考虑风电不确定性的多区电力系统分散式随机调度方法
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摘要
在考虑风电出力不确定性的基础上研究了多区域电网分散式优化问题。首先,对区域边界共享节点进行复制以实现互联电网的解耦,然后,基于场景法对风电随机性进行建模,构建区域电网两阶段随机优化模型,最后,采用同步型交替方向乘子法(Synchronous Alternating Direction Method of Multipliers,SADMM)交替求解全网分散优化问题和区域两阶段随机优化问题。采用修改的新英格兰39节点系统构建3区域互联电网进行仿真测试,验证了所提模型能够有效应对风电的随机不确定性,并实现各区域电网调度的分散自治。
This paper focuses on the decentralized optimization of multi-area interconnected power system considering the randomness of wind power. Firstly,the decoupling of multi-area interconnected power grids is realized by copying the boundary node variables. Then,the randomness of wind power is modeled based on the scenario method to construct a two-stage stochastic optimization model. Finally,the synchronous alternating direction method of multipliers is to solve the decentralized optimization problem and the regional two-stage stochastic optimization problem. The modified New England bus system is used to build a area interconnected power grid,which verifies that the proposed model can effectively cope with the uncertainty of wind power and realize the decentralized autonomy of regional power grid dispatching.
This paper focuses on the decentralized optimization of multi-area interconnected power system considering the randomness of wind power. Firstly,the decoupling of multi-area interconnected power grids is realized by copying the boundary node variables. Then,the randomness of wind power is modeled based on the scenario method to construct a two-stage stochastic optimization model. Finally,the synchronous alternating direction method of multipliers is to solve the decentralized optimization problem and the regional two-stage stochastic optimization problem. The modified New England bus system is used to build a area interconnected power grid,which verifies that the proposed model can effectively cope with the uncertainty of wind power and realize the decentralized autonomy of regional power grid dispatching.
引文
[1]中电联合规划发展部. 2016-2017年度全国电力供需形势分析预测报告[R].北京:中电联合规划发展部.
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[9] Luh P B,Zhang Daoyuan,Tomastik R N. An algorithm for solving the dual problem of hydrothermal scheduling[J]. IEEE Transactions on Power Systems,1998,13(2):593-600.
[10]Ahmadi-Khatir A,Conejo A J,Cherkaoui R. Multi-area unit scheduling and reserve allocation under wind power certainty[J]. IEEE Transactions on Power Systems,2014,29(4):1701-1710.
[11]Zheng W Y,Wu W C,Zhang B M,et al. A fully distributed reactive power optimization and control method for active distribution networks[J]. IEEE Transactions on Smart Grid:2016:7(2):1021-1033.
[12]王程,刘念.基于交替方向乘子法的互联微电网系统分布式优化调度[J].电网技术,2016,40(9):2675-2681.Wang Cheng,Liu Nian. Distributed Optimal Dispatching of Interconnected Microgrid System Based on Alternating Direction Method of Multipliers[J]. Power System Technology,2016,40(9):2675-2681.
[13]Erseghe T. Distributed optimal power flow using AADMM[J]. IEEE Transactions on Power Systems,2014,29(5):2370-2380.
[14]Kargarian A,Fu Yong,Li Zuyi. Distributed securityconstrained unit commitment for large-scale power systems[J]. IEEE Transactions on Power Systems,2014,30(4):1925-1936.
[15]赖晓文,钟海旺,杨军峰,等.基于价格响应函数的超大电网分解协调优化方法[J].电力系统自动化,2013,37(21):60-65,117.Lai Xiaowen,Zhong Haiwang,Yang Junfeng,et al. Decomposed optimization method over large-scale power system based on price response function[J]. Automation of Electric Power Systems,2013,37(21):60-65,117.
[16]Li Zhigang,Wu Wenchuan,Zhang Boming,et al. Decentralized multiarea dynamic economic dispatch using modified generalized Benders decomposition[J]. IEEE Transactions on Power Systems,2015,33(1):526-538.
[17]李佩杰,陆镛,白晓清,等.基于交替方向乘子法的动态经济调度分散式优化[J].中国电机工程学报,2015,35(10):2428-2435.Li Peijie,Lu Yong,Bai Xiaoqing,et al. Decentralized optimization for dynamic economic dispatch based on alternating direction method of multipliers[J]. Proceedings of the CSEE,2015,35(10):2428-2435.
[2]刘振亚.全球能源互联网[M].北京:中国电力出版社,2015:337-339.
[3]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动态经济调度[J].中国电机工程学报,2013,33(16):9-15.Liu Dewei,Guo Jianbo,Huang Yuehui,et al. Dynamic economic dispatch of wind integrated power system based on wind power probabilistic forecasting and operation risk constraints[J]. Proceedings of the CSEE,2013,33(16):9-15.
[4]仉梦林,胡志坚,王小飞,等.基于动态场景集和需求响应的二阶段随机规划调度模型[J].电力系统自动化,2017,41(11),68-76.Zhang Menglin,Hu Zhijian,Wang Xiaofei,et al. Two-stage Stochastic Programming Scheduling Model Based on Dynamic Scenario Sets and Demand Response[J]. Automation of Electric Power Systems,,2017,41(11),68-76.
[5]张倩文,王秀丽,杨廷天,等.含风电场电力系统的鲁棒优化调度[J].电网技术,2017,41(5):1451-1463.Zhang Qianwen,Wang Xiuli,Yang Tingtian,et al. A robust dispatch method for power grid with wind farms[J]. Power System Technology,2017,41(5):1451-1463.
[6]文阳,周步祥,王慧,等.基于大规模风光互补的发电侧可调节鲁棒优化调度策略[J].电测与仪表,2017,54(5):9-15.Wen Yang,Zhou Buxiang,Wang Hui,et al. Adjustable robust optimal scheduling strategy based on large scale generation side wind-PV power[J]. Electrical Measurement&Instrumentation,2017,54(5):9-15.
[7]马群,孙欣,陈颖,等.计及风电动态成本的电力系统区间经济调度[J].电测与仪表,2016,53(10):16-21.Ma Qun,Sun Xin,Chen Ying,et al. Power system interval economic dispatch incorporating dynamic cost of wind power[J]. Electrical Measurement&Instrumentation,2016,53(10):16-21.
[8] Kim B H,Baldick R. A comparison of distributed optimal power flow algorithms[J]. IEEE Transactions on Power Systems,2000,15(2):599-604.
[9] Luh P B,Zhang Daoyuan,Tomastik R N. An algorithm for solving the dual problem of hydrothermal scheduling[J]. IEEE Transactions on Power Systems,1998,13(2):593-600.
[10]Ahmadi-Khatir A,Conejo A J,Cherkaoui R. Multi-area unit scheduling and reserve allocation under wind power certainty[J]. IEEE Transactions on Power Systems,2014,29(4):1701-1710.
[11]Zheng W Y,Wu W C,Zhang B M,et al. A fully distributed reactive power optimization and control method for active distribution networks[J]. IEEE Transactions on Smart Grid:2016:7(2):1021-1033.
[12]王程,刘念.基于交替方向乘子法的互联微电网系统分布式优化调度[J].电网技术,2016,40(9):2675-2681.Wang Cheng,Liu Nian. Distributed Optimal Dispatching of Interconnected Microgrid System Based on Alternating Direction Method of Multipliers[J]. Power System Technology,2016,40(9):2675-2681.
[13]Erseghe T. Distributed optimal power flow using AADMM[J]. IEEE Transactions on Power Systems,2014,29(5):2370-2380.
[14]Kargarian A,Fu Yong,Li Zuyi. Distributed securityconstrained unit commitment for large-scale power systems[J]. IEEE Transactions on Power Systems,2014,30(4):1925-1936.
[15]赖晓文,钟海旺,杨军峰,等.基于价格响应函数的超大电网分解协调优化方法[J].电力系统自动化,2013,37(21):60-65,117.Lai Xiaowen,Zhong Haiwang,Yang Junfeng,et al. Decomposed optimization method over large-scale power system based on price response function[J]. Automation of Electric Power Systems,2013,37(21):60-65,117.
[16]Li Zhigang,Wu Wenchuan,Zhang Boming,et al. Decentralized multiarea dynamic economic dispatch using modified generalized Benders decomposition[J]. IEEE Transactions on Power Systems,2015,33(1):526-538.
[17]李佩杰,陆镛,白晓清,等.基于交替方向乘子法的动态经济调度分散式优化[J].中国电机工程学报,2015,35(10):2428-2435.Li Peijie,Lu Yong,Bai Xiaoqing,et al. Decentralized optimization for dynamic economic dispatch based on alternating direction method of multipliers[J]. Proceedings of the CSEE,2015,35(10):2428-2435.