LIU Jizhen,WANG Haidong,LI Mingyang. Review on Unit Commitment of Power Systems with Wind Power Integration[J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(12): 38-45.
[1]刘吉臻.大规模新能源电力安全高效利用基础问题[J].中国电机工程学报,2013,33(16):1-8.
[2]夏清,钟海旺,康重庆.安全约束机组组合理论与应用的发展和展望[J].中国电机工程学报,2013,33(16):94-103.
[3]丁华杰,宋永华,胡泽春,等.基于风电场功率特性的日前风电预测误差概率分布研究[J].中国电机工程学报,2013,33(34):136-144.
[4]Monteiro C,Bessa R,Miranda V,et al.Wind power forecasting:State-of-the-art 2009[R].Argonne National Laboratory(ANL),2009.
[5]王彩霞,乔颖,鲁宗相.考虑风电效益的风火互济系统旋转备用确定方式[J].电力系统自动化,2012,36(4):16-21.
[6]Tuohy A,Denny E,OMalley M.Rolling unit commitment for systems with significant installed wind capacity[C]//Power Tech,2007 IEEE Lausanne.Lausanne,Switzerland:IEEE,2007:1380-1385.
[7]张娜,吕泉,张显,等.含风电系统的多级机组组合协调制定策略[J].电力系统自动化,2013,37(11):39-45.
[8]苏鹏,刘天琪,李兴源.含风电的系统最优旋转备用的确定[J].电网技术,2010,34(12):158-162.
[9]李茜,刘天琪,王福军,等.机组组合在含风电系统的备用协调优化[J].华东电力,2013,41(7):1481-1484.
[10]谢胤喆.引入风电机组的安全约束机组组合方法[D].杭州:浙江大学,2013.
[11]Wang J,Shahidehpour M,Li Z.Security-constrained unit commitment with volatile wind power generation[J].IEEE Transactions on Power Systems,2008,23(3):1319-1327.
[12]Daneshi H,Srivastava A K.Security-constrained unit commitment with wind generation and compressed air energy storage[J].IET Generation,Transmission & Distribution,2012,6(2):167-175.
[13]叶荣,陈皓勇,王钢,等.多风电场并网时安全约束机组组合的混合整数规划解法[J].电力系统自动化,2010,34(5):29-33.
[14]谢胤喆,郭瑞鹏.考虑风电机组无功特性的安全约束机组组合方法[J].电力系统自动化,2012,36(14):113-118.
[15]于芃,周玮,孙辉,等.用于风电功率平抑的混合储能系统及其控制系统设计[J].中国电机工程学报,2011(17):127-133.
[16]谢毓广,江晓东.储能系统对含风电的机组组合问题影响分析[J].电力系统自动化,2011,35(5):19-24.
[17]高红均,刘俊勇,魏震波,等.基于极限场景集的风电机组安全调度决策模型[J].电网技术,2013,37(6):1590-1595.
[18]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.
[19]张晓花,赵晋泉,陈星莺.含风电场机组组合的模糊建模和优化[J].科技导报,2009(20):102-105.
[20]Chakraborty S,Senjyu T,Saber A Y,et al.A fuzzy binary clustered particle swarm optimization strategy for thermal unit commitment problem with wind power integration[J].IEEE Transactions on Electrical and Electronic Engineering,2012,7(5):478-486.
[21]万振东,程浩忠,张建平,等.考虑风电消纳能力单目标及多目标模糊机组组合模型及应用[J].水电能源科学,2012,30(7):214-218.
[22]Venkatesh B,Yu P,Gooi H B,et al.Fuzzy MILP unit commitment incorporating wind generators[J].IEEE Transactions on Power Systems,2008,23(4):1738-1746.
[23]刘宝碇,赵瑞清.随机规划与模糊规划[M].北京:清华大学出版社,1998:74-94.
[24]Wang Q,Guan Y,Wang J.A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output[J].IEEE Transactions on Power Systems.2012,27(1):206-215.
[25]张宁宇,高山,赵欣.一种考虑风电随机性的机组组合模型及其算法[J].电工技术学报,2013,28(5):22-29.
[26]Wang Q,Wang J,Guan Y.Price-based unit commitment with wind power utilization constraints[J].IEEE Transactions on Power Systems,2013,28(3):2718-2726.
[27]Pozo D,Contreras J.A chance-constrained unit commitment with an n-Ksecurity criterion and significant wind generation[J].IEEE Transactions on Power Systems,2013,28(3):2842-2851.
[28]Ding X,Lee W J,Jianxue W,et al.Studies on stochastic unit commitment formulation with flexible generating units[J].Electric Power Systems Research,2010,80(1):130-141.
[29]刘宝碇,赵瑞清,王纲.不确定规划及应用[M].北京:清华大学出版社,2003:178-198.
[30]艾欣,刘晓,孙翠英.含风电场电力系统机组组合的模糊机会约束决策模型[J].电网技术,2011,35(12):202-207.
[31]熊虎,向铁元,陈红坤,等.含大规模间歇式电源的模糊机会约束机组组合研究[J].中国电机工程学报,2013,33(13):36-44.
[32]Heitsch H,Rmisch W.Scenario tree modeling for multistage stochastic programs[J].Mathematical Programming,2009,118(2):371-406.
[33]Rmisch W,Dupacová J,Grwe-Kuska N,et al.Approximations of stochastic programs.Scenario tree reduction and construction[C]//GAMS Workshop.Heidelberg.Berlin,Germany:DFG Research Center,2003:1-3.
[34]Wang J,Botterud A,Bessa R,et al.Wind power forecasting uncertainty and unit commitment[J].Applied Energy,2011,88(11):4014-4023.
[35]Hyland K,Wallace S W.Generating scenario trees for multistage decision problems[J].Management Science,2001,47(2):295-307.
[36]Heitsch H,Rmisch W.Scenario reduction algorithms in stochastic programming[J].Computational optimization and applications,2003,24(2-3):187-206.
[37]Growe-Kuska N,Heitsch H,Romisch W.Scenario reduction and scenario tree construction for power management problems[C]//Power Tech Conference Proceedings,2003 IEEE Bologna.Bologna,Italy:IEEE,2003:3-7.
[38]雷宇,杨明,韩学山.基于场景分析的含风电系统机组组合的两阶段随机优化[J].电力系统保护与控制,2012,40(23):58-67.
[39]Botterud A,Zhou Z,Wang J,et al.Unit commitment and operating reserves with probabilistic wind power forecasts[C]//2011 IEEE Trondheim PowerTech.Trondheim,Norway:IEEE,2011:1-7.
[40]张步涵,邵剑,吴小珊,等.基于场景树和机会约束规划的含风电场电力系统机组组合[J].电力系统保护与控制,2013,41(1):127-135.
[41]向萌,张紫凡,焦茜茜.多场景概率机组组合在含风电系统中的备用协调优化[J].电网与清洁能源,2012,28(5):61-69.
[42]Pappala V S,Erlich I,Singh S N.Unit commitment under wind power and demand uncertainties[C]//Power System Technology and IEEE Power India Conference.New Delhi,India:IEEE,2008:1-6.
[43]蒋凌,潘志,成天乐.含风电电力系统旋转备用的鲁棒优化方法研究[J].电力科学与工程,2013,29(04):1-6.
[44]魏韡,刘锋,梅生伟.电力系统鲁棒经济调度(二)应用实例[J].电力系统自动化.2013(18):60-67.
[45]杨明,韩学山,王士柏,等.不确定运行条件下电力系统鲁棒调度的基础研究[J].中国电机工程学报,2011,31(S):100-107.
[46]王冰,羊晓飞,李巧云.基于坏场景集的抗风险鲁棒调度模型[J].自动化学报,2012,28(02):270-278.
[47]高红均,刘俊勇,刘继春,等.基于坏场景集的含风电机组组合模型[J].电力系统保护与控制,2013,41(10):27-32.
[48]陈皓勇,王锡凡.机组组合问题的优化方法综述(1)[J].电力系统自动化,1999,23(4):51-56.
[49]耿建,徐帆,姚建国,等.求解安全约束机组组合问题的混合整数规划算法性能分析[J].电力系统自动化,2009,33(21):24-27.
[50]陈皓勇,王锡凡.机组组合问题的优化方法综述(2)[J].电力系统自动化,1999,23(5):51-56.
[51]何小宇,张粒子,谢国辉.改进的拉格朗日松弛法求解机组组合问题[J].电力系统保护与控制,2010,38(17):16-21.
[52]王燕涛,王大亮.计及风电的系统旋转备用容量的确定[J].电测与仪表,2012,49(12):22-27.
[53]雷秀娟.群智能优化算法及其应用[M].北京:科学出版社,2012:87-89.
[54]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.
[55]Chakraborty S,Senjyu T,Saber A Y,et al.Optimal thermal unit commitment integrated with renewable energy sources using advanced particle swarm optimization[J].IEEE Transactions on Electrical and Electronic Engineering,2009,4(5):609-617.
[56]Dang C,Li M.A floating-point genetic algorithm for solving the unit commitment problem[J].European Journal of Operational Research,2007,181(3):1370-1395.
[57]Sun L,Zhang Y,Jiang C.A matrix real-coded genetic algorithm to the unit commitment problem[J].Electric Power Systems Research,2006,76(9-10):716-728.
[58]Senthil Kumar V,Mohan M R.Solution to security constrained unit commitment problem using genetic algorithm[J].International Journal of electrical Power & Energy Systems,2010,32(2):117-125.