[1]HENRY D,WARREN L.Wind power in power systems[J].IEEE Power Engineering Review,2014,22(12):23-27.
[2]蒋程,刘文霞,张建华,等.含风电接入的发输电系统风险评估[J].电工技术学报,2014,39(2):260-270.
JIANG Cheng,LIU Wenxia,ZHANG Jianhua,et al. Risk assessment of generation and transmission systems considering wind power penetration[J].Transactions of China Electrotechnical Society,2014,39(2):260-270.
[3] ILIC M D,XIE LE ,JOO J-Y .Efficient coordination of wind power and price-responsive demand-part II:case studies[J].IEEE Transactions on Power Systems,2011,26(4):1885-1893.
[4] CHEN Chun-Lung, CHEN Zih-Yann, LEE Tsung-Ying.Multi-area economic generation and reserve dispatch considering large-scale integration of wind power[J].International Journal of Electrical Power and Energy Systems,2014(55):171-178.
[5]王士柏,韩学山,杨明,等.计及不确定性的等备用边际效用约束的电力系统经济调度[J].中国电机工程学报,2015,35(5):1143-1152.
WANG Shibo,HAN Xueshan,YANG Ming,et al.Economic dispatch of power system including equal marginal reserve utility contraint considering uncertainties[J].Proceedings of the CSEE,2015,35(5):1143-1152.
[6]REID G F,HASDORFF L.Economic dispatch using quadratic programming[J].IEEE Transactions on Power Apparatus & Systems,2007,PAS-92(6):2015-2023.
[7]FAN Y F,WANG Y B,CHAO Q.Wind-hydro hybrid power system stability analysis[C]//Proceedings of the Fifth International Conference on Electricalmachines and Systems.Shenyang,China:IEEE:628-632.
[8]翁振星,石立宝,徐政,等.计及风电成本的电力系统动态经济调度[J].中国电机工程学报,2014,34(4):514-523.
WENG Zhenxing,SHI Libao,XU Zheng,et al.Power system dynamic economic dispatch incorporating wind power cost[J].Proceedings of the CSEE,2014,34(4):514-523.
[9]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):16-21,38.
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):16-21,38.
[10]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.
[11]王猛,尹洪超.基于改进粒子群算法的多杂质水网络优化设计[J].节能技术,2010,28(161):209-212.
WANG Meng,YIN Hongchao.Design of water network with multiple contaminants based on improved particle swarm optimization[J].Energy Conservation Technology,2010,28(161):209-212.
[12]张子泳,仉梦林,李莎.基于多目标粒子群算法的电力系统环境经济调度研究[J].电力系统保护与控制,2017,45(10):1-10.
ZHANG Ziyong,ZHANG Menglin,LI Sha.Environmental/economic power dispatch based on multi-objective particle swarm constraint optimization algorithm[J].Power System Protection and Control,2017,45(10):1-10.
[13]柏春光,万杰,刘娇,等.基于遗传算法的抽汽供热机组间的热电负荷分配优化研究[J].节能技术,2014,32(185):201-204.
BAI Chunguang,WAN Jie,LIU Jiao,et al.Optimization of load distribution between extraction thermoelectric heating unit based on genetic algorithms[J].Energy Conservation Technology,2014,32(185):201-204.
[14]袁铁江,晁勤,李义岩,等.基于风电极限穿透功率的经济调度优化模型研究[J].电力系统保护与控制,2011,39(1):15-22.
YUAN Tiejiang,CHAO Qin,LI Yiyan,et al.Research on optimization model of economic dispatch based on wind power penetration limit [J].Power System Protection and Control,2011,39(1):15-22.
[15]MANIEZZO D M.The ant system:Optimization by a colony of cooperating agents[J].IEEE Transactions on Systems,Man,and Cybernetics-Part B:Cybernetics,1996,26(1):29-41.
[16]张程飞,刘纯,王跃峰,等.采用条件风险约束的电网日前风电接纳能力评估[J].电力系统及其自动化学报,2016,28(10):61-66.
ZHANG Chengfei,LIU Chun,WANG Yuefeng,et al.Assessment of wind power accommodation capability using conditional risk constraint from day-ahead viewpoint[J].Proceedings of the CSU-EPSA,2016,28(10):61-66.
[17]OUYANG Haibin,GAO Liqun.Teaching-learning based optimization with global crossover for global optimization problems [J].Applied Mathematics and Computation,2015,265(2):533-556.
[18]韩学山,柳焯.考虑发电机组输出功率速度限制的最优机组组合[J].电网技术,1994,18(6):11-16.
HAN Xueshan,LIU Zuo.Optimal unit commitment considering units ramp-rate limits[J].Power System Technology,1994,18(6):11-16.
[19]董晓天,严正,冯冬涵,等.计及风电出力惩罚成本的电力系统经济调度[J].电网技术,2012,36(8):76-80.
DONG Xiaotian,YAN Zheng,FENG Donghan,et al.Power system economic dispatch considering penalty cost of wind farm output[J].Power System Technology,2012,36(8):76-80. |