基于线损敏感度的配电网BESS二阶段优化配置模型

王彬; 王学军; 葛磊蛟; 刘航旭; 魏联滨; 王莹

doi:10.19725/j.cnki.1007-2322.2023.0410

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基于线损敏感度的配电网BESS二阶段优化配置模型

智能电网 | 更新时间：2026-02-02

- 基于线损敏感度的配电网BESS二阶段优化配置模型
- A Two-stage Configuration Optimization Model for BESS in Distribution Networks Based on Line Loss Sensitivity
- 现代电力 2026年43卷第1期页码：72-80
- 作者机构：
  
  1. 国网天津市电力公司, 天津市河北区,300010
  2. 天津大学电气自动化与信息工程学院, 天津市南开区,300072
- 作者简介：
  
  [ "王彬(1988)，男，硕士，工程师，研究方向为综合计划、生产经营计划及同期线损，E-mail：wb1988@163.com" ]
  [ "王学军(1982)，男，硕士，高级工程师，研究方向为配电网线损治理技术" ]
  [ "葛磊蛟(1984)，男，博士，副教授，通信作者，研究方向为智能配电网技术，E-mail：legendglj99@tju.edu.cn" ]
  [ "刘航旭(1999)，男，硕士，研究方向为智能配电网技术" ]
  [ "魏联滨(1976)，男，硕士，高级工程师，研究方向为配电网线损治理技术，E-mail：wlb1976@163.com" ]
  [ "王莹(1979)，女，硕士，高级工程师，研究方向为电力系统规划及生产经营计划，E-mail：wyy1979@163.com" ]
- 基金信息：
  
  国家自然科学基金项目(52277118)。
- DOI：10.19725/j.cnki.1007-2322.2023.0410
  中图分类号： 1
- 纸质出版：2026
- 稿件说明：
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王彬, 王学军, 葛磊蛟, 等. 基于线损敏感度的配电网BESS二阶段优化配置模型[J]. 现代电力, 2026,43(1):72-80.

王彬, 王学军, 葛磊蛟, et al. A Two-stage Configuration Optimization Model for BESS in Distribution Networks Based on Line Loss Sensitivity[J]. 2026, 43(1): 72-80.
王彬, 王学军, 葛磊蛟, 等. 基于线损敏感度的配电网BESS二阶段优化配置模型[J]. 现代电力, 2026,43(1):72-80. DOI： 10.19725/j.cnki.1007-2322.2023.0410.

王彬, 王学军, 葛磊蛟, et al. A Two-stage Configuration Optimization Model for BESS in Distribution Networks Based on Line Loss Sensitivity[J]. 2026, 43(1): 72-80. DOI： 10.19725/j.cnki.1007-2322.2023.0410.

摘要

光伏（photovoltaics

PV）和电动汽车（electric vehicles

EV）的发展加剧了配电网的运行压力，尽管接入电池储能系统（battery energy storage systems

BESS）可以缓解该现象，但现有的优化配置模型较少考虑BESS接入位置对线损的影响。针对上述挑战，提出一个二阶段优化配置模型。该模型基于线损敏感度，旨在优化含高比例光伏和电动汽车的配电网中电池储能系统的配置。首先，构建基于线损敏感度的BESS接入位置优化选取模型；之后，在BESS接入容量优化方面，建立考虑运维成本、线损、调压和负荷峰值等目标的容量优化模型；并提出改进的粒子群优化算法对所提问题进行优化求解。所提方法在含高比例PV-EV的IEEE-33节点配电网上进行评估。从目标函数、系统效率、投资回收期和统计分析等方面对几种算法结果进行了比较。仿真结果表明，基于线损敏感度的高比例PV-EV配电网的BESS二阶段优化配置模型可以更好地降低线损、改善电压分布，使系统成本降低40.05%，线损降低10.67%，负荷峰值降低12.05%，验证了所提方法的有效性。

Abstract

The development of photovoltaics (PV) and electric vehicles (EV) has intensified the operational pressure of the distribution network. Although the integration of battery energy storage systems (BESS) can alleviate this situation

existing configuration optimization models rarely consider the impact of BESS integration location on line loss. To address this issue

in this paper we propose a two-stage configuration optimization model for BESS based on line loss sensitivity in distribution networks with high proportions of PV and EV. The first step involves the construction of a BESS access location optimal selection model based on line loss sensitivity. Afterwards

in terms of BESS access capacity optimization

a capacity optimization model is established considering objectives such as operation and maintenance costs

line losses

voltage regulation

and peak load. Moreover

we propose an improved particle swarm optimization algorithm to optimize and solve the model. The proposed method is evaluated on an IEEE-33 node distribution network with a high proportion of PV-EV. The results obtained by the considered algorithms are compared in terms of objective function

system efficiency improvement

investment payback period

and statistical analysis. The simulation results demonstrate that the two-stage configuration optimization for BESS in high proportion PV-EV distribution network based on line loss sensitivity model can effectively reduce line loss

improve voltage distribution

and reduce system cost by 40.05%

line loss by 10.67%

and load peak by 12.05%

thereby verifying the effectiveness of the proposed method.

关键词

Keywords

references

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