Cooperative scheduling optimization model and simulation application for virtual power plant and efficiency power plant considering uncertainty and energy storage system

被引：0
|
作者：
Niu D. [1 ]
Zhao D. [1 ]
Yang S. [2 ]
Liu L. [3 ]
机构：
[1] School of Economics and Management, North China Electric Power University, Beijing
[2] Institute of Urban Energy Strategy and Planning, State Grid(Suzhou) Energy Research Institute, Suzhou
[3] Department of Research and Development, State Grid Energy Research Institute, Beijing
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2019年 / 50卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Double-layer model; Efficiency power plant; Uncertainty; Virtual power plant;
D O I：
10.11817/j.issn.1672-7207.2019.07.029
中图分类号：
学科分类号：
摘要：
In order to solve the problem of difficult distribution, control and management of distributed power sources, the basic concept of virtual power plants was introduced, and the optimization of system power generation scheduling with the participation of user-side energy efficiency power plants was considered. Firstly, the power output power models were constructed, including wind power output model, solar power output model and energy storage system output model. Then, a double-layer optimal scheduling model of virtual power plant and energy efficiency power plant was constructed. The upper model aimed at minimizing the power generation cost of the system with the participation of virtual power plant, and comprehensively considered the constraints of power supply and demand balance, power generation of thermal power units and the system backup. The lower-level model aimed at maximizing the benefits of the participation of energy-efficient power plants in dispatching, and analysed the optimal effects of energy-saving efficiency power plants (ESEPP) and demand response efficiency power plants (DREPP) on the operation of virtual power plants. Finally, three wind farms, two solar power stations and two gas turbine generator sets were selected to form the simulation system, and four simulation scenarios were set. The results show that the virtual power plant can significantly improve the ability of system to absorb stochastic power sources, the energy-efficient power plant can achieve peak cutting and valley filling of load curve, and the double-layer optimization model can achieve the optimal scheduling result with the lowest power generation cost and the largest gain. © 2019, Central South University Press. All right reserved.
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页码：1736 / 1743
页数：7
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