基于态势感知的电网消纳可再生能源发电评估与扩展规划方法Evaluation of Renewable Energy Integration Capability and Network Expansion Planning Based on Situation Awareness Theory
史智萍;王智敏;吴玮坪;王旭冉;胡泽春;
摘要(Abstract):
随着风电等出力具有不确定性的可再生能源大规模接入电网,电网规划将面对新的挑战。基于态势感知技术,提出了含高占比可再生能源的水平年电网规划方法。首先,在态势觉察阶段对考虑不确定性的可再生能源出力进行建模和时序出力模拟,并利用序贯蒙特卡洛模拟出机组、线路工作状态时序。其次,在态势理解阶段,利用考虑爬坡约束的多时段直流最优潮流对电网态势进行运行模拟。然后,通过态势呈现和预测阶段所提出的定量指标对规划水平年的电网态势进行展示,并分析电网的缺陷。最后,利用态势利导给出电网规划方案。算例仿真显示,该方法能够有效考虑可再生能源出力的不确定性,并定量给出现有电网运行态势的经济性、可再生能源消纳、线路利用率等指标;利用态势利导提出的电网规划方案能够有效降低电网总成本,提高电网的可再生能源消纳水平。
关键词(KeyWords): 态势感知;可再生能源发电;不确定性;序贯蒙特卡洛模拟;电网规划
基金项目(Foundation): 国家重点研发计划项目(2016YFB0900501)~~
作者(Author): 史智萍;王智敏;吴玮坪;王旭冉;胡泽春;
Email:
DOI: 10.13335/j.1000-3673.pst.2016.2697
参考文献(References):
- [1]国家电网公司.《国家电网公司促进新能源发展白皮书(2016)》[J].电力与能源,2016(2):171-172.State Grid Corporation of China.State Grid Corporation of China to promote new energy development white paper(2016)[J].Power and Energy,2016(2):171-172(in Chinese).
- [2]田书欣,程浩忠,曾平良,等.大型集群风电接入输电系统规划研究综述[J].中国电机工程学报,2014,34(10):1566-1574.Tian Shuxin,Cheng Haozhong,Zeng Pinliang,et al.Review of transmission planning for integrating large clusters of wind power[J].Proceedings of the CSEE,2014,34(10):1566-1574(in Chinese).
- [3]翟海保,程浩忠,陈春霖,等.电网络优化规划研究综述[J].电力系统及其自动化学报,2004,16(2):17-23.Zhai Haibao,Cheng Haozhong,Chen Chunlin,et al.Review of transmission network optimal planning[J].Proceedings of the EPSA,2004,16(2):17-23(in Chinese).
- [4]高赐威,何叶.考虑风力发电接入的电网规划[J].电力科学与技术学报,2009,24(4):19-24.Gao Ciwei,He Ye.Research of electric network planning with wind power integration considered[J].Journal of Electric Power Science and Technology,2009,24(4):19-24(in Chinese).
- [5]徐楠.考虑风电接入的输电网规划研究[D].保定:华北电力大学,2010.
- [6]Yu H,Chung C Y,Wong K P,et al.A chance constrained transmission network expansion planning method with consideration of load and wind farm uncertainties[J].IEEE Transactions on Power Systems,2009,24(3):1568-1576.
- [7]Park H,Baldick R,Morton D P.A stochastic transmission planning model with dependent load and wind forecasts[J].IEEE Transactions on Power Systems,2015,30(6):1-9.
- [8]Panteli M,Kirschen D S.Situation awareness in power systems:theory,challenges and applications[J].Electric Power Systems Research,2015(122):140-151.
- [9]杨胜春,汤必强,姚建国,等.基于态势感知的电网自动智能调度架构及关键技术[J].电网技术,2014,38(1):33-39.Yang Shengchun,Tang Biqiang,Yao Jianguo,et al.Architecture and key technologies for situational awareness based automatic intelligent dispatching of power grid[J].Power System Technology,2014,38(1):33-39(in Chinese).
- [10]王守相,梁栋,葛磊蛟.智能配电网态势感知和态势利导关键技术[J].电力系统自动化,2016,40(12):2-8.Wang Shouxiang,Liang Dong,Ge Leijiao.Key technologies of intelligent distribution network situation awareness and situation orientation[J].Automation of Electric Power Systems,2016,40(12):2-8(in Chinese).
- [11]李晓晶,马志程,杨鹏,等.智能电网态势感知及评估方法[J].中国科技信息,2014(21):99-100.Li Xiaojing,Ma Zhicheng,Yang Peng,et al.Smart grid situation awareness and assessment[J].China Science and Technology Information,2014(21):99-100(in Chinese).
- [12]刘艳丽.面向增强态势感知的电系统安全性综合评估[D].天津:天津大学,2013.
- [13]杨菁,张鹏飞,徐晓伟,等.电网态势感知技术国内外研究现状初探[J].华东电力,2013,41(8):1575-1581.Yang Jing,Zhang Pengfei,Xu Xiaowei,et al.Research status of power grid situation awareness technology in China and abroad[J].East China Electric Power,2013,41(8):1575-1581(in Chinese).
- [14]Billinton R,Chen H,Ghajar R.Time-series models for reliability evaluation of power systems including wind energy[J].Microelectronics Reliability,1996,36(9):1253-1261.
- [15]Billinton R,Wangdee W.Reliability-based transmission reinforcement planning associated with large-scale wind farms[J].IEEE Transactions on Power Systems,2007,22(1):34-41.
- [16]梁双,胡学浩,张东霞,等.基于随机模型的光伏发电置信容量评估方法[J].电力系统自动化,2012,36(13):32-37.Liang Shuang,Hu Xuehao,Zhang Dongxia,et al.Confidence capacity evaluation method of photovoltaic power generation based on stochastic model[J].Automation of Electric Power Systems,2012,36(13):32-37(in Chinese).
- [17]Karaki S H,Chedid R B,Ramadan R.Probabilistic performance assessment of autonomous solar-wind energy conversion systems[J].IEEE Transactions on Energy Conversion,1999,14(3):766-772.
- [18]程林,何剑.电力系统可靠性原理和应用[M].北京清华大学出版社,2015:199-203.
- [19]张宏宇,印永华,申洪,等.基于序贯蒙特卡洛方法的风电并网系统调峰裕度评估[J].电力系统自动化,2012,36(1):32-37.Zhang Hongyu,Yin Yonghua,Shen Hong,et al.Evaluation of peak shaving margin for power system with wind power based on sequential Monte Carlo method[J].Automation of Electric Power Systems,2012,36(1):32-37(in Chinese).
- [20]高戈,胡泽春.含规模化储能系统的最优潮流模型与求解方法[J].电力系统保护与控制,2014,42(21):9-16.Gao Ge,Hu Zechun.Formulation and solution method of optimal power flow with large-scale energy storage[J].Power System Protection and Control,2014,42(21):9-16(in Chinese).
- [21]Zhang S,Li G,Zhou M.Adequacy evaluation of wind farm integration in power generation and transmission systems[C]//International Conference on Sustainable Power Generation and Supply.Nanjing,China:IEEE,2009:1-7.