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考虑需求方响应资源的智能输电网扩展规划
引用本文:田建伟,胡兆光,周景宏,肖潇,吴俊勇.考虑需求方响应资源的智能输电网扩展规划[J].电力系统自动化,2012,36(10):45-50.
作者姓名:田建伟  胡兆光  周景宏  肖潇  吴俊勇
作者单位:1. 北京交通大学电气工程学院,北京市,100044
2. 北京交通大学电气工程学院,北京市100044/国网能源研究院,北京市100052
3. 华北电力大学经济与管理学院,北京市,102206
基金项目:美国能源基金会资助项目(G-0601-08211)
摘    要:以智能工程理论和不确定理论机会测度为基础,扩充了智能工程优化理论,提出了智能工程优化协调算子、机会路径和αβ—机会解。将风电出力视为随机变量、将需求方响应资源视为模糊变量,对智能输电网规划问题进行智能工程混合模型建模,并采用分层协调机制求解,通过各参与方的交互协调得到满足各方目标的智能工程机会解。利用IEEE 30节点系统算例对所提方法进行验证,结果表明,分层协调求解算法可有效处理电网规划中面临的多重不确定性,考虑需求方响应资源的电网规划统筹考虑了各方利益,规划效果更优。

关 键 词:需求响应  智能电网  输电网规划  智能工程  混合模型  分层协调
收稿时间:3/22/2011 3:47:49 PM
修稿时间:4/26/2012 1:14:11 PM

Smart Transmission Grid Expansion Planning Considering Demand Response Resource
TIAN Jianwei,HU Zhaoguang,ZHOU Jinghong,XIAO Xiao,WU Junyong.Smart Transmission Grid Expansion Planning Considering Demand Response Resource[J].Automation of Electric Power Systems,2012,36(10):45-50.
Authors:TIAN Jianwei  HU Zhaoguang  ZHOU Jinghong  XIAO Xiao  WU Junyong
Affiliation:1(1.School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China; 2.State Grid Energy Research Institute,Beijing 100052,China; 3.School of Business Administration,North China Electric Power University,Beijing 102206,China)
Abstract:The intelligent engineering(IE) optimization theory is extended and optimal coordination operators,chance path,αβ-chance solution are proposed by means of the IE theory and the chance measure of the uncertainty theory.Taking wind power output as a random variable and demand response resource as a fuzzy variable,smart transmission grid planning is modeled by using the IE hybrid model and is solved with the hierarchical coordination mechanism.Then the chance solution can be obtained through coordination between participators.To assess the validity of the approach proposed,tests are performed on a modified IEEE 30-bus system.The results show that the hierarchical coordination algorithm can effectively address multi-uncertainties in grid planning.Transmission grid planning that takes into account the demand response resource has given an overall consideration of all the interests involved besides being better in performance. This work is supported by Energy Foundation of U.S.(No.G-0601-08211).
Keywords:demand response  smart grid  transmission grid planning  intelligent engineering  hybrid model  hierarchical coordination
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