高载能负荷参与的集群风电场并网系统经济调度模式
|
摘要
针对传统调度模式已无法实现大规模风电并网系统的经济调度,提出了将高载能负荷作为可调度资源并通过设置集群协调层与风电场进行统一调度的新调度模式.新调度模式中,集群协调层一方面响应调度中心的调度出力;另一方面对群内的高载能负荷和风电场进行协调调度,从而使调度系统达到协调最优点.在所提调度模式上建立了系统经济调度的二层优化数学模型,分别采用帝国竞争算法(ICA)和二进制粒子群优化算法对上层和下层模型求解.算例仿真结果验证了所提调度模式和所建经济调度数学模型的正确性.
Aimed at the problem that the traditional scheduling mode has been unable to realize the economic dispatch of large-scale wind power grid connection system,a new scheduling mode is proposed,in which a high-energy load is taken as a scheduled resource and a cluster coordination layer is set to perform unified coordination of cluster coordination layer with wind farms.The cluster coordination layer,on the one hand,responds to the dispatch center scheduled output,and on the other hand conducts the coordinated scheduling of high-energy load with wind farms so that makes the scheduling system to achieve its optimum coordination.A bilayer optimization mathematical model of system economic dispatch is step up with the proposed scheduling mode and the upper and lower models are solved with imperialist competitive algorithm(ICA)and binary particle swarm optimization algorithm,respectively.The validity of proposed dispatch mode and mathematical model of economic dispatch is justified by the simulation result of a computational example.
Aimed at the problem that the traditional scheduling mode has been unable to realize the economic dispatch of large-scale wind power grid connection system,a new scheduling mode is proposed,in which a high-energy load is taken as a scheduled resource and a cluster coordination layer is set to perform unified coordination of cluster coordination layer with wind farms.The cluster coordination layer,on the one hand,responds to the dispatch center scheduled output,and on the other hand conducts the coordinated scheduling of high-energy load with wind farms so that makes the scheduling system to achieve its optimum coordination.A bilayer optimization mathematical model of system economic dispatch is step up with the proposed scheduling mode and the upper and lower models are solved with imperialist competitive algorithm(ICA)and binary particle swarm optimization algorithm,respectively.The validity of proposed dispatch mode and mathematical model of economic dispatch is justified by the simulation result of a computational example.
引文
[1]刘德伟,郭剑波,黄越辉,等.基于风电功率概率预测和运行风险约束的含风电场电力系统经济调度[J].中国电机工程学报,2013,33(6):9-15.
[2]LEE T Y.Optimal spinning reserve for a wind-thermal power system using PSO[J].IEEE Transactions on Power Systems,2007,22(4):1612-1621.
[3]王晓兰,解骞,智勇.考虑风电场并网的电力系统短期多目标经济调度[J].兰州理工大学学报,2012,38(5):82-86.
[4]冯利民,范国英,郑太一,等.吉林电网风电调度自动化系统设计[J].电力系统自动化,2011,35(11):39-43.
[5]白永祥,房大中,朱长胜,等.内蒙古电网风电场调度管理技术支持系统设计与应用[J].电力系统自动化,2011,35(7):86-90.
[6]GOMESA,ANTUNES C H,MARTINS A G.A multiple objective decision support model for the selection of remote load control strategies[J].IEEE Transactions on Power Systems,2000,15(2):865-872.
[7]董志平,关勇,王树一.乌海地区高耗能负荷特性的分析及其抑制对策[J].内蒙古电力技术,2004(2):33-34.
[8]何桂雄,曹年林,蒋利明,等.风电富裕地区高载能负荷参与电网调峰研究[J].可再生能源,2015,33(4):491-496.
[9]林俐,朱晨宸,郑太一,等.风电集群有功功率控制及其策略[J].电力系统自动化,2014,38(14):9-16.
[10]行舟,李雪明,陈振寰,等.甘肃酒泉大型集群风电有功智能控制系统的开发[J].电力科学与技术学报,201126(1):48-52.
[11]肖创英,汪宁渤,陟晶,等.甘肃酒泉风电出力特性分析[J].电力系统自动化,2010,34(17):64-67.
[12]杨楠,王波,刘涤尘,等.考虑柔性负荷调峰的大规模风电随机优化调度方法[J].电工技术学报,2013,28(11):231-238.
[13]MOGHIMI H M.VAHIDI B.A solution to the unit commitment problem using imperialistic competition algorithm[J].IEEE Transactions on Power System,2012,27(1):117-124.
[2]LEE T Y.Optimal spinning reserve for a wind-thermal power system using PSO[J].IEEE Transactions on Power Systems,2007,22(4):1612-1621.
[3]王晓兰,解骞,智勇.考虑风电场并网的电力系统短期多目标经济调度[J].兰州理工大学学报,2012,38(5):82-86.
[4]冯利民,范国英,郑太一,等.吉林电网风电调度自动化系统设计[J].电力系统自动化,2011,35(11):39-43.
[5]白永祥,房大中,朱长胜,等.内蒙古电网风电场调度管理技术支持系统设计与应用[J].电力系统自动化,2011,35(7):86-90.
[6]GOMESA,ANTUNES C H,MARTINS A G.A multiple objective decision support model for the selection of remote load control strategies[J].IEEE Transactions on Power Systems,2000,15(2):865-872.
[7]董志平,关勇,王树一.乌海地区高耗能负荷特性的分析及其抑制对策[J].内蒙古电力技术,2004(2):33-34.
[8]何桂雄,曹年林,蒋利明,等.风电富裕地区高载能负荷参与电网调峰研究[J].可再生能源,2015,33(4):491-496.
[9]林俐,朱晨宸,郑太一,等.风电集群有功功率控制及其策略[J].电力系统自动化,2014,38(14):9-16.
[10]行舟,李雪明,陈振寰,等.甘肃酒泉大型集群风电有功智能控制系统的开发[J].电力科学与技术学报,201126(1):48-52.
[11]肖创英,汪宁渤,陟晶,等.甘肃酒泉风电出力特性分析[J].电力系统自动化,2010,34(17):64-67.
[12]杨楠,王波,刘涤尘,等.考虑柔性负荷调峰的大规模风电随机优化调度方法[J].电工技术学报,2013,28(11):231-238.
[13]MOGHIMI H M.VAHIDI B.A solution to the unit commitment problem using imperialistic competition algorithm[J].IEEE Transactions on Power System,2012,27(1):117-124.