
国网江苏连云港供电公司
Published:2026
移动端阅览
顾阳, 顾佳琪, 李光熹, et al. 基于不确定场景下的分布式储能系统随机优化模型[J]. 2026, 24(2): 38-49.
顾阳, 顾佳琪, 李光熹, et al. 基于不确定场景下的分布式储能系统随机优化模型[J]. 2026, 24(2): 38-49. DOI: 10.16543/j.2095-641x.electric.power.ict.2026.02.06.
大规模可再生能源及柔性负荷的接入使得配电网源荷侧的不确定性问题不容忽视,同时高渗透率的分布式光伏也对配电网的安全稳定运行带来了更大的挑战。文章以配电台区分布式光伏与储能系统为研究对象,针对分布式光伏以及用户负荷预测的不确定性,提出一种基于K-means算法多场景模拟的分布式储能系统随机优化运行模型,采用拉丁超立方采样法建立光-荷时序模型,并开展场景模拟。在K-means聚类算法基础上结合Kantorovich思想提出改进的场景削减方法的2个过程。以经济效益、电压偏差和负荷波动为指标建立多目标双层运行-规划模型,运用改进的多目标粒子群优化算法对模型求解,将模拟退火算法中的接收准则嵌入到粒子群算法更新规则中避免其早熟收敛,求得全局最优配置方案。最后,通过IEEE33节点的配电网仿真测试,分析验证了所建模型和所提方法的有效性与合理性。
Zhang Tao,Yang Jianhua,Jin Kaiyuan,Jing Tianjun.Local power consumption method of distributed photovoltaic generation in rural distribution network based on blockchain[J].IET Generation, Transmission & Distribution,2023.
Wu Honglin,Ding Dong,She Yan,Wang Liyong,Ji Bin,Chen Tao.Topology Optimization of Regional Power Grid Under Large-Scale Access of Distributed Photovoltaic Power Generation[J].Journal of Nanoelectronics and Optoelectronics,2022.
Shahab Karamdel,Mohsen Parsa Moghaddam.Robust expansion co-planning of electricity and natural gas infrastructures for multi energy-hub systems with high penetration of renewable energy sources[J].IET Renewable Power Generation,2019.
Peijie Lin,Zhouning Peng,Yunfeng Lai,Shuying Cheng,Zhicong Chen,Lijun Wu.Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets[J].Energy Conversion and Management,2018.
Li Yang,Liu Weijia,Shahidehpour Mohammad,Wen Fushuan,Wang Ke,Huang Yuchun.Optimal Operation Strategy for Integrated Natural Gas Generating Unit and Power-to-Gas Conversion Facilities[J].IEEE Transactions on Sustainable Energy,2018.
Dolatabadi Amirhossein,Mohammadi ivatloo Behnam,Abapour Mehdi,Tohidi Sajjad.Optimal Stochastic Design of Wind Integrated Energy Hub[J].IEEE Transactions on Industrial Informatics,2017.
Xueqian Fu,Qinglai Guo,Hongbin Sun,Xiurong Zhang,Li Wang.Estimation of the failure probability of an integrated energy system based on the first order reliability method[J].Energy,2017.
Samaneh Pazouki,Mahmoud-Reza Haghifam.Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty[J].International Journal of Electrical Power and Energy Systems,2016.
Defu Cai,Dongyuan Shi,Jinfu Chen.Probabilistic load flow computation using Copula and Latin hypercube sampling[J].IET Generation, Transmission & Distribution,2014.
Ren, Z.,Zhao, X.,Li, W..Chronological Probability Model of Photovoltaic Generation[J].IEEE Transactions on Power Systems: A Publication of the Power Engineering Society,2014.
Chen, Y.,Wen, J.,Cheng, S..Probabilistic Load Flow Method Based on Nataf Transformation and Latin Hypercube Sampling[J].IEEE transactions on sustainable energy,2013.
康田园,刘科研,贾东梨,叶学顺.计及分布式电源出力不确定性的虚拟电厂鲁棒优化调度[J].电力信息与通信技术,2024(02).
张渊博,杨毅强,蒲维,宋弘.源–荷不确定场景下分布式电源与储能联合规划策略[J].现代电力,2024(05).
王华伟,程小虎,赵蒙蒙,张栋,周劲松,张沛.面向分布式光伏消纳的中压配电网储能规划模型和求解方法[J].电力建设,2023(09).
李建林,姜冶蓉,马速良,崔宜琳,郭霄宇.新型电力系统下分布式储能应用场景与优化配置[J].高电压技术,2024(01).
杨帆,胡源,张梁,徐政,吴志,顾伟.考虑孤岛时间不确定性的配电网分布式储能选址定容[J].电力科学与技术学报,2023(01).
刘秋华,杨圣城,刘鑫.分布式储能商业模式分析与展望[J].电力需求侧管理,2023(01).
方磊,薛云霞,池宇琪,金峰,刘明,陈兵兵,刘俊.分布式储能运行规划一体的多目标选址定容方法[J].智慧电力,2022(11).
张卫明,李军,王献志,郭少飞,于礼瑞.考虑最大接入容量的分布式电源及储能选址定容规划方法[J].河北电力技术,2022(04).
周翔,陈盛,张津源,袁鑫,王新迎,王继业.基于改进深度确定性策略梯度算法的微网优化调度研究[J].电力信息与通信技术,2022(07).
徐岩,张建浩,张荟.含冷、热、电、气的园区综合能源系统选址定容规划案例分析[J].太阳能学报,2022(01).
赵立军,张秀路,韩丽维,孙永辉,王俊生,刘自发,于普洋.基于多场景的配电网分布式光伏及储能规划[J].现代电力,2022(04).
李翠萍,东哲民,李军徽,李红军,周恒宇,金强.提升配电网新能源消纳能力的分布式储能集群优化控制策略[J].电力系统自动化,2021(23).
张晓花,王晓亮,廖重阳,朱陈松,李瀚,刘应,谈天.基于一致性算法的储能单元分布式优化调度策略[J].电力需求侧管理,2021(03).
ZHANG Jian,CHO Heejin,MAGO Pedro J.,ZHANG Hongguang,YANG Fubin.Multi-Objective Particle Swarm Optimization(MOPSO) for a Distributed Energy System Integrated with Energy Storage[J].Journal of Thermal Science,2019(06).
董晓晶,刘洪,宫建锋,孙昊,韩一鸣.考虑多类型综合需求响应的电热耦合能源系统可靠性评估[J].电力建设,2018(11).
刘一欣,郭力,王成山.微电网两阶段鲁棒优化经济调度方法[J].中国电机工程学报,2018(14).
王威,王晴,虞殷树,谢宇哲,朱耿,刘俊宏.分布式电源接入配电网的极限容量计算研究[J].电力信息与通信技术,2017(03).
高红均,刘俊勇.考虑不同类型DG和负荷建模的主动配电网协同规划[J].中国电机工程学报,2016(18).
向育鹏,卫志农,孙国强,孙永辉,沈海平.基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J].电网技术,2015(01).
吴小刚,刘宗歧,田立亭,丁冬,杨水丽.基于改进多目标粒子群算法的配电网储能选址定容[J].电网技术,2014(12).
0
Views
1
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621