计及调峰主动性的风光水火储多能系统互补协调优化调度Coordination and Optimal Scheduling of Multi-energy Complementary System Considering Peak Regulation Initiative
李铁;李正文;杨俊友;崔岱;王钟辉;马坤;胡伟;
摘要(Abstract):
针对风电、光伏等大规模可再生能源并网后电力系统调峰能力不足的问题,在分析调峰补偿与调峰分摊的基础上,考虑火电机组调峰主动性约束,提出一种风光水火储多能系统互补协调优化调度策略。考虑多能系统电源结构复杂,涉及变量及约束条件较多,因此采用分层优化调度方案。上层模型以净负荷波动最小和储能系统运行收益最大为优化目标,旨在充分利用储能装置削峰填谷特性,降低负荷峰谷差,提高可再生能源的消纳空间;下层模型以火电机组运行成本最小和可再生能源弃电量最小为优化目标,考虑调峰主动性约束,旨在充分发挥火电机组深度调峰能力,优化可再生能源消纳能力和火电机组经济运行。基于分解协调思想,实现上、下层问题的协调和下层问题的交替迭代求解。最后,以改进的IEEE30节点系统为例,进行多种场景的仿真计算分析,结果表明所提策略能有效提升系统可再生能源的消纳能力和系统运行的经济性,验证了该模型的有效性。
关键词(KeyWords): 深度调峰;调峰主动性;调峰补偿;优化调度
基金项目(Foundation): 国家电网公司科技项目(SGTYHT/17-JS-199)~~
作者(Author): 李铁;李正文;杨俊友;崔岱;王钟辉;马坤;胡伟;
Email:
DOI: 10.13335/j.1000-3673.pst.2020.0626
参考文献(References):
- [1]邓婷婷,娄素华,田旭,等.计及需求响应与火电深度调峰的含风电系统优化调度[J].电力系统自动化,2019,43(15):34-41.Deng Tingting,Lou Suhua,Tian Xu,et al.Optimal dispatch of power system integrated with wind power considering demand response and deep peak regulation of thermal power units[J]. Automation of Electric Power Systems,2019,43(15):34-41(in Chinese).
- [2]李翠萍,卓君武,李军徽,等.光伏发电与风光联合发电系统输出特性分析[J].电网与清洁能源,2017,33(1):95-102.Li Cuiping,Zhuo Junwu,Li Junhui,et al.Characteristic analysis of photovoltaic power generation and wind-photovoltaic joint power generation system[J].Power System and Clean Energy,2017,33(1):95-102(in Chinese).
- [3]李海波,鲁宗相,乔颖.源荷储一体化的广义灵活电源双层统筹规划[J].电力系统自动化,2017,41(21):46-55.Li Haibo,Lu Zongxiang,Qiao Ying.Bi-level optimal planning of generation-load-storage integrated generalized flexibility resource[J].Automation of Electric Power Systems, 2017, 41(21):46-55(in Chinese).
- [4]沈琛云,王明俭,李晓明.基于风–光–蓄–火联合发电系统的多目标优化调度[J].电网与清洁能源,2019,35(11):74-82.Shen Chenyun,Wang Mingjian,Li Xiaoming.Multi-objective optimal dispatch based on wind-solar-pumped storage-thermal combined power system[J].Power System and Clean Energy,2019,35(11):74-82(in Chinese).
- [5]袁小明.大规模风电并网问题基本框架[J].电力科学与技术学报,2012,27(1):16-18.Yuan Xiaoming. Framework of problems in large scale wind integration[J].Journal of Electric Power Science and Technology,2012,27(1):16-18(in Chinese).
- [6]吴雄,王秀丽,李骏,等.风电储能混合系统的联合调度模型及求解[J].中国电机工程学报,2013,33(13):10-17.Wu Xiong,Wang Xiuli,Li Jun,et al.A joint operation model and solution for hybrid wind energy storage systems[J].Proceedings of the CSEE,2013,33(13):10-17(in Chinese).
- [7]谢毓广,江晓东.储能系统对含风电的机组组合问题影响分析[J].电力系统自动化,2011,35(5):19-24.Xie Yuguang,Chiang Hsiaodong.Impact of energy storage system on the unit commitment problem with volatile wind power[J].Automation of Electric Power System,2011,35(5):19-24(in Chinese).
- [8] Javier G G,Rocio M R M,Luz M S,et al.Stochastic joint optimization of wind generation and pumped-storage units in an electricity market[J].IEEE Trans on Power Systems,2008,23(2):460-468.
- [9]于佳,任建文,周明.基于机会约束规划的风-蓄联合动态经济调度[J].电网技术,2013,37(8):2116-2122.Yu Jia,Ren Jianwen,Zhou Ming.A chance-constrained programming based dynamic economic dispatch of wind farm and pumped-storage power station[J].Power System Technology,2013,37(8):2116-2122(in Chinese).
- [10]王开艳,罗先觉,吴玲,等.清洁能源优先的风–水–火电力系统联合优化调度[J].中国电机工程学报,2013,33(13):27-35.Wang Kaiyan,Luo Xianjue,Wu Ling,et al.Optimal dispatch of wind-hydro-thermal power system with priority given to clean energy[J].Proceedings of the CSEE,2013,33(13):27-35(in Chinese).
- [11]李惠玲,张志强,唐晓骏,等.风电和抽水蓄能联合送出时大型风电最优入网规模研究[J].电网技术,2015,39(10):2746-2750.Li Huiling,Zhang Zhiqiang,Tang Xiaojun,et al.Research on optimal capacity of large wind power considering joint operation with pumped hydro storage[J]. Power System Technology, 2015, 39(10):2746-2750(in Chinese).
- [12]盛四清,孙晓霞.利用风蓄联合削峰的电力系统经济调度[J].电网技术,2014,38(9):2484-2489.Sheng Siqing,Sun Xiaoxia.An economic dispatching strategy of peak load shifting by wind farm and pumped storage plant[J].Power System Technology,2014,38(9):2484-2489(in Chinese).
- [13]安磊,王绵斌,齐霞,等.“风、光、火、蓄、储”多能源互补优化调度方法研究[J].可再生能源,2018,36(10):1492-1498.An Lei,Wang Mianbin,Qi Xia,et al.Optimal dispatching of multi-power sources containing wind/photovoltaic/thermal/hydropumped and battery storage[J].Renewable Energy Resources,2018,36(10):1492-1498(in Chinese).
- [14]李然.基于风储联合输电经济调度的储能系统优化配置研究[D].北京:华北电力大学,2018.
- [15] Zhang N,Kang C,Kirschen D S,et al.Planning pumped storage capacity for wind power integration[J]. IEEE Transactions on Sustainable Energy,2013,4(2):393-401.
- [16]周一凡,胡伟,闵勇,等.考虑热电联产调峰主动性的电热协调调度[J].电力系统自动化,2019,43(19):42-54.Zhou Yifan,Hu Wei,Min Yong,et al.Coordinated power and heat dispatch considering peak regulation initiative of combined heat and power unit[J].Automation of Electric Power Systems,2019,43(19):42-54(in Chinese).
- [17]国家电力监管委员会.并网发电厂辅助服务管理暂行办法[R].北京:国家电力监管委员会,2006.
- [18]菅学辉,张利,杨立滨,等.高比例风电并网下基于卡尔多改进的深度调峰机制[J].电力系统自动化,2018,42(8):110-118.Jian Xuehui,Zhang Li,Yang Libin,et al.Deep-peak regulation mechanism based on Kaldor improvement under high-penetration wind power[J].Automation of Electric Power Systems,2018,42(8):110-118(in Chinese).
- [19]李咸善,杨宇翔.基于双向电价补偿的含氢储能风电和梯级水电联合优化调度[J].电网技术,2020,44(9):3297-3305.Li Xianshan,Yang Yuxiang.Optimization dispatching for joint operation of hydrogen storage-wind power and cascade hydropower station based on bidirectional electricity price compensation[J].Power System Technology,2020,44(9):3297-3305(in Chinese).
- [20]崔杨,周慧娟,仲悟之,等.考虑火电调峰主动性与需求响应的含储能电力系统优化调度[J/O L].高电压技术,2 0 2 0:1-12[2020-07-31].https://doi.org/10.13336/j.1003-6520.hve.20200440.Cui Yang,Zhou Huijuan,Zhong Wuzhi,et al.Optimal dispatch of power system with energy storage considering deep peak regulation initiative of thermal power and demand response[J/OL].High Voltage Engineering, 2020:1-12[2020-07-31].ttps://doi.org/10.13336/j.1003-6520.hve.20200440(in Chinese).
- [21]杨丽君,梁旭日,王心蕊,等.考虑调峰权交易提高风电二次消纳能力的热电联合经济调度[J].电网技术,2020,44(5):1872-1880.Yang Lijun,Liang Xuri,Wang Xinrui,et al.Combined heat and power economic dispatching considering peak regulation right trading to improve secondary accommodation capability of wind power[J].Power System Technology,2020,44(5):1872-1880(in Chinese).
- [22]李军徽,张嘉辉,穆钢,等.储能辅助火电机组深度调峰的分层优化调度[J].电网技术,2014,43(11):3961-3969.Li Junhui,Zhang Jiahui,Mu Gang,et al.Hierarchical optimization scheduling of deep peak shaving for energy-storage auxiliary thermal power generating units[J].Power System Technology,2014,43(11):3961-3969(in Chinese).
- [23]史昭娣,王伟胜,黄越辉,等.多能互补发电系统储电和储热容量分层优化规划方法[J/OL].电网技术,2020:1-9[2020-04-17].https://kns.cnki.net/kns8/defaultresult/index.Shi Zhaodi,Wang Weisheng,Huang Yuehui,et al.Hierarchical optimization planning for electrical energy and heat storage capacity in multi-energy complementary generation system[J/OL]. Power System Technology,2020:1-9[2020-04-17].https://kns.cnki.net/kns8/defaultresult/index(in Chinese).
- [24]林弋莎,孙荣富,鲁宗相,等.考虑中长期电量不确定性的可再生能源系统嵌套运行优化[J/OL].电网技术,2020:1-9[2020-08-06].https://wap.cnki.net/touch/web/Article/Search.Lin Yisha,Sun Rongfu,Lu Zongxiang,et al.Medium-and long-term nested scheduling for renewable energy system considering electricity uncertainty[J/OL]. Power System Technology, 2020:1-9[2020-08-06]. https://wap.cnki.net/touch/web/Article/Search(in Chinese).
- [25]崔杨,姜涛,仲悟之,等.考虑风电消纳的区域综合能源系统源荷协调经济调度[J].电网技术,2020,44(7):2474-2483.Cui Yang,Jiang Tao,Zhong Wuzhi,et al.Source-load coordination economic dispatch method for regional integrated energy system considering wind power accommodation[J]. Power System Technology,2020,44(7):2474-2482(in Chinese).
- [26]李建林,马会萌,田春光,等.基于区间层次分析法的电化学储能选型方案[J].高电压技术,2016,42(9):2707-2714.Li Jianlin,Ma Huimeng,Tian Chunguang,et al.Selection scheme of electrochemical energy storage based on interval analytic hierarchy process method[J]. High Voltage Engineering, 2016, 42(9):2707-2714(in Chinese).
- [27]林俐,邹兰青,周鹏,等.规模风电并网条件下火电机组深度调峰的多角度经济性分析[J].电力系统自动化,2017,41(7):21-27.Lin Li,Zou Lanqing,Zhou Peng,et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J].Automation of Electric Power Systems,2017,41(7):21-27(in Chinese).
- [28]李一铭,李文沅,颜伟,等.基于机会约束规划模型降低机组寿命损耗的日调度计划[J].电网技术,2014,38(7):1885-1890.Li Yiming,Li Wenyuan,Yan Wei,et al.Daily generation scheduling for reducing losses of unit’s lives based on the chance constrained programming model[J].Power System Technology,2014,38(7):1885-1890(in Chinese).