referencias.bib

@article{Paigi2013,
  author  = {Tine L. Vandoorn and Juan C. Vásquez and Jeroen de Kooning and Josep M. Guerrero and Lieven Vandevelde},
  title   = {Microgrids: Hierarchical Control and an Overview of the Control and Reserve Management Strategies},
  year    = {2013},
  journal = {IEEE Industrial Electronics Magazine},
  doi     = {10.1109/MIE.2013.2279306},
  month   = {Dezembro}
}

@phdthesis{coutinho2021,
  author  = {Pedro Henrique Silva Coutinho},
  title   = {Dynamic event-triggered control of nonlinear systems: a quasi-LPV approach},
  year    = {2021},
  school  = {Universidade Federal de Minas Gerais - Escola de Engenharia},
  address = {Belo Horizonte, Brasil}
}

@article{zhou2020,
  author   = {Zhou, Quan and Shahidehpour, Mohammad and Paaso, Aleksi and Bahramirad, Shay and Alabdulwahab, Ahmed and Abusorrah, Abdullah},
  title    = {Distributed Control and Communication Strategies in Networked Microgrids},
  journal  = {IEEE Communications Surveys \& Tutorials},
  year     = {2020},
  volume   = {22},
  number   = {4},
  pages    = {2586-2633},
  keywords = {Decentralized control;Internet of Things;Power system reliability;Microgrids;Resilience;Distributed databases;Networked microgrids;distributed control and communication techniques;distributed energy resources},
  doi      = {10.1109/COMST.2020.3023963}
}

@article{Girard2015,
  author   = {Girard, Antoine},
  journal  = {IEEE Transactions on Automatic Control},
  title    = {Dynamic Triggering Mechanisms for Event-Triggered Control},
  year     = {2015},
  volume   = {60},
  number   = {7},
  pages    = {1992-1997},
  keywords = {Closed loop systems;Lyapunov methods;Performance analysis;Asymptotic stability;Stability analysis;Linear systems;Event-triggered control;real-time control systems;input-to-state stability},
  doi      = {10.1109/TAC.2014.2366855}
}

@book{lyapunov1892,
  title     = {The General Problem of the Stability of Motion},
  author    = {Lyapunov, A. M.},
  year      = {1892},
  publisher = {Kharkov Mathematical Society},
  address   = {Russia}
}

@book{khalil2002,
  title     = {Nonlinear systems},
  author    = {Khalil, Hassan K},
  publisher = {Prentice Hall},
  year      = {2002},
  edition   = {3},
  address   = {New Jersey}
}

@book{boyd1994,
  title     = {Linear Matrix Inequalities in
               System and Control Theory},
  author    = {Stephen Boyd and Laurent El Ghaoui and
               Eric Feron and Venkataramanan Balakrishnan},
  publisher = {Society for Industrial and Applied Mathematics},
  year      = {1994},
  address   = {Philadelphia}
}

@article{peng2018,
  title     = {A survey on recent advances in event-triggered communication and control},
  author    = {Peng, Chen and Li, Fuqiang},
  journal   = {Information Sciences},
  year      = {2018},
  doi       = {10.1016/j.ins.2018.04.055},
  publisher = {Elsevier Inc.}
}

@inbook{Lemmon2010,
  author    = {Lemmon, Michael},
  editor    = {Bemporad, Alberto
               and Heemels, Maurice
               and Johansson, Mikael},
  title     = {Event-Triggered Feedback in Control, Estimation, and Optimization},
  booktitle = {Networked Control Systems},
  year      = {2010},
  publisher = {Springer London},
  address   = {London},
  pages     = {293--358},
  abstract  = {Networked control systems often send information across the communication network in a periodic manner. The selected period, however, must assure adequate system performance over a wide range of operating conditions and this conservative' choice may result in significant over-provisioning of the communication network. This observation has motivated the use of sporadic transmission across the network's feedback channels. Event-triggering represents one way of generating such sporadic transmissions. In event-triggered feedback, a sensor transmits when some internal measure of the novelty in the sensor information exceeds a specified threshold. In particular, this means that when the gap between the current and the more recently transmitted sensor measurements exceeds a state-dependent threshold, then the information is transmitted across the channel. The state-dependent thresholds are chosen in a way that preserves commonly used stability concepts such as input-to-state stability or {\$}{\{}{\backslash}mathcal L{\}}{\_}2{\$}stability. This approach for threshold selection therefore provides a systematic way of triggering transmissions that provides some guarantees on overall control system performance. While early work in event-triggering focused on control applications, this technique can also be used in distributed estimation and distributed optimization. This chapter reviews recent progress in the use of state-dependent event-triggering in embedded control, networked control systems, distributed estimation, and distributed optimization.},
  isbn      = {978-0-85729-033-5},
  doi       = {10.1007/978-0-85729-033-5_9},
  url       = {https://doi.org/10.1007/978-0-85729-033-5_9}
}

@article{Tabuada2007,
  author   = {Tabuada, Paulo},
  journal  = {IEEE Transactions on Automatic Control},
  title    = {Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks},
  year     = {2007},
  volume   = {52},
  number   = {9},
  pages    = {1680-1685},
  keywords = {Communication system control;Processor scheduling;Microprocessors;Scheduling algorithm;Adaptive control;Stability;Computer networks;Embedded computing;Physics computing;Feedback;Event-triggered;input-to-state stability;real-time scheduling},
  doi      = {10.1109/TAC.2007.904277}
}

@article{Wang2020,
  author   = {Wang, Chenliang and Wen, Changyun and Hu, Qinglei},
  journal  = {IEEE Transactions on Automatic Control},
  title    = {Event-Triggered Adaptive Control for a Class of Nonlinear Systems With Unknown Control Direction and Sensor Faults},
  year     = {2020},
  volume   = {65},
  number   = {2},
  pages    = {763-770},
  keywords = {Backstepping;Nonlinear systems;Adaptive control;Uncertainty;State estimation;Closed loop systems;Adaptive control;event-triggered control;nonlinear systems;sensor faults;unknown control direction},
  doi      = {10.1109/TAC.2019.2916999}
}

@article{Zong2023,
  title    = {Finite-time $\mathscr{H}_\infty$ control for switched fuzzy systems: A dynamic adaptive event-triggered control approach},
  journal  = {Fuzzy Sets and Systems},
  volume   = {464},
  pages    = {108475},
  year     = {2023},
  note     = {Control Engineering(158p)},
  issn     = {0165-0114},
  doi      = {https://doi.org/10.1016/j.fss.2023.01.010},
  url      = {https://www.sciencedirect.com/science/article/pii/S0165011423000222},
  author   = {Guangdeng Zong and Xue Sun and Dong Yang and Shun-Feng Su and Kaibo Shi},
  keywords = {Dynamic adaptive event-triggered mechanism, Finite-time boundedness,  performance, Switched fuzzy systems},
  abstract = {This paper investigates the finite-time H∞ control problem for switched fuzzy systems using the edge-dependent average dwell time switching. A dynamic event-triggered mechanism is adopted to alleviate communication pressure. An adaptive law is set up to adjust the threshold on-line, which deeply affects the triggering times. It is rigorously proved that the Zeno behavior is excluded. A set of dynamic event-triggered controllers and edge-dependent average dwell time switching signals are co-designed to achieve desired performance. Finally, a chemical reaction example is given to validate the effectiveness of the proposed method.}
}

@article{Ge2017,
  author   = {Ge, Xiaohua and Han, Qing-Long},
  journal  = {IEEE Transactions on Industrial Electronics},
  title    = {Distributed Formation Control of Networked Multi-Agent Systems Using a Dynamic Event-Triggered Communication Mechanism},
  year     = {2017},
  volume   = {64},
  number   = {10},
  pages    = {8118-8127},
  keywords = {Protocols;Data communication;Symmetric matrices;Communication networks;Multi-agent systems;Dynamic scheduling;Schedules;Autonomous mobile robot;dynamic threshold parameter;event-triggered communication mechanism (ECM);formation control;multi-agent system (MAS)},
  doi      = {10.1109/TIE.2017.2701778}
}

@article{Ning2018,
  author   = {Ning, Zhaoke and Yu, Jinyong and Pan, Yingnan and Li, Hongyi},
  journal  = {IEEE Transactions on Fuzzy Systems},
  title    = {Adaptive Event-Triggered Fault Detection for Fuzzy Stochastic Systems With Missing Measurements},
  year     = {2018},
  volume   = {26},
  number   = {4},
  pages    = {2201-2212},
  keywords = {Fault detection;Delays;Adaptive systems;Stochastic processes;Stochastic systems;Adaptation models;Nonlinear systems;Adaptive event-triggered strategy;fault detection;fuzzy stochastic systems;missing measurements;network-induced delays},
  doi      = {10.1109/TFUZZ.2017.2780799}
}

@article{Wu2021,
  title    = {Dynamic event-triggered $\mathscr{L}_\infty$ control for networked control systems under deception attacks: a switching method},
  journal  = {Information Sciences},
  volume   = {561},
  pages    = {168-180},
  year     = {2021},
  issn     = {0020-0255},
  doi      = {https://doi.org/10.1016/j.ins.2021.01.076},
  url      = {https://www.sciencedirect.com/science/article/pii/S0020025521001146},
  author   = {Zhiying Wu and Junlin Xiong and Min Xie},
  keywords = {Deception attacks, Dynamic event-triggered scheme, Lyapunov-Krasovskii functional, Networked linear control systems, Stability},
  abstract = {Based on the event-triggered scheme (ETS), the L∞ control problem is considered for networked control systems subject to stochastic deception attacks. A novel dynamic switching ETS is proposed to reduce the number of transmitted signals. A stochastic model is used for deception attacks, where the system states are corrupted by attackers. Under this framework, the system to be investigated is modeled as a new switched system. By using the constructed Lyapunov function, sufficient criteria are derived to guarantee the exponential mean-square stability and L∞ performance. Subsequently, the corresponding controller is designed. Finally, the effectiveness of the dynamic ETS is illustrated by using an unmanned aerial vehicle system.}
}

@article{Zhang2017,
  title    = {Absolute Stabilization of Lur'e Systems Under Event-Triggered Feedback},
  journal  = {IFAC-PapersOnLine},
  volume   = {50},
  number   = {1},
  pages    = {15301-15306},
  year     = {2017},
  note     = {20th IFAC World Congress},
  issn     = {2405-8963},
  doi      = {https://doi.org/10.1016/j.ifacol.2017.08.2441},
  url      = {https://www.sciencedirect.com/science/article/pii/S2405896317333104},
  author   = {Fan Zhang and Manuel Mazo and Nathan {van de Wouw}},
  keywords = {Lur'e systems, absolute stabilization, event-triggered feedback, Zeno behavior, linear matrix inequalities},
  abstract = {In this paper, we deal with event-triggered feedback control for Lur'e systems that consist of negative feedback interconnection of nominal linear dynamics and an unknown static nonlinearity. The unknown nonlinearity is conventionally assumed to lie in a given sector while the sector bounds are known. In the presence of event-triggered feedback mechanisms, the control input is only computed and updated when a specific event occurs. In this sense, control system resources (e.g. computation and communication capabilities) can be saved. A sufficient condition for the existence of an event-triggering condition and the corresponding even-triggered controller design are obtained by means of linear matrix inequality techniques. In addition, the avoidance of Zeno behavior is guaranteed. Furthermore, a result on the event-triggered emulation of a continuous-time feedback controller for Lur'e systems is presented. Finally, numerical simulations are given to illustrate the theoretical results along with some concluding remarks.}
}

@article{Pan2017,
  title    = {Event-triggered fuzzy control for nonlinear networked control systems},
  journal  = {Fuzzy Sets and Systems},
  volume   = {329},
  pages    = {91-107},
  year     = {2017},
  note     = {Theme: Control},
  issn     = {0165-0114},
  doi      = {https://doi.org/10.1016/j.fss.2017.05.010},
  url      = {https://www.sciencedirect.com/science/article/pii/S0165011417302105},
  author   = {Yingnan Pan and Guang-Hong Yang},
  keywords = {Interval type-2 fuzzy systems, Nonlinear systems, Event-triggered mechanism, Dynamic output feedback controller},
  abstract = {This paper investigates the problem of event-triggered (ET) dynamic output feedback controller (DOFC) design for nonlinear networked control systems (NCSs) in the framework of interval type-2 (IT2) fuzzy systems. The parameter uncertainties in the nonlinear plant can be captured effectively by utilizing the membership functions with upper and lower bounds. To reduce the utilization of limited network bandwidth, an ET communication mechanism is applied. A novel type of DOFC subject to parameter uncertainties, ET communication mechanism and transmission delay is proposed, where the membership functions are different from those of the fuzzy models. Consequently, the closed-loop system is with mismatched membership functions, which hampers the stability analysis and controller design. To promote the stability analysis and achieve a better control performance, the information of membership functions and slack matrices are utilized for obtaining the main results. Finally, a simulation example is employed to demonstrate the effectiveness of the proposed mechanism.}
}

@article{Ren2018,
  title     = {Event-triggered finite-time resilient control for switched systems: an observer-based approach and its applications to a boost converter circuit system model},
  author    = {Ren, Hangli and Zong, Guangdeng and Ahn, Choon Ki},
  journal   = {Nonlinear Dynamics},
  volume    = {94},
  number    = {4},
  pages     = {2409--2421},
  year      = {2018},
  month     = {12},
  doi       = {10.1007/s11071-018-4499-0},
  publisher = {Springer},
  issn      = {1573-269X},
  abstract  = {Under an event-triggered communication scheme (ETCS), this note focuses on the observer-based finite-time resilient control problem for a class of switched systems. Different from the existing finite-time problems, not only the problem of finite-time boundedness (FTBs) but also the problem of input-output finite-time stability (IO-FTSy) are considered in this paper. To effectively use the network resources, an ETCS is formulated for switched systems. Considering that not all the states could be measured, thus an event-triggered observer is constructed, and then, an observer-based resilient controller is devised, which robustly stabilizes the given systems in the meaning of finite-time control. Based on time-delay method and Lyapunov functional approach, interesting results are derived to verify the properties of the FTBs and the IO-FTSy of the event-triggered (ET) closed-loop error switched systems. All the matrix inequalities can be converted to linear matrix inequalities (LMIs) so as to simultaneously obtain the controller gain and observer gain. Finally, the applicability of the proposed control scheme is verified via a boost converter circuit system.},
  url       = {https://doi.org/10.1007/s11071-018-4499-0}
}

@article{Soni2023,
  author   = {Soni, Sandeep Kumar and Singh, Saumya and Singh, Kumar Abhishek and Xiong, Xiaogang and Saket, R. K. and Sachan, Ankit},
  journal  = {IEEE Transactions on Circuits and Systems II: Express Briefs},
  title    = {Event-Triggered Control for LPV Modeling of DC–DC Boost Converter},
  year     = {2023},
  volume   = {70},
  number   = {6},
  pages    = {2062-2066},
  keywords = {Switches;Voltage control;Lyapunov methods;Nonlinear dynamical systems;Linear matrix inequalities;Closed loop systems;Behavioral sciences;Linear parameter-varying systems;ETC;boost converter;parameter dependent Lyapunov function},
  doi      = {10.1109/TCSII.2022.3230418}
}

@inproceedings{Ma2016,
  author    = {Ma, Guoqi and Qin, Linlin and Liu, Xinghua and Wu, Gang},
  booktitle = {2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)},
  title     = {Event-triggered output-feedback control for switched linear systems with applications to a boost converter},
  year      = {2016},
  volume    = {},
  number    = {},
  pages     = {2431-2436},
  keywords  = {Switches;Symmetric matrices;Linear systems;Switched systems;Asymptotic stability;Linear matrix inequalities;Event-triggered control;switched systems;output-feedback;asymptotic stability;boost converter},
  doi       = {10.1109/ICIEA.2016.7604000}
}

@article{Xie2023,
  author   = {Xie, Hongzhen and Zong, Guangdeng and Yang, Dong and Shi, Kaibo},
  title    = {Input-to-state practical stability analysis and controller design of switched affine systems: An observer-based approach},
  journal  = {Asian Journal of Control},
  volume   = {25},
  number   = {4},
  pages    = {3045-3056},
  keywords = {dynamic event-triggered control, input-to-state practical stability, sampled-data switching, switched affine systems},
  doi      = {https://doi.org/10.1002/asjc.3006},
  url      = {https://onlinelibrary.wiley.com/doi/abs/10.1002/asjc.3006},
  eprint   = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.3006},
  abstract = {Abstract This paper addresses the problems of the input-to-state practical stability (ISPS) analysis and output feedback controller design for switched affine systems (SASs) subject to external disturbances. First, a switched affine observer is developed to estimate unmeasurable states. Then by combining the sampled-data control approach, a less conservative mode-dependent dynamic event-triggered mechanism (ETM) is established. The proposed dynamic ETM cannot only avoid Zeno behavior but also reduce the network transmission burden effectively. Further, based on time-dependent Lyapunov-Krasovskii functional and state-dependent switching laws, a set of feasible ISPS conditions are presented in the LMI forms by means of singular value decomposition. The designed switching law depends upon the sampled-data information of the estimated state and gets rid of the chattering phenomenon. Finally, an application example of the DC-DC flyback converter is given to verify the efficacy of the proposed algorithm.},
  year     = {2023}
}

@article{Kumar2020,
  author   = {Kumar, Vivek and Mohanty, Soumya R. and Kumar, Shashank},
  journal  = {IEEE Transactions on Smart Grid},
  title    = {Event Trigger Super Twisting Sliding Mode Control for DC Micro Grid With Matched/Unmatched Disturbance Observer},
  year     = {2020},
  volume   = {11},
  number   = {5},
  pages    = {3837-3849},
  keywords = {Microgrids;Voltage control;Uncertainty;Inverters;Sliding mode control;Disturbance observers;Batteries;Disturbance observer;super twisting sliding mode control;event trigger control;Lyapunov theory;microgrid;dc-ac converter;dc bus voltage control;controller hardware in loop (CHIL)},
  doi      = {10.1109/TSG.2020.2990451}
}

@article{Dragicevic2015,
  author  = {Dragicevic, Tomislav and Lu, Xiaonan and Vasquez, Juan C. and Guerrero, Josep},
  year    = {2015},
  month   = {01},
  pages   = {1-1},
  title   = {DC Microgrids–Part I: A Review of Control Strategies and Stabilization Techniques},
  volume  = {31},
  journal = {IEEE Transactions on Power Electronics},
  doi     = {10.1109/TPEL.2015.2478859}
}

@article{Elsayed2015,
  title    = {DC microgrids and distribution systems: An overview},
  journal  = {Electric Power Systems Research},
  volume   = {119},
  pages    = {407-417},
  year     = {2015},
  issn     = {0378-7796},
  doi      = {https://doi.org/10.1016/j.epsr.2014.10.017},
  url      = {https://www.sciencedirect.com/science/article/pii/S0378779614003885},
  author   = {Ahmed T. Elsayed and Ahmed A. Mohamed and Osama A. Mohammed},
  keywords = {DC distribution, DC standards, Design, Protection, Stability, Smart grid},
  abstract = {This paper presents an overview of the most recent advances in DC distribution systems. Due to the significantly increasing interest that DC power systems have been gaining lately, researchers investigated several issues that need to be considered during this transition interval from current conventional power systems into modern smart grids involving DC microgrids. The efforts of these researchers were mostly directed toward studying the feasibility of implementing DC distribution on a given application, DC distribution design-related aspects such as the system architecture or its voltage level, or the unique challenges associated with DC power systems protection and stability. In this paper, these research efforts were categorized, discussed and analyzed to evaluate where we currently stand on the migration path from the overwhelming fully AC power system to a more flexible hybrid AC/DC power system. Moreover, the impediments against more deployment of DC distribution systems and some of the proposed solutions to overcome those impediments in the literature will be discussed. One of the obstacles to increased DC system penetration is the lack of standards. This problem will be discussed, and the most recent standardization efforts will also be summarized and presented.}
}

@article{Salomonsson2008,
  author            = {Salomonsson, Daniel and Soder, Lennart and Sannino, Ambra},
  title             = {An adaptive control system for a DC microgrid for data centers},
  year              = {2008},
  journal           = {IEEE Transactions on Industry Applications},
  volume            = {44},
  number            = {6},
  pages             = {1910 – 1917},
  doi               = {10.1109/TIA.2008.2006398},
  url               = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-57049162052&doi=10.1109%2fTIA.2008.2006398&partnerID=40&md5=1da515fa24781cd43f8954d8dbb9938f},
  type              = {Article},
  publication_stage = {Final},
  source            = {Scopus},
  note              = {Cited by: 294}
}

@article{Salomonsson2007,
  author            = {Salomonsson, Daniel and Sannino, Ambra},
  title             = {Low-voltage DC distribution system for commercial power systems with sensitive electronic loads},
  year              = {2007},
  journal           = {IEEE Transactions on Power Delivery},
  volume            = {22},
  number            = {3},
  pages             = {1620 – 1627},
  doi               = {10.1109/TPWRD.2006.883024},
  url               = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548030939&doi=10.1109%2fTPWRD.2006.883024&partnerID=40&md5=ba141bcc08a058bd35c753695383b2bc},
  type              = {Article},
  publication_stage = {Final},
  source            = {Scopus},
  note              = {Cited by: 518}
}

@book{martins2008,
  title     = {Eletrônica de Potência: Conversores CC-CC Básicos Não Isolados},
  author    = {Martins, Denizar Cruz and Barbi, Ivo},
  year      = {2008},
  edition   = {3ª edição revisada},
  publisher = {Edição dos Autores},
  address   = {Florianópolis}
}

@mastersthesis{bessa2022,
  title   = {Desenvolvimento de um sistema auxiliar ativo para supressão de oscilações decorrentes da conexão de CPLs em microrredes CC},
  author  = {Bessa, Isaías Valente de},
  year    = {2022},
  school  = {Universidade Federal do Amazonas},
  address = {Manaus, AM},
  type    = {Dissertação de Mestrado},
  pages   = {95}
}

@article{Yang2024,
  title    = {Event-triggered delayed impulsive control for functional differential systems on networks},
  journal  = {Communications in Nonlinear Science and Numerical Simulation},
  volume   = {131},
  pages    = {107850},
  year     = {2024},
  issn     = {1007-5704},
  doi      = {https://doi.org/10.1016/j.cnsns.2024.107850},
  url      = {https://www.sciencedirect.com/science/article/pii/S1007570424000364},
  author   = {Ni Yang and Xuliang Gu and Huan Su},
  keywords = {Exponential Stability, Event-triggered mechanism, Multi-delayed impulse, Zeno behavior},
  abstract = {This article investigates the stability of functional differential systems on networks adopting event-triggered multi-delayed impulsive control. We construct a new event-triggered mechanism (ETM) type using the Lyapunov function and the network topology. Combined with the ETM and multi-delayed impulsive control, in which the impulsive jumps are related to the current and past states, we propose a multi-delayed event-triggered impulsive control strategy. This controller will execute the control tasks only when the systems violate the preset ETM. In the view of the Razumikhin method and the graph theory, some criteria are given to avoiding Zeno behavior under this ETM and achieving exponential stability, which is related to the event-triggered parameters, network topology, and impulsive intensity. As an application of our theoretical results, a class of coupled oscillation systems is considered and numerical simulations are presented to verify the practicability and effectiveness.}
}


@article{Bessa2020,
  author         = {de Bessa, Isaías V. and de Medeiros, Renan L. P. and Bessa, Iury and Ayres Junior, Florindo A. C. and de Menezes, Alessandra R. and Torres, Gustavo M. and Chaves Filho, João Edgar},
  title          = {Comparative Study of Control Strategies for Stabilization and Performance Improvement of DC Microgrids with a CPL Connected},
  journal        = {Energies},
  volume         = {13},
  year           = {2020},
  number         = {10},
  article-number = {2663},
  url            = {https://www.mdpi.com/1996-1073/13/10/2663},
  issn           = {1996-1073},
  abstract       = {The DC microgrid system is composed by converters that operate like feeders and loads. Among these loads, we highlight the constant power loads (CPLs) that may cause instability in the microgrid, observed in the form of undesired oscillations due to its negative impedance behavior. Therefore, this work proposes to use performance indices and stability margins to evaluate state and output feedback control strategies for stabilization of DC microgrids. In particular, it is proposed to evaluate the stability margin of the proposed methodologies by means of the impedance relations in the microgrid based on the Middlebrook criterion. Our simulations and tests showed the relation between the performance and stability degradation and the microgrid impedances variation.},
  doi            = {10.3390/en13102663}
}


@article{Amiri2020,
  title    = {Voltage control in a DC islanded microgrid based on nonlinear disturbance observer with CPLs},
  journal  = {Journal of Energy Storage},
  volume   = {29},
  pages    = {101296},
  year     = {2020},
  issn     = {2352-152X},
  doi      = {https://doi.org/10.1016/j.est.2020.101296},
  url      = {https://www.sciencedirect.com/science/article/pii/S2352152X19303470},
  author   = {Habib Amiri and Gholamreza Arab Markadeh and Nima Mahdian Dehkordi},
  keywords = {Backstepping control, Sepic converter, Constant power load (CPL), Nonlinear disturbance observer (NDO), Microgrid, Photovoltaic systems, Robust control},
  abstract = {In this paper, a nonlinear voltage control for a DC islanded microgrid (MG) is proposed. This control method is a new nonlinear decentralized backstepping based strategy for voltage control of DC MG based on Sepic converter with nonlinear loads such as constant power loads (CPLs). The effect of CPL is to realize a load with negative resistance for DC MG that impacts the power quality of the power system and causes negative damping. The major purpose of the proposed controller is to improve the transient performance of MG with the Plug and Play (PnP) feature in the presence of load change and CPL. To consider the effects of such loads on the proposed control method, a nonlinear disturbance observer (NDO) along with backstepping controller is introduced to estimate the uncertain terms such as CPL and load currents as well as the current transferred between DGUs. The proposed method only measures the local voltage and current quantities without any need for additional information about the grid topology and its parameters. This method successfully regulates the point of common coupling (PCC) voltage. The stability of the method is proved via Lyapunov theory and its features are verified with simulation and some experiment tests.}
}

@book{Duan2013,
  title     = {LMIs in Control Systems: Analysis, Design and Applications},
  author    = {Duan, G.R. and Yu, H.H.},
  isbn      = {9781466583009},
  lccn      = {2013008019},
  url       = {https://books.google.com.br/books?id=WY_NBQAAQBAJ},
  year      = {2013},
  publisher = {CRC Press}
}

@article{Bhavani2022,
  title    = {Design and implementation of iot integrated monitoring and control system of renewable energy in smart grid for sustainable computing network},
  journal  = {Sustainable Computing: Informatics and Systems},
  volume   = {35},
  pages    = {100769},
  year     = {2022},
  issn     = {2210-5379},
  doi      = {https://doi.org/10.1016/j.suscom.2022.100769},
  url      = {https://www.sciencedirect.com/science/article/pii/S2210537922001007},
  author   = {NP G. Bhavani and Ravi Kumar and Bhawani Sankar Panigrahi and Kishore Balasubramanian and B. Arunsundar and Zulkiflee Abdul-Samad and Abha Singh},
  keywords = {Smart Grid, Internet of Things, MLDRNN, Renewable, CPCS},
  abstract = {The Smart Grid (SG) is a system with a lot of controls and communications. Both local and global controls are included in these controls. One of the advantages of SG over a traditional utility grid is that it uses a two-way communication mechanism at each stage. However, challenges such as complexity, data gathering and administration, and so on are brought into the SG system as a result of this two-way communication. As a result, an SG needs connectivity, automation and device tracking. The Internet of Things is used to do this (IoT). This study presents an IoT-enabled smart grid monitoring and control system in a computer network. Here the IoT module has been used in monitoring the network which is integrated with (MLDRNN). Renewable (DER) should be combined in grids to make electricity supply more reliable and reduce transmission losses. The control system of smart grid has been enhanced using (CPCS). The suggested system is scalable, modular, and allows for the interoperability of various types of inverters, as well as data transmission over a secure communication channel. All of these characteristics, combined with its low cost, make the created control system and monitoring platform ideal for monitoring smart microgrids online. The experimental results show scalability, QoS, power consumption, efficiency of the network.}
}

@article{Wadi2024,
  title    = {Load frequency control in smart grids: A review of recent developments},
  journal  = {Renewable and Sustainable Energy Reviews},
  volume   = {189},
  pages    = {114013},
  year     = {2024},
  issn     = {1364-0321},
  doi      = {https://doi.org/10.1016/j.rser.2023.114013},
  url      = {https://www.sciencedirect.com/science/article/pii/S1364032123008717},
  author   = {Mohammed Wadi and Abdulfetah Shobole and Wisam Elmasry and Ismail Kucuk},
  keywords = {Multi-area interconnected power system (MAIPS), Load frequency control (LFC), Optimization algorithms, Renewable energy, Artificial intelligence (AI), Smart grids, Electric vehicles (EVs), Communications failures, Cyber attacks},
  abstract = {This study provides a comprehensive and fresh review of load frequency control (LFC) in multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep frequency variations as minimum as possible to achieve an acceptable level of stability. This research provides a complete view, from early classical control to recent technologies and modern techniques considering strategies, robust, optimal, self-tuning, and adaptive controllers for LFC in MAIPSs. Fuzzy control and earlier and recent optimization algorithms also are analyzed. The linearity, nonlinearity, and uncertainty of LFC models are also investigated. This review emphasizes recent technological advances and novel control strategies. LFC is also considered with the integration of wind, photovoltaic, electric vehicles, and storage devices. Besides, the utilization of machine learning and reinforcement techniques is examined. Further, LFC in smart grids and modern complex power systems concerning limited communication bandwidth, communication failure, and cyber-attacks are also investigated. This review provides an in-depth and detailed diagnosis of the challenges associated with LFC in modern and complex power systems. This work may be valuable for studies and practitioners interested in LFC. It, in detail, investigates future efforts and directions to enhance LFC performance, stability, and reliability in the face of increasing complexity and uncertainty.}
}

@article{Li2023,
  title    = {Dynamic event-triggered fuzzy non-fragile control of DC microgrids},
  journal  = {ISA Transactions},
  volume   = {142},
  pages    = {83-97},
  year     = {2023},
  issn     = {0019-0578},
  doi      = {https://doi.org/10.1016/j.isatra.2023.07.012},
  url      = {https://www.sciencedirect.com/science/article/pii/S0019057823003191},
  author   = {Fuqiang Li and Kang Li and Chen Peng and Lisai Gao},
  keywords = {DC microgrids, Saturated non-fragile control, T-S fuzzy control, False data injection attacks, Dynamic event-triggered mechanism},
  abstract = {This paper studies the event-triggered fuzzy non-fragile control of uncertain DC microgrids subject to false data injection (FDI) attacks, controller saturation, network delays and premise mismatching. Firstly, a dynamic event-triggered mechanism (ETM) is proposed, which can save more communication bandwidth than the static ETMs, and remove the complex Zeno-free computation required by the continuous-time ETMs. Secondly, a fuzzy time-delay closed-loop system model is established, which provides a unified framework to study the effects of the dynamic ETM, FDI attacks, uncertainties, saturation, delays and premise mismatching. Thirdly, mean-square exponential stability criteria are established, and co-design method for the saturated fuzzy non-fragile (SFNF) controller and the dynamic ETM is presented. Simulation results confirm that the SFNF controller can stabilize the unstable DC microgrid, while the dynamic ETM significantly reduces the triggering rate by 84.98%. Comparisons show that the proposed controller performs better than the non-fragile controller, fuzzy controller and robust linear controller, and the dynamic ETM achieves a lower triggering rate than the static ETMs.}
}

@article{Negahdar2024,
  title    = {Reinforcement learning-based event-triggered secondary control of DC microgrids},
  journal  = {Energy Reports},
  volume   = {11},
  pages    = {2818-2831},
  year     = {2024},
  issn     = {2352-4847},
  doi      = {https://doi.org/10.1016/j.egyr.2024.02.033},
  url      = {https://www.sciencedirect.com/science/article/pii/S235248472400115X},
  author   = {Houshmand Negahdar and Amin Karimi and Yousef Khayat and Saeed Golestan},
  keywords = {Artificial intelligent, DC microgrids, Event-triggered control, Power-sharing, Reinforcement learning, Secondary control, Voltage regulation},
  abstract = {In this paper, a reinforcement learning (RL)-based event-triggered mechanism (ETM) for employing in the secondary control layer (SCL) of DC microgrids is developed. The proposed RL-based ETM satisfies the SCL objectives, which is overcoming the disadvantages of primary control (such as voltage deviation and inappropriate current sharing among the distributed generating units). More importantly, it also aids in reducing the amount of transmitted data exchanged within all the distributed generators (DGs). The design parameters of the ETM scheme are regulated through a robust RL approach to provide adaptive ETM parameter tuning, enabling the ETM error vector threshold to quickly adapt to changes in the MG. The suggested RL-based ETM approach is implemented in a DC microgrid, and utilizing hardware in the loop (HIL) real-time OPAL-RT experimental tests, its performance in the SCL of DC microgrids is investigated. Experimental validations have confirmed the merits of the proposed approach.}
}