Generation and Load Integrated Optimal Scheduling Incorporating Distributed Energy Storage and Adjustable Load

被引：1
|
作者：
Xu, Tao [1 ]
Hou, Hui [1 ]
Zhang, Qingyong [1 ]
Wang, Jianjian [1 ]
Liu, Peng [1 ]
Tang, Aihong [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
来源：
2020 IEEE 18TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), VOL 1 | 2020年
关键词：
scheduling strategy; distributed energy storage; transferable load; interruptible load; electric vehicle; TRANSACTIVE CONTROL; OPTIMIZATION; ELECTRICITY; SYSTEM;
D O I：
10.1109/INDIN45582.2020.9442106
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The rapid development of renewable energy and adjustable load has brought challenges to the safety and economic operation of power system. In this paper, we propose a generation and load integrated optimal scheduling strategy. The power generation side considers the wind-photovoltaic hybrid power system with battery energy storage system. The user side considers electric vehicles and the adjustable load such as transferable load and interruptible load to participate in scheduling. A scheduling strategy model is established to optimize both the benefits of power generation side and the user side. The multi-objective particle swarm optimization algorithm is used to solve the model. Simulation results based on historical data of a particular region (105.0 degrees E, 35.4 degrees N) show the feasibility of the proposed optimal scheduling strategy.
引用
收藏
页码：621 / 626
页数：6
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