王启明,夏坤,焦平洋,张培杰,董金龙,李鹏
WANG Qiming,XIA Kun,JIAO Pingyang,ZHANG Peijie,DONG Jinlong,LI Peng

• 1:国网山东省电力公司莱芜供电公司
• 2:山东大学电气工程学院

摘要(Abstract)：

随着分布式光伏渗透率的逐年提高，光伏机组的有序扩张与配套储能的优化配置已迫在眉睫。现有研究未能计及城区、乡村配电网光储资源分布及负荷需求的差异。在此背景下，提出一种基于目标级联分析算法的城乡多区域配电网光储设备分布式协同规划模型。首先，考虑城区、乡村配电网光储资源分布及负荷需求的差异，针对空间位置相近的多区域城乡配电网，建立光储设备协同规划模型。其次，基于分解建模原理实现多区域协同规划模型的解耦，采用目标级联分析算法实现分布式并行迭代求解。最后，利用包含6个配电网的典型算例系统对所提模型和算法进行验证。结果表明：所提模型能够统筹规划城乡多区域配电网内的光储设备，获得经济效益更优、对上级电网影响更小的优化配置方案。
As the penetration of distributed photovoltaics(DPV) increases year by year, the orderly expansion of PV units and the optimal allocation of supporting energy storage devices have become urgent. Existing research has failed to account for the differences in the distribution of PV and energy storage resources, as well as load demands, in urban and rural distribution networks. In this context, a distributed collaborative planning model for PV and energy storage devices in urban and rural distribution networks is proposed, based on the target cascade analysis method. First, the differences in the distribution of PV and energy storage resources and load demands in urban and rural distribution networks are considered, and a collaborative planning model for PV and energy storage devices is established for rural distribution networks and their adjacent urban distribution networks. Second, the decomposition modeling is applied to decouple the collaborative planning model, and the target cascade analysis method is used for distributed parallel iterative solving. Finally, the proposed model and the method are validated using a typical example system consisting of six distribution networks. The results show that the proposed model can be employed for coordinated planning of PV and energy storage devices across urban and rural distribution networks, achieving a more economically beneficial optimal configuration scheme that has less impact on the higher-level grid.

关键词(KeyWords)： 配电网;分布式光伏;储能设备;优化配置;目标级联分析算法
distribution networks;DPV;energy storage device;optimal allocation;target cascade analysis method

Abstract:

Keywords:

基金项目(Foundation): 山东省自然科学基金项目（ZR2022QE145）;; 国网山东省电力公司科技项目（49061224C001）

作者(Author): 王启明,夏坤,焦平洋,张培杰,董金龙,李鹏
WANG Qiming,XIA Kun,JIAO Pingyang,ZHANG Peijie,DONG Jinlong,LI Peng

DOI: 10.19585/j.zjdl.202504010

参考文献(References)：

• [1]段明辉，乞胜静，王大成.分布式光伏接入导致配电网电压越限问题的研究[J].农村电气化，2024(10):41-46.DUAN Minghui,QI Shengjing,WANG Dacheng. Study on the problem of voltage exceeding limit in distribution network caused by distributed photovoltaic access[J].Rural Electrification,2024(10):41-46.
• [2]丁明，王伟胜，王秀丽，等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报，2014,34(1):1-14.DING Ming,WANG Weisheng,WANG Xiuli,et al.A review on the effect of large-scale PV generation on power systems[J].Proceedings of the CSEE,2014,34(1):1-14.
• [3]唐西胜，李伟，沈晓东.面向新型电力系统的储能规划方法研究进展及展望[J].电力系统自动化，2024,48(9):178-191..TANG Xisheng,LI Wei,SHEN Xiaodong.Research progress and prospect of energy storage planning method for new power system[J].Automation of Electric Power Systems,2024,48(9):178-191.
• [4]叶洁，张宏程，樊树龙.武威市某光伏治沙示范园区储能配套比例研究[J].农村电气化，2024(4):6-9.YE Jie,ZHANG Hongcheng,FAN Shulong. Study on matching proportion of energy storage in a photovoltaic sand control demonstration park in Wuwei city[J]. Rural Electrification,2024(4):6-9.
• [5]李光肖，刘宗杰，何召慧，等.计及减碳效益的高比例光伏农村配电网储能双模式自适应优化调度[J/OL].现代电力：1-10(2024-05-06)[2024-08-10]. https：//doi. org/10.19725/j.cnki.1007-2322.2023.0213.LI Guangxiao,LIU Zongjie,HE Zhaohui,et al.Dual-mode adaptive optimal dispatch strategy for ESS in rural distribution networks with high proportion of PVs considering carbon efficiency[J/OL]. Modern Electric Power:1-10(2024-05-06)[2024-08-10]. https：//doi. org/10.19725/j.cnki.1007-2322.2023.0213.
• [6] BULLICH-MASSAGUéE,CIFUENTES-GARCíA F J,GLENNY-CRENDE I,et al.A review of energy storage technologies for large scale photovoltaic power plants[J].Applied Energy,2020,274:115213.
• [7] MOHAMAD F,TEH J,LAI C M.Optimum allocation of battery energy storage systems for power grid enhanced with solar energy[J].Energy,2021,223:120105.
• [8]谢桦，刘哲，雷博，等.计及全生命周期成本的公交光伏充电站储能优化配置方法[J].电力自动化设备，2024,44(7):165-172.XIE Hua,LIU Zhe,LEI Bo,et al.Energy storage optimal allocation method for public transportation photovoltaic charging station considering whole life cycle cost[J].Electric Power Automation Equipment,2024,44(7):165-172.
• [9]易建波，胡猛，王泽宇，等.提升光储充电站运行效率的多目标优化配置策略[J].电力系统自动化，2024,48(14):100-109.YI Jianbo,HU Meng,WANG Zeyu,et al.Multi-objective optimal configuration strategy for improving operation efficiency of photovoltaic energy storage charging stations[J].Automation of Electric Power Systems,2024,48(14):100-109.
• [10]邱燕超.“整县推进”赋能分布式光伏新发展[N].中国电力报，2022-02-09(002).
• [11]王雯沁，高红均，王仁浚，等.考虑分布式电源支撑与农业设施协调的配电网分布鲁棒优化[J].电力系统自动化，2023,47(21):89-98.WANG Wenqin,GAO Hongjun,WANG Renjun,et al.Distributionally robust optimization of distribution network considering distributed generator support and agricultural facility coordination[J]. Automation of Electric Power Systems,2023,47(21):89-98.
• [12]李芸漫，高红均，李海波，等.考虑综合能源站柔性调控作用的城市配电网多阶段规划方法[J].电力自动化设备，2022,42(1):45-54.LI Yunman,GAO Hongjun,LI Haibo,et al. Multi-stage planning method for urban distribution network considering flexible regulation of integrated energy station[J].Electric Power Automation Equipment,2022,42(1):45-54
• [13]赵晋泉，张振伟，姚建国，等.基于广义主从分裂的输配电网一体化分布式无功优化方法[J].电力系统自动化，2019,43(3):108-115.ZHAO Jinquan,ZHANG Zhenwei,YAO Jianguo,et al.Heterogeneous decomposition based distributed reactive power optimization method for global transmission and distribution network[J].Automation of Electric Power Systems,2019,43(3):108-115.
• [14] GUO H D,ZHENG C Y,IU H H C,et al.A critical review of cascading failure analysis and modeling of power system[J]. Renewable and Sustainable Energy Reviews,2017,80:9-22.
• [15] MAKHDOUMI A,OZDAGLAR A.Convergence rate of distributed ADMM over networks[J].IEEE Transactions on Automatic Control,2017,62(10):5082-5095.
• [16]张强，赵晋泉，戴则梅，等.基于目标级联分析的输配电网黑启动分布式协同优化方法[J].电力系统自动化，2021,45(3):111-120.ZHANG Qiang,ZHAO Jinquan,DAI Zemei,et al.Distributed coordinated optimization method for black-start of transmission and distribution networks based on analytical target cascading[J]. Automation of Electric Power Systems,2021,45(3):111-120.
• [17] QU T,HUANG G Q,CHEN X,et al.Extending analytical target cascading for optimal supply chain network configuration of a product family[J]. International Journal of Computer Integrated Manufacturing,2009,22(11):1012-1023.
• [18]张旋，张玉敏，吉兴全，等.计及电-气-热综合能源系统的输配协同优化调度[J].电网技术，2022,46(11):4256-4270.ZHANG Xuan,ZHANG Yumin,JI Xingquan,et al.Synergetic optimized scheduling of transmission and distribution network with electricity-gas-heat integrated energy system[J].Power System Technology,2022,46(11):4256-4270.
• [19]张旋，张玉敏，吉兴全，等.基于目标级联分析法的输电网结构优化[J].电力自动化设备，2023,43(2):218-224.ZHANG Xuan,ZHANG Yumin,JI Xingquan,et al.Optimal transmission switching based on analytical target cascading method[J].Electric Power Automation Equipment,2023,43(2):218-224.
• [20]李捷，余涛，潘振宁.基于强化学习的增量配电网实时随机调度方法[J].电网技术，2020,44(9):3321-3330.LI Jie,YU Tao,PAN Zhenning.Real-time stochastic dispatch method for incremental distribution network based on reinforcement learning[J].Power System Technology,2020,44(9):3321-3330.
• [21] BARAN M E,WU F F.Network reconfiguration in distribution systems for loss reduction and load balancing[J].IEEE Transactions on Power Delivery,1989,4(2):1401-1407.
• [22] LIU J,CHENG H Z,ZENG P L,et al.Decentralized stochastic optimization based planning of integrated transmission and distribution networks with distributed generation penetration[J].Applied Energy,2018,220:800-813.
• [23] MICHELENA N F,PARK H,PAPALAMBROS P Y.Convergence properties of analytical target cascading[J].AIAA Journal,2003,41(5):897-905.
• [24] CHEN R Z,SUN H B,GUO Q L,et al. Profit-seeking energy-intensive enterprises participating in power system scheduling:model and mechanism[J]. Applied Energy,2015,158:263-274.
• [25] BERTSEKAS D P.Nonlinear Programming[M].2nd Edition.Belmont,MA,USA:Athena Scientific,2003.