考虑电动汽车虚拟电厂灵活性和高比例光伏接入的配电网规划

doi:10.12204/j.issn.1000-7229.2022.11.002

电力建设 ›› 2022, Vol. 43 ›› Issue (11): 14-23.doi: 10.12204/j.issn.1000-7229.2022.11.002

• 双碳驱动下配电网与新型负荷互动关键技术·栏目主持穆云飞教授、宋毅教授级高工· • 上一篇下一篇

考虑电动汽车虚拟电厂灵活性和高比例光伏接入的配电网规划

严欢¹(), 胡俊杰²(), 黄旦莉³(), 张展宇²(), 岳园园¹()

1.国网陕西省电力有限公司经济技术研究院,西安市 710065
2.新能源电力系统国家重点实验室(华北电力大学),北京市 102206
3.国网湖北省电力有限公司孝感供电公司,湖北省孝感市 432000

收稿日期:2022-05-23 出版日期:2022-11-01 发布日期:2022-11-03
通讯作者: 胡俊杰 E-mail:76946074@qq.com;junjiehu@ncepu.edu.cn;danlihuang@163.com;1946161842@qq.com;yueyuanyuan0913@163.com
作者简介:严欢(1988),女,硕士,高级工程师,主要研究方向为电网规划,E-mail: 76946074@qq.com;
黄旦莉(1980),女,本科,高级工程师,主要研究方向为电网规划,E-mail: danlihuang@163.com;
张展宇(1998),男,硕士研究生,主要研究方向为电网规划,E-mail: 1946161842@qq.com;
岳园园(1992),女,硕士,工程师,主要研究方向为电网规划,E-mail: yueyuanyuan0913@163.com。
基金资助:
国家电网有限公司科技项目(SGSNJY00GPJS2100038);国家自然科学基金面上项目(51877078)

Distribution Network Planning Considering the Flexibility of EV Virtual Power Plants and High Penetration of PV

YAN Huan¹(), HU Junjie²(), HUANG Danli³(), ZHANG Zhanyu²(), YUE Yuanyuan¹()

1. Economic and Technology Research Institute of State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710065, China
2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
3. Xiaogan Power Supply Company of State Grid Hubei Electric Power Co., Ltd., Xiaogan 432000, Hubei Province, China

Received:2022-05-23 Online:2022-11-01 Published:2022-11-03
Contact: HU Junjie E-mail:76946074@qq.com;junjiehu@ncepu.edu.cn;danlihuang@163.com;1946161842@qq.com;yueyuanyuan0913@163.com
Supported by:
state Grid Corporation of China Research Program(SGSNJY00GPJS2100038);National Natural Science Foundation of China(51877078)

摘要/Abstract

摘要：

以包含高比例光伏和规模化电动汽车(electric vehicle,EV)的配电网规划为研究对象,首先对电动汽车虚拟电厂进行灵活性量化,然后建立了综合考虑电动汽车虚拟电厂灵活性与高比例光伏接入的配电网规划模型。模型以配电网线路年综合投资成本最小为目标,同时兼顾新能源消纳、储能系统投资成本和电动汽车虚拟电厂灵活性补偿成本,以期在提升配电网规划经济性的同时实现电力系统“削峰填谷”,并提高光伏出力消纳率。最后以IEEE RTS-24节点配电网系统为例进行仿真验证,算例表明,所提规划模型利用储能系统和电动汽车灵活性降低了系统的规划运行成本,并提高了配电网内部光伏电站的消纳率,能够对未来包含高比例可再生能源和虚拟电厂灵活性资源的电力系统规划提供借鉴和参考。

关键词: 配电网规划, 虚拟电厂, 电动汽车, 新能源消纳

Abstract:

This paper studies the distribution network planning problem which considers high proportion of photovoltaic power and large-scale electric vehicles (EVs). Firstly, the paper quantifies the flexibility of the EV virtual power plant, and then establishes a distribution network planning model that comprehensively considers the flexibility of the EV virtual power plant and the high proportion of photovoltaic access. The model aims to minimize the annual investment cost of distribution network lines, while taking into account renewable energy consumption, investment costs of energy storage system and flexibility compensation costs of EV virtual power plant, in order to improve the economy of distribution network planning and realize peak shaving and valley filling of power system and improve the photovoltaic output consumption rate. Finally, the IEEE 24-node distribution network system is taken as an example for simulation verification. The example shows that the planning model proposed in this paper uses the flexibility of the energy storage system and electric vehicles to reduce the planning and operation cost of the system and improves the consumption rate of the photovoltaic power station in the distribution network. The model can provide reference for future power system planning including high penetration of renewable energy and virtual power plant flexibility resources.

Key words: distribution network planning, virtual power plant, electric vehicle, new energy consumption

中图分类号:

TM715

严欢, 胡俊杰, 黄旦莉, 张展宇, 岳园园. 考虑电动汽车虚拟电厂灵活性和高比例光伏接入的配电网规划[J]. 电力建设, 2022, 43(11): 14-23.

YAN Huan, HU Junjie, HUANG Danli, ZHANG Zhanyu, YUE Yuanyuan. Distribution Network Planning Considering the Flexibility of EV Virtual Power Plants and High Penetration of PV[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 14-23.

图/表 13

图1 配电网规划框架

Fig.1 Framework for distribution network planning

图2 单位EV的电量可行域

Fig.2 Electrical scope of unit EV

图3 电动汽车的备用能力

Fig.3 Backup capacity of EV

图4 10 000辆电动汽车时序负载功率及上下可调功率曲线

Fig.4 Timing load power and adjustable power curves of 10 000 electric vehicles

图5 光伏时序有功出力曲线

Fig.5 Sequential active power curves of PV

图6 负荷时序负载率曲线

Fig.6 Sequential load rate curves of load

表1 储能系统成本参数

Table 1 The cost parameters of the energy storage system

表2 电动汽车虚拟电厂灵活性资源补偿电价

Table 2 Compensation electricity price of EV virtual power plants’ flexible resources

表3 线路规划结果

Table 3 Route planning results

表4 Planning cost of distribution network 万元

Table 4

图7 配电网规划成本对比

Fig.7 Comparison of planning costs for distribution network

图8 第3节点典型日1、2光伏出力对比

Fig.8 PV power output at Node 3 comparison between the 1st and 2nd typical day

图9 第3节点典型日3、4光伏出力对比

Fig.9 PV power output at Node 3 comparison between the 3rd and 4th typical day

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考虑电动汽车虚拟电厂灵活性和高比例光伏接入的配电网规划

Distribution Network Planning Considering the Flexibility of EV Virtual Power Plants and High Penetration of PV

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