Optimal Scheduling Strategy of Regional Power System Dominated by Renewable Energy Considering Physical and Virtual Shared Energy Storage

Author:

Chai Zhe1,Liu Junhui1,Zhang Yihan1,Chen Yuge2,Zhang Kunming3,Liu Chang3,Yang Meng1,Yin Shuo1,Qiu Weiqiang3,Lin Zhenzhi3,Yang Li3

Affiliation:

1. Economic and Technical Research Institute of State Grid Henan Province Electric Power Company, Zhengzhou 450002, China

2. Polytechnic Institute, Zhejiang University, Hangzhou 310015, China

3. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Abstract

In view of the current situation of the global energy crisis and environmental pollution, the energy industry transition and environmental governance are urgently needed. To deal with the problem above, the construction of a power system dominated by renewable energy (PSDRE) with wind turbine (WT), photovoltaic (PV), biomass power (BP), and other clean, low-carbon, renewable energy sources as the principal part has become a consensus all over the world. However, the random and uncertain power output of renewable energy will not only put pressure on the power system but also lead to the unreasonable and insufficient usage of renewable energy. In this context, the energy storage (ES) effects of flexible resources, such as physical energy storage of batteries and demand response (DR), are analyzed first. Next, a modeling method for the operational characteristics of physical and virtual shared energy storage (PVSES) in regional PSDRE (RPSDRE) is proposed. Finally, an optimal scheduling strategy for RPSDRE that considers PVSES is proposed to achieve coordination of WT, PV, PVSES, and other flexible resources. The case study on RPSDRE in Lankao county, Kaifeng city, Henan province of China verifies the effectiveness and practicability of the proposed strategy.

Funder

Science and Technology Project of State Grid Henan Electric Power Co., Ltd

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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