基于萤火虫算法的主动配电网优化调度
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摘要
主动配电网为高渗透率分布式可再生能源接入提供了有效途径。针对风能等可再生能源所固有的间歇性、波动性与随机性引起的功率波动问题,在配电网中引入储能系统作为可控负荷,建立包含风能与储能系统的主动配电网调度模型,该模型以储能系统的出力为变量;分别以平滑混合毛功率和混合净功率为目标,有效避免可再生能源接入对配电网造成的冲击。提出改进萤火虫算法求解主动配电网优化调度问题。仿真算例验证了所提模型与算法的有效性。
Active distribution network provides an effective way for the access of distribution renewable energy with high penetration. Aiming at the power fluctuation problem caused by the inherent intermittence,fluctuation,and randomness of wind energy,ESS(Energy Storage System) is introduced into distribution network as a controllable load,and a dispatch model of distribution network with wind energy and ESS is built,which takes the ESS output as its variable. Smoothing the hybrid gross output and hybrid net output are respectively taken as the objectives to effectively avoid the impact of renewable energy access on distribution network. An improved firefly algorithm is proposed to solve the optimal dispatch problem of active distribution network. Simulation example verifies the effectiveness of the proposed model and algorithm.
Active distribution network provides an effective way for the access of distribution renewable energy with high penetration. Aiming at the power fluctuation problem caused by the inherent intermittence,fluctuation,and randomness of wind energy,ESS(Energy Storage System) is introduced into distribution network as a controllable load,and a dispatch model of distribution network with wind energy and ESS is built,which takes the ESS output as its variable. Smoothing the hybrid gross output and hybrid net output are respectively taken as the objectives to effectively avoid the impact of renewable energy access on distribution network. An improved firefly algorithm is proposed to solve the optimal dispatch problem of active distribution network. Simulation example verifies the effectiveness of the proposed model and algorithm.
引文
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[12]HABIB S,KAMRAN M,RASHID U. Impact analysis of vehicle-togrid technology and charging strategies of electric vehicles on distribution networks-a review[J]. Journal of Power Sources,2015,277:205-214.
[13]李佳,刘天琪,李兴源,等.改进粒子群-禁忌搜索算法在多目标无功优化中的应用[J].电力自动化设备,2014,34(8):71-77.LI Jia,LIU Tianqi,LI Xingyuan,et al. Application of improved particle swarm-tabu search algorithm in multi-objective reactive power optimization[J]. Electric Power Automation Equipment,2014,34(8):71-77.
[14]YOUNES M,KHODJA F,KHERFANE R L. Multi-objective economic emission dispatch solution using hybrid FFA(Fire Fly Algorithm)and considering wind power penetration[J]. Energy,2014,67:595-606.
[15]LIANG R H,WANG J C,CHEN Y T,et al. An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration[J]. International Journal of Electrical Power&Energy Systems,2015,64:1088-1097.
[16]MARICHELVAM M K,PRABAHARAN T,YANG X S. A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems[J]. IEEE Transactions on Evolutionary Computation,2014,18(2):301-305.
[17]SINGH U,RATTAN M. Design of thinned concentric circular antenna arrays using firefly algorithm[J]. IET Microwaves,Antennas&Propagation,2014,8(12):894-900.
[18]吴雄,王秀丽,李骏,等.风电储能混合系统的联合调度模型及求解[J].中国电机工程学报,2013,33(13):10-17.WU Xiong,WANG Xiuli,LI Jun,et al. A joint operation model and solution for hybrid wind energy storage systems[J]. Proceedings of the CSEE,2013,33(13):10-17.
[2]MALIK O,HAVEL P. Active demand-side management system to facilitate integration of RES in low-voltage distribution networks[J].IEEE Transactions on Sustainable Energy,2013,5(2):673-681.
[3]熊雄,井天军,孙可,等.主动配电网下多微电网间功率协调优化[J].电力自动化设备,2018,38(6):15-21.XIONG Xiong,JING Tianjun,SUN Ke,et al. Power coordinated optimization among multi-microgrid in active distribution network[J].Electric Power Automation Equipment,2018,38(6):15-21.
[4]凌开元,赵乐冰,张新松,等.基于双储能系统的主动配电网储能配置[J].电力自动化设备,2018,38(5):171-176.LING Kaiyuan,ZHAO Lebing,ZHANG Xinsong,et al. Storage allocation of active distribution network based on double-storage system[J]. Electric Power Automation Equipment,2018,38(5):171-176.
[5]CHAMBA M S,ANO O. Economic dispatch of energy and reserve in competitive markets using meta-heuristic algorithms[J]. IEEE Latin America Transactions,2013,11(1):473-478.
[6]SRINIVASA R R,NARASIMHAM S V L,RAMALINGA R M,et al.Optimal network reconfiguration of large-scale distribution system using harmony search algorithm[J]. IEEE Transactions on Power Systems,2011,26(3):1080-1088.
[7]JAZEBI S,MOGHIMI H M,NAGHIZADEH R A. Distribution network reconfiguration in the presence of harmonic loads:optimization techniques and analysis[J]. IEEE Transactions on Smart Grid,2014,5(4):1929-1937.
[8]ABU-MOUTI F S,EL-HAWARY M E. Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm[J]. IEEE Transactions on Power Delivery,2011,26(4):2090-2101.
[9]VO D N,SCHEGNER P,ONGSAKUL W. Cuckoo search algorithm for non-convex economic dispatch[J]. IET Generation,Transmission&Distribution,2013,7(6):645-654.
[10]GAO M L,HE X H,LUO D S,et al. Object tracking using firefly algorithm[J]. IET Computer Vision,2013,7(4):227-237.
[11]NIKNAM T,AZIZIPANAH-ABARGHOOEE R,ROOSTA A. Reserve constrained dynamic economic dispatch:a new fast self-adaptive modified firefly algorithm[J]. IEEE Systems Journal,2012,6(4):635-646.
[12]HABIB S,KAMRAN M,RASHID U. Impact analysis of vehicle-togrid technology and charging strategies of electric vehicles on distribution networks-a review[J]. Journal of Power Sources,2015,277:205-214.
[13]李佳,刘天琪,李兴源,等.改进粒子群-禁忌搜索算法在多目标无功优化中的应用[J].电力自动化设备,2014,34(8):71-77.LI Jia,LIU Tianqi,LI Xingyuan,et al. Application of improved particle swarm-tabu search algorithm in multi-objective reactive power optimization[J]. Electric Power Automation Equipment,2014,34(8):71-77.
[14]YOUNES M,KHODJA F,KHERFANE R L. Multi-objective economic emission dispatch solution using hybrid FFA(Fire Fly Algorithm)and considering wind power penetration[J]. Energy,2014,67:595-606.
[15]LIANG R H,WANG J C,CHEN Y T,et al. An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration[J]. International Journal of Electrical Power&Energy Systems,2015,64:1088-1097.
[16]MARICHELVAM M K,PRABAHARAN T,YANG X S. A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems[J]. IEEE Transactions on Evolutionary Computation,2014,18(2):301-305.
[17]SINGH U,RATTAN M. Design of thinned concentric circular antenna arrays using firefly algorithm[J]. IET Microwaves,Antennas&Propagation,2014,8(12):894-900.
[18]吴雄,王秀丽,李骏,等.风电储能混合系统的联合调度模型及求解[J].中国电机工程学报,2013,33(13):10-17.WU Xiong,WANG Xiuli,LI Jun,et al. A joint operation model and solution for hybrid wind energy storage systems[J]. Proceedings of the CSEE,2013,33(13):10-17.