含风电–光伏–光热–水电–火电–储能的多能源电力系统时序随机生产模拟Sequential Probabilistic Production Simulation of Multi-energy Power System With Wind Power, Photovoltaics, Concentrated Solar Power, Cascading Hydro Power, Thermal Power and Battery Energy Storage
朱睿;胡博;谢开贵;朱清;赵东宁;牛涛;李春燕;孙悦;
摘要(Abstract):
采用改进的随机生产模拟方法,研究含风电–光伏–光热–梯级水电–火电–电池储能的多能源系统的可靠性评估。首先,对于参与模拟的特殊对象光热电站和梯级水电,根据其场站特性建立时序出力模型。为表示模拟过程中光热和储能的时序状态变化,采用时序净负荷曲线修正传统的等效电量函数生产模拟方法。同时,针对评估对象为多种电源组合的情况,根据运行实际可能的发电组合,按照不同的加载次序设定模拟策略,以此进行随机生产模拟,计算各模拟策略对应的可靠性指标和可再生能源消纳指标。采用西北某省电网的实际气象和运行数据对该方法进行模拟,评估得到不同模拟策略下的指标,根据实际运行条件对比分析了所得的模拟结果,同时验证了所提出生产模拟方法的有效性。
关键词(KeyWords): 多能源电力系统;光热发电;储能;随机生产模拟;可靠性评估
基金项目(Foundation): 国家重点研发计划项目(2017YFB0902200);; 国家电网公司科技项目(5228001700CW)~~
作者(Author): 朱睿;胡博;谢开贵;朱清;赵东宁;牛涛;李春燕;孙悦;
Email:
DOI: 10.13335/j.1000-3673.pst.2020.0577
参考文献(References):
- [1]中华人民共和国2018年国民经济和社会发展统计公报[J].中国统计,2019(3):8-22.National economic and social development statistics bulletin of the People's Republic of China in 2018[J].China Statistics,2019(3):8-22.
- [2] Yuan B,Xu Z,Yang J,et al.Research on new energy accommodation capability of China in 2020[C]//IEEE Asia Power&Energy Engineering Conference.Chengdu,IEEE,2019.
- [3]陈启超,李晖,王帅,等.促进可再生能源消纳的多能互补时序运行模拟技术[J].电力建设,2019,40(7):18-25.Chen Qichao,Li Hui,Wang Shuai,et al.Sequential operation simulation technology for renewable energy accommodation considering multi-energy complementarity[J]. Electric Power Construction,2019,40(7):18-25(in Chinese).
- [4]吴迪,王佳明,李晖,等.以促进可再生能源消纳为目标的我国西北–西南联网容量与送电时序研究[J].电网技术,2018,42(7):2103-2110.Wu Di,Wang Jiaming,Li Hui,et al.Research on capacity and delivery sequence of interconnected northwestern-southwestern power grid towards renewable energy accommodation[J].Power System Technology,2018,42(7):2103-2110(in Chinese).
- [5] Shuqiang Z,Dazheng L,Yuqi X,et al.Scheduling strategy of energy storage in wind-solar-battery hybrid power system based on dependent-chance goal programming[J]. Automation of Electric Power Systems,2015(14):30-36.
- [6] Huang W,Zhang N,Yang J,et al.Optimal configuration planning of multi-energy systems considering distributed renewable energy[J].IEEE Transactions on Smart Grid,2017,10(2):1452-1464.
- [7] Billinton R,Chen H,Ghajar R.A sequential simulation technique for adequacy evaluation of generating systems including wind energy[J].IEEE Transactions on Energy Conversion,1996,11(4):728-734.
- [8] Stremel J P,Jenkins R T,Babb R A,et al.Production costing using the cumulant method of representing the equivalent load curve[J].IEEE Transactions on Power Apparatus and Systems,1980,99(5):1947-1956.
- [9]张节潭,程浩忠,胡泽春,等.含风电场的电力系统随机生产模拟[J].中国电机工程学报,2009,29(28):34-39.Zhang Jietan,Cheng Haozhong,Hu Zechun,et al.Power system probabilistic production simulation including wind farms[J].Proceedings of the CSEE,2009,29(28):34-39(in Chinese).
- [10] Wang X.EEF approach to power system probabilistic modelling[J].Journal of Xi’an Jiaotong University,1984(6):13-26.
- [11]郭旭阳,谢开贵,胡博,等.计入光伏发电的电力系统分时段随机生产模拟[J].电网技术,2013,37(6):1499-1505.Guo Xuyang,Xie Kaigui,Hu Bo,et al.A time-interval based probabilistic production simulation of power system with grid-connected photovoltaic generation[J].Power System Technology,2013,37(6):1499-1505(in Chinese).
- [12]丁明,林玉娟,潘浩.考虑负荷与新能源时序特性的随机生产模拟[J].中国电机工程学报,2016,36(23):6305-6314,6595.Ding Ming,Lin Yujuan,Pan Hao.Probabilistic production simulation considering time sequence characteristics of load and new energy[J].Proceedings of the CSEE,2016,36(23):6305-6314,6595(in Chinese).
- [13]孙伟卿,李恒,杜习周,等.基于有效容量分布的互联系统风电消纳能力评估[J].电网技术,2019,43(9):3321-3327.Sun Weiqing,Li Heng,Du Xizhou,et al.Assessment of wind power integration based on available capacity distribution in interconnected system[J].Power System Technology,2019,43(9):3321-3327(in Chinese).
- [14]廖庆龙,谢开贵,胡博.含风电和储能电力系统的时序随机生产模拟[J].电网技术,2017,41(9):2769-2776.Liao Qinglong, Xie Kaigui, Hu Bo. Sequential probabilistic production simulation of power systems with wind power and energy storage[J].Power System Technology,2017,41(9):2769-2776(in Chinese).
- [15]晋宏杨,孙宏斌,郭庆来,等.含大规模储热的光热电站–风电联合系统多日自调度方法[J].电力系统自动化,2016,40(11):17-23.Jin Hongyang, Sun Hongbin, Guo Qinglai, et al. Multi-day self-scheduling method for combined system of CSP plant and wind power with large-scale thermal energy storage contained[J].Automation of Electric Power Systems,2016,40(11):17-23(in Chinese).
- [16]彭院院,周任军,李斌,等.计及光热发电特性的光–风–火虚拟电厂双阶段优化调度[J].电力系统及其自动化学报,2020,32(4):21-28.Peng Yuanyuan,Zhou Renjun,Li Bin,et al.Two-stage optimal dispatch model for solar-wind-thermal virtual power plant considering the characteristic of concentrating solar power[J].Proceedings of the CSU-EPSA,2020,32(4):21-28(in Chinese).
- [17]宋汶秦,吕金历,赵玲霞,等.光热–风电联合运行的电力系统经济调度策略研究[J].电力系统保护与控制,2020,48(5):95-102.Song Wenqin,L?Jinli,Zhao Lingxia,et al.Study on the economic dispatch strategy of power system with combined operation of concentrated solar power and wind farm[J].Power System Protection and Control,2020,48(5):95-102(in Chinese).
- [18]覃晖,周建中,肖舸,等.梯级水电站多目标发电优化调度[J].水科学进展,2010,21(3):377-384.Qin Hui,Zhou Jianzhong,Xiao Ge,et al.Multi-objective optimal dispatch of cascade hydropower stations using strength Pareto differential evolution[J].Advances in Water Science,2010,21(3):377-384(in Chinese).
- [19]代倩,曾平良,周勤勇,等.多风电场与梯级水电站协调运行对电力系统可靠性的影响[J].电网技术,2015,39(6):1679-1684.Dai Qian, Zeng Pingliang, Zhou Qinyong, et al. Impacts of coordinated operation of multi wind farms with cascade hydropower stations on reliability of power grid[J].Power System Technology,2015,39(6):1679-1684(in Chinese).
- [20] Li W.Risk assessment of power systems:models,methods,and applications[M].New York::John Wiley&Sons,2014.