Emergency voltage and reactive power control using reduction of variables considering effectiveness against voltage stability

Kawamoto, Naoki; Takayama, Satoshi; Ishigame, Atsushi

doi:10.1109/pesgm.2017.8274046

Cited by 1 publication

(3 citation statements)

References 11 publications

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“…Specifically, 16 papers address inter-area oscillations [78], [81], [115], [122], [125], [130], [151], [179], [182], [193], [199], [227], [236], [238], [241], [248] and 15 papers address rotor-angle stability [137], [139], [161], [166], [180], [204], [206], [207], [210], [213], [216], [218], [219], [231], [233]. From the remaining 34 papers, 7 address frequency stability issues [127], [146], [150], [168], [235], [237], [257] and 10 papers address voltage stability [55], [149], [152], [184], [191], [194], [201], [244], [245], [260]. The remaining papers (...…”

Section: ) Centralized Controlmentioning

confidence: 99%

“…Additionally, [149] proposed a combined control strategy which included on-line tap changer (OLTC) schemes and capacitor banks simultaneously. Finally, some works proposed using a wide-area-based control of three or more reactive power-based actuators simultaneously, as in [194], in which AVR, OLTC, and shunt reactors and capacitors were considered. Another example is [81] which considered distributed generators (DGs), SVCs, and SSSCs as acting devices.…”

Section: ) Reactive Power Sourcesmentioning

confidence: 99%

“…SI simulates the collective behavior of artificial self-organized systems to solve complex mathematical problems. These algorithms represent nature-based phenomena, such as bacterial foraging algorithm [192]; firefly algorithm [116], [193]; particle swarm optimization (PSO) [194], [195], [196], [198], [199]; hierarchical structure poly-PSO [201]; mean variance mapping optimization [197]; and grey wolf optimization [61], [200].…”

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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