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Hybrid power plant bidding strategy for voltage stability improvement, electricity market profit maximization, and congestion management

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 26 Mar 2021Publisher:Institution of Engineering and Technology (IET)Journal:IET Energy Systems Integration, volume 3, pages 130-141 (issn: 2516-8401, eissn: 2516-8401,

Authors: Amin Rajabi; Jiangfeng Zhang; Li Li; Ali Azizivahed; Mojtaba Jabbari Ghadi; Sahand Ghavidel;

doi: 10.1049/esi2.12008

Hybrid power plant bidding strategy for voltage stability improvement, electricity market profit maximization, and congestion management

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Abstract

AbstractThis article models a hybrid power plant (HPP), including a compressed air energy storage (CAES) aggregator with a wind power aggregator (WPA) considering network constraints. Three objective functions are considered including electricity market profit maximization, congestion management, and voltage stability improvement. In order to accurately model the WPA, pitch control curtailment wind power levels are also added to the wind power generator models. To optimize all the mentioned objective functions, a multi‐objective Pareto front solution strategy is used. Finally, a fuzzy method is used to find the best compromise solution. The proposed approach is tested on a realistic case study based on an electricity market and wind farm located in Spain, and IEEE 57‐bus test system is used to evaluate the network constraint effects on the HPP scheduling for different objective functions.

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Keywords

TK1001-1841, wind power plants, compressed air energy storage, wind power, Energy industries. Energy policy. Fuel trade, Production of electric energy or power. Powerplants. Central stations, power markets, Pareto optimisation, HD9502-9502.5, power generation economics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%