Optimal Operation of Micro Grid Account of the Response of Electric Vehicle User

LIU Yanbo; QIU Xiaoyan; QIU Gao

doi:10.13296/j.1001-1609.hva.2016.04.026

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Optimal Operation of Micro Grid Account of the Response of Electric Vehicle User

更新时间：2025-04-26

- Optimal Operation of Micro Grid Account of the Response of Electric Vehicle User
- High VoltageApparatus Vol. 52, Issue 4, Pages: 163-169+175(2016)
- 作者机构：
  
  四川大学电气信息学院智能电网四川省重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2016.04.026
  CLC： TM732;U469.72
- Published：2016
- 稿件说明：
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[1]刘延博,邱晓燕,邱高.考虑电动汽车用户响应的微电网运行优化[J].高压电器,2016,52(04):163-169+175.

LIU Yanbo, QIU Xiaoyan, QIU Gao. Optimal Operation of Micro Grid Account of the Response of Electric Vehicle User[J]. High voltageapparatus, 2016, 52(4): 163-169+175.
[1]刘延博,邱晓燕,邱高.考虑电动汽车用户响应的微电网运行优化[J].高压电器,2016,52(04):163-169+175. DOI： 10.13296/j.1001-1609.hva.2016.04.026.

LIU Yanbo, QIU Xiaoyan, QIU Gao. Optimal Operation of Micro Grid Account of the Response of Electric Vehicle User[J]. High voltageapparatus, 2016, 52(4): 163-169+175. DOI： 10.13296/j.1001-1609.hva.2016.04.026.

摘要

文中针对大规模电动汽车（EVs）接入微电网的分布式能源（DER）出力优化进行了研究。在（EVs）无序充电模型的基础上

提出了基于峰谷负荷的分段电价模型

考虑行驶需求时间共同影响

建立了EVs接入微电网的完全响应行为模型。对负荷进行分类建模

提出基于响应权重的常规负荷电价响应模型

并建立了基于经济成本权重的综合效益优化模型。在典型微电网中

通过改进遗传算法

在不同调度控制策略下计算得到系统的优化出力结果。通过对比不同模型下的出力结果

验证所提模型的正确性和有效性。

Abstract

The paper has studied on the optimal power flow of Distributed Energy Resource（DER）in the micro grid which is connected with amounts of Electric Vehicles（EVs）. On the basis of Electric Vehicles’ disordered charging model

the paper proposes a divided electricity prices model based on peak-valley load. Taking into account of the combined effect of time-travel demand

a fully responsive behavior model of EVs into micro grid is established.Classifying the load model

the electricity prices of normal load is proposed based on the response weight. Then a composite model is built on the basis of economic cost weight. In a typical micro grid

using improved genetic algorithm

the optimal power under different scheduling control methods is calculated. By comparing the results of different model outputs

the correctness and validity of the proposed model is verified.

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