Wang J,Shahidehpour M,Li Z．Security-constrainted unit commitment with volatile wind power generation[J]．IEEE Transactions on Power Systems,2008,23(3)：1319-1327．
[3]
Degeilh Y,Gross G．Stochastic simulation of power systems with integrated intermittent renewable resources[J]．International Journal of Electrical Power and Energy System,2015(64)：542-550．
[4]
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(in Chinese)．
[5]
薛禹胜,雷兴,薛峰,等．关于风电不确定性对电力系统影响的评述[J]．中国电机工程学报,2014,34(29)：5029-5040．Xue Yusheng,Lei Xxing,Xue Feng,et al．A review on impacts of wind power uncertainties on power systems[J]．Proceedings of the CSEE,2014,34(29)：5029-5040(in Chinese)．
[6]
孙荣富,张涛,梁吉．电网接纳风电能力的评估及应用[J]．电力系统自动化,2011,35(4)：70-76．Sun Rongfu,Zhang Tao,Liang Ji．Evaluation and application of wind power integration capacity in power grid[J]．Automation of Electric Power Systems,2011,35(4)：70-76(in Chinese)．
[7]
徐乾耀,康重庆,江长明,等．多时空尺度风电消纳体系初探[J]．电力系统保护与控制,2013,41(1)：28-32．Xu Qianyao,Kang Chongqing,Jiang Changming,et al．Preliminary analysis on wind power accommodation system from multiple temporal and spatial scale perspective[J]．Power System Protection and Control,2013,41(1)：28-32(in Chinese)．
[8]
国家电力监管委员会．风电、光伏发电情况监管报告[R]．北京：国家电力监管委员会,2011．
[9]
Bin J,Yuan X,Chen Z,et al．Improved gravitational search algorithm for unit commitment considering uncertainty of wind power[J]．Energy,2014,67(1)：52-62．
[10]
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．Lei Yu,Yang Ming,Han Xueshan．A two-stage stochastic optimization of unit commitment considering wind power based on scenario analysis[J]．Power System Protection and Control,2012,40(23)：58-67(in Chinese)．
[11]
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．
[12]
孙元章,吴俊,李国杰,等．基于风速预测和随机规划的含风电厂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)．
[13]
Jiang R,Wang J,Guan Y．Robust unit commitment with wind power and pumped storage hydro[J]．IEEE Transactions on Power Systems,2012,27(2)：800-810．
[14]
Zhao L,Zeng B．Robust unit commitment problem with demand response and wind energy[C]//IEEE Power and Energy Society General Meeting．San Diego,USA：IEEE,2012：1-8．
[15]
姚金雄,张世强．基于调峰能力分析的电网风电接纳能力研究[J]．电网清洁与能源,2010,26(7)：25-28．Yao Jinxiong,Zhang Shiqiang．Analysis on capacity of wind power integration into grid based on peak load regulation[J]．Power System and Clean Energy,2010,26(7)：25-28(in Chinese)．
[16]
韩小琪,孙寿广,戚庆茹．从系统调峰角度评估电网接纳风电能力[J]．中国电力,2010,43(6)：16-19．Han Xiaoqi,Sun Shouguang,Qi Qingru．Evaluation of wind power penetration limit from peak regulation[J]．Electric Power,2010,43(6)：16-19(in Chinese)．
[17]
刘德伟,黄越辉,王伟胜,等．考虑调峰和电网输送约束的省级系统风电消纳能力分析[J]．电力系统自动化,2011,35(25)：77-81．Liu Dewei,Huang Yuehui,Wang Weisheng,et al．Analysis on provincial system available capability of accommodating wind power considering peak load dispatch and transmission constraints[J]．Automation of Electric Power Systems,2011,35(25)：77-81(in Chinese)．
[18]
贾文昭,康重庆,李丹,等．基于日前风功率预测的风电消纳能力评估方法[J]．电网技术,2012,36(8)：69-75．Jia Wenzhao,Kang Chongqing,Li Dan,et al．Evaluation on capability of wind power accommodation based on its day-ahead forecasting[J]．Power System Technology,2012,36(8)：69-75(in Chinese)．
[19]
Zhang Shu,Song Yonghua,Hu Zechun,et al．Robust optimization method based on scenario analysis for unit commitment considering wind uncertainties[C]//IEEE Power and Energy Society General Meeting．San Diego,USA：IEEE,2011：1-7．
[20]
翟桥柱．电力系统优化调度模型与算法研究[D]．西安：西安交通大学,2005．
[21]
Reliability Test System Task Force of the Application of Probability Methods Subcommittee．IEEE reliability test system[J]．IEEE Transactions on Power Apparatus and Systems,1979,98(6)：2047-2054．
