Reliability Calculation Method for Island Microgrid Considering Electric Vehicle Charging Demand

Haifeng LIANG; Ziyang LI; Jie GUO

doi:10.12204/j.issn.1000-7229.2020.11.005

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Electric Power Construction ›› 2020, Vol. 41 ›› Issue (11) : 49-59. DOI: 10.12204/j.issn.1000-7229.2020.11.005

Key Technologies of Electric Vehicle Participating in Power Grid Dispatching·Hosed by Associate Professor FU Zhixin·

Reliability Calculation Method for Island Microgrid Considering Electric Vehicle Charging Demand

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Abstract

The microgrids on independent islands mostly operate in island mode due to the long distance to the mainland, and the power supply and demand keep balanced inside the microgrid. At the same time, the charging load of electric vehicles (EVs) has affected the reliable operation of the island microgrid. A method for calculating the reliability of island microgrid that takes into account the EV charging demand is proposed. Firstly, an EV charging load model based on trip chain theory is established by simulating the travel behavior of users; taking into account the characteristics of wind power and energy storage, a microgrid operation strategy and a load reduction strategy are proposed. Then, taking the charging demand of electric vehicles into account, new indexes such as the Annual Average Charge Interruptions and the Average Service Availability Index are proposed, which constructed a reliability evaluation system for microgrids different from that for the traditional distribution network. Finally, the method proposed is tested by the improved RBTS Bus 6 feeder F4 system, which shows that the microgrid operation strategy and electric vehicles charging demand have a significant impact on the island microgrid reliability, which proves the effectiveness of the method.

Key words

electric vehicle / island microgrid / load reduction / power supply reliability / Monte Carlo

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Haifeng LIANG , Ziyang LI , Jie GUO. Reliability Calculation Method for Island Microgrid Considering Electric Vehicle Charging Demand[J]. Electric Power Construction. 2020, 41(11): 49-59 https://doi.org/10.12204/j.issn.1000-7229.2020.11.005

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