朱兰;牛培源;唐陇军;杨秋霖;姬星羽;

• 1:上海电力大学电气工程学院
• 2:国家电网华东电力调控分中心

摘要(Abstract)：

通过迅速发展的能源互联网技术,微能源网能够提供电、热、气等多类型的能源,实现多种能源的统一调度。直接负荷控制作为一种重要的需求响应方式参与微能源网优化运行,但风光出力和受控负荷响应直接负荷控制的不确定性会对优化运行结果产生重要影响。建立了考虑受控负荷响应功率不确定性的直接负荷控制模型,使用(p,w)-norm不确定集刻画响应直接负荷控制的负荷功率和风光预测出力的不确定性,建立微能源网鲁棒随机优化调度模型,通过(p,w)-norm不确定集下的鲁棒线性优化理论,实现随机优化模型向确定优化模型的转化。算例结果验证了直接负荷控制参与微能源网优化运行的作用和考虑直接负荷控制不确定的必要性,以及鲁棒性指标和波动量指标对经济性和鲁棒性的协调作用。

关键词(KeyWords)： 微能源网;直接负荷控制;(p,w)-norm不确定集;鲁棒优化;不确定性

Abstract:

Keywords:

基金项目(Foundation): 国家青年自然科学基金项目(51807114);; 上海市科委项目(18DZ1203200);; 上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)~~

作者(Author): 朱兰;牛培源;唐陇军;杨秋霖;姬星羽;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.1380

参考文献(References)：

• [1]董朝阳，赵俊华，文福拴，等．从智能电网到能源互联网：基本概念与研究框架[J]．电力系统自动化，2014,38(15):1-11.Dong Zhaoyang,Zhao Junhua,Wen Fushuan,et al.From smart grid to energy internet:basic concept and research framework[J].Automation of Electric Power Systems, 2014,38(15):1-11(in Chinese).
• [2]马腾飞，吴俊勇，郝亮亮．含冷热电三联供的微能源网能量流计算及综合仿真[J]．电力系统自动化，2016,40(23):22-27.Ma Tengfei,Wu Junyong,Hao Liangliang.Energy flow calculation and integrated simulation of micro-energy grid with combined cooling, heating and power[J]. Automation of Electric Power Systems,2016,40(23):22-27(in Chinese).
• [3]高滢，王芃，薛友，等．计及需求侧管理的电-气集成能源系统协同规划[J]．电力系统自动化，2018,42(13):3-11.Gao Ying,Wang Peng,Xue You,et al.Collaborative planning of electricity-gas energy systems considering demand side management[J].Automation of Electric Power Systems,2018,42(13):3-11(in Chinese).
• [4]唐为民，王蓓蓓，施伟．基于模糊动态规划的直接负荷控制策略研究[J]．中国电力，2003,36(8):24-28Tang Weimin,Wang Beibei,Shi Wei.The strategy research of direct load control on fuzzy dynamic program[J].Electric Power,2003,36(8):24-28(in Chinese).
• [5]张钦，王锡凡，别朝红，等．电力市场下直接负荷控制决策模型[J]．电力系统自动化，2010,34(9):23-28.Zhang Qin,Wang Xifan,Bie Zhaohong,et al.A decision model of direct load control in electricity markets[J].Automation of Electric Power Systems,2010,34(9):23-28(in Chinese).
• [6]高赐威，李倩玉，李扬．基于DLC的空调负荷双层优化调度和控制策略[J]．中国电机工程学报，2014,34(10):1546-1555.Gao Ciwei,Li Qianyu,Li Yang.Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control[J].Proceedings of the CSEE,2014,34(10):1546-1555(in Chinese).
• [7]艾欣，周树鹏，赵阅群，等．基于机会约束规划的直接负荷控制及可中断负荷联合优化调度研究[J]．现代电力，2016,33(6):1-6.Ai Xin,Zhou Shupeng,Zhao Yuequn,et al.Research on joint optimal dispatch of DLC and IL based on chance constrained programming[J].Modern Electric Power,2016,33(6):1-6(in Chinese).
• [8]孙宇军，李扬，王蓓蓓，等．计及不确定性需求响应的日前调度计划模型[J]．电网技术，2014,38(10):2708-2714.Sun Yujun,Li Yang,Wang Beibei,et al.A day-ahead scheduling model considering demand response and its uncertainty[J].Power System Technology,2014,38(10):2708-2714(in Chinese).
• [9]罗纯坚，李姚旺，许汉平，等．需求响应不确定性对日前优化调度的影响分析[J]．电力系统自动化，2017,41(5):22-29.Luo Chunjian,Li Yaowang,Xu Hanping,et al.Influence of demand response uncertainty on day-ahead optimization dispatch[J].Automation of Electric Power Systems,2017,41(5):22-29(in Chinese).
• [10] Zhang C,Xu Y,Dong Z Y,et al.Robust operation of microgrids via two-stage coordinated energy storage and direct load control[J].IEEE Transactions on Power Systems,2016,PP(99):1-1.
• [11]李鹏，韩鹏飞，陈安伟，等．含高密度间歇性能源的交直流混合微网模糊随机优化运行[J]．中国电机工程学报，2018,38(10):2956-2965.Li Peng,Han Pengfei,Chen Anwei,et al.Fuzzy random optimal operation of hybrid AC/DC microgrid with high density intermittent energy sources[J]. Proceedings of the CSEE, 2018, 38(10):2956-2965(in Chinese).
• [12]税月，刘俊勇，高红均，等．考虑风电不确定性的电热综合系统分布鲁棒协调优化调度模型[J]．中国电机工程学报，2018,38(24):7235-7247.Shui Yue, Liu Junyong, Gao Hongjun, et al. A distributionally robust coordinated dispatch model forintegrated electricity and heating systems considering uncertainty of wind power[J].Proceedings of the CSEE,2018,38(24):7235-7247(in Chinese).
• [13]魏韡，刘锋，梅生伟．电力系统鲁棒经济调度：(一)理论基础[J]．电力系统自动化，2013,37(17):37-43.Wei Wei,Liu Feng,Mei Shengwei.Robust and economical scheduling methodology for power systems:part one theoretical formulations[J].Automation of Electric Power Systems,2013,37(17):37-43(in Chinese).
• [14]罗红．(P,w)-norm不确定集下的鲁棒优化理论及其在投资组合中的应用[D]．成都：西南财经大学，2014.
• [15]朱兰，严正，杨秀，等．计及需求侧响应的微网综合资源规划方法[J]．中国电机工程学报，2014,34(16):2621-2628.Zhu Lan,Yan Zheng,Yang Xiu,et al.Integrated resources planning in microgrid based on modeling demand response[J].Proceedings of the CSEE,2014,34(16):2621-2628(in Chinese).
• [16] Kurucz C N,Brandt D,Sim S.A linear programming model for reducing peak through customer load control programs[J].IEEE Transactions on Power Systems,1996,11(4):1817-1824.
• [17]朱兰，王吉，唐陇军，等．计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]．电网技术，2019,43(1):116-125.Zhu Lan,Wang Ji,Tang Longjun,et al.Robust stochastic optimal dispatching of integrated energy systems considering refined powerto-gas model[J].Power System Technology,2019,43(1):116-125(in Chinese).
• [18]覃岭，林济铿，戴赛，等．基于改进轻鲁棒优化模型的风、火机组组合[J]．中国电机工程学报，2016,36(15):4108-4118.Qin Ling, Lin Jikeng, Dai Sai, et al. Improved light robust optimization model based wind-thermal unit commitment[J].Proceedings of the CSEE,2016,36(15):4108-4118(in Chinese).
• [19] Bertsimasl D,Sim M.The price of robust[J].Operations Research,2004,52(1):35-53.
• [20]熊焰，吴杰康，王强，等．风光气储互补发电的冷热电联供优化协调模型及求解方法[J]．中国电机工程学报，2015,35(14):3616-3625.Xiong Yan,Wu Jiekang,Wang Qiang,et al.An optimization coordination model and solution for combined cooling,heating and electric power systems with complimentary generation of wind,PV,gas and energy storage[J].Proceedings of the CSEE,2015,35(14):3616-3625(in Chinese).
• [21]倪伟，吕林，向月，等．基于机会约束规划的能源集线器系统气电购置优化建模[J]．电网技术，2018,42(8):2477-2486.Ni Wei,LüLin,Xiang Yue,et al.Optimal gas-electricity purchase model for energy hub system based on chance-constrained programming[J]. Power System Technology, 2018, 42(8):2477-2486(in Chinese).
• [22]邹云阳，杨莉，李佳勇，等．冷热电气多能互补的微能源网鲁棒优化调度[J]．电力系统自动化，2019,43(14):65-72.Zou Yunyang,Yang Li,Li Jiayong,et al.Robust optimal dispatch of micro-energy grid with multi-energy complementation of cooling heating power and natural gas[J].Automation of Electric Power Systems,2019,43(14):65-72(in Chinese).
• [23]李杨，刘伟佳，赵俊华，等．含电转气的电-气-热系统协同调度与消纳风电效益分析[J]．电网技术，2016,40(12):3680-3688.Li Yang,Liu Weijia,Zhao Junhua,et al.Optimal dispatch of combined electricity-gas-heat energy systems with power-to-gas devices and benefit analysis of wind power accommodation[J].Power System Technology,2016,40(12):3680-3688(in Chinese).
• [24]张有兵，王嘉瑶，杨晓东，等．计及电转气技术的区域综合能源系统在线优化方法[J]．电网技术，2018,42(8):2467-2476.Zhang Youbing,Wang Jiayao,Yang Xiaodong,et al.An online optimal scheduling approach for regional integrated energy system considering P2G[J]. Power System Technology, 2018, 42(8):2467-2476(in Chinese).
• [25]李正茂，张峰，梁军，等．含电热联合系统的微电网运行优化[J]．中国电机工程学报，2015,35(14):3569-3576.Li Zhengmao,Zhang Feng,Liang Jun,et al.Optimization on microgrid with combined heat and power system[J].Proceedings of the CSEE,2015,35(14):3569-3576(in Chinese).
• [26]门向阳，曹军，王泽森，等．能源互联微网型多能互补系统的构建与储能模式分析[J]．中国电机工程学报，2018,38(19):5727-5737.Men Xiangyang,Cao Jun,Wang Zesen,et al.The constructing of multi-energy complementary system of energy internet microgrid and energy storage model analysis[J].Proceedings of the CSEE,2018,38(19):5727-5737(in Chinese).
• [27]陈沼宇，王丹，贾宏杰，等．考虑P2G多源储能型微网日前最优经济调度策略研究[J]．中国电机工程学报，2017,37(11):3067-3077Chen Zhaoyu,Wang Dan,Jia Hongjie,et al.Research on optimal day-ahead economic dispatching strategy for microgrid considering P2G and multi-source energy storage system[J].Proceedings of the CSEE,2017,37(11):3067-3077(in Chinese).
• [28]杨志鹏，张峰，梁军，等．含热泵和储能的冷热电联供型微网经济运行[J]．电网技术，2018,42(6):1735-1742.Yang Zhipeng,Zhang Feng,Liang Jun,et al.Economic generation scheduling of cchp microgrid with heat pump and energy storage[J].Power System Technology,2018,42(6):1735-1742(in Chinese).
• [29]魏震波，黄宇涵，高红均，等．含电转气和热电解耦热电联产机组的区域能源互联网联合经济调度[J]．电网技术，2018,42(11):3512-3519.Wei Zhenbo,Huang Yuhan,Gao Hongjun,et al.Joint economic scheduling of power-to-gas and thermoelectric decoupling chp in regional energy internet[J].Power System Technology,2018,42(11):3512-3519(in Chinese).
• [30]艾欣，陈政琦，孙英云，等．基于需求响应的电-热-气耦合系统综合直接负荷控制协调优化研究[J]．电网技术，2019,43(4):1160-1169.Ai Xin,Chen Zhengqi,Sun Yingyun,et al.Study on integrated DLC coordination optimization of electric-thermal-gas coupling system considering demand response[J].Power System Technology,2019,43(4):1160-1169(in Chinese).
• [31] Pazouki S,Haghifam M R.Optimal planning and scheduling of energy hub in presence of wind,storage and demand response under uncertainty[J].International Journal of Electrical Power&Energy Systems,2016(80):219-239.
• [32]肖天颖，裴玮，陈乃仕，等．考虑空调削负荷能力不确定性的孤岛最大运行时长评估[J/OL]．中国电机工程学报．https://doi.org/10.13334/j.0258-8013.pcsee.181449.Xiao Tianying,Pei Wei,Chen Naishi,et al.Maximum operation duration assessment of isolated island considering the uncertainty of load reduction capability of air conditioner[J/OL].Proceedings of the CSEE.https://doi.org/10.13334/j.0258-8013.pcsee.181449(in Chinese).