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An economic and low-carbon day-ahead Pareto-optimal scheduling for wind farm integrated power systems with demand response

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成果类型:
期刊论文
作者:
Ma, Rui*;Li, Kai;Li, Xuan;Qin, Zeyu
通讯作者:
Ma, Rui
作者机构:
[Li, Kai; Li, Xuan; Qin, Zeyu; Ma, Rui] Changsha Univ Sci & Technol, Hunan Key Lab Smart Grids Operat & Control, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Ma, Rui] C
Changsha Univ Sci & Technol, Hunan Key Lab Smart Grids Operat & Control, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Low-carbon electricity;Unit commitment (UC);Day-ahead scheduling;Multi-objective optimization;Demand response (DR);Non-dominated sorting genetic algorithm-II (NSGA-II) algorithm
期刊:
现代电力系统与清洁能源学报
ISSN:
2196-5625
年:
2015
卷:
3
期:
3
页码:
393-401
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51277015]
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
Demand response (DR) and wind power are beneficial to low-carbon electricity to deal with energy and environmental problems. However, the uncertain wind power generation (WG) which has anti-peaking characteristic would be hard to exert its ability in carbon reduction. This paper introduces DR into traditional unit commitment (UC) strategy and proposes a multi-objective day-ahead optimal scheduling model for wind farm integrated power systems, since incentive-based DR can accommodate excess wind power and can be used as a source of system spinning reserve to alleviate generation side reserve pr...

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