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华南理工大学电力学院,广东省广州市 510640
Received:02 June 2021,
Revised:2021-08-19,
Published Online:11 October 2021,
Published:25 March 2022
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姚蓝霓,李钦豪,杨景旭等.考虑电动汽车充放电支撑的配用电系统综合无功优化[J].电力系统自动化,2022,46(6):39-47.
YAO Lanni,LI Qinhao,YANG Jingxu,et al.Comprehensive Reactive Power Optimization of Power Distribution and Consumption System with Support of Electric Vehicle Charging and Discharging[J].Automation of Electric Power Systems,2022,46(6):39-47.
姚蓝霓,李钦豪,杨景旭等.考虑电动汽车充放电支撑的配用电系统综合无功优化[J].电力系统自动化,2022,46(6):39-47. DOI: 10.7500/AEPS20210602003.
YAO Lanni,LI Qinhao,YANG Jingxu,et al.Comprehensive Reactive Power Optimization of Power Distribution and Consumption System with Support of Electric Vehicle Charging and Discharging[J].Automation of Electric Power Systems,2022,46(6):39-47. DOI: 10.7500/AEPS20210602003.
电动汽车充放电对配电网具有重要的无功支撑能力,为此提出一种考虑电动汽车充放电的无功优化方法。首先,分析充电机无功调节原理,建立充电机状态约束模型,通过修正充电机状态来满足电池容量和用户目标电量对功率因数角的约束;其次,提出用户无功优化补贴的量化方法,分别建立网侧和用户侧需求指标,综合双方利益提出配用电系统综合无功优化目标函数;然后,以双向充电机的功率因数角作为优化变量,基于粒子群优化算法提出充电机功率因数角优化方法,从而建立计及有序充放电的无功优化模型,以实现配电网和电动汽车用户之间的有功和无功功率调控;最后,通过仿真验证了所提方法不仅可以改善电压曲线、降低网损率,还能在大幅降低用户支出的同时满足用户的临时出行需求。
The charging and discharging of electric vehicles have important reactive power support capabilities for the distribution network. Therefore
a reactive power optimization method considering electric vehicle charging and discharging is proposed. Firstly
the reactive power regulation principle of the charger is analyzed
and a charger state constraint model is established. The constraints of the battery capacity and the users' target power on the power factor angle are satisfied by modifying the state of the charger. Secondly
the quantitative method of reactive power optimization subsidy for users is proposed
the demand indicators on the network side and user side are established respectively
and the objective function of the comprehensive reactive power optimization of the power distribution and consumption system is proposed based on the interests of both parties. Thirdly
the power factor angle of bidirectional charger is used as the optimization variable
and the power factor angle optimization method of charger is proposed based on the particle swarm optimization algorithm. Thus
the reactive power optimization model considering orderly charging and discharging is established to realize the active and reactive power regulation between distribution network and electric vehicle users. Finally
it is verified through simulation that the proposed method can not only improve the voltage curve and reduce the network loss rate
but also significantly reduce user expenditures
while meeting the temporary travel needs of users.
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