[1] 康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41(9): 1-11 KANG Chongqing, YAO Liangzhong. Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 1-11 [2] 艾芊, 郝然. 多能互补、集成优化能源系统关键技术及挑战[J]. 电力系统自动化, 2018, 42(4): 1-10, 46 AI Qian, HAO Ran. Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J]. Automation of Electric Power Systems, 2018, 42(4): 1-10, 46 [3] 贾宏杰, 王丹, 徐宪东, 等. 区域综合能源系统若干问题研究[J]. 电力系统自动化, 2015, 39(7): 198-207 JIA Hongjie, WANG Dan, XU Xiandong, et al. Research on some key problems related to integrated energy systems[J]. Automation of Electric Power Systems, 2015, 39(7): 198-207 [4] 刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38(14): 4013-4022 LIU Yixin, GUO Li, WANG Chengshan. Economic dispatch of microgrid based on two stage robust optimization[J]. Proceedings of the CSEE, 2018, 38(14): 4013-4022 [5] 向月, 刘俊勇, 魏震波, 等. 考虑可再生能源出力不确定性的微电网能量优化鲁棒模型[J]. 中国电机工程学报, 2014, 34(19): 3063-3072 XIANG Yue, LIU Junyong, WEI Zhenbo, et. al. Robust model of microgrid energy optimization with uncertain renewable energy sources[J]. Proceedings of the CSEE, 2014, 34(19): 3063-3072 [6] 冯智慧, 吕林, 许立雄. 基于能量枢纽的沼-风-光全可再生能源系统日前-实时两阶段优化调度模型[J]. 电网技术, 2019, 43(9): 3101-3109 FENG Zhihui, LÜ Lin, XU Lixiong. Two-stage optimal dispatch model of day-ahead and real-time for biogas-wind-solar fully renewable energy system based on energy hub[J]. Power System Technology, 2019, 43(9): 3101-3109 [7] 李美成, 梅文明, 张凌康, 等. 基于可再生能源不确定性的多能源微网调度优化模型研究[J]. 电网技术, 2019, 43(4): 1260-1270 LI Meicheng, MEI Wenming, ZHANG Lingkang et. al. Research on multi-energy microgrid scheduling optimization model based on renewable energy uncertainty[J]. Power System Technology, 2019, 43(4): 1260-1270 [8] 王成山, 李鹏. 分布式发电、微网与智能配电网的发展与挑战[J]. 电力系统自动化, 2010, 34(2): 10-14 WANG Chengshan, LI Peng. Development and challenges of distributed generation, the micro-grid and smart distribution system[J]. Automation of Electric Power Systems, 2010, 34(2): 10-14 [9] 顾伟, 陆帅, 姚帅, 等. 综合能源系统混合时间尺度运行优化[J]. 电力自动化设备, 2019, 39(8): 203-213 GU Wei, LU Shuai, YAO Shuai, et. al. Hybrid time-scale operation optimization of integrated energy system[J]. Electric Power Automation Equipment, 2019, 39(8): 203-213 [10] 姚帅, 顾伟, 陆帅, 等. 一种考虑建筑物蓄热特性的分布式冷热电联供系统运行优化方法[J]. 分布式能源, 2018, 3(4): 16-23 YAO Shuai, GU Wei, LU Shuai, et. al. An operational optimization method of combined cooling, heating and power system considering heat storage characteristics of buildings[J]. Distributed Energy, 2018, 3(4): 16-23 [11] ABEDI S, ALIMARDANI A, GHAREHPETIAN G B, et al. A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems[J]. Renewable and Sustainable Energy Reviews, 2012, 16(3): 1577-1587. [12] NIKNAM T, MEYMAND H Z, MOJARRAD H D. An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants[J]. Energy, 2011, 36(1): 119-132. [13] ZHANG W, LIU Y T. Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm[J]. International Journal of Electrical Power & Energy Systems, 2008, 30(9): 525-532. [14] RONG A Y, LAHDELMA R. An efficient linear programming model and optimization algorithm for trigeneration[J]. Applied Energy, 2005, 82(1): 40-63. [15] MEHLERI E D, SARIMVEIS H, MARKATOS N C, et al. A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level[J]. Energy, 2012, 44(1): 96-104.
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