Optimal Scheduling Strategy of Microgrid Based on Reactive Power Compensation of Electric Vehicles

Yixiao Fang, Junjie Yang () and Wei Jiang
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Yixiao Fang: College of Electronics and Information Engineering, Shanghai University of Electric Power, No. 185 Hucheng Ring Road, Shanghai 201306, China
Junjie Yang: School of Electronic Information Engineering, Shanghai Dianji University, No. 300 Shuihua Road, Shanghai 201306, China
Wei Jiang: College of Electronics and Information Engineering, Shanghai University of Electric Power, No. 185 Hucheng Ring Road, Shanghai 201306, China

Energies, 2023, vol. 16, issue 22, 1-23

Abstract: This paper proposes a microgrid optimal scheduling strategy based on the reactive power compensation of electric vehicles to address the issue of interactive fluctuation of voltage and power resulting from a high proportion of new energy integration into the grid. Firstly, for accurate prediction of electric vehicle charging and discharging behavior, the Monte Carlo simulation method was employed for day-ahead prediction. Secondly, an optimization method for reactive power compensation was developed, considering distributed sources such as wind turbines, photovoltaics, and electric vehicles, with the objective of minimizing network loss and power generation costs. Additionally, user-side prices and electric vehicle charging prices were taken into consideration. Finally, utilizing the IEEE14 bus simulation, a comparison was made between the microgrid with and without electric vehicle reactive support capacity. Results demonstrated that, while maintaining a power factor greater than 0.95, the proposed method reduced the average daily generation cost by 0.35%, average daily network loss by 7.0%, average daily bus voltage fluctuation by 48.60%, average electricity price by 2.88%, and EV user charging cost by 21.29%. These findings illustrate that the proposed reactive power compensation optimization method effectively mitigates voltage and power fluctuations resulting from new energy integration, ensuring system safety, reliability, and economic efficiency.

Keywords: scheduling strategy; reactive power compensation; interactive fluctuation; electric vehicles; safety; reliability; economic efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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