计及可控负荷的微网自治调度模型
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摘要
随着清洁能源发电渗透率的提高,弃风弃光现象日趋严重。对微网运行架构及其内部源荷架构进行分析,针对清洁能源就地消纳提出微网自治策略,考虑可控负荷的参与,并建立了电热联合鲁棒调度模型。在模型中,利用鲁棒调度的思想对清洁能源发电及负荷不确定性进行建模,并利用可中断负荷措施对可控负荷的响应潜力进行发掘。仿真结果表明,可控负荷的参与提高了微网运行的灵活性,所提自治策略可有效消纳清洁能源发电,实现微网经济运行。加入鲁棒性控制后,系统调度结果趋于保守,备用和成本增加。
With increasing penetration of renewable energy resources(RER), renewable energy abandonment becomes more and more serious. Autonomy strategy for microgrid was proposed aiming at RER local consumption based on microgrid operation framework analysis and its internal power and load structures. A model of combined heat and power robust dispatch was constructed with controllable load(CL) participation taken into consideration. Robust dispatch theory was used when RER and loads were modeled and load interruption measures were used to explore CL interaction potential. According to case study results, microgrid operation flexibility was improved by controllable load participation, and RER could be efficiently accommodated through application of the proposed strategy and economic operation of microgrid was achieved. Dispatch results tend to be more conservative with robust control added and reserve capacity and cost is increased.
With increasing penetration of renewable energy resources(RER), renewable energy abandonment becomes more and more serious. Autonomy strategy for microgrid was proposed aiming at RER local consumption based on microgrid operation framework analysis and its internal power and load structures. A model of combined heat and power robust dispatch was constructed with controllable load(CL) participation taken into consideration. Robust dispatch theory was used when RER and loads were modeled and load interruption measures were used to explore CL interaction potential. According to case study results, microgrid operation flexibility was improved by controllable load participation, and RER could be efficiently accommodated through application of the proposed strategy and economic operation of microgrid was achieved. Dispatch results tend to be more conservative with robust control added and reserve capacity and cost is increased.
引文
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[18]吴雄,王秀丽,王建学,等.微网经济调度问题的混合整数规划方法[J].中国电机工程学报,2013,33(28):1-8.Wu Xiong,Wang Xiuli,Wang Jianxue,et al.Economic generation scheduling of a microgrid using mixed integer linear programming[J].Proceedings of the CSEE,2013,33(28):1-8(in Chinese).
[2]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 Xing,Xue Feng,et al.A review on impacts of wind power uncertainties on power systems[J].Proceedings of CSEE,2014,34(29):5029-5040(in Chinese).
[3]丁明,王伟胜,王秀丽,等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报,2014,34(1):1-14.Ding Ming,Wang Weisheng,Wang Xiuli,et al.A review on the effect of large-scale PV generation on power systems[J].Proceedings of CSEE,2014,34(1):1-14(in Chinese).
[4]程林,刘琛,朱守真,等.基于多能协同策略的能源互联微网研究[J].电网技术,2016,40(1):132-138.Cheng Lin,Liu Chen,Zhu Shouzhen,et al.Study of micro energy internet based on multi-energy interconnected strategy[J].Power System Technology,2016,40(1):132-138(in Chinese).
[5]郭力,刘文建,焦冰琦,等.独立微网系统的多目标优化规划设计方法[J].中国电机工程学报,2014,34(4):524-536.Guo Li,Liu Wenjian,Jiao Bingqi,et al.Multi-objective optimal planning design method for stand-alone microgrid system[J].Proceedings of CSEE,2014,34(4):524-536(in Chinese).
[6]王毅,于明,李永刚.基于改进微分进化算法的风电直流微网能量管理[J].电网技术,2015,39(9):2392-2397.Wang Yi,Yu Ming,Li Yonggang.Energy management of wind turbine-based DC microgrid using improved differential algorithm[J].Power System Technology,2015,39(9):2392-2397(in Chinese).
[7]张明锐,谢青青,李路遥,等.考虑电动汽车能量管理的微网储能容量优化[J].中国电机工程学报,2015,35(18):4663-4673.Zhang Mingrui,Xie Qingqing,Li Luyao,et al.Optimal sizing of energy storage for microgrids considering energy management of electric vehicles[J].Proceedings of the CSEE,2015,35(18):4663-4673(in Chinese).
[8]闫占新,黄荣辉,刘俊勇,等.冷热电联供微电网系统的节能经济运行策略[J].电网技术,2013,38(s1):24-28.Yan Zhanxin,Huang Ronghui,Liu Junyong,et al.Energy-saving operation strategy of the combined cooling heating and power system micro grid[J].Power System Technology,2013,38(s1):24-28(in Chinese).
[9]魏大钧,张承慧,孙波.计及变负荷特性的小型冷热电联供系统经济优化运行研究[J].电网技术,2015,39(11):3240-3246.Wei Dajun,Zhang Chenghui,Sun Bo,et al.Economic optimal operation of micro combined cooling heating and power system considering off-design performance[J].Power System Technology,2015,39(11):3240-3246(in Chinese).
[10]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).
[11]Mohsenian-Rad H.Optimal demand bidding for time-shiftable loads[J].IEEE Transactions on Power Systems,2015,30(2):939-951.
[12]Wang Y,Ai X,Tan Z F,et al.Interactive dispatch modes and bidding strategy of multiple virtual power plants based on demand response and game theory[J].IEEE Transactions on Smart Grid,2016,7(1):510-519.
[13]Zhang X X.Optimal scheduling of critical peak pricing considering wind commitment[J].IEEE Transactions on Sustainable Energy,2014,5(2):637-645.
[14]Vlachos A G,Biskas P N.Demand response in a real-time balancing market clearing with pay-as-bid pricing[J].IEEE Transactions on Smart Grid,2013,4(4):1966-1975.
[15]张丽娟.含多种分布式电源的微网系统环保经济优化调度研究[D].北京:华北电力大学,2015.
[16]戢伟.基于电力供暖的促进风电消纳建模与仿真研究[D].济南:山东大学,2014.
[17]彭春华,谢鹏,詹骥文,等.基于改进细菌觅食算法的微网鲁棒经济调度[J].电网技术,2014,38(9):2392-2398.Peng Chunhua,Xie Peng,Zhan Jiwen,et al.Robust economic dispatch of microgrid using improved bacterial foraging algorithm[J].Power System Technology,2014,38(9):2392-2398(in Chinese).
[18]吴雄,王秀丽,王建学,等.微网经济调度问题的混合整数规划方法[J].中国电机工程学报,2013,33(28):1-8.Wu Xiong,Wang Xiuli,Wang Jianxue,et al.Economic generation scheduling of a microgrid using mixed integer linear programming[J].Proceedings of the CSEE,2013,33(28):1-8(in Chinese).