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
联系方式:wuxinyu@dlut.edu.cn
电子邮箱:wuxinyu@dlut.edu.cn
An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids
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论文类型:期刊论文
发表时间:2018-11-15
发表刊物:ENERGY
收录刊物:SCIE
卷号:163
页面范围:722-733
ISSN号:0360-5442
关键字:Peak shaving; Pumped-storage hydropower plant; Mixed-integer linear programming; Multiple power grids
摘要:China's power grids have constructed many large pumped-storage hydropower plants (PSHPs) to relieve their increasing peak shaving pressure. Unlike PSHPs in a single power grid, the PSHPs directly operated by the dispatch center of regional power grids are required to simultaneously provide peak regulation services for several subordinate provincial power grids. This makes the daily operation of these PSHPs very challenging for both system operators and researchers. Hence, this paper develops a Mixed-integer linear programming (MILP) based model for determining the optimal hourly scheduling of PSHPs serving several provincial power grids. The objective is to minimize the peak-valley difference of the residual load series of each power grid. The performance of individual units in the model will be considered, as well as the head effect for each unit in both generating mode and pumping mode. The study focuses mainly on the linearization of the commonly-used nonlinear objective function, constraints on the operation status of units, and turbine performance curves. These nonlinearities are then linearized with the aid of binary integer variables. The optimization results obtained from two real-world case studies are used to demonstrate that the proposed model is computationally efficient and shows good performance in relieving the peak regulation pressure of each power grid. (C) 2018 Elsevier Ltd. All rights reserved.