Multi-objective Dynamic Optimal Power Flow of Wind Integrated Power Systems Considering Demand Response

被引：26

作者：

Ma, Rui ^{[1
]}

Li, Xuan ^{[1
]}

Luo, Yang ^{[1
]}

Wu, Xia ^{[1
]}

Jiang, Fei ^{[1
]}

机构：

[1] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Hunan, Peoples R China

来源：

CSEE JOURNAL OF POWER AND ENERGY SYSTEMS | 2019年 / 5卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Demand response; low-carbon electricity; multi-objective dynamic optimal power flow; NSGA-II; wind generation; GENERATION DISPATCH; EMISSION; COST;

D O I：

10.17775/CSEEJPES.2017.00280

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper studies the economic environmental energy-saving day-ahead scheduling problem of power systems considering wind generation (WG) and demand response (DR) by means of multi-objective dynamic optimal power flow (MDOPF). Within the model, fuel cost, carbon emission and active power losses are taken as objectives, and an integrated dispatch mode of conventional coal-fired generation, WG and DR is utilized. The corresponding solution process to the MDOPF is based on a hybrid of a non-dominated sorting genetic algorithm-II (NSGA-II) and fuzzy satisfaction-maximizing method, where NSGA-II obtains the Pareto frontier and the fuzzy satisfaction-maximizing method is the chosen strategy. Illustrative cases of different scenarios are performed based on an IEEE 6-units \ 30-nodes system, to verify the proposed model and the solution process, as well as the benefits obtained by the DR into power system.

引用

页码：466 / 473

页数：8

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