Optimal self-scheduling of hydro producer in the electricity market

作     者：Yuan, Xiaohui Wang, Yunyan Xie, Jun Qi, Xiwen Nie, Hao Su, Anjun 

作者机构：Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 430074 Peoples R China 

出 版 物：《ENERGY CONVERSION AND MANAGEMENT》 (能量转换与管理)

年 卷 期：2010年第51卷第12期

页      面：2523-2530页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China [40971018  50779020] 

主　　题：Cultural algorithm Sequential quadratic programming Optimal self-scheduling Hydro producer 

摘      要：This paper proposes an efficient method to solve the profit-based optimal self-scheduling of a hydroelectric company in the pool-based day-ahead electricity market by integrating cultural algorithm (CA) with feasible sequential quadratic programming (SQP). The proposed method is developed in such a way that CA is applied as a based level search, which can give a good direction to the optimal global region, and a local search SQP is used as a fine-tuning to determine the optimal solution at the final. Finally, optimal self-scheduling of hydro company with several cascaded hydro plants along a river basin is used to illustrate the effectiveness of the proposed method. Results from the proposed method are compared with those obtained by other optimization methods in terms of solution precision. It is shown that the proposed method is capable of yielding higher quality solutions. (C) 2010 Elsevier Ltd. All rights reserved.