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电网技术  2015 

计及电动汽车和可再生能源不确定因素的多目标分布式电源优化配置

DOI: 10.13335/j.1000-3673.pst.2015.08.019, PP. 2188-2194

Keywords: 分布式电源,电动汽车,不确定性,多目标规划,改进量子粒子群

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Abstract:

大规模电动汽车(plug-inelectricvehicle,PEV)和风光等可再生能源发电并网使配电网分布式电源(distributedgeneration,DG)定容选址需考虑更多的不确定因素,为此,利用机会约束规划方法建立了以环境效益、供电可靠性、DG总费用和有功损耗最优为目标的DG优化配置模型,并提出蒙特卡洛模拟嵌入改进量子粒子群(improvedquantumparticleswarmoptimizationalgorithm-MonteCarlosimulation,IQPSO-MCS)的方法进行求解。在优化配置中考虑了风电、光伏、微型燃气轮机3种DG的选址和定容;并针对输出功率不确定的风力发电、光伏发电和电动汽车建立了概率模型,利用蒙特卡洛模拟法将随机性问题转化为确定性问题,实现含不确定因素的配电网随机潮流计算;最后由带自适应变异机制的IQPSO算法全局寻优得到最优配置方案。以IEEE33节点测试配电系统为例,验证了所提模型和方法的有效性和实用性。

References

[1]  胡丽娟,刘科研,盛万兴,等.含随机出力分布式电源的配电网静态电压稳定快速概率评估方法[J].电网技术,2014,38(10):2766-2771.Hu Lijuan,Liu Keyan,Sheng Wanxing,et al.Fast probabilistic evaluation of static voltage stability in active distribution network considering random output from distributed generations[J].Power System Technology,2014,38(10):2766-2771(in Chinese).
[2]  董伟杰,白晓民,朱宁辉,等.间歇式电源并网环境下电能质量问题研究[J].电网技术,2013,37(5):1265-1271.Dong Weijie,Bai Xiaomin,Zhu Ninghui,et al.Discussion on the power quality under grid-connection of intermittent power sources[J].Power System Technology,2013,37(5):1265-1271(in Chinese).
[3]  蔡德福,钱斌,陈金富,等.含电动汽车充电负荷和风电的电力系统动态概率特性分析[J].电网技术,2013,37(3):590-596.CaiDefu,Qian Bin,Chen Jinfu,et al.Analysis on dynamic probabilistic characteristic of power grid connected with electric vehicle charging load and wind power[J].Power System Technology,2013,37(3):590-596(in Chinese).
[4]  方陈,张翔,程浩忠,等.主动管理模式下含分布式发电的配电网网架规划[J].电网技术,2014,38(4):823-829.Fang Chen,Zhang Xiang,Cheng Haozhong,et al.Framework planning of distribution network containing distributed generation considering active management[J].Power System Technology,2014,38(4):823-829(in Chinese).
[5]  张节潭,程浩忠,姚良忠,等.布式风电源选址定容规划研究[J].中国电机工程学报,2009,29(16):1-7.Zhang Jietan,Cheng Haozhong,Yao Liangzhong,et al.Study on siting and sizing of distributed wind generation[J].Proceedings of the CSEE,2009,29(16):1-7(in Chinese).
[6]  Li R,Ma H,Wang F,et al.Game optimization theory and application in distribution system expansion planning,including distributed generation[J].Energies,2013,6(2):1101-1124.
[7]  栗然,申雪,钟超,等.考虑环境效益的分布式电源多目标规划[J].电网技术,2014,38(6):1471 -1478.Li Ran,Shen Xue,Zhong Chao,et al.Multi-objective planning of distributed generation considering environmental benefit[J].Power System Technology,2014,38(6):1471-1478 (in Chinese).
[8]  Evangelopoulos V A,Georgilakis P S.Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm[J].IET Generation,Transmission and Distribution,2014,8(3):389-400.
[9]  Liu Zhipeng,Wen Fushuan,Gerard Ledwich.Optimal siting and sizing of distributed generators in distribution systems considering uncertainties[J].IEEE Transactions on Power Delivery,2011,26(4):2541-2551.
[10]  刘柏良,黄学良,李军,等.含分布式电源及电动汽车充电站的配电网多目标规划研究[J].电网技术,2015,39(2):450-456.Liu Bailiang,Huang Xueliang,Li Jun,et al.Multi-objective planning of distribution network containing distributed generation and electric vehicle charging stations[J].Power System Technology,2015,39(2):450-456(in Chinese).
[11]  Shaaban M F,El-Saadany E F.Accommodating high penetrations of PEVs and renewable DG considering uncertainties in distribution systems[J].IEEE Transactions on Power Systems,2014,29(1):259-270.
[12]  王建,吴奎华,刘志珍,等.电动汽车充电对配电网负荷的影响及有序控制研究[J].电力自动化设备,2013,33(8):47-52.Wang Jian,Wu Kuihua,Liu Zhizhen,et al.Impact of electric vehicle charging on distribution network load and coordinated control[J].Electric Power Automation Equipment,2013,33(8):47-52(in Chinese).
[13]  葛少云,王龙,刘洪,等.计及电动汽车入网的峰谷电价时段优化模型研究[J].电网技术,2013,37(8):2316-2321.Ge Shaoyun,Wang Long,Liu Hong,et al.An optimization model of peak-valley price time-interval considering vehicle-to-grid[J].Power System Technology,2013,37(8):2316-2321(in Chinese).
[14]  钱科军,袁越,石晓丹,等.分布式发电的环境效益分析[J].中国电机工程学报,2008,28(29):11-15.Qian Kejun,Yuan Yue,Shi Xiaodan,et al.Environmental benefits analysis of distributed generation[J].Proceedings of the CSEE,2008,28(29):11 -15(in Chinese).
[15]  Aghaei J,Muttaqi K M,Azizivahed A,et al.Distribution expansion planning considering reliability and security of energy using modified PSO (particle swarm optimization) algorithm[J].Energy,2014,65(2):398-411.
[16]  刘志鹏,文福拴,薛禹胜,等.计及可入网电动汽车的分布式电源最优选址和定容[J].电力系统自动化,2011,35(18):11-16.Liu Zhipeng,Wen Fushuan,XueYusheng,et al.Optimal siting and sizing of distributed generators considering plug-in electric vehicles[J].Automation of Electric Power Systems,2011,35(18):11-16(in Chinese).
[17]  Sun J,Wu X,Palade V,et al.Convergence analysis and improvements of quantum-behaved particle swarm optimization[J].Information Sciences,2012,193(1):81-103.
[18]  Zhang C,Yi Z.Scale-free fully informed particle swarm optimization algorithm[J].Information Sciences,2011,181(20):4550-4568.
[19]  陈贵敏,贾建援,韩琪.粒子群优化算法的惯性权值递减策略研究[J].西安交通大学学报,2006,40(1):53-56.Chen Guimin,Jia Jianyuan,Han Qi.Study on the strategy particle swarm of decreasing inertia weight in optimization algorithm[J].Journal of Xi'an Jiaotong University,2006,40(1):53-56(in Chinese).
[20]  Mahmood Sadeghi,Mohsen Kalantar.Multi types DG expansion dynamic planning in distribution system under stochastic conditions using covariance matrix adaptation evolutionary strategy and Monte-Carlo simulation[J].Energy Conversion and Management,2014,78(13):455-471.

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