[1] 孙近文,万云飞,郑培文,等.基于需求侧管理的电动汽车有序充放电策略[J].电工技术学报,2014,29(8):64-69. Sun Jinwen,Wan Yunfei,Zheng Peiwen,et al.Coordinated charging and discharging strategy for electric vehicles based on demand side management[J].Transactions of China Electrotechnical Society,2014,29(8):64-69. [2] 刘宇辉,陈文良.济南奥体中心水蓄冷空调系统自动控制浅谈[J].电气应用,2008,28(5):64-71. Liu Yuhui,Chen Wenliang.Study on automation control of water thermal storage air conditioning system in Ji’nan Olympic Sports Center[J].Electrotechnical Application,2008,28(5):64-71. [3] 吕泉,姜浩,陈天佑,等.基于电锅炉的热电厂消纳风电方案及其国民经济评价[J].电力系统自动化,2014,38(1):6-12. Lü Quan,Jiang Hao,Chen Tianyou,et al. Wind power accommodation by combined heat and power plant with electric boiler and its national economic evaluation[J].Automation of Electric Power Systems,2014,38(1):6-12. [4] 王学良,于继来.分布式抽水蓄能系统的运营策略及其效益评估[J].电力系统保护与控制,2012,40(7):129-137,142. Wang Xueliang,Yu Jilai.The operation strategy and its benefit assessment of the distributed pumped storage system[J].Power System Protection and Control,2012,40(7):129-137,142. [5] 刘学,姜新建,张超平,等.大容量飞轮储能系统优化控制策略[J].电工技术学报,2014,29(3):75-82. Liu Xue,Jiang Xinjian,Zhang Chaoping,et al.Optimization control strategies of large capacity flywheel energy storage system[J].Transactions of China Electrotechnical Society,2014,29(3):75-82. [6] 娄素华,易林,吴耀武,等.基于可变寿命模型的电池储能容量优化配置[J].电工技术学报,2015,30(4):265-271. Lou Suhua,Yi Lin,Wu Yaowu,et al.Optimizing deployment of battery energy storage based on lifetime predication[J].Transactions of China Electrotechnical Society,2015,30(4):265-271. [7] 张莉,吴延平,李琛,等.基于超级电容器储能系统的均压放电控制策略[J].电工技术学报,2014,29(4):329-333. Zhang Li,Wu Yanping,Li Chen,et al.Control strategy for balanced discharge based on supercapacitor storage system[J].Transactions of China Electrotechnical Society,2014,29(4):329-333. [8] 张纯江,董杰,刘君,等.蓄电池与超级电容混合储能系统的控制策略[J].电工技术学报,2014,29(4):334-340. Zhang Chunjiang,Dong Jie,Liu Jun,et al.A control strategy for battery-ultracapacitor hybrid energy storage system[J].Transactions of China Electrotechnical Society,2014,29(4):334-340. [9] 张川,杨雷,牛童阳,等.平抑风电出力波动储能技术比较及分析[J].电力系统保护与控制,2015,43(7):149-154. Zhang Chuan,Yang Lei,Niu Tongyang,et al.Comparison and analysis of energy storage technology to balance fluctuation of wind power output[J].Power System Protection and Control,2015,43(7):149-154. [10]赵庆珠.蓄冷技术与系统设计[M].北京:中国建筑工业出版社,2012. [11]王勇,赵庆珠.冰蓄冷系统的优化控制分析[J].暖通空调,1996(3):3-6. Wang Yong,Zhao Qingzhu.Optimal control strategy for ice storage systems[J].Heating Ventilating & Air Conditioning,1996(3):3-6. [12]胡泽春,丁华杰,孔涛.风电—抽水蓄能联合日运行优化调度模型[J].电力系统自动化,2012,36(2):36-41. Hu Zechun,Ding Huajie,Kong Tao.A joint daily operational optimization model for wind power and pumped-storage plant[J]. Automation of Electric Power Systems,2012,36(2):36-41. [13]柴大鹏,成欢,葛宇剑,等.火电—抽水蓄能联合运营系统的效益分析及优化算法研究[J].华东电力,2014,42(5):1012-1019. Chai Dapeng,Cheng Huan,Ge Yujian,et al.Benefit analysis and optimization algorithm for thermal-pumped storage power joint operating system[J].East China Electric Power,2014,42(5):1012-1019. [14]王晓晖,张粒子,程世军.多元电力系统中抽水蓄能的经济性问题研究[J].电力系统保护与控制,2014,42(4):8-15. Wang Xiaohui,Zhang Lizi,Cheng Shijun.Economic analysis of pumped-storage unit in electricity system with multi-type power sources[J].Power System Protection and Control,2014,42(4):8-15. [15]肖白,丛晶,高晓峰,等.风电-抽水蓄能联合系统综合效益评价方法[J].电网技术,2014,38(2):400-404. Xiao Bai,Cong Jing,Gao Xiaofeng,et al.A method to evaluate comprehensive benefits of hybrid wind power-pumped storage system[J].Power System Technology,2014,38(2):400-404. [16]Li Dinglin,Chen Yingjie,Zhang Kun,et al.Economic evaluation of wind-powered pumped storage system[J].Systems Engineering Procedia,2012,4:107-115. [17]樊瑛,龙惟定.冰蓄冷系统的碳减排分析[J].同济大学学报(自然科学版),2011,39(1):105-108.Fan Ying,Long Weiding.Carbon dioxide emissions reduction analysis of ice storage system[J].Journal of Tongji University(Natural Science),2011,39(1):105-108. [18]Power Systems Test Case Archive[EB/OL].http://www.ee.washington.edu/research/pstca. [19]李文沅.电力系统安全经济运行—模型与方法[M].重庆:重庆大学出版社,1989. [20]罗海明,高赐威.能效电厂规划评估软件设计与实现[J].电力需求侧管理,2014,16(1):2-10. Luo Haiming,Gao Ciwei.Design and implementation of efficiency power plant planning and evaluation software[J].Power Demand Side Management,2014,16(1):2-10.
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