基于随机生产模拟的日前发电–备用双层决策模型A Day-ahead Power Generation-reserve Bi-level Decision-making Model for Power System Based on Probabilistic Production Simulation
周明;李琰;李庚银;
摘要(Abstract):
随着波动性的风光等新能源并网比例不断提高,电力系统需要配备更多的调节能力。如何量化应对新能源出力等不确定性所需的调节能力是大规模新能源接入系统面临的一个新问题。该文采用通用生成函数(universal generating function,UGF)建立包括风电出力、负荷出力及机组随机故障的不确定性模型,进而将UGF与随机生产模拟(probabilistic production simulation,PPS)相结合,旨在建立反映发电侧调节能力的运行备用容量与可靠性之间的关系;并通过建立日前发电-备用双层模型实现确保系统可靠运行的发电计划。上层规划模型根据预测的负荷、结合风电预测出力制定基于指定可靠性的备用容量约束的日前机组组合方案;下层模型考虑各种不确定性因素,利用基于UGF的PPS建立系统运行备用与可靠性的量化关系,进而校验上层规划的机组组合方案是否能提供足够的备用,不足时则反馈给上层进行修正。通过改进的IEEE-118节点系统的仿真计算验证了所提模型的合理性和方法的有效性。
关键词(KeyWords): 运行备用;可靠性;机组组合;随机生产模拟;通用生成函数
基金项目(Foundation): 国家重点研发计划项目(2016YFB0900100);; 国家自然科学基金项目(51577061)~~
作者(Author): 周明;李琰;李庚银;
Email:
DOI: 10.13335/j.1000-3673.pst.2018.0643
参考文献(References):
- [1]国家发展改革委国家能源局关于提升电力系统调节能力的指导意见[R].北京:国家发展改革委,2018.
- [2]东北电力辅助服务市场专项改革试点工作正式启动[R].辽宁:国家能源局东北监管局,2016.
- [3]李茜,刘天琪,何川,等.含风电系统的有功和备用协调优化方法[J].电力系统自动化设备,2016,36(7):7-14.Li Qian,Liu Tianqi,He Chuan,et al.Coordinated optimization of active power and reserve capacity for power grid with wind farm[J].Electric Power Automation Equipment,2016,36(7):7-14(in Chinese).
- [4]娄素华,王志磊,吴耀武,等.基于机会约束规划的含大规模风电电力系统协调经济调度[J].电工技术学报,2013,28(10):337-345.Lou Suhua,Wang Zhilei,Wu Yaowu,et al.Coordinated economic dispatch for power system with significant wind power generation based on chance-constrained programming[J].Transactions of China electrotechnical society,2013,28(10):337-345(in Chinese).
- [5]赵晋泉,唐洁,罗卫华,等.一种含风电电力系统的日前发电计划和旋转备用决策模型[J].电力自动化设备,2014,34(5):21-27.Zhao Jinquan,Tang Jie,Luo Weihua,et al.Day-ahead generation scheduling and spinning reserve decision-making model for power grid containing wind power[J].Electric Power Automation Equipment,2014,34(5):21-27(in Chinese).
- [6]卢鹏铭,温步瀛,江岳文.基于多时间尺度协调机组组合的含风电系统旋转备用优化研究[J].电力系统保护与控制,2015,43(5):94-100.Lu Pengming,Wen Buying,Jiang Yuewen.Study on optimization of spinning reserve in wind power integrated power system based on multiple timescale and unit commitment coordination[J].Power System Protection and Control,2015,43(5):94-100(in Chinese).
- [7]王雁凌,许传龙,岳巍澎.时变可靠性约束下含风电系统旋转备用的随机规划模型[J].电网技术,2013,37(5):1311-1316.Wang Yanling,Xu Chuanlong,Yue Weipeng.A stochastic programming model for spinning reserve of power grid containing wind farms under constraint of time-varying reliability[J].Power System Technology,2013,37(5):1311-1316(in Chinese).
- [8]王旭,蒋传文,刘玉娇,等.含大规模风电场的电力系统旋转备用风险决策模型和方法[J].电力系统自动化,2014,38(13):64-70.Wang Xu,Jiang Chuanwen,Liu Yujiao,et al.Decision-making model and method for spinning reserve and risk of power rystems integrated with large-scale wind farms[J].Automation of Electric Power Systems,2014,38(13):64-70(in Chinese).
- [9]汪超群,韦化,吴思缘.计及风电不确定性的随机安全约束机组组合[J].电网技术,2017,41(5):1419-1427.Wang Chaoqun,Wei Hua,Wu Siyuan.Stochastic-security-constrained unit commitment considering uncertainty of wind power[J].Power System Technology,2017,41(5):1419-1427(in Chinese).
- [10]邹云阳,杨莉.基于经典场景集的风光水虚拟电厂协同调度模型[J].电网技术,2015,39(17):1855-1859.Zou Yunyang,Yang Li.Synergetic dispatch models of a eind/PV/hydro virtual power plant based on representative scenario set[J].Power System Technology,2015,39(17):1855-1859(in Chinese).
- [11]郭小璇,龚仁喜,鲍海波,等.含新能源电力系统机会约束经济调度的二阶锥规划方法[J].电力系统保护与控制,2015,43(22):85-91.Guo Xiaoxuan,Gong Renxi,Bao Haibo,et al.Second-order cone programming method of chance constrained economic dispatch considering renewable energy sources[J].Power System Protection and Control,2015,43(22):85-91(in Chinese).
- [12]王扬,赵书强,徐岩,等.基于机会约束目标规划的风火储系统滚动调度[J].电网技术,2017,41(1):187-194.Wang Yang,Zhao Shuqiang,Xu Yan,et al.Rolling dispatch of wind/thermal/storage system based on chance constrained goal programming[J].Power System Technology,2017,41(1):187-194(in Chinese).
- [13]翟俊义,周明,李庚银,等.考虑可消纳风电区间的多区电力系统分散协调鲁棒调度方法[J].电网技术,2018,42(3):747-754.Zhai Junyi,Zhou Ming,Li Gengyin,et al.A decentralized and robust dispatch approach for multi-area power system considering accommodated wind power interval[J].Power System Technology,2018,42(3):747-754(in Chinese).
- [14]肖云鹏,王锡凡,王秀丽.基于随机生产模拟的直购电交易成本效益分析[J].电网技术,2016,40(11):3287-3292.Xiao Yunpeng,Wang Xifan,Wang Xiuli.Cost and benefit analysis on direct electricity transaction based on probabilistic production simulation[J].Power Systems Technology,2016,40(11):3287-3292(in Chinese).
- [15]Jenkins R T,Vorse T C.Use of fourier series in the power system probabilistic simulation[C]//Proceedding of the second WASPConference,OH,USA,1977:35-44.
- [16]Wang X.Equivalent energy function approach to power system probabilistic modeling[J].IEEE Transactions on Power Systems,1988,3(3):823-829.
- [17]康重庆,白利超,夏清,等.基于序列运算理论的随机生产模拟算法的实施[J].中国电机工程学报,2002,22(9):6-11.Kang Chongqing,Bai Lichao,Xia Qing,et al.Implement of probabilistic production cost simulation algorithm based on sequence operating theory[J].Proceedings of the CSEE,2002,22(9):6-11(in Chinese).
- [18]Jing Tingchao,Zhou Ming,Li Gengyin.Universal generating function based probabilistic production simulation for wind power integrated power systems[J].Journal of Modern Power Systems and Clean Energy,2017,5(1):134-141.
- [19]Levitin Gregory.The universal generating function in reliability analysis and optimization[M].New York:Springer,2005:6-11.
- [20]Levitin Gregory,Yeh Wei-Chang,Dai Yuanshun.Minimizing bypass transportation expenses in linear multistate consecutively-connected systems[J].IEEE Transactions on Reliability,2014,63(1):230-238.
- [21]Liu Mingjun,Li Wenyuan,Wang Caisheng,et al.Reliability evaluation of large scale battery energy storage systems[J].IEEETransactions on Smart Grid,2017,8(6):2733-2743.
- [22]Wang Yong,Li Lin.Uncertainty importance measure of individual components in multi-state systems[J].IEEE Transactions on Reliability,2015,64(2):772-783.
- [23]Uzoma Orji,Bartholomew Sievenpiper,Katherine Gerhard,et al.Load modeling for power system requirement and capability assessment[J].IEEE Transactions on Power Systems,2015,30(3):1415-1423.
- [24]Hanieh Borhan Azad,Saad Mekhilef,Vellapa Gounder Ganapathy.Long-term wind speed forecasting and general pattern recognition using neural networks[J].IEEE Transactions on Sustainable Energy,2014,5(2):546-553.