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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
Optimal allocation of hydropower and hybrid electricity injected from inter-regional transmission lines among multiple receiving-end power grids in China
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论文类型：期刊论文
第一作者：Feng, Zhong-kai
通讯作者：Feng, ZK (reprint author), Huazhang Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China.
合写作者：Niu, Wen-jing,Cheng, Chun-tian
发表时间：2018-11-01
发表刊物：ENERGY
收录刊物：SCIE
卷号：162
页面范围：444-452
ISSN号：0360-5442
关键字：Peak shaving operation; Inter-regional transmission electricity; Mixed integer linear programming; Multiple receiving-end power grids; Optimal generation allocation; Hydropower and hybrid electricity
摘要：In China, due to the unbalanced distribution of energy center and load center, numerous transmission projects are built to improve the national energy allocation efficiency and the external electricity is playing an increasing important role in the daily operation of receiving-end grids. The current fixed proportion method for energy allocation is relatively simple and easy to implement, but may produce unreasonable energy injection with the features of a straight line or "anti-peak regulation" in some cases, increasing the peak operation pressure of power systems. Thus, it is of great necessity to further improve the allocation scheme of inter-regional transmitted electricity among receiving-end power grids. As a new contribution to the research field, this paper develops a mixed integer linear programming model with the goal of minimizing the weighted peak-valley difference of multiple remaining load curves to address this problem. The presented model is applied to the East China Power Grid, and the results show that the presented model can obtain satisfying results in reducing the peak loads of multiple power grids. For instance, in the long-term simulations, the presented model can make about 23.7%, 5.9%, 5.7% and 8.3% reductions in the maximum loads of Shanghai, Jiangsu, Zhejiang and Anhui, respectively. Then, it can be concluded that optimizing the allocation of inter-regional transmitted electricity will be a viable way to reduce the peak operation pressure of multiple receiving-end power grids in China. (C) 2018 Elsevier Ltd. All rights reserved.