基于调峰能力评估的省间调峰互济交易模式
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摘要
电网负荷峰谷差不断增大和跨区域输电的发展导致负荷低谷时段的调峰问题日益突出。提出一种电网低谷时段调峰能力评估模型,对研究周期内大容量燃煤机组启停次数和最小下调功率裕度进行优化,同时考虑机组运行的各类约束和电网负荷约束,实现电网低谷时段调峰能力的量化评估。基于不同电网间调峰能力的差异性,提出一种省间调峰互济交易机制,分析了低谷交易和峰谷打捆交易两种交易模式,并在调峰能力评估的基础上提出了调峰不足电网的调峰需求量确定方法。算例分析表明,所提出的方法能有效评估电网调峰能力,所提出的省间调峰互济交易模式具有可行性和有效性。
The increase of grid load peak-valley difference and the development of trans-regional power transmission lead to the peak load regulation problems in valley periods of load. An evaluation model of peak load regulation capability in valley periods of load is established, which optimizes the times of units' startup and shutdown and the minimum downward adjustable power during the research period considering various types of constraints of unit operation and grid operation and achieves the quantitative assessment of negative peak load regulation capability. On the basis of otherness of peak load regulation capability between two grids, a trading mechanism is proposed and two trading modes including valley trade and peak-valley-bundled trade are analyzed. Then a method to determining the regulation demand of lacking-load grid is proposed on the basis of evaluation model of peak load regulation capability. The results of typical case indicate that the proposed model can effectively evaluate the peak load regulation capability and the proposed trading mode for trans-provincial aid is feasible and effective.
The increase of grid load peak-valley difference and the development of trans-regional power transmission lead to the peak load regulation problems in valley periods of load. An evaluation model of peak load regulation capability in valley periods of load is established, which optimizes the times of units' startup and shutdown and the minimum downward adjustable power during the research period considering various types of constraints of unit operation and grid operation and achieves the quantitative assessment of negative peak load regulation capability. On the basis of otherness of peak load regulation capability between two grids, a trading mechanism is proposed and two trading modes including valley trade and peak-valley-bundled trade are analyzed. Then a method to determining the regulation demand of lacking-load grid is proposed on the basis of evaluation model of peak load regulation capability. The results of typical case indicate that the proposed model can effectively evaluate the peak load regulation capability and the proposed trading mode for trans-provincial aid is feasible and effective.
引文
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[14]王睿淳,马明娟,薛松,等.我国抽水蓄能电站与风电场联合调峰交易模式设计[J].水电能源科学,2013(5):231-234.WANG Ruichun,MA Mingjuan,XUE Song,et al.Joint peak regulation transaction mode design of pumped storage power station and wind farm in China[J].Water Resources&Power,2013(5):231-234.
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[2]杨冬锋,周苏荃,鲍锋.风电并网系统低谷时段的调峰能力分析[J].电网技术,2014,38(6):1446-1451.YANG Dongfeng,ZHOU Suquan,BAO Feng.Analysis on peak load regulation capability of power grid integrated with wind farms in valley load period[J].Power System Technology,2014,38(6):1446-1451.
[3]张宏宇,印永华,申洪,等.大规模风电接入后的系统调峰充裕性评估[J].中国电机工程学报,2011,31(22):26-31.ZHANG Hongyu,YIN Yonghua,SHEN Hong,et al.Peak-load regulating adequacy evaluation associated with large-scale wind power integration[J].Proceedings of the CSEE,2011,31(22):26-31.
[4]杨宏,刘建新,苑津莎.风电系统中常规机组负调峰能力研究[J].中国电机工程学报,2010,30(16):26-31.YANG Hong,LIU Jianxin,YUAN Jinsha.Research of peak load regulation of conventional generators in wind power grid[J].Proceedings of the CSEE,2010,30(16):26-31.
[5]李淑鑫,刘文颖,李亚龙,等.荷源联合调峰运行方案的电力节能评估研究[J].电力系统保护与控制,2016,44(12):7-14.LI Shuxin,LIU Wenying,LI Yalong,et al.Evaluation of energy-saving on peak load regulation scheme based on source-load coordination[J].Power System Protection and Control,2016,44(12):7-14.
[6]张涛,李家珏,张延峰,等.计及电网调峰约束的风电接纳调度方法研究[J].电力系统保护与控制,2014,42(21):74-80.ZHANG Tao,LI Jiajue,ZHANG Yanfeng,et al.Research of scheduling method for the wind power acceptance considering peak regulation[J].Power System Protection and Control,2014,42(21):74-80.
[7]张顺,葛智平,郭涛,等.大规模新能源接入后系统调峰能力与常规电源开机方式关系研究[J].电力系统保护与控制,2016,44(1):106-110.ZHANG Shun,GE Zhiping,GUO Tao,et al.Research on relationship between the capacity of systematic peak regulation and conventional power startup mode after access to large-scale new energy[J].Power System Protection and Control,2016,44(1):106-110.
[8]胡殿刚,潘正婕,徐昊亮,等.大规模可再生能源并网条件下天然气机组调峰空间估算[J].电力系统保护与控制,2017,45(3):87-93.HU Diangang,PAN Zhengjie,XU Haoliang,et al.Peaking capacity estimation of natural gas unit under the condition of large-scale renewable energy connecting with power grid[J].Power System Protection and Control,2017,45(3):87-93.
[9]YUAN B,ZHOU M,ZONG J.An overview on peak regulation of wind power integrated power systems[C]//2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies,July 6-9,2011,Weihai,China:145-150.
[10]刘扬洋,蒋传文,李磊,等.考虑需求侧管理的调峰权交易研究[J].电力系统保护与控制,2011,39(9):38-43.LIU Yangyang,JIANG Chuanwen,LI Lei,et al.Peak regulation right trading model considering DSM[J].Power System Protection and Control,2011,39(9):38-43.
[11]耿静,严正,蒋传文,等.考虑环境成本的调峰权交易研究[J].电力系统保护与控制,2011,39(20):111-114.GENG Jing,YAN Zheng,JIANG Chuanwen,et al.The studies of peak regulation transaction considering environment costs[J].Power System Protection and Control,2011,39(20):111-114.
[12]李安均,陈川.基于MAS的调峰权交易模型[J].四川电力技术,2014(5):86-90.LI Anjun,CHEN Chuan.Peak regulation right trade model based on MAS[J].Sichuan Electric Power Technology,2014(5):86-90.
[13]梅坚,杨立兵,李晓刚,等.调峰市场效用分析与低谷调峰市场设计[J].电力系统自动化,2013,37(21):134-138.MEI Jian,YANG Libing,LI Xiaogang,et al.Utility analysis for peak regulation market and trading market design for peak regulation capacity in valley time[J].Automation of Electric Power Systems,2013,37(21):134-138.
[14]王睿淳,马明娟,薛松,等.我国抽水蓄能电站与风电场联合调峰交易模式设计[J].水电能源科学,2013(5):231-234.WANG Ruichun,MA Mingjuan,XUE Song,et al.Joint peak regulation transaction mode design of pumped storage power station and wind farm in China[J].Water Resources&Power,2013(5):231-234.
[15]范杰.基于智能代理模型的华东电网跨省电能集中竞价市场与调峰市场仿真研究[D].上海:上海大学,2013.FAN Jie.An Agent-based simulation research for transprovincial power market and peak regulation market of East China Power Grid[D].Shanghai:Shanghai University,2013.