考虑源网荷互动的虚拟发电厂分布式协同控制
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摘要
随着新能源智能配电网的快速发展,源-网-荷的互动变得越来越频繁,而虚拟发电厂以其灵活的组成结构,通过充分利用先进的广域量测技术、分布式电源管理技术、信息通信技术、馈线自动化技术等手段,克服了发电厂和用户侧之间的物理界限。为了克服高渗透率新能源对虚拟发电厂并网造成的挑战,提出了一种基于多智能体系统的分布式协同优化控制策略。在通信网络中,邻居智能体间进行信息交换,应用一致性算法进行二级优化控制,修正本地下垂控制的参考电压和频率,实现了各分布式设备有功功率的精确分配,减少了通信时间。
With the rapid development of new energy in smart distribution grid,the source-network-load interaction becomes more and more frequent. However,with its flexible composition,virtual power plants(VPPs)make full use of advanced wide-area measurement technology and distributed power management technology,information and communication technology,feeder automation technology and other means to overcome the physical boundaries between virtual power plants and customers. In order to overcome the challenge posed by the high-permeability new energy to the virtual power plant,a distributed cooperative optimization control strategy was presented based on multiagent system. In the communication network,the neighboring agents exchanged information and applied the secondorder optimal control of the consistency algorithm to correct the reference voltage and frequency of the local droop control,which would realize the accurate distribution of the active power for each distributed device and reduced the communication time.
With the rapid development of new energy in smart distribution grid,the source-network-load interaction becomes more and more frequent. However,with its flexible composition,virtual power plants(VPPs)make full use of advanced wide-area measurement technology and distributed power management technology,information and communication technology,feeder automation technology and other means to overcome the physical boundaries between virtual power plants and customers. In order to overcome the challenge posed by the high-permeability new energy to the virtual power plant,a distributed cooperative optimization control strategy was presented based on multiagent system. In the communication network,the neighboring agents exchanged information and applied the secondorder optimal control of the consistency algorithm to correct the reference voltage and frequency of the local droop control,which would realize the accurate distribution of the active power for each distributed device and reduced the communication time.
引文
[1]夏榆杭,刘俊勇.基于分布式发电的虚拟发电厂研究综述[J].电力自动化设,2016,36(4):100-106.
[2]艾芊,刘思源,吴任博,等.能源互联网中多代理系统研究现状与前景分析[J].高电压技术,2016,42(9):2697-2706.
[3]张泽宇,张孝顺,余涛.孤岛智能配电网下的快速自动发电控制机组一致性协同控制算法[J].控制理论与应用,2016,33(5):599-607.
[4]高扬,艾芊,郝然,等.交直流混合电网的多智能体自律分散控制[J].电网技术,2017,41(4):1158-1164.
[5]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.
[6]李国栋,葛磊蛟,刘创华,等.主动配电网PQMT一致性入网检测平台构建[J].电气传动,2015,45(12):65-69.
[7]刘继春,唐虎,向月,等.考虑多个虚拟发电厂参与的多阶段市场交易方法[J].电力建设,2017,38(3):137-144.
[8]艾欣,周树鹏,赵阅群.含虚拟发电厂的电力系统优化运行与竞价策略研究[J].中国电机工程学报,2016,36(23):6351-6362.
[9]张孝顺,余涛.互联电网AGC功率动态分配的虚拟发电部落协同一致性算法[J].中国电机工程学报,2015,35(15):3750-3759.
[10]瞿丽,杨富文,邱全伟.基于H∞的分布式光伏并网系统的协同跟踪控制[J].电气传动,2016,46(9):44-47.
[11]刘显茁,郑泽东,李永东.采用电力电子变压器的多端口能源路由器[J].电气传动,2016,46(4):80-83.
[12]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.
[13]陈娟,黄元生,鲁斌.区域能源互联网信息物理建模及控制策略[J].电力自动化设备,2016,36(12):1-10.
[14]王璟,王利利,林济铿.能源互联网结构形态及技术支撑体系研究[J].电力自动化设备,2017,37(4):1-10.
[15]齐琛,汪可友,李国杰,等.交直流混合主动配电网的分层分布式优化调度[J].中国电机工程学报,2017,37(7):1909-1917.
[16]刘吉臻,李明扬,房方,等.虚拟发电厂研究综述[J].中国电机工程学报,2014,34(29):5103-5111.
[17]Li C,Savaghebi M,Guerrero J M,et al.Operation Cost Minimization of Droop-controlled AC Microgrids Using Multiagentbased Distributed Control[J].Energies,2016,9(9):717-736.
[18]苏晨,吴在军,吕振宇,等.孤立微电网分布式二级功率优化控制[J].电网技术,2016,40(9):2689-2697.
[19]赵亦岚,陈彬,范元亮,等.虚拟发电厂分布式控制收敛速度分析及优化[J].电网技术,2016,40(8):2288-2294.
[2]艾芊,刘思源,吴任博,等.能源互联网中多代理系统研究现状与前景分析[J].高电压技术,2016,42(9):2697-2706.
[3]张泽宇,张孝顺,余涛.孤岛智能配电网下的快速自动发电控制机组一致性协同控制算法[J].控制理论与应用,2016,33(5):599-607.
[4]高扬,艾芊,郝然,等.交直流混合电网的多智能体自律分散控制[J].电网技术,2017,41(4):1158-1164.
[5]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.
[6]李国栋,葛磊蛟,刘创华,等.主动配电网PQMT一致性入网检测平台构建[J].电气传动,2015,45(12):65-69.
[7]刘继春,唐虎,向月,等.考虑多个虚拟发电厂参与的多阶段市场交易方法[J].电力建设,2017,38(3):137-144.
[8]艾欣,周树鹏,赵阅群.含虚拟发电厂的电力系统优化运行与竞价策略研究[J].中国电机工程学报,2016,36(23):6351-6362.
[9]张孝顺,余涛.互联电网AGC功率动态分配的虚拟发电部落协同一致性算法[J].中国电机工程学报,2015,35(15):3750-3759.
[10]瞿丽,杨富文,邱全伟.基于H∞的分布式光伏并网系统的协同跟踪控制[J].电气传动,2016,46(9):44-47.
[11]刘显茁,郑泽东,李永东.采用电力电子变压器的多端口能源路由器[J].电气传动,2016,46(4):80-83.
[12]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.
[13]陈娟,黄元生,鲁斌.区域能源互联网信息物理建模及控制策略[J].电力自动化设备,2016,36(12):1-10.
[14]王璟,王利利,林济铿.能源互联网结构形态及技术支撑体系研究[J].电力自动化设备,2017,37(4):1-10.
[15]齐琛,汪可友,李国杰,等.交直流混合主动配电网的分层分布式优化调度[J].中国电机工程学报,2017,37(7):1909-1917.
[16]刘吉臻,李明扬,房方,等.虚拟发电厂研究综述[J].中国电机工程学报,2014,34(29):5103-5111.
[17]Li C,Savaghebi M,Guerrero J M,et al.Operation Cost Minimization of Droop-controlled AC Microgrids Using Multiagentbased Distributed Control[J].Energies,2016,9(9):717-736.
[18]苏晨,吴在军,吕振宇,等.孤立微电网分布式二级功率优化控制[J].电网技术,2016,40(9):2689-2697.
[19]赵亦岚,陈彬,范元亮,等.虚拟发电厂分布式控制收敛速度分析及优化[J].电网技术,2016,40(8):2288-2294.