| 引用本文: | 杨景旭,周来,张勇军,黄春艳,范苏纯.“专变共享”模式下考虑时变电价和转移概率的EV有序充电[J].电力自动化设备,2020,40(10): |
| YANG Jingxu,ZHOU Lai,ZHANG Yongjun,HUANG Chunyan,FAN Suchun.Ordered charging of EVs considering time-varying electricity price and transition probability under “dedicated transformer sharing” mode[J].Electric Power Automation Equipment,2020,40(10): |
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| 摘要: |
| 针对城市楼宇停车场难以新建变压器供电的问题，提出了利用原有专变冗余容量消纳电动汽车(EV)负荷的“专变共享”模式，建立了分别由专变用户、充电站运营商和EV用户主导的3层有序充电调节模型；建立了充电体验指数、专变租费、运行商盈利额和专变利用指数等评估指标描述各方的需求，以此建立了有序充电的综合目标；建立考虑时变电价和EV用户充电时段转移概率的有序充电优化模型，并提出了基于粒子群优化算法的有序充电优化方法。通过算例仿真分析了基于时变电价的3层有序充电调节模型的优化效果，验证了考虑EV出行需求和电量约束的合理性，并研究了楼宇负荷类型对有序充电的影响。 |
| 关键词: 电动汽车 专变共享 有序充电 转移概率 时变电价 粒子群优化算法 模型 |
| DOI：10.16081/j.epae.202008011 |
| 分类号:U469.72 |
| 基金项目:国家自然科学基金资助项目(51777077) |
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| Ordered charging of EVs considering time-varying electricity price and transition probability under “dedicated transformer sharing” mode |
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YANG Jingxu1, ZHOU Lai1, ZHANG Yongjun1, HUANG Chunyan2, FAN Suchun1
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1.Research Center of Smart Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China;2.Guangzhou Power Electrical Technology Co.,Ltd.,Guangzhou 510000, China
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| Abstract: |
| In order to solve the problem that it is difficult to build new transformers to supply power in the parking lot of urban buildings, the “dedicated transformer sharing” mode is proposed, which utilizes the redundant capacity of original dedicated transformers to absorb the EV(Electric Vehicle) load. A three-layer ordered charging adjustment model dominated respectively by dedicated transformer users, charging station operators and EV users is established. The comprehensive objective of ordered charging is set up by establishing the assessment indexes, such as charging experience index, capacity rent charge of dedicated transformer, charging station operators’ profit, utilization index of dedicated transformer, and so on, which can describe the needs of all parties. An ordered charging optimization model considering time-varying electricity price and the transition probability of EV users’ charging period is built, and an ordered charging optimization method based on the particle swarm optimization algorithm is proposed. The optimization effect of the three-layer ordered charging adjustment model based on time-varying electricity price is analyzed by simulation. The rationality of considering EV travel demand and electricity constraint is verified, and the influence of the types of building load on ordered charging is studied. |
| Key words: electric vehicles dedicated transformer sharing ordered charging transition probability time-varying electricity price particle swarm optimization algorithm models |
