基于灵活性时序场景的交直流配电网规划
|
摘要
提出了一种基于灵活性时序场景的交直流配电网双层规划模型。该模型能够在最大化系统灵活性供需平衡的同时,兼顾社会经济效益的最大化。首先提出了一种系统典型灵活性时序场景的构建方法,研究了灵活性需求的典型时序特征。基于灵活性需求时序场景,建立上层模型以获得系统灵活性资源的最优调配方案;采用基于网格划分的多目标粒子群算法进行求解,构建系统灵活性资源的时序场景。下层模型在最优灵活性资源时序场景下,对原有的交流配电网进行了交直流改造,证明了交直流配电网在社会、经济效益上的优越性。
This paper proposed a bi-level planning model of AC/DC distribution network based on flexibility time series scenario. This model can maximize the flexibility of the system while taking into account the maximization of social and economic benefits. First of all,this paper proposed a method for constructing a typical time-series of system flexibility,and studied the typical timing characteristics of the flexibility requirement. Based on the time sequence of flexibility requirements,an upper-level model was established to obtain the optimal deployment plan for system flexibility resources,and a multi-objective particle swarm optimization algorithm based on grid partition was used to solve the scenario to build a time-series scenario of system flexibility resources. Under the optimal flexible resource timing scenario,the lower model performs AC-DC transformation on the original AC distribution network,which proves the superiority of the AC-DC distribution network in terms of social and economic benefits.
This paper proposed a bi-level planning model of AC/DC distribution network based on flexibility time series scenario. This model can maximize the flexibility of the system while taking into account the maximization of social and economic benefits. First of all,this paper proposed a method for constructing a typical time-series of system flexibility,and studied the typical timing characteristics of the flexibility requirement. Based on the time sequence of flexibility requirements,an upper-level model was established to obtain the optimal deployment plan for system flexibility resources,and a multi-objective particle swarm optimization algorithm based on grid partition was used to solve the scenario to build a time-series scenario of system flexibility resources. Under the optimal flexible resource timing scenario,the lower model performs AC-DC transformation on the original AC distribution network,which proves the superiority of the AC-DC distribution network in terms of social and economic benefits.
引文
[1]高军彦,麻秀范,凡鹏飞.计及分布式发电的配电网协调规划整体框架与模型[J].电网与清洁能源,2008,24(10):12-16.
[2]王守相,王慧,蔡声霞.分布式发电优化配置研究综述[J].电力系统自动化,2009,33(18):110-115.
[3]麻秀范,崔换君.改进遗传算法在含分布式电源的配电网规划中的应用[J].电工技术学报,2011,26(3):175-181.
[4]BAGHERI A,MONSEF H,LESANI H.Integrated distribution network expansion planning incorporating distributed generation considering uncertainties,reliability,and operational conditions[J].International Journal of Electrical Power and Energy Systems,2015,73:56-70.
[5]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.
[6]胡晓博.含分布式能源的交直流混合配电网规划[M].华北电力大学,2017.
[7]肖定垚.电力系统灵活性及其评价综述[J].电网技术,2014,38(6):1569-1576.
[8]李欣然,黄际元,陈远扬,等.大规模储能电源参与电网调频研究综述[J].电力系统保护与控制,2016,44(7):145-153.
[9]陈上豪,刘国海,陈兆岭,等.独立光伏发电系统混合储能协调控制研究[J].计算机仿真,2017,34(4):125-128.
[10]柴润泽,张保会,薄志谦.含电压源型换流器直流电网的交直流网络潮流交替迭代方法[J].电力系统自动化,2015(7):7-13.
[11]陈谦,唐国庆,王浔.多端VSC-HVDC系统交直流潮流计算[J].电力自动化设备,2005,25(6):1-6.
[12]张聪.规模化电动汽车接入电网的影响及应用相关问题研究[D].武汉:华中科技大学,2015.
[13]程浩忠,李隽,吴耀武,等.考虑高比例可再生能源的交直流输电网规划挑战与展望[J].电力系统自动化,2017,41(9):19-27.
[14]鲁宗相,李海波,乔颖.含高比例可再生能源电力系统灵活性规划及挑战[J].电力系统自动化,2016,40(13):147-158.
[15]鲁宗相,李海波,乔颖.高比例可再生能源并网的电力系统灵活性评价与平衡机理[J].中国电机工程学报,2017,37(1):9-19.
[16]肖定垚,王承民,曾平良,等.电力系统灵活性及其评价综述[J].电网技术,2014,38(6):1569-1576.
[2]王守相,王慧,蔡声霞.分布式发电优化配置研究综述[J].电力系统自动化,2009,33(18):110-115.
[3]麻秀范,崔换君.改进遗传算法在含分布式电源的配电网规划中的应用[J].电工技术学报,2011,26(3):175-181.
[4]BAGHERI A,MONSEF H,LESANI H.Integrated distribution network expansion planning incorporating distributed generation considering uncertainties,reliability,and operational conditions[J].International Journal of Electrical Power and Energy Systems,2015,73:56-70.
[5]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.
[6]胡晓博.含分布式能源的交直流混合配电网规划[M].华北电力大学,2017.
[7]肖定垚.电力系统灵活性及其评价综述[J].电网技术,2014,38(6):1569-1576.
[8]李欣然,黄际元,陈远扬,等.大规模储能电源参与电网调频研究综述[J].电力系统保护与控制,2016,44(7):145-153.
[9]陈上豪,刘国海,陈兆岭,等.独立光伏发电系统混合储能协调控制研究[J].计算机仿真,2017,34(4):125-128.
[10]柴润泽,张保会,薄志谦.含电压源型换流器直流电网的交直流网络潮流交替迭代方法[J].电力系统自动化,2015(7):7-13.
[11]陈谦,唐国庆,王浔.多端VSC-HVDC系统交直流潮流计算[J].电力自动化设备,2005,25(6):1-6.
[12]张聪.规模化电动汽车接入电网的影响及应用相关问题研究[D].武汉:华中科技大学,2015.
[13]程浩忠,李隽,吴耀武,等.考虑高比例可再生能源的交直流输电网规划挑战与展望[J].电力系统自动化,2017,41(9):19-27.
[14]鲁宗相,李海波,乔颖.含高比例可再生能源电力系统灵活性规划及挑战[J].电力系统自动化,2016,40(13):147-158.
[15]鲁宗相,李海波,乔颖.高比例可再生能源并网的电力系统灵活性评价与平衡机理[J].中国电机工程学报,2017,37(1):9-19.
[16]肖定垚,王承民,曾平良,等.电力系统灵活性及其评价综述[J].电网技术,2014,38(6):1569-1576.