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

页码：621 / 626

页数：6

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