Fixed-Time Distributed Secondary Control for Islanded Microgrids With Mobile Emergency Resources Over Switching Communication Topologies

Wu, Zhenjie; Huang, Tianen; Mo, Yajun; Li, Xiang; Wang, Yuantao; Tang, Jian; Niu, Tao; Liao, Pei Hung; Lin, Xue; Xia, Yan

doi:10.1109/access.2021.3130642

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…In this section, some recent papers are highlighted in order to give to the reader an overview on how other programming methods than the ones considered in the previous sections are used for MG/NMG management [129][130][131][132][133][134][135][136][137][138].…”

Section: Other Programming Methodsmentioning

confidence: 99%

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A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

2022

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Microgrids (MGs) and networked (interconnected) microgrids (NMGs) are emerging as an efficient way for integrating distributed energy resources (DERs) into power distribution systems. MGs and NMGs can disconnect from the main grid and operate autonomously, strengthen grid resilience, and help mitigate grid disturbances and maintain power quality. In addition, when supported by sophisticated and efficient management strategies, MGs and NMGs have the ability to enhance power supply reliability. However, their deployment comes with many challenges, in particular regarding the efficient management of DERs. That is why a survey of recent advances in the smart management—the term refers to a variety of planning and control tasks—of MGs and NMGs is presented in this paper. It aims at establishing a picture of strategies and identifying trends in methods. The reader is provided with an in-depth analysis of a variety of papers recently published in peer-reviewed journals: the way the methods are used and the common issues addressed by the scientific community are discussed. Following this analysis, one can especially observe that (1) model-based predictive control (MPC) is emerging as a competitive alternative to conventional methods, in particular in voltage and frequency regulation and DER management (2) due to their ability to handle complex tasks, data-driven strategies are getting more and more attention from the scientific community (3) game theory (GT) is a very good candidate for efficient management of complex systems as NMGs (4) MPC and artificial intelligence are increasingly being used for proper MG islanded operation or to manage electric vehicles (EVs) efficiently.

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Section: Other Programming Methodsmentioning

confidence: 99%

“…Reliability of MG operation is improved. Mobile emergency resources are critical to the resilience of power distribution systems in case of natural disaster [136]. As a result, a distributed secondary control algorithm is designed to regulate frequency and voltage in islanded MGs.…”

Section: Other Programming Methodsmentioning

confidence: 99%

A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

2022

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“…As an effective new form of power supply technology that integrates distributed generators (DGs), multi-microgrids (MMGs) can promote local consumption of power from DGs and improve the energy utilization rate [1,2]. Under constantly changing operation conditions, an MMG can be unintentionally forced to switch to an islanded mode when the utility grids connected to the MMG fail [3].…”

Section: Introductionmentioning

confidence: 99%

Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids

Chen

Zhou

et al. 2023

IEEE Access

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Multi-microgrids (MMGs) suffer from power shortages due to the loss of utility grid support when an unintentional transition occurs. This imposes a transient shock on the system voltage and frequency. To maintain the frequency stability and power balance of an islanded MMG, this paper presents an underfrequency load shedding (UFLS) strategy with adaptive variation. A comprehensive load evaluation method based on a composite least squares support vector machine (CLS-SVM) is proposed to ensure uninterrupted power for critical loads. This method considers the comprehensive evaluation influence factors (CEIFs) of loads. Then, a least squares support vector machine (LS-SVM) provides the load shedding determination factors, transforming the problem of determining critical loads into a 0-1 planning problem. A method with adaptive variation is proposed to solve the UFLS model. The effectiveness of the proposed strategy is verified for an MMG model based on a modified IEEE 33-bus system. The test results show that: 1) the average accuracy of the proposed method is 21.05% higher than that based on LS-SVM; 2) compared with UFLS strategies based on the load level alone and on an intelligent algorithm, the frequency fluctuation range of the proposed strategy is 12.50% and 19.23% lower, respectively, and the frequency recovery time is 3.90% and 5.73% shorter, respectively; 3) compared with PSO, GOA and GA, the standard deviation of the iterative mean of the proposed algorithm decreases by 36.22%, 53.42%, and 34.00%, respectively. The proposed strategy can reduce the frequency fluctuation range and frequency recovery time while maintaining strong adaptability.INDEX TERMS Adaptive solution method, comprehensive evaluation, load shedding, microgrid, power shortage.

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Distributed Noise-Resilient Fixed-Time Consensus Secondary Control for Hybrid Inverter-Based AC/DC Microgrids

Lin,

Ko,

et al. 2023

IEEE Trans. on Ind. Applicat.

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Fixed-Time Distributed Secondary Control for Islanded Microgrids With Mobile Emergency Resources Over Switching Communication Topologies

Cited by 3 publications

References 24 publications

A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids

Distributed Noise-Resilient Fixed-Time Consensus Secondary Control for Hybrid Inverter-Based AC/DC Microgrids

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