Capacity optimization configuration of WT-PV-DE-BES independent microgrid with electric vehicles

郑 建; 赖欢欢; 郑 伟; 奚洪磊; 周震宇; 戚 峰; 俞 凯; 杨剑友

doi:10.3969/j.issn.1009-1831.2024.04.005

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Capacity optimization configuration of WT-PV-DE-BES independent microgrid with electric vehicles

更新时间：2026-03-05

- Capacity optimization configuration of WT-PV-DE-BES independent microgrid with electric vehicles
- Vol. 26, Issue 4, (2024)
- 作者机构：
  
  1. 国网温州供电公司电力调度控制中心,浙江,温州,325000
  2. 国网温州供电公司变电检修中心,浙江,温州,325000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.04.005
  CLC：
- Published：2024
- 稿件说明：
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郑建, 赖欢欢, 郑伟, et al. Capacity optimization configuration of WT-PV-DE-BES independent microgrid with electric vehicles[J]. 2024, 26(4).
DOI：

郑建, 赖欢欢, 郑伟, et al. Capacity optimization configuration of WT-PV-DE-BES independent microgrid with electric vehicles[J]. 2024, 26(4). DOI： 10.3969/j.issn.1009-1831.2024.04.005.

摘要

考虑电动汽车负荷的影响

提出了一种计及电动汽车的含风光柴储微电网容量优化配置方法。给出了微电网中负荷、风电、光伏系统、电池储能和柴油发电的建模方法

在考虑测试系统动态的情况下

以微电网系统总成本最小化为目标

采用灰狼算法对风机、光伏系统、电池储能和柴油发电机进行容量优化。以某实际17节点微电网为例进行仿真

仿真结果表明

微电网系统中的负荷尽可能通过分布式新能源来提供

有效减少了温室气体的排放

同时使微电网系统的总成本达到最小

系统按照所提方法优化设计

能够经济可靠地供应负荷。

Abstract

Considering the influence of electric vehicle load

a capacity optimization configuration method of micro-grid with WT-PV-DEBES considering electric vehicles is proposed. The modeling methods of load

wind power

photovoltaic system

battery energy storage anddiesel power generation in the microgrid are presented. Considering the dynamic characteristics of the test system

the Grey Wolf Optimiz?er is used to opti-mize the capacity of wind turbine

photovoltaic system

battery energy storage and diesel generator with the goal of mini?mizing the total cost of the micro grid system. Taking an actual 17 nodes microgrid as an example

the simulation results show that the loadin the microgrid system is provided by distributed new energy as far as possible

which effectively reduces greenhouse gas emissions

whileminimizing the total cost of the mi-crogrid system. The system can supply load economically and reliably according to the proposed method。

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