A Chance-constrained Optimization Model for Determining Renewables Penetration Limit in Power Systems

作     者：Xiang, Yue Liu, Youbo Liu, Junyong Yang, Wei 

作者机构：Sichuan Univ Sch Elect Engn & Informat 24 South Sect 1Yihuan Rd Chengdu 610065 Peoples R China 

出 版 物：《ELECTRIC POWER COMPONENTS AND SYSTEMS》 (Electr. Power Comp. Syst.)

年 卷 期：2016年第44卷第7期

页      面：701-712页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

主　　题：renewable generation penetration limit chance-constrained programming transient stability constraint optimization 

摘      要：In this article, an optimization model determining renewables penetration limit in power systems is presented. The penetration limit is defined as the enabling renewables output with quantified maximum capacity avoiding the violation of power system operation constraints. Thus, an optimal power flow (OPF)-based model with chance constraints is built and a framework including a Monte Carlo-based genetic algorithm is designed. Moreover, a transient stability verification and correction strategy based on trajectory sensitivity is proposed and modularized in the extended framework. The feasibility of the proposed methodology is verified using several test scenarios, and some related factors are investigated as well. The results indicate that renewables penetration limit can be increased by improving those studied factors.