Adaptive Defense Plan Against Anticipated Islanding of Microgrid

Manaz, M.A. Mohammed; Lu, Chan‐Nan

doi:10.1109/tsg.2018.2817500

Cited by 7 publications

(4 citation statements)

References 20 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%

“…The authors highlight that hybrid MGs-equipped with a combination of solar panels, batteries and networked emergency diesel generators-are more resilient and cost-effective than diesel-only systems. In [132], an adaptive optimal defense mechanism is proposed to establish secure MG islanding, without acquiring fast response energy resources. The dynamics involved in the islanding transition are considered into the search for optimal defense measures by using the "simulation optimization" technique.…”

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%

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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“…With a blind view of rigorously analytical analysis, these solely tuned controllers are potentially causing interaction problems in the interconnected area [15]. Numerous researchers have been focused on this and developed some parameter tuning methods [16]- [19]. For example, [16] and [17] contribute in establishing parameter selection theorem from controller robustness, small-signal stability and frequency response points of view.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, a particle swarm optimization is implemented in [18] to tune the virtual synchronous generator parameters. In [19], simulationoptimization technique is applied to determine power dispatch among DGs, which takes full consideration of nonlinear dynamics during microgrid islanding transitions but without complexifying the optimization problem. Yet, among the existing literature, microgrid transient process (i.e.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Control Strategy for Microgrid Operating Modes Smooth Transition

Meng

et al. 2020

IEEE Access

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Microgrid transition between standalone and grid-connected modes is a promising alternative to provide the grid with increasing flexibility and availability. However, transition smoothness relies heavily on control topologies and corresponding parameters, which thus remains challengeable. Existing microgrid transition strategies have two major deficiencies: 1) Inverter control mode alters subjected to microgrid operating mode, for instance, the inverter in current control will switch to voltage control when microgrid disconnects to the utility grid; 2) Controller parameters are selected based on practice and experience, where a systematic and efficient approach does not exist. Motivated by these limitations, in this paper, an autonomous control strategy is proposed for microgrid smooth state transitions. It is highlighted in the following aspects: 1) The cascaded control strategy enables smooth state transition within a single control structure, which permits controller independent of mode switching; 2) Nonlinear-Simplex based algorithm is interfaced with electromagnetic transient simulations, searching for optimal controller parameters in order to minimize voltage deviation in a chain of microgrid events. The effectiveness of the control framework is validated with simulations in PSCAD/EMTDC and RTDS.

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Mitigation of Power System Blackout with Microgrid System

Venkatanagaraju

Biswal

2020

Lecture Notes in Electrical Engineering

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Adaptive Defense Plan Against Anticipated Islanding of Microgrid

Cited by 7 publications

References 20 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

Autonomous Control Strategy for Microgrid Operating Modes Smooth Transition

Mitigation of Power System Blackout with Microgrid System

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