主动配电网源荷协同优化控制策略研究
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摘要
针对主动配电网中间歇性可再生能源(光伏和风电)和具有与配电网管理系统互动的主动需求负荷的协同运行问题,提出了基于自适应扩散算法的源荷分布式协同优化控制策略。该策略应用自适应扩散算法构造自适应邻接矩阵和融合矩阵,作为加权因子对节点状态值进行迭代更新,获得全局一致边际成本信息,实现分布式电源功率等边际成本控制。以IEEE-14节点配电系统为例进行仿真分析控制系统的动态性能,结果表明,采用所提策略进行主动配电网有功功率的优化调度,能够实现源荷间的协同运行,并与一致性算法和PSO算法的计算结果进行比较,验证了所提方法的有效性和优越性。
To solve the problem of coordination operation of intermittent renewable generations(photovoltaic and wind power)and active load demands interaction with distribution network management system in active distribution network,a distributed coordination operation strategy based on adapt diffusion algorithm is proposed in this paper.In order to make the distribution generator meet the equal incremental cost principle,the proposed strategy use the adapt diffusion algorithm to construct the adaptive adjacency matrix and fusion matrix with the weighted factor,which are introduced to update the state value of nodes to obtain the equal incremental cost value.The IEEE14-bus distribution system is used to simulate and analyze dynamic performance of the system.The results show that the proposed strategy can realize the cooperative operation between source and load,and is compared with the results of the consensus algorithm and the PSO algorithm.The validity and superiority of the proposed method are verified.
To solve the problem of coordination operation of intermittent renewable generations(photovoltaic and wind power)and active load demands interaction with distribution network management system in active distribution network,a distributed coordination operation strategy based on adapt diffusion algorithm is proposed in this paper.In order to make the distribution generator meet the equal incremental cost principle,the proposed strategy use the adapt diffusion algorithm to construct the adaptive adjacency matrix and fusion matrix with the weighted factor,which are introduced to update the state value of nodes to obtain the equal incremental cost value.The IEEE14-bus distribution system is used to simulate and analyze dynamic performance of the system.The results show that the proposed strategy can realize the cooperative operation between source and load,and is compared with the results of the consensus algorithm and the PSO algorithm.The validity and superiority of the proposed method are verified.
引文
[1]赵波,王财胜,周金辉,等.主动配电网现状与未来发展[J].电力系统自动化,2014,38(18):125-135.
[2]范明天,张祖平,苏傲雪,等.主动配电系统可行技术的研究[J].中国电机工程学报,2013,33(22):12-18.
[3]王成山,王丹,周越.智能配电系统架构分析及技术挑战[J].电力系统自动化,2015,39(9):2-9.
[4]刘东,陈云辉,黄玉辉,等.主动配电网的分层能量管理与协调控制[J].中国电机工程学报,2014,34(31):5500-5506.
[5]蒲天骄,陈乃仕,王晓辉,等.主动配电网多源协同优化调度架构分析及应用设计[J].电力系统自动化,2016,40(1):17-23.
[6]Wu D,Tang F,Dragicevic T,et al.Autonomous active power control for islanded ac microgids with photovoltaic generation and energy storage system[J].IEEE Transactions on Energy Conversion.2014,29(4):882-892.
[7]Chandorkar M,Guerrero J M,Lee T L,et al.Advanced control architectures for intelligent microgrids Part I:decentralized and hierarchical control[J].IEEE Transactions on Industrial Electronics,2013,60(4):1254-1262.
[8]Colson C M,Nehrir M H.Comprehensive real-time microgrid power management and control with distributed agents[J].IEEE Transactions on Smart Grid,2013,4(1):617-627.
[9]Johannes S,Thomas S,Raisch J,et al.Voltage stability and reactive power sharing in inverter-based microgrids with consensus-based distributed voltage control[J].IEEE Transaction on Control Systems Technology,2016,24(1):96-109.
[10]吕振宇,吴在军,窦晓波,等.基于离散一致性的孤立直流微网自适应下垂控制[J].中国电机工程学报,2015,35(17):1397-4407.
[11]Gabriela H,Soummya K,Wu C.Consensus+innovations approach for distributed multiagent coordination in a microgrid[J].IEEETransactions on Smart Grid,2015,6(4):1893-1903.
[12]Xu Y,Li Z.Distributed optimal resource management based on the consensus algorithm in a microgrid[J].IEEE Transactions on Industrial Electronics,2015,62(4):2584-2592.
[13]Tu S,Sayed A H.On the influence of informed agents on learning and adaptation over networks[J].IEEE Transactions on signal processing,2013,61(6):1339-1359.
[14]张政保,姚少林,许鑫,等.基于扩散策略的实时分布式协作频谱检测算法[J].电子与信息时报,2015,37(12):2858-2865.
[2]范明天,张祖平,苏傲雪,等.主动配电系统可行技术的研究[J].中国电机工程学报,2013,33(22):12-18.
[3]王成山,王丹,周越.智能配电系统架构分析及技术挑战[J].电力系统自动化,2015,39(9):2-9.
[4]刘东,陈云辉,黄玉辉,等.主动配电网的分层能量管理与协调控制[J].中国电机工程学报,2014,34(31):5500-5506.
[5]蒲天骄,陈乃仕,王晓辉,等.主动配电网多源协同优化调度架构分析及应用设计[J].电力系统自动化,2016,40(1):17-23.
[6]Wu D,Tang F,Dragicevic T,et al.Autonomous active power control for islanded ac microgids with photovoltaic generation and energy storage system[J].IEEE Transactions on Energy Conversion.2014,29(4):882-892.
[7]Chandorkar M,Guerrero J M,Lee T L,et al.Advanced control architectures for intelligent microgrids Part I:decentralized and hierarchical control[J].IEEE Transactions on Industrial Electronics,2013,60(4):1254-1262.
[8]Colson C M,Nehrir M H.Comprehensive real-time microgrid power management and control with distributed agents[J].IEEE Transactions on Smart Grid,2013,4(1):617-627.
[9]Johannes S,Thomas S,Raisch J,et al.Voltage stability and reactive power sharing in inverter-based microgrids with consensus-based distributed voltage control[J].IEEE Transaction on Control Systems Technology,2016,24(1):96-109.
[10]吕振宇,吴在军,窦晓波,等.基于离散一致性的孤立直流微网自适应下垂控制[J].中国电机工程学报,2015,35(17):1397-4407.
[11]Gabriela H,Soummya K,Wu C.Consensus+innovations approach for distributed multiagent coordination in a microgrid[J].IEEETransactions on Smart Grid,2015,6(4):1893-1903.
[12]Xu Y,Li Z.Distributed optimal resource management based on the consensus algorithm in a microgrid[J].IEEE Transactions on Industrial Electronics,2015,62(4):2584-2592.
[13]Tu S,Sayed A H.On the influence of informed agents on learning and adaptation over networks[J].IEEE Transactions on signal processing,2013,61(6):1339-1359.
[14]张政保,姚少林,许鑫,等.基于扩散策略的实时分布式协作频谱检测算法[J].电子与信息时报,2015,37(12):2858-2865.