聚合商模式下考虑调峰需求的分布式储能优化配置

聂立君; 邢海军; 江伟建; 王华昕; 沈杰; 师旭露

doi:10.19912/j.0254-0096.tynxb.2023-0443

PDF(1712 KB)

太阳能学报 ›› 2024, Vol. 45 ›› Issue (7) : 153-162. DOI: 10.19912/j.0254-0096.tynxb.2023-0443

聚合商模式下考虑调峰需求的分布式储能优化配置

聂立君¹, 邢海军¹, 江伟建², 王华昕¹, 沈杰¹, 师旭露¹

作者信息 +

OPTIMIZED CONFIGURATION OF DISTRIBUTED ENERGY STORAGE CONSIDERING PEAK SHAVING REQUIREMENTS UNDER AGGREGATOR MODE

Nie Lijun¹, Xing Haijun¹, Jiang Weijian², Wang Huaxin¹, Shen Jie¹, Shi Xulu¹

Author information +

文章历史 +

摘要

提出一种在聚合商模式下考虑系统调峰需求的分布式储能双层优化配置模型,兼顾聚合商收益与电力系统调峰运行成本。外层模型考虑储能套利收益、调峰补贴收益、投资成本等,以聚合商年收益最大为目标,以此提高储能聚合商的投资意愿;内层模型为储能辅助火电机组调峰的系统运行问题,以系统调峰总成本最小为目标。利用改进的IEEE 30节点和IEEE 33节点混合系统进行仿真验证,结果表明所提模型的可行性与有效性。

Abstract

A bi-level optimization model of distributed energy storage system is proposed to consider the system peaking demand under the aggregator model, which balances the benefits of the aggregator and the peaking operation cost of the power system. The outer model considers the arbitrage revenue, peak shaving subsidy revenue and investment cost of energy storage, which aims to maximize the aggregator's annual revenue to improve its investment enthusiasm. The inner model is a system operation problem, considering peak shaving using energy storage auxiliary thermal power generating units, and the model aims at minimizing the total system peak shaving cost. The simulation is verified in the modified hybrid system with IEEE 30 and IEEE 33 node system. The results verify the feasibility and effectiveness of the proposed model.

导出引用

聂立君, 邢海军, 江伟建, 王华昕, 沈杰, 师旭露. 聚合商模式下考虑调峰需求的分布式储能优化配置[J]. 太阳能学报. 2024, 45(7): 153-162 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0443

Nie Lijun, Xing Haijun, Jiang Weijian, Wang Huaxin, Shen Jie, Shi Xulu. OPTIMIZED CONFIGURATION OF DISTRIBUTED ENERGY STORAGE CONSIDERING PEAK SHAVING REQUIREMENTS UNDER AGGREGATOR MODE[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 153-162 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0443

中图分类号： TM715

参考文献

[1] 王建, 李兴源, 邱晓燕. 含有分布式发电装置的电力系统研究综述[J]. 电力系统自动化, 2005, 29(24): 90-97.
WANG J, LI X Y, QIU X Y.Power system research on distributed generation penetration[J]. Automation of electric power systems, 2005, 29(24): 90-97.
[2] 崔杨, 于世鹏, 王学斌, 等. 考虑系统调峰需求与光热电站收益平衡的储热容量优化配置[J]. 中国电机工程学报, 2023, 43(22): 8745-8757.
CUI Y, YU S P, WANG X B, et al.Optimal configuration of heat storage capacity considering the balance between system peak shaving demand and concentrating solar power plant revenue[J]. Proceedings of the CSEE, 2023, 43(22): 8745-8757.
[3] 赵冬梅, 徐辰宇, 陶然, 等. 多元分布式储能在新型电力系统配电侧的灵活调控研究综述[J]. 中国电机工程学报, 2023, 43(5): 1776-1799.
ZHAO D M, XU C Y, TAO R, et al.Review on flexible regulation of multiple distributed energy storage in distribution side of new power system[J]. Proceedings of the CSEE, 2023, 43(5): 1776-1799.
[4] 国家能源局, 科学技术部. 关于印发《“十四五”能源领域科技创新规划》的通知[EB/OL]. [2021-11-29]. http://zfxxgk.nea.gov.cn/2021-11/29/c_1310540453.htm.
National Energy Administration, Ministry of Science and Technology. Notice on printing and distributing the “14th Five Year Plan” for science and technology innovation in the energy field[EB/OL]. [2021-11-29]. http://zfxxgk.nea.gov.cn/2021-11/29/c_1310540453.htm.
[5] 国家能源局. 关于印发《电力辅助服务管理办法》的通知[EB/OL]. [2021-12-21]. http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391161.htm.
National Energy Administration. Notice of the national energy administration on printing and distributing the administrative “Measures for Electric Power Auxiliary Services”[EB/OL]. [2021-12-21]. http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391161.htm.
[6] 李建林, 修晓青, 吕项羽, 等. 储能系统容量优化配置及全寿命周期经济性评估研究综述[J]. 电源学报, 2018, 16(4): 1-13.
LI J L, XIU X Q, LYU X Y, et al.Review on capacity optimization configuration and life cycle economic evaluation method for energy storage system[J]. Journal of power supply, 2018, 16(4): 1-13.
[7] 唐权, 胥威汀, 叶希, 等. 考虑聚合商参与的配电网分布式储能系统优化配置[J]. 电力系统保护与控制, 2019, 47(17): 83-92.
TANG Q, XU W T, YE X, et al.Optimized configuration of distributed energy storage system in distribution network considering the participation of aggregators[J]. Power system protection and control, 2019, 47(17): 83-92.
[8] 李聪, 秦立军. 基于改进粒子群算法的混合储能独立调频的容量优化研究[J]. 太阳能学报, 2023, 44(1): 426-434.
LI C, QIN L J.Sizing optimization for hybrid energy storage system independently participating in regulation market using improved particle swarm optimization[J]. Acta energiae solaris sinica, 2023, 44(1): 426-434.
[9] 李培强, 李雄, 蔡笋, 等. 风电场含退役动力电池的混合储能系统容量优化配置[J]. 太阳能学报, 2022, 43(5): 492-498.
LI P Q, LI X, CAI S, et al.Capacity optimization configuration of hybrid energy storage system with retired power batteries in wind farms[J]. Acta energiae solaris sinica, 2022, 43(5): 492-498.
[10] 马速良, 武亦文, 李建林, 等. 提升电网可靠性的储能系统最优经济性规划方法[J]. 太阳能学报, 2024, 45(2): 251-262.
MA S L, WU Y W, LI J L, et al.Optimal economic planning method of energy storage system to improve grid reliability[J]. Acta energiae solaris sinica, 2024, 45(2): 251-262.
[11] 李军徽, 张嘉辉, 李翠萍, 等. 参与调峰的储能系统配置方案及经济性分析[J]. 电工技术学报, 2021, 36(19): 4148-4160.
LI J H, ZHANG J H, LI C P, et al.Configuration scheme and economic analysis of energy storage system participating in grid peak shaving[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4148-4160.
[12] 曹炜, 沙海伟. 考虑辅助调峰的储能-制氢混合系统容量配置研究[J]. 能源研究与利用, 2022(5): 47-52.
CAO W, SHA H W.Study on capacity allocation of energy storage-hydrogen production hybrid system considering auxiliary peak shaving[J]. Energy research & utilization, 2022(5): 47-52.
[13] 朱志莹, 郭杰, 于国强, 等. 风光接入下储能系统双层优化模型[J]. 太阳能学报, 2022, 43(10): 443-451.
ZHU Z Y, GUO J, YU G Q, et al.Bi-layer optimization model for energy storage systems under wind and pv access[J]. Acta energiae solaris sinica, 2022, 43(10): 443-451.
[14] 姜欣, 郑雪媛, 胡国宝, 等. 市场机制下面向电网的储能系统优化配置[J]. 电工技术学报, 2019, 34(21): 4601-4610.
JIANG X, ZHENG X Y, HU G B, et al.Optimization of battery energy storage system locating and sizing for the grid under the market mechanism[J]. Transactions of China Electrotechnical Society, 2019, 34(21): 4601-4610.
[15] 武震. 分布式储能系统关键技术研究[D]. 天津: 天津大学, 2014.
WU Z.Studies on key technologies of distributed energy storage system[D]. Tianjin: Tianjin University, 2014.
[16] Federal Energy Regulatory Commission. Order No. 841[R]. Washington DC: FERC, 2018.
[17] 国家能源局南方监管局. 关于印发《南方区域电力并网运行管理实施细则》《南方区域电力辅助服务管理实施细则》的通知[EB/OL].[2022-06-13]. https://nfj.nea.gov.cn/hdhy/zlxz/202402/t20240208_244591.html.
South China Energy Regulatory Bureau of the National Energy Administration of the People's Republic of China. Notice on printing and distributing “the Implementation Rules for the Management of Grid Connected Operation of Electric Power in the South Region” and “the Implementation Rules for the Management of Auxiliary Services of Electric Power in the South Region”[EB/OL].[2022-06-13]. https://nfj.nea.gov.cn/hdhy/zlxz/202402/t20240208_244591.html.
[18] 国家能源局华北能监局. 关于印发《第三方独立主体参与华北电力调峰辅助服务市场规则(试行2020版)》的通知[EB/OL].[2022-12-10]. https://hbj.nea.gov.cn/xxgk/zcfg/202402/t20240208_239973.html.
North China Energy Regulatory Bureau of National Energy Administration of The People's Republic of China. Notice on printing and distributing the “Market Rules for Participation of Third Party Independent Entities in North China Electric Power Peak shaving Auxiliary Service Market (trial, 2020)”[EB/OL]. [2022-12-10]. https://hbj.nea.gov.cn/xxgk/zcfg/202402/t20240208_239973.html.
[19] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
LI J L, GUO B Q, NIU M, et al.Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[20] 蔡福霖, 胡泽春, 曹敏健, 等. 提升新能源消纳能力的集中式与分布式电池储能协同规划[J]. 电力系统自动化, 2022, 46(20): 23-32.
CAI F L, HU Z C, CAO M J, et al.Coordinated planning of centralized and distributed battery energy storage for improving renewable energy accommodation capability[J]. Automation of electric power systems, 2022, 46(20): 23-32.
[21] YU L, CHEN M Y, YU D C, et al.A novel information exchange particle swarm optimization for microgrid multi-objective dynamic optimization control[J]. Journal of renewable & sustainable energy, 2014, 6(2): 1-12.
[22] XING H J, FU Y, CHENG H Z.Active distribution network expansion planning integrating practical operation constraints[J]. Electric power components and systems, 45(16): 1795-1805, 2017.
[23] 国家能源局东北监管局. 关于征求《东北电力辅助服务市场运营规则(征求意见稿)》意见的通知[EB/OL].[2020-11-26]. https://dbj.nea.gov.cn/hdhy/dczj/202402/t20240212_256459.html.
Northeast China Energy Regulatory Bureau of National Energy Administration of the People's Republic of China. Notice on soliciting opinions on the “Northeast Electric Power Auxiliary Service Market Operation Rules (Draft for Comments)”[EB/OL].[2020-11-26]. https://dbj.nea.gov.cn/hdhy/dczj/202402/t20240212_256459.html.
[24] 李军徽, 张嘉辉, 穆钢, 等. 储能辅助火电机组深度调峰的分层优化调度[J]. 电网技术, 2019, 43(11): 3961-3970.
LI J H, ZHANG J H, MU G, et al.Hierarchical optimization scheduling of deep peak shaving for energy-storage auxiliary thermal power generating units[J]. Power system technology, 2019, 43(11): 3961-3970.