含高渗透率光伏发电并网型微网中的电动汽车优化调度方法

YANG Xiaodong

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含高渗透率光伏发电并网型微网中的电动汽车优化调度方法

更新时间：2025-08-13

- 含高渗透率光伏发电并网型微网中的电动汽车优化调度方法
- Automation of Electric Power Systems Vol. 40, Issue 18, Pages: 15-23(2016)
- 作者机构：
  
  浙江工业大学信息工程学院,浙江省,杭州市,310023
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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YANG Xiaodong. [J]. Automation of electric power systems, 2016, 40(18): 15-23.
DOI：

YANG Xiaodong. [J]. Automation of electric power systems, 2016, 40(18): 15-23. DOI：

摘要

针对含高渗透率光伏发电的并网型微网

研究了电动汽车与大规模光伏发电协同增效利用的方法

提出一种以提升光伏发电利用率为目的的电动汽车优化调度模型。为避免依托于中央能量管理系统的集中优化

发展了关联电动汽车交互功率与系统负荷信息、光伏出力信息的虚拟费用理论

在此基础上构造了电动汽车集群的非合作充放电博弈模型

并推导出博弈模型纳什均衡与集中式优化模型最优解的一致性

从而以分散自治的方式规避了集中式优化的弊端。在某办公楼区域光储微网的算例分析中

以光伏发电利用率、等年值成本为微网运行性能评价指标

验证了所述电动汽车优化调度方法的合理性、有效性。

Abstract

A novel method is proposed for grid-connected microgrid system with high penetration photovoltaic(PV)power that integrates large scale PV power and electric vehicles(EVs)efficiently. An optimization model is proposed to increase the self-consumption of PV power by smart charging of EVs and vehicle-to-grid technology. Without relying on the optimization of central control

a virtual cost theory is developed combined with EVs charging

discharging power

the system load and PV power output. On this basis

a non-cooperative charging and discharging(NCD)game model for EVs is proposed

and the consistency between the Nash equilibrium of the proposed model and the centralized optimization solution is also obtained. Hence the centralized optimization with several disadvantages is replaced by a decentralized and autonomous one. Taking a workspace grid-connected PV-battery microgrid as example

the practicality and effectiveness of the proposed optimization model for EVs scheduling are proved by the improved utilization of PV power and equivalent annual cost. This work is supported by National Natural Science Foundation of China(No. 51407160)and Zhejiang Provincial Natural Science Foundation of China(No. LY16E070005).

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