Multi-objective Optimal Dispatching for Decentralized Energy Storages in Distribution Areas with a High Proportion of PVs Considering Benefits of Multiple Subjects

YUAN Bo; YANG Peng; WANG Tao; WANG Haoqing; ZHAO Caihong; WEI Mengju; ZHANG HAN; TANG Wei

doi:10.19725/j.cnki.1007-2322.2023.0276

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Multi-objective Optimal Dispatching for Decentralized Energy Storages in Distribution Areas with a High Proportion of PVs Considering Benefits of Multiple Subjects

更新时间：2025-12-11

- Multi-objective Optimal Dispatching for Decentralized Energy Storages in Distribution Areas with a High Proportion of PVs Considering Benefits of Multiple Subjects
- Issue 6, Pages: 1268-1277(2025)
- 作者机构：
  
  1. 国网河北省电力有限公司经济技术研究院,河北省,石家庄市,050021
  2. 国网河北省电力有限公司,河北省,石家庄市,050021
  3. 中国电力科学研究院有限公司, 海淀区,北京市,100192
  4. 中国农业大学信息与电气工程学院, 海淀区,北京市,100083
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0276
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
YUAN Bo, YANG Peng, WANG Tao, et al. Multi-objective Optimal Dispatching for Decentralized Energy Storages in Distribution Areas with a High Proportion of PVs Considering Benefits of Multiple Subjects[J]. 2025, (6): 1268-1277.
DOI：

YUAN Bo, YANG Peng, WANG Tao, et al. Multi-objective Optimal Dispatching for Decentralized Energy Storages in Distribution Areas with a High Proportion of PVs Considering Benefits of Multiple Subjects[J]. 2025, (6): 1268-1277. DOI： 10.19725/j.cnki.1007-2322.2023.0276.

摘要

高比例户用光伏单相接入低压配电网会导致电压越上限、三相不平衡加剧、网络损耗增大，在用户侧配置储能装置可以有效改善上述问题。针对配电台区进行储能优化调度时低压用户和电网利益不一致的问题，提出了考虑高比例光伏配电台区多主体利益的分散储能多目标优化方法，以配电网和用户的综合满意度最大作为目标函数，以储能有功功率为优化变量，建立了考虑电网–用户利益均衡的储能分散调度模型。根据配电网网损、用户储能补偿成本、三相不平衡度构建电网满意度函数，根据用户用电成本、储能退化成本构建用户满意度函数，进而采用CPLEX中的分支定界法对模型求解。算例仿真结果表明，相对于只考虑电网利益或者用户利益，文中方法可以有效提高电网、用户的整体满意度，同时电压越限、三相不平衡问题得到极大改善。

Abstract

The unbalanced connection of large-scale residential PVs integrated into distribution station area will result in issues such as voltage violation

increased three-phase imbalance and increased network losses. These issues can be effectively solved through the installation of energy storage devices on the user side. In this paper

we propose an optimal dispatching method of decentralized energy storage in distribution substations with a high proportion of PVs considering the equilibrium of benefits of multiple subjects

to address the inconsistency between the interests of low-voltage users and the power grid during the optimal dispatch of energy storage. A comprehensive satisfaction optimization model considering the balance of grid-user benefits is established by considering low-voltage three-phase four-wire network structure and energy storage degradation

taking the maximum sum of satisfaction of the distribution network and users as the objective function and the active power of energy storage as the control variable. The power grid satisfaction function is constructed according to the distribution network loss

user energy storage compensation cost

and three-phase imbalance. Similarly

the user satisfaction function is established based on user electricity cost and energy storage degradation cost. The CPLEX software is utilized to solve the comprehensive satisfaction optimization model. The simulation results of the 21-node distribution station area demonstrate that

compared to solely considering the interests of the power grid or the interests of users

the method proposed in this paper effectively strike a balance among the grid-user benefits

while significantly improving the voltage limit and three-phase imbalance issues.

关键词

Keywords

references

国家发展改革委员会. 可再生能源发展“十三五”规划(上)[J]. 太阳能, 2017(2): 5−11.

CAI Yongxiang, TANG Wei, ZHANG Bo, et al. Containing a high proportion of household photovoltaic low-voltage distribution network centralized-on-site two-stage voltage-reactive power control[J]. Power System Technology, 2019, 43(04): 1271−1280(in Chinese).

蔡永翔, 唐巍, 张博, 等. 含高比例户用光伏低压配电网集中–就地两阶段电压–无功控制[J]. 电网技术, 2019, 43(04): 1271−1280.

HAQUE M, WOLFS P. A review of high PV penetrations in LV distribution networks: present status, impacts and mitigation measures[J]. Renewable and Sustainable Energy Reviews, 2016, 62: 1195−1208.

HU Jing, HUANG Bibin, JIANG Liping, et al. Application and key issues of electrochemical energy storage adapted to the power market environment[J]. China Electric Power, 2020, 53(01): 100−107(in Chinese).

胡静, 黄碧斌, 蒋莉萍, 等. 适应电力市场环境下的电化学储能应用及关键问题[J]. 中国电力, 2020, 53(01): 100−107.

BAKEER A , SALAMA H S , VOKONY I . Integration of PV system with SMES based on model predictive control for utility grid reliability improvement[J]. Protection and Control of Modern Power Systems, 2021, V(2) : 191−213.

KOU Lingfeng, ZHANG Ying, JI Yu, et al. Typical application scenario and operation mode analysis of distributed energy storage[J]. Power System Protection and Control, 2020, 48(4): 177−187(in Chinese).

寇凌峰, 张颖, 季宇, 等. 分布式储能的典型应用场景及运营模式分析[J]. 电力系统保护与控制, 2020, 48(4): 177−187.

FANG Baomin, LI Hongzhi, KONG Xiangpeng, et al. Research on long-term distributed energy storage configuration with a high proportion of photovoltaic output[J]. Power System Protection and Control, 2021, 49(2): 121−129(in Chinese).

方保民, 李红志, 孔祥鹏, 等. 含高比例光伏出力的长期分布式储能配置研究[J]. 电力系统保护与控制, 2021, 49(2): 121−129.

WU Min. Research on family energy efficiency management strategy based on integrated solar/storage smart inverter[J]. Electrical Technology, 2015(11): 44−47+52(in Chinese).

吴敏. 基于光/储一体化智能逆变器的家庭能效管理策略的研究[J]. 电气技术, 2015(11): 44−47+52.

HAFIZ F, DE QUEIROZ A R, HUSAIN I. Multi-stage stochastic optimization for a PV-storage hybrid unit in a household[C]//2017 IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, 2017: 1−7.

马权凯. 高渗透分布式光伏低压配电网储能系统的优化控制[D] . 西安: 西安理工大学, 2020.

ZHANG Bo, TANG Wei, CAI Yongxiang, et al. Distributed control strategy for household photovoltaic inverters and energy storage based on consensus algorithm[J]. Automation of Electric Power Systems, 2020, 44(02): 86−96(in Chinese).

张博, 唐巍, 蔡永翔, 等. 基于一致性算法的户用光伏逆变器和储能分布式控制策略[J]. 电力系统自动化, 2020, 44(02): 86−96.

WANG Z, GU C, LI F, et al. Active demand response using shared energy storage for household energy management[J]. IEEE Trans Smart Grid, 2013, 4(04): 1888−1897.

YANG Xiaoping, LIU Haojie, HUANG Qiang. Optimal dispatch model of wind-solar and solar-storage joint "peak cutting" considering time-of-use electricity prices[J]. Acta Energiae Solaris Sinica, 2018, 39(6): 1752−1760(in Chinese).

杨晓萍, 刘浩杰, 黄强. 考虑分时电价的风光储联合“削峰”优化调度模型[J]. 太阳能学报, 2018, 39(6): 1752−1760.

HUANG Wujing, ZHANG Ning, KANG Chongqing. From demand response to integrated demand response: review and prospect of research and application[J]. Protection and Control of Modern Power Systems, 2019, 4(4): 148−150.

DING Yixing, XU Qingshan, LV Yajuan, et al. Optimal configuration of user-side energy storage considering demand management[J]. Power System Technology, 2019, 43(04): 1179−1186(in Chinese).

丁逸行, 徐青山, 吕亚娟, 等. 考虑需量管理的用户侧储能优化配置[J]. 电网技术, 2019, 43(04): 1179−1186.

YI Bi, LIANG Chongga, ZHAO Wei, et al. Energy storage control strategy based on the operating characteristics of low-voltage distribution stations[J]. Smart Grid, 2020, 10(3): 121−130.

HUANG Hui, LI Yonggang, LIU Huazhi. Collaborative optimization strategy of source-grid-load-energy storage based on improved Nash-Q equilibrium transfer algorithm[J]. Electric Power Automation Equipment, 2023, 43(8): 71−77+104(in Chinese).

黄慧, 李永刚, 刘华志. 基于改进Nash-Q均衡迁移算法的源网荷储协同优化策略[J]. 电力自动化设备, 2023, 43(8): 71−77+104.

MICHELUSI N, BADIA L, CARLI R, et al. Energy management policies for harvesting-based wireless sensor devices with battery degradation[J]. IEEE Trans Commun, 2013, 61(12): 4934−4947.

MILLNER A. Modeling lithiumion battery degradation in electric vehicles[C]// Proc IEEE CITRES’10, 2010.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-objective Economic Dispatch of Transmission-distribution-coupled Networks Considering Global and Regional Carbon Emission Obligations

Multi-objective Islanding Operation Strategy of Active Distribution Network Considering the Assistance of Mobile Energy Storage System

Comprehensive Optimization of Heat and Electric Energy for Micro-grid with Electric Heat Storage to Solve the High Penetration Problem of Wind Power Consumption

Related Author

Hao JIAO

Jinming CHEN

Xindong ZHAO

Yajuan GUO

Yi YANG

Minghao HUANG

Keming LI

Yufei WANG

Related Institution

Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd.

College of Electrical Engineering, Zhejiang University

School of Electrical Engineering, Shanghai University of Electric Power, Yangpu District

School of Electrical Engineering,Shanghai University of Electric Power

AI问答

⁰