Research on Nodal Reliability Evaluation and Prioritization of Demand Response Programs in Wind Integrated Power System Considering Demand Response

被引：0

作者：

Zhang W. ^{[1
]}

Han X. ^{[1
]}

Jia Y. ^{[1
]}

Yuan T. ^{[1
]}

Chachar F.A. ^{[2
]}

机构：

[1] Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan, 030024, Shanxi Province

[2] Department of Electrical Engineering, Sukkur IBA University, Sukkur, IBA

来源：

Han, Xiaoqing (hanxiaoqing@tyut.edu.cn) | 2018年 / Power System Technology Press卷 / 42期

基金：

中国国家自然科学基金;

关键词：

Analytic hierarchy process; Demand response programs; Nodal reliability assessment; Prioritization; Wind power;

D O I：

10.13335/j.1000-3673.pst.2018.0720

中图分类号：

学科分类号：

摘要：

In order to enhance reliability and economy of wind integrated power system from nodal viewpoint, a method of nodal reliability evaluation and prioritization of demand response (DR) program portfolios in wind integrated power system considering demand response was presented. Firstly, a user demand response load model was established. Secondly, analytic hierarchy process was employed to construct hierarchical structure model of demand response portfolios. Furthermore, based on sequential Monte Carlo simulation method, a multi-segment optimal power flow approach was developed to evaluate effect of DR program portfolios on short-term reliability of wind integrated power system from global and nodal perspective. At length, effectiveness and rationality of the models and method were proved in modified IEEE-RTS79 test system. Results show that the DR programs can effectively improve system reliability and reduce cost. According to prioritization results of the demand response program portfolios, evaluation result of the node reliability evaluation method was more accurate than global method. It further indicatedsuperiority of the method of nodal evaluation and prioritization of DR programs to improve reliability and economy over the global method. © 2018, Power System Technology Press. All right reserved.

引用

页码：3660 / 3668

页数：8

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