基于风电消纳需求的综合能源服务商源荷协同运行策略
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摘要
未来,风电将和火电享有同样的出力水平,同时承担一定的系统调节任务,大型风电场亟需寻求一种新的途径来提升消纳水平。能源互联网的推进和售电侧的开放为综合能源服务商(integrated energy service provider,IESP)聚合多类型供能设备和综合柔性负荷直接满足风电的消纳需求提供了环境和契机。据此,在分析我国目前风电的运营现状的基础上,讨论了可调度风电场的消纳需求,考虑IESP自有供能设备的发电/热响应能力和辖区综合需求响应电热负荷的可控性、采暖负荷的弹性,提出了一种基于风电消纳需求的风电场-IESP协同运营模式(windfarm-IESP,WICOM),构建了IESP的综合响应模型,进一步以IESP收益最大为目标,建立了源荷电热日前经济调度模型,并以算例证明WICOM在提升IESP收益和风电消纳水平上所起的积极作用。
In the future, wind power will enjoy the same output level as thermal power and undertake certain system regulation tasks at the same time. Large-scale wind farms urgently need to find a new way to improve their accommodation levels. Promotion of energy internet and opening of power-sale-side provide an environment and opportunity for integrated energy service provider(IESP) to aggregate multiple types of energy-supplied equipment and comprehensive flexible loads to directly meet the demand for wind power accommodation. Based on analysis of current status of wind power operation in China, this paper discusses the accommodation demand of schedulable wind farms. A wind farm-IESP cooperative operation mode(WICOM) based on wind power accommodation demand is proposed considering the response capability of self-operated equipment of IESP, controllability of integrated demand response load and elasticity of heating load in jurisdictions. Then a comprehensive response model of the IESP is constructed, and a day-ahead economic dispatch model is established with the goal of maximizing IESP's revenue. Finally, simulation validates the positive role of WICOM in improving income of IESP and accommodation level of wind power.
In the future, wind power will enjoy the same output level as thermal power and undertake certain system regulation tasks at the same time. Large-scale wind farms urgently need to find a new way to improve their accommodation levels. Promotion of energy internet and opening of power-sale-side provide an environment and opportunity for integrated energy service provider(IESP) to aggregate multiple types of energy-supplied equipment and comprehensive flexible loads to directly meet the demand for wind power accommodation. Based on analysis of current status of wind power operation in China, this paper discusses the accommodation demand of schedulable wind farms. A wind farm-IESP cooperative operation mode(WICOM) based on wind power accommodation demand is proposed considering the response capability of self-operated equipment of IESP, controllability of integrated demand response load and elasticity of heating load in jurisdictions. Then a comprehensive response model of the IESP is constructed, and a day-ahead economic dispatch model is established with the goal of maximizing IESP's revenue. Finally, simulation validates the positive role of WICOM in improving income of IESP and accommodation level of wind power.
引文
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[23]邹云阳,杨莉,冯丽,等.考虑热负荷二维可控性的微网热电协调调度[J].电力系统自动化,2017,41(6):13-19.Zou Yunyang,Yang Li,Feng Li,et al.Coordinated heat and power dispatch of microgrid considering two-dimensional controllability of heat loads[J].Automation of Electric Power Systems,2017,41(6):13-19(in Chinese).
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[25]丁明,刘新宇,解蛟龙,等.面向提高风电接纳能力的多区域热-电联合调度模型[J].中国电机工程学报,2017,37(14):4079-4088.Ding Ming,Liu Xinyu,Xie Jiaolong,et al.Research on heat and electricity coordinated dispatch model of multi-area for improving wind power accommodation ability[J].Proceedings of the CSEE,2017,37(14):4079-4088(in Chinese).
[26]王彩霞,李琼慧,谢国辉.风电供热提高低谷风电消纳能力评估[J].中国电力,2013,46(12):100-106.Wang Caixia,Li Qionghui,Xie Guohui.Evaluation of wind power heating in facilitating wind power integration capability during valley load period[J].Electric Power,2013,46(12):100-106(in Chinese).
[27]李东东,徐连连,刘翔,等.考虑可削减负荷参与的含风光储微网经济优化调度[J].电力系统保护与控制,2017,45(2):35-41.Li Dongdong,Xu Lianlian,Liu Xiang,et al.Optimal dispatching of microgrid considering the participation of reducible loads,distributed generators(DG)and energy storage units[J].Power System Protection and Control,2017,45(2):35-41(in Chinese).
[28]夏叶,康重庆,宁波,等.用户侧互动模式下发用电一体化调度计划[J].电力系统自动化,2012,36(1):17-23.Xia Ye,Kang Chongqing,Ning Bo,et al.A generation and load integrated scheduling on interaction mode on customer side[J].Automation of Electric Power Systems,2012,36(1):17-23(in Chinese).
[2]崔杨,杨志文,仲悟之,等.降低硫硝排放的含储热热电联产机组与风电联合调度策略[J].电网技术,2018,42(4):1063-1070.Cui Yang,Yang Zhiwen,Zhong Wuzhi,et al.A joint scheduling strategy of CHP with thermal energy storage and wind power to reduce sulfur and nitrate emission[J].Power System Technology,2018,42(4):1063-1070(in Chinese).
[3]吕泉,姜浩,陈天佑,等.基于电锅炉的热电厂消纳风电方案及其国民经济评价[J].电力系统自动化,2014,38(1):6-12.LüQuan,Jiang Hao,Chen Tianyou,et al.Wind power accommodation by combined heat and power plant with electric boiler and its national economic evaluation[J].Automation of Electric Power Systems,2014,38(1):6-12(in Chinese).
[4]陈磊,徐飞,王晓,等.储热提升风电消纳能力的实施方式及效果分析[J].中国电机工程学报,2015,35(17):4283-4290.Chen Lei,Xu Fei,Wang Xiao,et al.Implementation and effect of thermal storage in improving wind power accommodation[J].Proceedings of the CSEE,2015,35(17):4283-4290(in Chinese).
[5]Wu H,Shahidehpour M,Al-Abdulwahab A.Hourly demand response in day-ahead scheduling for managing the varia-bility of renewable energy[J].IET Generation Transmission&Distribution,2013,7(3):226-234.
[6]Khodaei A,Shahidehpour M,Bahramirad S.SCUC with hourly demand response considering intertemporal load characteristics[J].IEEE Transactions on Smart Grid,2011,2(3):564-571.
[7]Callaway D S.Tapping the energy storage potential in electric loads to deliver load following and regulation with application to wind energy[J].Energy Conversion and Management,2009,50(5):1389-1400.
[8]崔雪,邹晨露,王恒,等.考虑风电消纳的电热联合系统源荷协调优化调度[J].电力自动化设备,2018,38(7):74-81.Cui Xue,Zou Chenlu,Wang Heng,et al.Source and load coordinative optimal dispatching of combined heat and power system considering wind power accommodation[J].Electric Power Automation Equipment,2018,38(7):74-81(in Chinese).
[9]徐业琰,彭思成,廖清芬,等.考虑用户互补聚合响应与热能传输延时的综合能源园区运营商两阶段短期优化调度[J].电力自动化设备,2017,37(6):152-163.Xu Yeyan,Peng Sicheng,Liao Qingfen,et al.Two-stage short-term optimal dispatch of MEP considering CAUR and HTTD[J].Electric Power Automation Equipment,2017,37(6):152-163(in Chinese).
[10]张丽英,叶廷路,辛耀中,等.大规模风电接入电网的相关问题及措施[J].中国电机工程学报,2010,30(25):1-9.Zhang Liying,Ye Tinglu,Xin Yaozhong,et al.Problems and measures of power grid accommodating large scale wind power[J].Proceedings of the CSEE,2010,30(25):1-9(in Chinese).
[11]Wang B,Liu X,Zhu F,et al.Unit commitment model considering flexible scheduling of demand response for high wind integration[J].Energies,2015,8(12):13688-13709.
[12]封红丽.国内外综合能源服务发展现状及商业模式研究[J].电器工业,2017(6):34-42.Feng Hongli.Research on the status and business model of integrated energy service development at home and abroad[J].Industry Perspective,2017(6):34-42(in Chinese).
[13]彭克,张聪,徐丙垠,等.多能协同综合能源系统示范工程现状与展望[J].电力自动化设备,2017,37(6):3-10.Peng Ke,Zhang Cong,Xu Bingyin,et al.Status and prospect of pilot projects of integrated energy system with multi-energy collaboration[J].Electric Power Automation Equipment,2017,37(6):3-10(in Chinese).
[14]林俐,田欣雨,蔡雪瑄.考虑附加成本的燃气机组深度调峰及电力系统能源效率[J].电力系统自动化,2018,42(11):16-23.Lin Li,Tian Xinyu,Cai Xuexuan.Gas unit deep peak regulation and power system energy efficiency in consideration of conditional cost[J].Automation of Electric Power Systems,2018,42(11):16-23(in Chinese).
[15]徐青山,李淋,盛业宏,等.冷热电联供型多微网主动配电系统日前优化经济调度[J].电网技术,2018,42(6):1726-1734.Xu Qingshan,Li Lin,Sheng Yehong,et al.Day-ahead optimized economic dispatch of active distribution power system with combined cooling,heating and power-based microgrids[J].Power System Technology,2018,42(6):1726-1734(in Chinese).
[16]张晓晖,陈钟颀.热电冷联产系统的能耗特性[J].中国电机工程学报,2007,27(5):93-98.Zhang Xiaohui,Chen Zhongqi.Energy consumption performance of combined heat cooling and power system[J].Proceedings of the CSEE,2007,27(5):93-98(in Chinese).
[17]张钦,王锡凡,王建学,等.电力市场下需求响应研究综述[J].电力系统自动化,2008,32(3):97-106.Zhang Qin,Wang Xifan,Wang Jianxue,et al.Survey of demand response research in deregulated electricity markets[J].Automation of Electric Power Systems,2008,32(3):97-106(in Chinese).
[18]李正茂,张峰,梁军,等.含电热联合系统的微电网运行优化[J].中国电机工程学报,2015,35(14):3569-3576.Li Zhengmao,Zhang Feng,Liang Jun,et al.Optimization on microgrid with combined heat and power system[J].Proceedings of the CSEE,2015,35(14):3569-3576(in Chinese).
[19]邢通.利用风电供暖的价值分析及优化调度模型研究[D].北京:华北电力大学,2014.
[20]王珂,姚建国,姚良忠,等.电力柔性负荷调度研究综述[J].电力系统自动化,2014,38(20):127-135.Wang Ke,Yao Jianguo,Yao Liangzhong,et al.Survey of research on flexible loads scheduling technongies[J].Automation of Electric Power Systems,2014,38(20):127-135(in Chinese).
[21]荆朝霞,胡荣兴,袁灼新,等.含风/光/抽水蓄能并计及负荷响应的海岛微网优化配置[J].电力系统自动化,2017,41(1):65-72.Jing Zhaoxia,Hu Rongxing,Yuan Zhuoxin,et al.Capacity configuration for island microgrid with wind/solar/pumped storage considering demand response[J].Automation of Electric Power Systems,2017,41(1):65-72(in Chinese).
[22]孙川,汪隆君,许海林.用户互动负荷模型及其微电网日前经济调度的应用[J].电网技术,2016,40(7):2009-2015.Sun Chuan,Wang Longjun,Xu Hailin.An interaction load model and its application in microgrid day-ahead economic scheduling[J].Power System Technology,2016,40(7):2009-2015(in Chinese).
[23]邹云阳,杨莉,冯丽,等.考虑热负荷二维可控性的微网热电协调调度[J].电力系统自动化,2017,41(6):13-19.Zou Yunyang,Yang Li,Feng Li,et al.Coordinated heat and power dispatch of microgrid considering two-dimensional controllability of heat loads[J].Automation of Electric Power Systems,2017,41(6):13-19(in Chinese).
[24]曾光,田永铮,赵华,等.环境因素及综合因素对PMV指标的影响分析[J].建筑节能,2007,35(3):11-16.Zeng Guang,Tian Yongzheng,Zhao Hua,et al.Analysis on the environment and synthesis factors affecting the PMV index[J].Energy-Saving Technology,2007,35(3):11-16(in Chinese).
[25]丁明,刘新宇,解蛟龙,等.面向提高风电接纳能力的多区域热-电联合调度模型[J].中国电机工程学报,2017,37(14):4079-4088.Ding Ming,Liu Xinyu,Xie Jiaolong,et al.Research on heat and electricity coordinated dispatch model of multi-area for improving wind power accommodation ability[J].Proceedings of the CSEE,2017,37(14):4079-4088(in Chinese).
[26]王彩霞,李琼慧,谢国辉.风电供热提高低谷风电消纳能力评估[J].中国电力,2013,46(12):100-106.Wang Caixia,Li Qionghui,Xie Guohui.Evaluation of wind power heating in facilitating wind power integration capability during valley load period[J].Electric Power,2013,46(12):100-106(in Chinese).
[27]李东东,徐连连,刘翔,等.考虑可削减负荷参与的含风光储微网经济优化调度[J].电力系统保护与控制,2017,45(2):35-41.Li Dongdong,Xu Lianlian,Liu Xiang,et al.Optimal dispatching of microgrid considering the participation of reducible loads,distributed generators(DG)and energy storage units[J].Power System Protection and Control,2017,45(2):35-41(in Chinese).
[28]夏叶,康重庆,宁波,等.用户侧互动模式下发用电一体化调度计划[J].电力系统自动化,2012,36(1):17-23.Xia Ye,Kang Chongqing,Ning Bo,et al.A generation and load integrated scheduling on interaction mode on customer side[J].Automation of Electric Power Systems,2012,36(1):17-23(in Chinese).