康燕,孙俊,须文波.具有量子行为的粒子群优化算法的参数选择[J].计算机工程与应用,2007,43(23):40-42. Kang Yan,Sun Jun,Xu Wenbo.Parameter selection of quantum-behaved particle swarm optimization[J]. Computer Engineering and Applications,2007,43(23):40-42(in Chinese).
[2]
Basu M.Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II[J].Electrical Power and Energy Systems,2008,30(2):140-149.
[3]
雷亚洲.随机规划理论在风电并网系统分析中的应用研究[D].北京:中国电力科学研究院,2001. Lei Yazhou.Application research on stochastic programming theory in power system analysis with grid-connected wind farms[D].Beijing:China Electric Power Research Institute,2001(in Chinese).
[4]
陈金富,陈海焱,段献忠.含大型风电场的电力系统多时段动态优化潮流[J].中国电机程学报,2006,26(3):31-35. Chen Jinfu,Chen Haiyan,Duan Xianzhong.Multi-period dynamic optimal power flow in wind power integrated system[J].Proceedings of the CSEE,2006,26(3):31-35(in Chinese).
[5]
陈海焱,陈金富,段献忠.含风电场电力系统经济调度的模糊建模及优化算法[J].电力系统自动化,2006,30(2):22-26. Chen Haiyan,Chen Jinfu,Duan Xianzhong.Fuzzy modeling and optimization algorithm on dynamic economic dispatch in wind power integrated system [J].Automation of Electric Power Systems,2006,30(2):22-26(in Chinese).
[6]
江岳文,陈冲,温步瀛.随机模拟粒子群算法在风电场无功补偿中的应用[J].中国电机工程学报,2008,28(13):47-52. Jiang Yuewen,Chen Chong,Wen Buying.Application of stochastic simulation?s particle swarm algorithm in the compensation of reactive power for wind farms [J].Proceedings of the CSEE,2008,28(13):47-52(in Chinese).
[7]
孙元章,吴俊,李国杰,等.基于风速预测和随机规划的含风电场电力系统动态经济调度[J].中国电机工程学报,2009,29(4):41-47. Sun Yuanzhang,Wu Jun,Li Guojie,et al.Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming[J].Proceedings of the CSEE,2009,29(4):41-47(in Chinese).
[8]
江岳文,陈冲,温步瀛.含风电场的电力系统机组组合问题随机模拟粒子群算法[J].电工技术学报,2009,24(6):129-137. Jiang Yuewen,Chen Chong,Wen Buying.Particle swarm research of stochastic simulation for unit commitment in wind farms[J].Transactions of China Electrotechnical Society,2009,24(6):129-137(in Chinese).
[9]
袁铁江,晁勤,吐尔逊·伊不拉音,等.大规模风电并网电力系统动态清洁经济优化调度的建模[J].中国电机工程学报,2010,30(31):7-13. Yuan Tiejiang,Chao Qin,Toerxun·Yibulayin,et al.Optimized economic and environment-friendly dispatching modeling for large-scale wind power integration[J].Proceedings of the CSEE,2010,30(31):7-13(in Chinese).
[10]
陈道君,龚庆武,张茂林,等.考虑能源环境效益的含风电场多目标优化调度[J].中国电机工程学报,2011,13(31):10-17. Chen Daojun,Gong Qingwu,Zhang Maolin,et al.Multi- objective optimal dispatch in wind power integrated system incorporating energy-environmental efficiency [J].Proceedings of the CSEE,2011,13(31):10-17(in Chinese).
[11]
周玮,彭昱,孙辉,等.含风电场的电力系统动态经济调度[J].中国电机工程学报,2009,29(25):13-18. Zhou Wei,Peng Yu,Sun Hui,et al.Dynamic economic dispatch in wind power integrated system[J].Proceedings of the CSEE,2009,29(25):13-18(in Chinese).
[12]
Ramanathan R.Short-term energy and emission trading analysis[J].IEEE Transactions on Power Systems,1995,10(2):1118-1124.
[13]
Kulkarni P S,Kothari A G,Kothari D P.Combined economic and emission dispatch using improved backpropagation neural network[J].Electric Machines and Power Systems,2000,28(1):31-44.
[14]
Venkatesh P,Gnanadass R,Padhy N P.Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints[J].IEEE Transactions on Power Systems,2003,18(2):688-697.
[15]
陈树勇,申洪,张洋,等.基于遗传算法的风电场无功补偿及控制方法的研究[J].中国电机工程学报,2005,25(8):1-6. Chen Shuyong,Shen Hong,Zhang Yang,et al.Researches on the compensation and control of reactive power for wind farms based on genetic algorithm[J].Proceedings of the CSEE,2005,25(8):1-6(in Chinese).
[16]
路志英,葛少云,王成山.基于粒子群优化的加权伏罗诺伊图变电站规划[J].中国电机工程学报,2009,29(16):35-41. Lu Zhiying,Ge Shaoyun,Wang Chengshan.Substation location planning of the weighted voronoi diagram based on particle swarm optimization algorithm[J].Proceedings of the CSEE,2009,29(16):35-41(in Chinese).
[17]
熊虎岗,程浩忠,李宏仲.基于免疫算法的多目标无功优化[J].中国电机工程学报,2006,26(11):102-108. Xiong Hugang,Cheng Haozhong,Li Hongzhong.Multi- objective reactive power optimization based on immune algorithm[J].Proceedings of the CSEE,2006,26(11):102-108(in Chinese).
[18]
Sun J,Feng B,Xu W B.Particle swarm optimization with particles having quantum behavior[C]//Proceedings of the 2004 IEEE Congress on Evolution Computation. Piscataway,NJ:IEEE,2004:325-331.
[19]
Sun J,Xu W B,Feng B.A global search strategy of quantum-behaved particle swarm optimization[C]// Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems.Singapore:IEEE,2004:111-116.
[20]
Deb K.An efficient constraint handling method for genetic algorithms[J].Computer Methods in Applied Mechanics and Engineering,2000,186(2-4):311-338.
[21]
袁晓辉,袁艳斌,张勇传,等.一种求解非线性约束优化问题的新方法[J].华中科技大学学报,2006,34(4):67-69. Yuan Xiaohui,Yuan Yanbin,Zhang Yongchuan,et al.An approach to solve nonlinear constrained optimization [J].Journal of Huazhong University of Science and Technology,2006,34(4):67-69(in Chinese).
[22]
Yuan X H,Cao B,Yang B,et al.Hydrothermal scheduling using chaotic hybrid differential evolution[J].Energy Conversion and Management,2008,49(12):3627-3633.
[23]
陈树勇,戴慧珠,白晓民,等.尾流效应对风电场输出功率的影响[J].中国电力,1998,31(11):28-31. Chen Shuyong,Dai Huizhu,Bai Xiaomin,et al.Impact of wind turbine wake on wind power output[J].Electric Power,1998,31(11):28-31(in Chinese).
[24]
曹娜,赵海翔,任普春,等.风电场动态分析中风速模型的建立及应用[J].中国电机工程学报,2007,27(36):68-72. Cao Na,Zhao Haixiang,Ren Puchun,et al.Establish and application of wind speed model in wind farm dynamic analysis[J].Proceedings of the CSEE,2007,27(36):68-72(in Chinese).
[25]
范高锋,王伟胜,刘纯,等.基于人工神经网络的风电功率短期预测系统[J].中国电机工程学报,2008,28(34):118-123. Fan Gaofeng,Wang Weisheng,Liu Chun,et al.Wind power prediction based on artificial neural network [J].Proceedings of the CSEE,2008,28(34):118-123(in Chinese).
[26]
孙玮.含大型风电场的电力系统最大输电能力计算[D].天津:天津大学,2007. Sun Wei.Total transfer capability calculation of power system including large-scale wind farms[D].Tianjin:Tianjin University,2007(in Chinese).
[27]
Clerc M,Kennedy J.The particle swarm-explosion,stability and convergence in a multi-dimensional complex space[J].IEEE Transactions on Evolutionary Computation,2002,6(1):58-73.