RESEARCH ON RECONFIGURATION OF DISTRIBUTION NETWORK WITH PHOTOVOLTAIC GENERATION BASED ON IMPROVED GROUP SEARCH OPTIMIZER

Li Cong; Qin Lijun; Duan Hui

doi:10.19912/j.0254-0096.tynxb.2020-0834

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 213-218. DOI: 10.19912/j.0254-0096.tynxb.2020-0834

Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

RESEARCH ON RECONFIGURATION OF DISTRIBUTION NETWORK WITH PHOTOVOLTAIC GENERATION BASED ON IMPROVED GROUP SEARCH OPTIMIZER

Li Cong¹, Qin Lijun¹, Duan Hui²

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Abstract

With the increasing penetration of the photovoltaic （PV） power generation in the distribution network, the fluctuation and intermittence characteristic of PV has imposed an enormous effect on the reliability and economy of distribution network reconfiguration. To tackle this problem, an optimal reconfiguration strategy of distribution networks with photovoltaic generation is proposed. Firstly, the minimization of network loss is considered as the objective function to model the distribution network with photovoltaic generation mathematically. Secondly, the fuzzy theory is introduced to improve the group search optimizer. Then, the improved group search optimizer is applied to the optimization of the distribution network reconstruction path. Finally, a case study is carried out to verify the effectiveness of the proposed method. Results show that the method has the advantages of fast convergence speed, short optimization time, and fewer action times, which effectively improves the operation economy of the distribution network.

Key words

photovoltaic generation / group search optimizer（GSO） / distribution network reconfiguration / fuzzy theory

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Li Cong, Qin Lijun, Duan Hui. RESEARCH ON RECONFIGURATION OF DISTRIBUTION NETWORK WITH PHOTOVOLTAIC GENERATION BASED ON IMPROVED GROUP SEARCH OPTIMIZER[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 213-218 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0834

References

[1] 刘颖, 秦文萍, 王磊, 等. 可减少光伏弃光量的低压配电网并网逆变器电压控制策略[J]. 太阳能学报, 2020, 41(8): 151-159.
LIU Y, QIN W P, WANG L, et al. Voltage control strategy of PV grid-connected inverter in low voltage distribution network with reduction on amount of light discarded[J]. Acta energiae solaris sinica, 2020, 41(8): 151-159.
[2] 黄红程, 顾洁, 方陈.风光资源特性相关性对配网重构的影响[J]. 电力系统及其自动化学报, 2017, 29(5): 83-90.
HUANG H C, GU J, FANG C.Impact of correlations between wind and solar resources characteristics on distribution network reconfiguration[J]. Proceedings of the CSU-EPSA, 2017, 29(5): 83-90.
[3] 王瑞峰, 侯成滨.采用特性指标聚类和改进萤火虫算法的配电网动态重构[J]. 太阳能学报, 2018, 39(11): 3193-3201.
WANG R F,HOU C B.Dynamic reconstruction of distribution networks based on pattern index clustering and improved glowworm swarm optimization algorithm[J]. Acta energiae solaris sinica, 2018, 39(11): 3193-3201.
[4] 彭怡.分布式电源优化配置及配电网重构研究[D]. 重庆: 重庆大学, 2009.
PENG Y.Study on optimal allocation of distributed generation and reconfiguration of distribution network[D]. Chongqing: Chongqing University, 2009.
[5] 李蓓, 李兴源.分布式发电及其对配电网的影响[J]. 国际电力, 2005(3): 49-53.
LI B, LI X Y.Distributed generation sources and their effects on distribution networks[J]. International electric power for China, 2005(3): 49-53.
[6] 周卫, 张尧, 夏成军, 等. 分布式发电对配电网继电保护的影响[J]. 电力系统保护与控制, 2010, 38(3): 1-5,10.
ZHOU W, ZHANG Y, XIA C J,et al. Effect of distributed generation on relay protection of distributed system[J]. Power system protection and control, 2010, 38(3): 1-5, 10.
[7] 赵嘉玉, 韩肖清, 梁琛, 等. 隶属函数与欧氏距离相结合的配电网优化重构[J]. 电网技术, 2017, 41(11): 1-8.
ZHAO J Y, HAN X Q, LIANG C, et al. Optimal distribution network reconfiguration combining fuzzy membership with euclidean distance[J]. Power system technology, 2017, 41(11): 1-8.
[8] 李扬, 韦钢, 马钰, 等. 含电动汽车和分布式电源的主动配电网动态重构[J]. 电力系统自动化, 2018, 42(5): 102-110.
LI Y, WEI G, MA Y, et al. Dynamic reconfiguration of active distribution network considering electric vehicles and distributed generations[J]. Automation of electric power systems, 2018, 42(5): 102-110.
[9] KASHEM M A, GANAPATHY V, JASMON G B.Network reconfiguration for enhancement of voltage stability in distribution networks[J]. IEEE proceedings-generation, transmission and distribution, 2000, 147(3): 171-175.
[10] CIVANLAR S, GRAINGER J J, YIN H, et al. Distribution feeder reconfiguration for loss reduction[J]. IEEE transactions on power delivery, 1988, 3(3): 1217.
[11] 李鹏, 江辉, 孙芊, 等. 基于群搜索优化算法的配电网重构[J]. 电网技术, 2010, 34(12): 114-118.
LI P, JIANG H, SUN Q, et al. Distribution network reconfiguration based on group search optimizer[J]. Power system technology, 2010, 34(12): 114-118.
[12] 周湶, 解慧力, 郑柏林, 等. 基于混合算法的配电网故障重构与孤岛运行配合[J]. 电网技术, 2015, 39(1): 136-142.
ZHOU Q, XIE H L, ZHENG B L, et al. Hybrid algorithm based coordination between distribution network fault reconfiguration and islanding operation[J]. Power system technology, 2015, 39(1): 136-142.
[13] 吴华仪.考虑风光荷不确定性的主动配电网灵活性运行研究[D]. 广州: 华南理工大学, 2019.
WU H Y.Study on flexible operation of active distribution network considering uncertainties of wind turbines, photovoltaics and load[D]. Guangzhou: South China University of Technology, 2019.
[14] BOEHM B W.Software cost estimation with cocomo Ⅱ[M]. Upper Saddle River: Prentice Hall, 2000.
[15] 李丽娟, 黄振华, 刘锋.用于结构优化设计的改进多目标群搜索算法[J]. 工程设计学报, 2013, 12(3): 11-17.
LI L J, HUANG Z H, LIU F.An improved multi-objective group search optimization algorithm applied to structural optimal design[J]. Chinese journal of engineering design, 2013, 12(3): 11-17.
[16] 任凤鸣, 王春, 李丽娟.多目标群搜索优化算法及其在结构设计中的应用[J]. 广西大学学报(自然科学版), 2010, 35(2): 216-221.
REN F M,WANG C,LI L J.A multi-objective group search optimizer and its application in structural optimal design[J]. Journal of Guangxi University(natural science edition), 2010, 35(2): 216-221.
[17] HE S, WU Q H, SAUNDERS J R.Group search optimizer:An optimization algorithm inspired by animal searching behavior[J]. IEEE transactions on evolutionary computation, 2009, 13(5): 973-990.
[18] 赵晶晶.含分布式发电的配电网优化运行研究[D]. 重庆: 重庆大学, 2009.
ZHAO J J.Study on distribution network optimal operation with grid-connected distributed generation[D]. Chongqing: Chongqing University, 2009.
[19] 罗毅, 千雨乐.基于相空间重构和小波神经网络的光伏阵列发电量预测[J]. 太阳能学报, 2014, 35(6): 992-997.
LUO Y, QIAN Y L.Power generation forecast of PV array on phase space reconstruction and wavelet neural network[J]. Acta energiae solaris sinica, 2014, 35(6): 992-997.