基于随机模型预测控制的电网联合调度
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摘要
针对大规模风电并网给电力系统运行调度带来的问题,指出风电在小时级的波动性和不确定性是风电并网给系统运行带来的根本挑战,为应对该挑战,利用随机模型预测控制对含负荷响应的系统联合调度运行进行建模,并从数学上证明运行策略的全局最优性。通过算例仿真验证了负荷响应在小时级的灵活性对系统运行的经济性和风电消纳的重要作用。
Aiming at the problems brought by large-scale wind power integration to the operation and dispatch of power system,it is pointed out that the hourly fluctuation and uncertainty of wind power are the fundamental challenges,for which,the stochastic model predictive control is used for the modelling of system combined dispatch and ope-ration with load response,and the global optimality of the operation strategy is verified mathematically. Case simulation verifies the importance of the flexibility of load response in hourly time scale to the economy of system operation and wind power accommodation.
Aiming at the problems brought by large-scale wind power integration to the operation and dispatch of power system,it is pointed out that the hourly fluctuation and uncertainty of wind power are the fundamental challenges,for which,the stochastic model predictive control is used for the modelling of system combined dispatch and ope-ration with load response,and the global optimality of the operation strategy is verified mathematically. Case simulation verifies the importance of the flexibility of load response in hourly time scale to the economy of system operation and wind power accommodation.
引文
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[19] Wind power simulation data[EB/OL].[2018-10-01].http://www.eee.hku.hk/～yhhou/DataV2.pdf.
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[3] QIN Zhinjun,HOU Yunhe,LEI Shunbo,et al.Quantification of intra-hour security-constrained flexibility region[J].IEEE Transactions on Sustainable Energy,2017,8(2):671-684.
[4] 刘吉臻.大规模新能源电力安全高效利用基础问题[J].中国电机工程学报,2013,33(16):1-8.LIU Jizhen.Basic issues of the utilization of large-scale renewable power with high security and efficiency[J].Proceedings of the CSEE,2013,33(16):1-8.
[5] 田世明,王蓓蓓,张晶.智能电网条件下的需求响应关键技术[J].中国电机工程学报,2014,34(22):3576-3589.TIAN Shiming,WANG Beibei,ZHANG Jing.Key technologies for demand response in smart grid[J].Proceedings of the CSEE,2014,34(22):3576-3589.
[6] 曾丹,姚建国,杨胜春,等.柔性负荷与电网互动的系统动力学仿真模型[J].中国电机工程学报,2014,34(25):4227-4233.ZENG Dan,YAO Jianguo,YANG Shengchun,et al.System dynamics simulation model of flexible load in interactive power grid[J].Proceedings of the CSEE,2014,34(25):4227-4233.
[7] CHEN Zhi,WU Lei,FU Yong.Real-time price-based demand response management for residential appliances via stochastic optimization and robust optimization[J].IEEE Transactions on Smart Grid,2012,3(4):1822-1831.
[8] HU Qinran,LI Fangxing.Hardware design of smart home energy ma-nagement system with dynamic price response[J].IEEE Transac-tions on Smart Grid,2013,4(4):1878-1887.
[9] 汤奕,邓克愚,孙华东,等.智能家电参与低频减载协调配合方案研究[J].电网技术,2013,37(10):2861-2867.TANG Yi,DENG Keyu,SUN Huadong,et al.Research on coordination scheme for smart household appliances participating underfrequency load shedding[J].Power System Technology,2013,37(10):2861-2867.
[10] LU Ning.An evaluation of the HVAC load potential for providing load balancing service[J].IEEE Transactions on Smart Grid,2012,3(3):1263-1270.
[11] 杨瑾,石坤,杨建林,等.考虑平抑风电波动的空调冷水机组群控策略[J].电力自动化设备,2018,38(7):108-113.YANG Jin,SHI Kun,YANG Jianlin,et al.Group control strategy of air conditioning water chiller considering smoothing wind power fluctuations[J].Electrical Power Automation Equipment,2018,38(7):108-113.
[12] 唐哲,吴江,姚娜娜,等.考虑电网备用需求的高耗能企业鲁棒生产调度方法[J].电网技术,2016,40(7):2128-2133.TANG Zhe,WU Jiang,YAO Nana,et al.A robust production sche-duling method of high energy-consuming enterprises considering providing power grid with reserve[J].Power System Technology,2016,40(7):2128-2133.
[13] 司风琪,顾慧,叶亚兰,等.基于混沌粒子群算法的火电厂厂级负荷在线优化分配[J].中国电机工程学报,2011,31(26):103-109.SI Fengqi,GU Hui,YE Yalan,et al.Online unit load economic dispatch based on chaotic-particle swarm optimization algorithm[J].Proceedings of the CSEE,2011,31(26):103-109.
[14] 李亚平,周竞,鞠平,等.柔性负荷互动影响量化评估方法[J].电力系统自动化,2015,39(17):26-32,67.LI Yaping,ZHOU Jing,JU Ping,et al.Quantitative assessment method for interactive impact of flexible load[J].Automation of Electric Power Systems,2015,39(17):26-32,67.
[15] 程瑜,安甦.主动负荷互动响应行为分析[J].电力系统自动化,2013,37(20):63-70.CHENG Yu,AN Su.Analysis of active load’s interaction response behavior[J].Automation of Electric Power Systems,2013,37(20):63-70.
[16] 赵鸿图,朱治中,于尔铿.电力市场中需求响应市场与需求响应项目研究[J].电网技术,2010,34(5):146-153.ZHAO Hongtu,ZHU Zhizhong,YU Erkeng.Study on demand respon-se markets and programs in electricity markets[J].Power System Technology,2010,34(5):146-153.
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[18] 姚建国,杨胜春,王珂,等.平衡风功率波动的需求响应调度框架与策略设计[J].电力系统自动化,2014,38(9):85-92.YAO Jianguo,YANG Shengchun,WANG Ke,et al.Framework and strategy design of demand response scheduling for balancing wind power fluctuation[J].Automation of Electric Power Systems,2014,38(9):85-92.
[19] Wind power simulation data[EB/OL].[2018-10-01].http://www.eee.hku.hk/～yhhou/DataV2.pdf.