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考虑柔性负荷响应的含风电场电力系统多目标经济调度

张晓辉 江静 李茂林 闫柯柯 钟嘉庆

电力系统自动化2017,Vol.41Issue(11):61-67,7.
电力系统自动化2017,Vol.41Issue(11):61-67,7.

考虑柔性负荷响应的含风电场电力系统多目标经济调度

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

张晓辉 1江静 2李茂林 3闫柯柯 4钟嘉庆1

作者信息

  • 1. 河北省电力电子节能与传动控制重点实验室(燕山大学),河北省秦皇岛市 066004
  • 2. 河北康保广恒新能源有限公司(鲁能集团),河北省张家口市 075000
  • 3. 国网山东省电力公司邹平县供电公司,山东省滨州市 256200
  • 4. 国网邯郸供电公司,河北省邯郸市 056000
  • 折叠

摘要

Abstract

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.

关键词

柔性负荷/风电场/模糊随机理论/非线性成本/离散细菌群体趋药性算法

Key words

flexible load/wind farm/fuzzy random theory/nonlinear cost/discrete bacterial colony tropism algorithm

引用本文复制引用

张晓辉,江静,李茂林,闫柯柯,钟嘉庆..考虑柔性负荷响应的含风电场电力系统多目标经济调度[J].电力系统自动化,2017,41(11):61-67,7.

基金项目

国家自然科学基金资助项目(61374098) (61374098)

高等学校博士学科点专项科研基金资助项目(20131333110017) (20131333110017)

This work is supported by National Natural Science Foundation of China (No.61374098) and Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP) of China (No.20131333110017). (No.61374098)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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