Approximate dynamic programming-based decentralised robust optimisation approach for multi-area economic dispatch considering wind power uncertainty

This study presents a fully decentralised robust optimisation (RO) approach for multi-area economic dispatch (MA-ED) in the presence of wind power uncertainty. Unlike traditional algorithms, the authors formulate this MA-ED problem as dynamic programming problem, and decompose the centralised robust...

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Veröffentlicht in:	IET renewable power generation Jg. 14; H. 13; S. 2376 - 2385
Hauptverfasser:	Zhu, Jianquan, Wang, Chenxi, Guo, Ye, Luo, Tianyun, Mo, Xiemin, Xia, Yunrui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 05.10.2020
Schlagworte:	approximate dynamic programming algorithm approximate dynamic programming‐based centralised robust MA‐ED problem decentralised control decision making dispatch independence dispatches dynamic programming dynamic programming problem fully decentralised decision‐making fully decentralised robust optimisation multiarea economic dispatch neighbouring areas optimisation power generation dispatch power generation economics Research Article robust optimisation approach wind power uncertainty wind power uncertainty neighbouring areas fully decentralised robust optimisation centralised robust MA-ED problem dynamic programming problem dynamic programming decentralised control approximate dynamic programming-based power generation dispatch power generation economics optimisation robust optimisation approach dispatches fully decentralised decision-making approximate dynamic programming algorithm multiarea economic dispatch decision making dispatch independence
ISSN:	1752-1416, 1752-1424
Online-Zugang:	Volltext
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