程春田

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:水文学及水资源. 水利水电工程. 电力系统及其自动化. 计算机应用技术

联系方式:ctcheng@dlut.edu.cn

电子邮箱:ctcheng@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Short-Term Scheduling for Large-Scale Cascaded Hydropower Systems with Multivibration Zones of High Head

点击次数:

论文类型:期刊论文

发表时间:2012-05-01

发表刊物:JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE

收录刊物:SCIE、Scopus

卷号:138

期号:3

页面范围:257-267

ISSN号:0733-9496

关键字:Multivibration zones; Short-term scheduling; Peak load regulation; Large-scale hydropower system

摘要:Construction of huge hydropower plants in the southern region of China has been rapidly increasing in recent years. These plants usually have multiple vibration zones of high head that have a great effect on short-term scheduling and real-time operations. This paper presents a novel approach for optimizing short-term scheduling of large-scale cascaded hydropower systems with multivibration zones of high head. For the purpose of cutting down peak loads, standard deviation minimization relevant to the remaining load series for thermal systems was chosen as the objective nonlinear function. Before the optimization, unit forbidden operation zones were identified by assembled mathematical techniques and hydro unit commitments were optimized using dynamic programming. The combined sets of forbidden operation zones and hydro unit commitments were repeatedly used during the search process. An optimization framework that combined the progressive optimality algorithm with a vibration zone avoidance strategy was finally presented to solve the short-term hydropower scheduling problem. The proposed methodology was applied to a case study in China and the results obtained indicate that it is able to not only handle complex constraints of multivibration zones, but also provide efficient and feasible solutions for short-term scheduling of large plants. DOI: 10.1061/(ASCE)WR.1943-5452.0000174. (C) 2012 American Society of Civil Engineers.