考虑EV储能特性的分布式多能互补系统设计与运行优化分析

doi:10.11930/j.issn.1004-9649.202412068

中国电力 ›› 2025, Vol. 58 ›› Issue (11): 164-174.DOI: 10.11930/j.issn.1004-9649.202412068

考虑EV储能特性的分布式多能互补系统设计与运行优化分析

王锦坤¹(), 薛娴¹(), 吴慧敏¹(), 秦科源²

1. 福建电力职业技术学院，福建泉州　362000
2. 北京科东电力控制系统有限责任公司，北京　100192

收稿日期:2024-12-20 修回日期:2025-06-27 发布日期:2025-12-01 出版日期:2025-11-28
作者简介:
王锦坤（1978），男，高级工程师，从事电力系统运行优化、电力系统继电保护技术研究，E-mail：13960166506@139.com
薛娴（1990），女，硕士，工程师，从事电力系统供用电优化技术研究，E-mail：234808928@qq.com
吴慧敏（1996），女，硕士，工程师，从事电力系统调控运行优化和电力系统继电保护技术研究，E-mail：543451648@qq.com
基金资助:
国网福建省电力有限公司科技项目（SGFJJP00BDXX2310105）。

Optimization Model of Distributed Multi Energy Fusion System Considering the Mobile Energy Storage Characteristics of Electric Vehicles

WANG Jinkun¹(), XUE Xian¹(), WU Huimin¹(), QIN Keyuan²

1. Fujian Electric Power Vocational and Technical College, Quanzhou 362000, China
2. Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China

Received:2024-12-20 Revised:2025-06-27 Online:2025-12-01 Published:2025-11-28
Supported by:
This work is supported by Science and Technology Project of State Grid Fujian Electric Power Co., Ltd. (No.SGFJJP00BDXX2310105).

摘要/Abstract

摘要：

电动汽车（electric vehicle，EV）为分布式多能互补系统（distributed multi-energy system，DMS）带来海量移动储能资源。考虑EV移动储能特性，以系统成本与碳排放为优化目标，构建了基于非支配排序遗传算法与混合整数线性规划融合的DMS优化模型，分析了EV储能特性对系统的影响。通过仿真算例验证了所提方法的有效性。结果表明：在系统设计时，考虑EV储能特性能够有效促进各主体相互协同，提升系统经济性。

关键词: 分布式多能互补系统, 电动汽车储能特性, 多目标优化

Abstract:

Electric vehicles (EVs) bring a large number of mobile energy storage resources to the distributed multi-energy complementary system (DMS). Considering mobile storage characteristics of EVs, an optimization model for DMS is constructed based on the fusion of non-dominated sorting genetic algorithm and mixed-integer linear programming with system cost and emission as the optimization objective, and the influence of EV storage characteristics on the system is analyzed. The effectiveness of the proposed method is verified by a simulation example. The results show that the storage characteristics of EVs can effectively promote the mutual cooperation among the main bodies and improve the economic performance of the system when designing the system.

Key words: distributed multi-energy system, electric vehicle charging station, multi-objective optimization

王锦坤, 薛娴, 吴慧敏, 秦科源. 考虑EV储能特性的分布式多能互补系统设计与运行优化分析[J]. 中国电力, 2025, 58(11): 164-174.

WANG Jinkun, XUE Xian, WU Huimin, QIN Keyuan. Optimization Model of Distributed Multi Energy Fusion System Considering the Mobile Energy Storage Characteristics of Electric Vehicles[J]. Electric Power, 2025, 58(11): 164-174.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202412068

https://www.electricpower.com.cn/CN/Y2025/V58/I11/164

图/表 15

图 1 分布式多能互补系统配置

Fig.1 Distributed multi energy complementary system configuration

图 2 电网分时电价

Fig.2 Time of use electricity price for the power grid

图 3 分布式多能互补系统设计与运行优化框架

Fig.3 Design and operational optimization framework for distributed multi energy complementary systems

图 4 基于NSGA-Ⅱ与MILP的系统设计与运行优化模型

Fig.4 System design and operation optimization model based on NSGA-Ⅱ and MILP

图 5 建筑全年电/冷/热负荷

Fig.5 Annual electricity/cooling/heating load of buildings

图 6 典型日的电/冷/热负荷

Fig.6 Typical daily electricity/cooling/heating load

图 7 不同情景下系统优化的帕累托前沿解集

Fig.7 Pareto frontier solution set for system optimization under different scenarios

图 8 系统优化结果

Fig.8 System optimization results

表 1 不同情景下系统设计优化结果

设备	情景1	情景2	情景3
PV/kW	176	787	620
GT/kW	448	656	584
AHP/kW	1 221	1 367	1 258
AB/kW	320	132	770
BATT/(kW·h)	55	31	86
EVCS/个	19	21	18

图 9 情景1中春、夏季典型日电力平衡

Fig.9 Typical daily power balance in spring and summer in scenario 1

图 10 情景1中秋、冬季典型日电力平衡

Fig.10 Typical daily power balance during mid autumn festival and winter in scenario 1.

图 11 情景2中春、夏季典型日电力平衡

Fig.11 Typical daily power balance in spring and summer in scenario 2

图 12 情景2中秋、冬季典型日电力平衡

Fig.12 Typical daily power balance in autumn and winter in scenario 2

图 13 情景3中春、夏季典型日电力平衡

Fig.13 Typical daily power balance in spring and summer under scenario 3

图 14 情景3中秋、冬季典型日电力平衡

Fig.14 Typical daily power balance in autumn and winter in scenario 3

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考虑EV储能特性的分布式多能互补系统设计与运行优化分析

Optimization Model of Distributed Multi Energy Fusion System Considering the Mobile Energy Storage Characteristics of Electric Vehicles

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考虑EV储能特性的分布式多能互补系统设计与运行优化分析

Optimization Model of Distributed Multi Energy Fusion System Considering the Mobile Energy Storage Characteristics of Electric Vehicles

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