Open Access

ARTICLE

Research on Optimal Configuration of Energy Storage in Wind-Solar Microgrid Considering Real-Time Electricity Price

Zhenzhen Zhang^1,*, Qingquan Lv¹, Long Zhao¹, Qiang Zhou¹, Pengfei Gao¹, Yanqi Zhang¹, Yimin Li²

1 Electric Power Research Institute, State Grid Gansu Electric Power Company, Lanzhou, 730070, China
2 School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, 730000, China

* Corresponding Author: Zhenzhen Zhang. Email:

Energy Engineering 2023, 120(7), 1637-1654. https://doi.org/10.32604/ee.2023.026942

Received 05 October 2022; Accepted 16 December 2022; Issue published 04 May 2023

Abstract

Capacity allocation and energy management strategies for energy storage are critical to the safety and economical operation of microgrids. In this paper, an improved energy management strategy based on real-time electricity price combined with state of charge is proposed to optimize the economic operation of wind and solar microgrids, and the optimal allocation of energy storage capacity is carried out by using this strategy. Firstly, the structure and model of microgrid are analyzed, and the output model of wind power, photovoltaic and energy storage is established. Then, considering the interactive power cost between the microgrid and the main grid and the charge-discharge penalty cost of energy storage, an optimization objective function is established, and an improved energy management strategy is proposed on this basis. Finally, a physical model is built in MATLAB/Simulink for simulation verification, and the energy management strategy is compared and analyzed on sunny and rainy days. The initial configuration cost function of energy storage is added to optimize the allocation of energy storage capacity. The simulation results show that the improved energy management strategy can make the battery charge-discharge response to real-time electricity price and state of charge better than the traditional strategy on sunny or rainy days, reduce the interactive power cost between the microgrid system and the power grid. After analyzing the change of energy storage power with cost, we obtain the best energy storage capacity and energy storage power.

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Keywords

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