Hybrid intelligent technique for voltage/VAR control in power systems

Tomin, Nikita; Kurbatsky, Victor; Reutsky, I. S.

doi:10.1049/iet-gtd.2019.0214

Cited by 7 publications

(9 citation statements)

References 31 publications

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“…As before, the vast majority of hierarchical controllers are designed for damping inter-area oscillations [65], [67], [105], [109], [113], [116], [117], [126], [147], [151], [169], [171], [178], [181], [196], [211], [223], [250]. From the remaining 17 papers, 4 present control strategies for improving rotor-angle stability [90], [145], [153], [202], 4 for improving frequency stability [203], [242], [251], [252]; 2 papers address voltage stability [132], [254]; and 7 propose control strategies for addressing two or more types of stability [44], [64], [66], [68], [136], [140], [158]. Although the proposal in [242] is presented as a distributed control strategy, the proposal considers a centralized and a distributed signal in a hierarchical manner, thus we classified it as hierarchical architecture-based strategy.…”

Section: ) Hierarchical Controlmentioning

confidence: 99%

“…Although some of these works do not explicitly specify the requirements of the measurement system [58], [157], [179], [184], the proposed controllers rely on fast-response measurements and hence we include them within the group of PMU-based systems. Nevertheless, several publications do not specify the measurement system, nor the requirements for such measurement system, thus remaining unclear upon which platform the controls where designed (WAMS, SCADA, and/or another monitoring system) [120], [149], [159], [201], [203], [212], [213], [215], [216], [219], [222], [229], [243], [244], [254].…”

Section: B Communication Issuesmentioning

confidence: 99%

“…When an event occurs, every LC uses the information received from the CS and determines whether it should respond and with how much power. Artificial intelligence (AI)-based, multi-agent systems (MAS) as power system control strategies were presented in [203] and [260]. The principle of distributed AI was implemented through a constant or periodic message exchange between agents, which can be represented by various (unspecific) power system components, including local controllers available in the electric system.…”

Section: ) Multi-element Approachmentioning

confidence: 99%

“…The principle of distributed AI was implemented through a constant or periodic message exchange between agents, which can be represented by various (unspecific) power system components, including local controllers available in the electric system. While the approach in [260] is purely preventive, the one in [203] developed both a preventive approach based on a deep learning strategy and a corrective one based on MAS. In [228], an active power modulation-based scheme that can be implemented in multiple active power-actuators is proposed.…”

Section: ) Multi-element Approachmentioning

confidence: 99%

“…Other AI-based WACS design approaches include decision tree-based schemes [59], [204], [208]; support vector machines [205], [206], online sequential extreme learning machine [207]; and multi-agent systems [202], [203], [210], [216], [257], [258], [260]. Other neural networks-based AI approaches were introduced in [209], [212], and [261].…”

Section: ) Intelligent Controlmentioning

confidence: 99%

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Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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Countries around the world are transitioning from conventional power systems dominated by synchronous generators towards low-carbon resources, characterized by high levels of converter-interfaced generators (CIGs). With this transformation, hundreds or even thousands of fast power electronic devices will be added to the grid as CIG penetration increases, thus making the system dynamic response progressively faster and more complex. This future scenario poses significant challenges in power system stability and control. To sustain power system stability in future power systems and achieve a seamless transition, we need to depart from current control practices based on decentralized and stand-alone local control actions and begin to explore new methods. A promising technology to overcome control complexities and underlying stability issues in future low-inertia power systems are wide area control (WAC). Within this technology, the control is no longer based on a purely localized tasks but rather a set of coordinated actions across wide areas in which interplant communication plays a key role. This paper presents the state of the art of existing research efforts in the field of WAC strategies for maintaining stability in large-scale low-inertia power systems of the future. We present different WAC solutions that have been put forward hitherto, we put these control strategies into context, classify them, and finally relate them to each other. We also raise open questions and challenges that need to be addressed in order to ensure a secure transition towards power systems dominated by CIGs. INDEX TERMS Power system control, power system stability, time delays, telecommunication issues, widearea measurement systems (WAMSs), wide-area power systems (WAPSs), wide-area control (WAC), power system control architecture, control techniques.

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