OPTIMAL CONFIGURATION OF ENERGY STORAGE IN ACTIVE DISTRIBUTION NETWORKS CONSIDERING DEMAND RESPONSE

Liu Yili; Huang Yiting; Yang Yin

doi:10.19912/j.0254-0096.tynxb.2024-0147

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 716-724. DOI: 10.19912/j.0254-0096.tynxb.2024-0147

OPTIMAL CONFIGURATION OF ENERGY STORAGE IN ACTIVE DISTRIBUTION NETWORKS CONSIDERING DEMAND RESPONSE

Liu Yili, Huang Yiting, Yang Yin

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Abstract

In order to improve the economic efficiency and stability of active distribution networks （ADN） operations. An optimal allocation method of energy storage considering demand side response is proposed. Firstly, considering the load characteristics in ADNs, loads are categorized into industrial, commercial and residential types. Optimal time of-use tariffs are formulated for each of the three types of loads for demand response with the objective of minimizing the cost of power purchased by the users and the peak-to-valley difference of the loads. Secondly, a two-layer model is constructed for the optimal allocation of energy storage. The upper layer takes into account the investment cost of ADN, and selects the location and capacity of energy storage, while the lower layer takes into account the daily operation costs of ADN, and formulates the daily charging and discharging strategy for energy storage. Simulations are conducted to configure energy storage is configured under scenarios with and without demand response. The voltage fluctuation, network loss, and economy of ADN are compared, so as to validate the effectiveness of the proposed configuration scheme.

Key words

demand side management / energy storage / site selection / active distribution network / non-dominated sorting genetic algorithm

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Liu Yili, Huang Yiting, Yang Yin. OPTIMAL CONFIGURATION OF ENERGY STORAGE IN ACTIVE DISTRIBUTION NETWORKS CONSIDERING DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 716-724 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0147

References

[1] 李鹏, 王瑞, 冀浩然, 等. 低碳化智能配电网规划研究与展望[J]. 电力系统自动化, 2021, 45(24): 10-21.
LI P, WANG R, JI H R, et al.Research and prospect of planning for low-carbon smart distribution network[J]. Automation of electric power systems, 2021, 45(24): 10-21.
[2] LI J R, LIN J, SONG Y H, et al.Operation optimization of power to hydrogen and heat(P2HH) in ADN coordinated with the district heating network[J]. IEEE transactions on sustainable energy, 2019, 10(4): 1672-1683.
[3] LI J R, LIN J, ZHANG H C, et al.Optimal investment of electrolyzers and seasonal storages in hydrogen supply chains incorporated with renewable electric networks[J]. IEEE transactions on sustainable energy, 2020, 11(3): 1773-1784.
[4] 乐健, 綦淦, 赵联港, 等. 主动配电网分布式经济调度系统的时延稳定性分析[J]. 电力系统保护与控制, 2022, 50(21): 75-87.
LE J, QI G, ZHAO L G, et al.Time-delay stability analysis of an active distribution network adopting a distributed economic dispatch strategy[J]. Power system protection and control, 2022, 50(21): 75-87.
[5] 王仁顺, 赵宇, 马福元, 等. 受端电网高比例可再生能源消纳的运行瓶颈分析与储能需求评估[J]. 电网技术, 2022, 46(10): 3777-3787.
WANG R S, ZHAO Y, MA F Y, et al.Operational bottleneck analysis and energy storage demand evaluation for high proportional renewable energy consumption in receiving-end grid[J]. Power system technology, 2022, 46(10): 3777-3787.
[6] 董厚琦, 王俐英, 曹雨微, 等. 考虑用户价格需求响应的光-储充电站容量配置与定价方法研究[J]. 太阳能学报, 2021, 42(6): 79-86.
DONG H Q, WANG L Y, CAO Y W, et al.Capacity configuration and pricing designing method of PV-storage charging station considering user demand response[J]. Acta energiae solaris sinica, 2021, 42(6): 79-86.
[7] 王守相, 张善涛, 王凯, 等. 计及分时电价下用户需求响应的分布式储能多目标优化运行[J]. 电力自动化设备, 2020, 40(1): 125-132.
WANG S X, ZHANG S T, WANG K, et al.Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price[J]. Electric power automation equipment, 2020, 40(1): 125-132.
[8] 赵波, 汪湘晋, 张雪松, 等. 考虑需求侧响应及不确定性的微电网双层优化配置方法[J]. 电工技术学报, 2018, 33(14): 3284-3295.
ZHAO B, WANG X J, ZHANG X S, et al.Two-layer method of microgrid optimal sizing considering demand-side response and uncertainties[J]. Transactions of China Electrotechnical Society, 2018, 33(14): 3284-3295.
[9] 朱怡莹, 周荣生, 罗龙波. 考虑需求响应与光伏不确定性的电力系统经济调度[J]. 太阳能学报, 2023, 44(1): 62-68.
ZHU Y Y, ZHOU R S, LUO L B.Economic dispatch of power system considering demand response and PV uncertainty[J]. Acta energiae solaris sinica, 2023, 44(1): 62-68.
[10] 郭晓利, 赵莹, 曲楠, 等. 基于满意度的户用型微电网多属性需求响应策略[J]. 太阳能学报, 2021, 42(7): 21-27.
GUO X L, ZHAO Y, QU N, et al.Multi-attribute demand response strategy of household microgrid based on satisfaction[J]. Acta energiae solaris sinica, 2021, 42(7): 21-27.
[11] JIANG P, DONG J, HUANG H.Optimal integrated demand response scheduling in regional integrated energy system with concentrating solar power[J]. Applied thermal engineering, 2020, 166: 114754.
[12] 朱超婷, 杨玲君, 崔一铂, 等. 考虑需求响应用户参与度的主动配电网优化调度[J]. 电测与仪表, 2023, 60(4): 99-105, 154.
ZHU C T, YANG L J, CUI Y B, et al.Optimal scheduling of active distribution network considering user participation in demand response[J]. Electrical measurement & instrumentation, 2023, 60(4): 99-105, 154.
[13] 方金涛, 龚庆武. 考虑需求响应并计及液流电池动态特性的主动配电网系统储能优化配置[J]. 智慧电力, 2019, 47(11): 1-8.
FANG J T, GONG Q W.Optimal allocation of energy storage system in active distribution network considering demand response and dynamic characteristics of VRB[J]. Smart power, 2019, 47(11): 1-8.
[14] 南斌, 董树锋, 唐坤杰, 等. 考虑需求响应和源荷不确定性的光储微电网储能优化配置[J]. 电网技术, 2023, 47(4): 1340-1352.
NAN B, DONG S F, TANG K J, et al.Optimal configuration of energy storage in PV-storage microgrid considering demand response and uncertainties in source and load[J]. Power system technology, 2023, 47(4): 1340-1352.
[15] 陈沧杨, 胡博, 谢开贵, 等. 计入电力系统可靠性与购电风险的峰谷分时电价模型[J]. 电网技术, 2014, 38(8): 2141-2148.
CHEN C Y, HU B, XIE K G, et al.A peak-valley TOU price model considering power system reliability and power purchase risk[J]. Power system technology, 2014, 38(8): 2141-2148.
[16] YANG H J, WANG L, ZHANG Y Y, et al.Reliability evaluation of power system considering time of use electricity pricing[J]. IEEE transactions on power systems, 2019, 34(3): 1991-2002.
[17] 黄剑平, 陈皓勇, 林镇佳, 等. 需求侧响应背景下分时电价研究与实践综述[J]. 电力系统保护与控制, 2021, 49(9): 178-187.
HUANG J P, CHEN H Y, LIN Z J, et al.A summary of time-of-use research and practice in a demand response environment[J]. Power system protection and control, 2021, 49(9): 178-187.
[18] 潘雪文. 基于二阶锥规划的主动配电网源-储双层优化配置[D]. 南昌: 南昌大学, 2022.
PAN X W.Two-layer optimal source-storage allocation of active distribution network based on second-order cone programming[D]. Nanchang: Nanchang University, 2022.
[19] 郝思鹏, 张前, 周宇, 等. 分时电价下企业光储系统的容量配置及优化运行[J]. 电力工程技术, 2020, 39(4): 96-103.
HAO S P, ZHANG Q, ZHOU Y, et al.Capacity configuration and optimal operation of enterprise optical storage system under time-shared price[J]. Electric power engineering technology, 2020, 39(4): 96-103.
[20] 曹帆. 考虑需求侧响应的多微网优化调度研究[D]. 哈尔滨: 哈尔滨工业大学, 2022.
CAO F.Research on multi microgrid optimal scheduling considering demand side response[D]. Harbin: Harbin Institute of Technology, 2022.