Research on Regulatory Strategies for Microgrids with Wind and Solar Energy Storage in the Electricity Spot Market

Microgrids have the characteristics of flexible regulation and independent operation from the main grid. As the proportion of renewable energy consumption increases, the operating cost of microgrids will also increase, and the stability of operation will also decrease. In order to control the operation cost of the microgrid and enhance the consumption of wind power and photovoltaic, a microgrid day ahead regulation strategy considering wind and solar energy storage and an optimization model for renewable energy consumption is proposed. By writing a simulation program and using an improved particle swarm algorithm with a penalty term to solve the optimization model, the simulation results show that the operating costs of microgrids are reduced by allowing wind and solar power to be abandoned and energy storage to participate. Pursuing renewable energy consumption rates blindly will actually increase costs.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914139
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Regulatory Strategies for Microgrids with Wind and Solar Energy Storage in the Electricity Spot Market

Zhuoran Wang, Gang Xu, Xiaoming Wang, Wenguang Zhao
Power Systems and Renewable Energy
article

Research on Regulatory Strategies for Microgrids with Wind and Solar Energy Storage in the Electricity Spot Market

Zhuoran Wang, Gang Xu, Xiaoming Wang, Wenguang Zhao
article en

Abstract

Microgrids have the characteristics of flexible regulation and independent operation from the main grid. As the proportion of renewable energy consumption increases, the operating cost of microgrids will also increase, and the stability of operation will also decrease. In order to control the operation cost of the microgrid and enhance the consumption of wind power and photovoltaic, a microgrid day ahead regulation strategy considering wind and solar energy storage and an optimization model for renewable energy consumption is proposed. By writing a simulation program and using an improved particle swarm algorithm with a penalty term to solve the optimization model, the simulation results show that the operating costs of microgrids are reduced by allowing wind and solar power to be abandoned and energy storage to participate. Pursuing renewable energy consumption rates blindly will actually increase costs.

North China Electric Power University (CN)
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 67%
Power Systems and Renewable Energy
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Research on Regulatory Strategies for Microgrids with Wind and Solar Energy Storage in the Electricity Spot Market — Zhuoran Wang, Gang Xu, et al. · (2024) | TGRS Research Map | TGRS