Multi-objective Economic Dispatch of Power System with Wind Farms Considering Flexible Load Response

被引:0
|
作者
机构
[1] Zhang, Xiaohui
[2] Jiang, Jing
[3] Li, Maolin
[4] Yan, Keke
[5] Zhong, Jiaqing
来源
Jiang, Jing (582647251@qq.com) | 2017年 / Automation of Electric Power Systems Press卷 / 41期
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
Stochastic systems - Equivalence classes - Wind farm - Carbon - Electric power system interconnection - Electric utilities - Biochemistry - Costs - Electric load dispatching;
D O I
10.7500/AEPS20160916001
中图分类号
学科分类号
摘要
The uncertainty of wind farm power and load has a certain impact on the economic dispatch of power system. This paper deals with the forecasting errors of wind farm power and load based on the fuzzy stochastic theory. The fuzzy chance condition for spinning reserve has been established and transformed into a clear equivalence class. In the carbon trading mechanism, considering the effect of flexible load response on the power system economic dispatch, the nonlinear cost and carbon emission compensation cost of flexible load response are introduced to the objective function. A multi-objective model with the largest carbon trading revenue and the lowest integrated power generation cost has been developed. Meanwhile the flexible load constraint is added in the model. The discrete bacterial colony chemotaxis algorithm is used to deal with the model, and the optimal solution of the model has been obtained by the compromise strategy based on partial small satisfaction. Finally, the feasibility of the proposed model is verified through the comparison between four scheduling models. © 2017 Automation of Electric Power Systems Press.
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