周升彧;戴赛;许丹;郎一凡;胡林献;

• 1:哈尔滨工业大学电气工程及自动化学院
• 2:国网浙江电力科学研究院
• 3:中国电力科学研究院有限公司

摘要(Abstract)：

在对电热联合系统源侧灵活性改造的基础上,协调运用电热柔性负荷以进一步增强系统风电消纳能力。建立了纯凝火电机组深度调峰运行成本、补贴及分摊模型,以蓄热罐蓄放热特性为基础建立了配置蓄热罐后的等效热电机组调节范围扩展模型,并以弃风开启的调峰电锅炉为可调节电负荷、其输出为可调节热负荷,构建了以总运行成本最小为目标、综合考虑热电机组调节范围扩展、火电机组深度调峰改造及负荷侧可控电锅炉3种弃风消纳方案的电热联合系统优化调度模型。算例分析表明,所提模型能够对3种方案的任意组合场景进行仿真,且能在利用源侧灵活性的同时挖掘负荷侧调节潜力,依次调度成本低、消纳效果好的可调度资源,实现弃风的低成本梯级消纳。

关键词(KeyWords)： 电热联合系统;机组灵活性;可调节负荷;调度模型;风电消纳

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51877049);; 国家电网有限公司科技项目“全局计划决策与现货市场核心技术研究与应用”(5442dz180019)~~

作者(Author): 周升彧;戴赛;许丹;郎一凡;胡林献;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.1139

参考文献(References)：

• [1]张艺渊，江岳文．多种需求响应和日前小时电价优化促进风电接纳研究[J]．电工电能新技术，2018,37(1):57-65.Zhang Yiyuan,Jiang Yuewen.Research on promoting wind power accommodation with multi-type demand response and day-ahead hourly price optimization[J]. Advanced Technology of Electrical Engineering and Energy,2018,37(1):57-65(in Chinese).
• [2]马洪艳，韩笑，严正，等．鲁棒性驱动的含风电不确定性区域间调峰互济方法[J]．电力系统自动化，2017,41(7):28-36.Ma Hongyan,Han Xiao,Yan Zheng,et al.Robustness driving reciprocal peak-regulation trading method of inter-regional grids containing wind power uncertainty[J].Automation of Electric Power Systems,2017,41(7):28-36(in Chinese).
• [3]王珂，郭晓蕊，周竞，等．智能电网“源-荷”协同调度框架及实现[J]．电网技术，2018,42(8):2637-2644.Wang Ke,Guo Xiaorui,Zhou Jing,et al.Framework and realization for smart grid “source-load” coordinated scheduling[J].Power System Technology,2018,42(8):2637-2644(in Chinese).
• [4]林俐，顾嘉，王铃．面向风电消纳的考虑热网特性及热舒适度弹性的电热联合优化调度[J]．电网技术，2019,43(10):3648-3655.Lin Li,Gu Jia,Wang Ling.Optimal dispatching of combined heat-power system considering characteristics of thermal network and thermal comfort elasticity for wind power accommodation[J].Power System Technology,2019,43(10):3648-3655(in Chinese).
• [5]潘尔生，李晖，肖晋宇，等．考虑大范围多种类能源互补的中国西部清洁能源开发外送研究[J]．中国电力，2018,51(9):158-164.Pan Ersheng,Li Hui,Xiao Jinyu,et al.Research on the development and transmission of clean energy in western China considering wide range coordination of multi-energy[J].Electric Power,2018,51(9):158-164(in Chinese).
• [6]张宏，王礼茂，张英卓，等．低碳经济背景下中国风力发电跨区并网研究[J]．资源科学，2017,39(12):2377-2388.Zhang Hong,Wang Limao,Zhang Yingzhuo,et al.Analysis of crossregional grid integration of wind power under a low carbon economy[J].Resources Science,2017,39(12):2377-2388(in Chinese).
• [7]白顺明，陈磊，姜飞，等．考虑风电最大化消纳的电力系统多目标优化[J]．电气技术，2020,21(1):7-11.Bai Shunming,Chen Lei,Jiang Fei,et al.Multi-objective optimization of power system considering wind power maximization[J].Electrical Engineering,2020,21(1):7-11(in Chinese).
• [8]肖定垚，王承民，曾平良，等．电力系统灵活性及其评价综述[J]．电网技术，2014,38(6):1569-1576.Xiao Dingyao,Wang Chengmin,Zeng Pingliang,et al.A survey on power system flexibility and its evaluations[J]. Power System Technology,2014,38(6):1569-1576(in Chinese).
• [9]鲁宗相，李海波，乔颖．含高比例可再生能源电力系统灵活性规划及挑战[J]．电力系统自动化，2016,40(13):147-158.Lu Zongxiang,Li Haibo,Qiao Ying.Flexible planning and challenges for power systems with a high percentage of renewable energy[J].Automation of Electric Power Systems,2016,40(13):147-158(in Chinese).
• [10]徐国栋，程浩忠，马则良，等．考虑电网调峰能力限制的风储联合系统概率综合效益评价方法[J]．电网技术，2015,39(10):2731-2738.Xu Guodong,Cheng Haozhong,Ma Zeliang,et al.A method to evaluate probabilistic comprehensive benefits of joint wind power and storage system considering constraints of peak load regulation capacity[J].Power System Technology,2015,39(10):2731-2738(in Chinese).
• [11]何川，刘天琪，胡晓通，等．基于超短期风电预测和混合储能的风电爬坡优化控制[J]．电网技术，2017,41(3):782-790.He Chuan,Liu Tianqi,Hu Xiaotong,et al.Optimal control of wind ramp based on very short-term wind forecast and hybrid ESS[J].Power System Technology,2017,41(3):782-790(in Chinese).
• [12]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).
• [13]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).
• [14]吕泉，王海霞，陈天佑，等．考虑风电不确定性的热电厂蓄热罐运行策略[J]．电力系统自动化，2015,39(14):23-29.LüQuan,Wang Haixia,Chen Tianyou,et al.Operation strategies of heat accumulator in combined heat and power plant with uncertain wind power[J].Automation of Electric Power Systems,2015,39(14):23-29(in Chinese).
• [15]于炎娟，陈红坤，姜欣，等．促进风电消纳的蓄热罐运行策略[J]．电力系统自动化，2017,41(7):37-43.Yu Yanjuan,Chen Hongkun,Jiang Xin,et al.Thermal storage tank operation strategy to promote wind power dissipation[J].Automation of Electric Power Systems,2017,41(7):37-43(in Chinese).
• [16]朱兰，刘伸，唐陇军，等．充放电不确定性响应建模与电动汽车代理商日前调度策略[J]．电网技术，2018,42(10):3305-3314.Zhu Lan,Liu Shen,Tang Longjun,et al.Modeling of charging and discharging uncertainty and research on day-ahead dispatching strategy of electric vehicle agents[J].Power System Technology,2018,42(10):3305-3314(in Chinese).
• [17]李秀磊，耿光飞，季玉琦，等．主动配电网中储能和需求侧响应的联合优化规划[J]．电网技术，2016,40(12):3803-3810.Li Xiulei,Geng Guangfei,Ji Yuqi,et al.Integrated optimal planning of energy storage and demand side response in active power distribution network[J].Power System Technology,2016,40(12):3803-3810(in Chinese).
• [18]韩笑，周明，李庚银．计及储能和空调负荷的主动配电网多目标优化调度[J]．电力系统保护与控制，2018,46(7):14-23.Han Xiao, Zhou Ming, Li Gengyin. Multi-objective optimal dispatching of active distribution networks considering energy storage systems and air-conditioning loads[J].Power System Protection and Control,2018,46(7):14-23(in Chinese).
• [19]邓佳乐，胡林献，邵世圻，等．电热联合系统多时间尺度滚动调度策略[J]．电网技术，2016,40(12):3796-3803.Deng Jiale,Hu Linxian,Shao Shiqi,et al.Multi-time scale rolling scheduling method for combined heat and power system[J].Power System Technology,2016,40(12):3796-3803(in Chinese).
• [20]李佳佳，胡林献．基于二级热网电锅炉调峰的消纳弃风方案研究[J]．电网技术，2015,39(11):3286-3291.Li Jiajia, Hu Linxian. Research on the scheme of peak wind dissipation based on two-stage heating network electric boiler[J].Power System Technology,2015,39(11):3286-3291(in Chinese).
• [21]吕泉，胡炳廷，王海霞，等．风热冲突下热电厂供热问题研究[J]．电力自动化设备，2017,37(6):236-244.LüQuan,Hu Bingting,Wang Haixia,et al.Heat-supply of thermal power plant in wind-heat conflict[J].Electric Power Automation Equipment,2017,37(6):236-244(in Chinese).
• [22]林俐，田欣雨．基于火电机组分级深度调峰的电力系统经济调度及效益分析[J]．电网技术，2017,41(7):2255-2263.Lin Li,Tian Xinyu.Analysis of deep peak regulation and its benefit of thermal units in power system with large scale wind power integrated[J].Power System Technology,2017,41(7):2255-2263(in Chinese).
• [23]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).
• [24]黄国栋，许丹，丁强，等．考虑热电和大规模风电的电网调度研究综述[J]．电力系统保护与控制，2018,46(15):162-170.Huang Guodong,Xu Dan,Ding Qiang,et al.Review of grid dispatching considering thermal power and large-scale wind power integration[J].Power System Protection and Control,2018,46(15):162-170(in Chinese).
• [25]郭丰慧，胡林献，周升彧．基于二级热网储热式电锅炉调峰的弃风消纳调度模型[J]．电力系统自动化，2018,42(19):50-56.Guo Fenghui,Hu Linxian,Zhou Shengyu.Dispatching model of wind power accommodation based on heat storage electric boiler for peak-load regulation in secondary heat supply network[J].Automation of Electric Power Systems,2018,42(19):50-56(in Chinese).