| 656 | 12 | 369 |
| 下载次数 | 被引频次 | 阅读次数 |
【目的】高比例新能源接入带来的随机波动性使得配电网运行面临严峻挑战。为优化内部含多微电网与共享储能功率交互的配电网运行，提出基于共享储能容量分配机制的配电网双层优化模型。【方法】根据多微电网缺额负荷的差异互补特性，利用余弦相似度算法计算缺额负荷的相似度权重，结合缺额负荷对共享储能容量进行权重分配。建立了配电网潮流最优和电压偏移最小和多微电网弃风弃光最小和运行成本最小的双层优化模型。上层基于分配的储能容量优化各微电网出力范围，在配电网层求解中以得到微电网最优出力可行解并传递给下层；下层基于分配的储能容量进行多微电网共享储能的功率交互，实现多微电网的经济运行。【结果】利用改进的IEEE33节点系统对模型进行验证，结果显示：(1)共享储能容量分配机制与传统分配机制相比，配电网线损和电压偏移分别减小了9.8%和9.2%,多微电网的弃风弃光率和运行总成本分别降低了23.8%和6.1%;(2)对共享储能容量分配机制下的不同储能模式进行对比，共享储能比独立储能在多微电网的弃风弃光率和运行总成本方面分别降低了14.8%和3.3%。【结论】结果表明：合理有效的共享储能分配机制，可以促进高比例新能源消纳，提高共享储能整体利用率，实现配电网整体优化运行。
Abstract：[Objective]The random fluctuation caused by the high proportion of new energy access makes the operation of the distribution network face severe challenges. In order to optimize the operation of the distribution network with the interaction between the internal multi-microgrid and the shared energy storage, a two-layer optimization model of the distribution network based on the shared energy storage capacity allocation mechanism is proposed.[Methods]According to the differential complementarity characteristics of the deficit load of multiple microgrids, the cosine similarity algorithm is used to calculate the similarity weight of the deficit load, and the weight allocation of the shared energy storage capacity is carried out in combination with the deficit load. A two-layer optimization model of optimal power flow and voltage offset in distribution network and minimal wind and photovoltaic abandonment, minimum operating cost in multi-microgrid is established. The upper layer optimizes the output range of each microgrid based on the allocated energy storage capacity, and obtains the feasible solution of the optimal output of the microgrid in the solution of the distribution network layer and transmits it to the lower layer. The lower layer carries out the power interaction of multi-microgrid shared energy storage based on the allocated energy storage capacity to realize the economic operation of multi-microgrid.[Results]The improved IEEE33 node system was used to verify the model, and the result showed that:(1) Compared with the traditional allocation mechanism, the line loss and voltage offset of the distribution network were reduced by 9.8% and 9.2%, respectively, and the curtailment rate and total operating cost of multi-microgrid were reduced by 23.8% and 6.1%, respectively.(2) Under the shared energy storage capacity allocation mechanism, compared with independent energy storage, the shared energy storage reduces the curtailment rate and total operating cost of multi-microgrid by 14.8% and 3.3%, respectively.[Conclusion]The result show that a reasonable and effective shared energy storage allocation mechanism can promote a high proportion of new energy consumption, improve the overall utilization rate of shared energy storage, and realize the overall optimal operation of the distribution network.
[1] TANG Y Y,ZHANG Q,MCLELLAN B,et al.Study on the impacts of sharing business models on economic performance of distributed PV-battery systems[J].Energy,2018,161:544-558.
[2] LAI S Y,QIU J,TAO Y C.Individualized pricing of energy storage sharing based on discount sensitivity [J].IEEE Transactions on Industrial Informatics,2022,18(7):4642-4653.
[3] 刘畅，卓建坤，赵东明，等.利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J].中国电机工程学报，2020,40(1):1-18.LIU Chang,ZHUO Jiankun,ZHAO Dongming,et al.A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids [J].Proceedings of the CSEE,2020,40(1):1-18.
[4] 孙伟卿，罗静，张婕.高比例风电接入的电力系统储能容量配置及影响因素分析[J].电力系统保护与控制，2021,49(15):9-18.SUN Weiqing,LUO Jing,ZhANG Jie.Energy storage capacity allocation and influence factor analysis of a power system with a high proportion of wind power[J].Power System Protection and Control,2021,49(15):9-18.
[5] 刘静琨，张宁，康重庆.电力系统云储能研究框架与基础模型[J].中国电机工程学报，2017,37(12):3361-3371.LIU Jingkun,ZHANG Ning,KANG Chongqing.Research framework and basic model for cloud energy storage in power system[J].Proceedings of the CSEE,2017,37(12):3361-3371.
[6] CHEN Changming,LI Yan,QIU Weiqiang,et.al.Cooperative game based day-ahead scheduling for local integrated energy systems with shared energy storage[J].IEEE Transactions on Sustainable Energy,2022,13(4):1994-2011.
[7] 帅轩越，马志程，王秀丽，等.基于主从博弈理论的共享储能与综合能源微网优化运行研究[J/OL].电网技术，2022:1-12.SHUAI Xuanyue,MA Zhicheng,WANG Xiuli,et al.Research on optimal operation of shared energy storage and integrated energy microgrid based on leader-follower game theory[J/OL].Power System Technology,2022:1-12.
[8] 李淋，徐青山，王晓晴，等.基于共享储能电站的工业用户日前优化经济调度[J].电力建设，2020,41(5):100-107.LI Lin,XU Qingshan,WANG Xiaoqing,et al.Optimal economic scheduling of industrial customers on the basis of sharing energy-storage station[J].Electric Power Construction,2020,41(5):100-107(in Chinese).
[9] 郝艺博，杜锡力，李笑竹，等.考虑储能性能差异的新能源场站群共享储能交易模式[J].发电技术，2022,43(5):687-697.HAO Yibo,DU Xili,LI Xiaozhu,et al.Shared energy storage trading mode of new energy station group considering energy storage performance difference[J].Power Generation Technology,2022,43(5):687-697.
[10] GAO J W,GAO F J,YANG Y,et.al.Configuration optimization and benefit allocation model of multi-park integrated energy systems considering electric vehicle charging station to assist services of shared energy storage power station[J].Journal of Cleaner Production,2022,336:130381.
[11] 徐艳春，刘海权，孙思涵，等.计及需求响应和共享储能的多微网系统双层优化调度[J/OL].电力自动化设备，2022:1-25.XU Yanchun,LIU Haiquan,SUN Sihan,et.al.Double-layer optimal dispatch of multi-microgrid system considering demand response and shared energy storage[J/OL].Power Automation Equipment,2022:1-25.
[12] JO J,PARK J.Demand-side management with shared energy storage system in smart grid[J].IEEE Transactions on Smart Grid,2020,11(5):4466-4476.
[13] 田欣，陈来军，李笑竹，等.基于主从博弈和改进Shapley值的分布式光伏社区共享储能优化运行策略[J/OL].电网技术，2022:1-10.TIAN Xin,CHEN Laijun,LI Xiaozhu,et al.Optimal operation strategy of distributed photovoltaic community shared energy storage based on master-slave game and improved Shapley value[J/OL].Power System Technology,2022:1-10.
[14] 王再闯，陈来军，李笑竹，等.基于合作博弈的产销者社区分布式光伏与共享储能容量优化[J].电工技术学报，2022,37(23):5922-5932.WANG Zaichuang,CHEN Laijun,LI Xiaozhu,et al.Optimization of distributed photovoltaic and shared energy storage capacity of producers and marketers based on cooperative game[J].Transactions of China Electrotechnical Society,2022,37(23):5922-5932.
[15] CUI S C,WANG Y W,SHI Y,et al.Community energy cooperation with the presence of cheating behaviors[J].IEEE Transactions on Smart Grid,2021,12(1):561-573.
[16] MEDIWATHTHE C P,SHAW M,HALGAMUGE S,et al.An incentive-compatible energy trading framework for neighborhood area networks with shared energy storage[J].IEEE Transactions on Sustainable Energy,2020,11(1):467-476.
[17] 程杉，汪业乔，廖玮霖，等.含电动汽车的新能源微电网多目标分层优化调度[J].电力系统保护与控制，2022,50(12):63-71.CHENG Shan,WANG Yeqiao,LIAO Weilin,et al.Bi-level multi-objective optimization of a new energy microgrid with electric vehicles [J].Power System Protection and Control,2022,50(12):63-71.
[18] 余涛，冯斌，韦冬妮，等.含分布式能源的主动配电网“源-网-荷-储”协调经济调度[J].水利水电技术(中英文),2021,52(6):215-222.YU Tao,FENG Bin,WEI Dongni,et al.Coordinated economic dispatch of “source-grid-load-storage” of active distribution network with distributed energy resources[J].Water Resources and Hydropower Engineering,2021,52(6):215-222.
[19] 帅轩越，王秀丽，吴雄，等.计及电热需求响应的共享储能容量配置与动态租赁模型[J].电力系统自动化，2021,45(19):24-32.SHUAI Xuanyue,WANG Xiuli,WU Xiong,et al.Shared energy storage capacity allocation and dynamic lease model considering electricity-heat demand response [J].Automation of Electric Power Systems,2021,45(19):24-32.
[20] ERAN S,SHAMMYA S H,ANNA S,et.al.Lossy DistFlow formulation for single and multiphase radial feeders[J].IEEE Transactions on Power Systems,2020,Vol.35(3):1758-1768.
[21] 程杉，钟仕凌，尚冬冬，等.考虑电动汽车时空负荷分布特性的主动配电网动态重构[J].电力系统保护与控制，2022,50(17):1-13.CHENG Shan,ZHONG Shiling,SHANG Dongdong,et al.Dynamic reconfiguration of an active distribution network considering temporal and spatial load distribution characteristics of electric vehicles [J].Power System Protection and Control,2022,50(17):1-13.
[22] 周丽娜.尼尔基水电厂智能化改造技术研究[J].水利发展研究，2017,17(4):59-64.ZHOU Lina.Research on Intelligent Transformation Technology of Nierji Hydropower Plant[J].Water Resources Development Research,2017,17(4):59-64.
[23] 侯慧，柯贤彬，王成智，等.区域电动汽车协调优化的充放电策略[J].高电压技术，2018,44(2):648-654.HOU Hui,KE Xianbin,WANG Chengzhi,et al.Charging and discharging strategy for coordinated optimization of regional electric vehicles[J].High voltage technology,2018,44(2):648-654.
[24] 欧阳聪，刘明波，林舜江，等.采用同步型交替方向乘子法的微电网分散式动态经济调度算法[J].电工技术学报，2017,32(5):134-142.OUYANG Cong,LIU Mingbo,LIN Shunjiang,et al.Decentralized dynamic economic dispatch algorithm of microgrids using synchronous alternating direction method of multipliers[J].Journal of Electrotechnics,2017,32(5):134-142.
[25] ZHAO Y Y,AN Y R,AI Q.Research on size and location of distributed generation with vulnerable node identification in the active distribution network[J].IET Generation,Transmission & Distribution,2014,8(11):1801-1809.
基本信息:
DOI：10.13928/j.cnki.wrahe.2023.07.005
中图分类号:TM73
引用信息:
[1]赵婷婷,吴刚勇,夏祥武,等.基于共享储能容量分配机制的配电网双层优化策略[J],2023,54(07):50-63.DOI:10.13928/j.cnki.wrahe.2023.07.005.
基金信息:
国网浙江省电力有限公司集体企业科技项目(2019-HUZJTKJ-19);; 国家自然科学基金项目(51907114)