Two-stage Combinatory Planning Method for Efficient Wind Power Integration in Smart Distribution Systems Considering Uncertainties

作     者：Zeng, Bo Zhang, Jianhua Ouyang, Shaojie Yang, Xu Dong, Jun Zeng, Ming 

作者机构：North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China North China Elect Power Univ Econ & Management Sch Beijing 102206 Peoples R China 

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

年 卷 期：2014年第42卷第15期

页      面：1661-1672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：price-responsive demand distributed wind generation combinatory planning smart grid uncertainties chance-constrained programming 

摘      要：-A crucial factor that may hinder the usage of renewable energies is the mismatch to load demand in the temporal dimension. In the smart-grid environment, demand response is regarded as a feasible solution to mitigate such a problem. In this study, a combinatory planning method is proposed for efficient integration of wind generation. The problem is formulated as a two-stage fuzzy chance-constrained programming model, which co-optimizes the installation of distributed wind generation along with network transformation and determination of optimal real-time prices to achieve the minimization of the total cost over planning horizons. The impact of both aleatory and epistemic uncertainties associated with wind generation, load growth, and responsive behaviors of customers has been considered. Results of the case study demonstrate the effectiveness of the proposed method and the necessity of considering different uncertainties in the planning.