基于风电-负荷匹配度提高风电消纳能力
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摘要
为提高风电就地、就近消纳能力,从电网规划角度出发,提出风电—负荷匹配度的度量方法,通过对不同风电平衡区域划分的电网规划方案进行风电—负荷匹配度计算,得到最优的风电平衡区域划分方案,以提高电网对风电的消纳能力。以贵州省威宁地区作为风电中心区域,对该地区与周边区域进行风电平衡区域划分,通过计算峰谷差率、负荷波动率、风电—负荷匹配度等指标,为该地区提供了风电消纳的优选方案。结果显示该方法能够有效提高风电的就地就近消纳能力,对电网规划工程师进行风电送出电网规划、风电并网设计具有重要的工程指导意义。
In order to improve the ability of the wind power accommodation in the power grid, this paper uses wind power-load matching degree to measure the power grid planning scheme for different wind power balance areas from the angle of the power grid planning, and gives the optimal area division scheme of the wind power balance. Weining County in Guizhou Province is the center area of the wind power in the analysis of a practical example, based on which Weining County and its peripheral areas are partitioned into sever wind power balance areas by calculating the peak-valley ratio, load fluctuation ratio and wind power-load matching degree, and the optimum scheme of the wind power accommodation is proposed for Weining County. The results show that the method can effectively improve the ability of the wind power accommodation capability locally.
In order to improve the ability of the wind power accommodation in the power grid, this paper uses wind power-load matching degree to measure the power grid planning scheme for different wind power balance areas from the angle of the power grid planning, and gives the optimal area division scheme of the wind power balance. Weining County in Guizhou Province is the center area of the wind power in the analysis of a practical example, based on which Weining County and its peripheral areas are partitioned into sever wind power balance areas by calculating the peak-valley ratio, load fluctuation ratio and wind power-load matching degree, and the optimum scheme of the wind power accommodation is proposed for Weining County. The results show that the method can effectively improve the ability of the wind power accommodation capability locally.
引文
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[15]王再窗,袁铁江,李永东,等.基于储能电站提高风电消纳能力的电源规划研究[J].可再生能源,2014,32(7):954-960.WANG Zaichuang,YUAN Tiejiang,LI Yongdong,et al.Power planning based on energy storage station to improve accommodation of wind power[J].Renewable Energy Resources,2014,32(7):954-960.
[16]车勇,彭超锋,袁铁江.计及储能的风电平衡区域电网优化划分方法[J].电网技术,2017,41(3):775-781.CHE Yong,PENG Chaofeng,YUAN Tiejiang.An optimized partitioning method balancing wind power in local power grid considering energy storage system[J].Power System Technology,2017,41(3):775-781.
[17]张颖超,郭晓杰,叶小岭,等.一种短期风电功率集成预测方法[J].电力系统保护与控制,2016,44(7):90-95.ZHANG Yingchao,GUO Xiaojie,YE Xiaoling,et al.An integrated forecasting method of short-term wind power[J].Power System Protection and Control,2016,44(7):90-95.
[18]袁铁江,彭超锋,梅生伟,等.基于提高消纳能力的风电平衡区域电网划分方法[J].电网技术,2015,39(8):2129-2134.YUAN Tiejiang,PENG Chaofeng,MEI Shengwei,et al.A partitioning method to enhance accommodation capability of power network with balanced region of wind power[J].Power System Technology,2015,39(8):2129-2134.
[2]蒿峰,朱长胜,王小海,等.风电场弃风电量分类统计方法研究[J].电网与清洁能源,2016,32(9):135-140.HAO Feng,ZHU Changsheng,WANG Xiaohai,et al.Research on classification statistical method of wind curtailment[J].Power Systgem&Clean Energy,2016,32(9):135-140.
[3]范思立.从规划源头解决风电弃风顽疾[N].中国经济时报,2013-04-09(2).
[4]崔强,王秀丽,王维洲.考虑风电消纳能力的高载能用户错峰峰谷电价研究[J].电网技术,2015,39(4):945-952.CUI Qiang,WANG Xiuli,WANG Weizhou.Stagger peak electricity price for heavy energy-consuming enterprises considering improvement of wind power accommodation[J].Power System Technology,2015,39(4):945-952.
[5]孙波,孙佳佳,董浩.基于分时充电电价的电动汽车消纳风电的机组调度优化模型[J].可再生能源,2017,35(1):110-118.SUN Bo,SUN Jiajia,DONG Hao.Unit dispatch optimization model of electrical vehicle to accommodate the wind power based on time-of-use charging price[J].Renewable Energy Resources,2017,35(1):110-118.
[6]汪春,吴可,张祥文,等.规模化电动汽车和风电协同调度的机组组合问题研究[J].电力系统保护与控制,2015,43(11):41-48.WANG Chun,WU Ke,ZHANG Xiangwen,et al.Unit commitment considering coordinated dispatch of large scale electric vehicles and wind power generation[J].Power System Protection and Control,2015,43(11):41-48.
[7]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.
[8]崔杨,陈志,严干贵,等.基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J].中国电机工程学报,2016,36(15):4072-4080.CUI Yang,CHEN Zhi,YAN gangui,et al.Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J].Proceedings of the CSEE,2016,36(15):4072-4080.
[9]何桂雄,熊敏,张红亮,等.大型铝电解系列消纳风电的关键问题及应对方案[J].有色金属(冶炼部分),2016,68(10):15-19.HE Guixiong,XIONG Min,ZHANG Hongliang,et al.Key problems and countermeasures of wind power accommodation by aluminum electrolysis series[J].Nonferrous Metals(Extractive Metallurgy),2016,68(10):15-19.
[10]刘小聪,王蓓蓓,李扬,等.计及需求侧资源的大规模风电消纳随机组组合模型[J].中国电机工程学报,2015,35(14):3714-3723.LIU Xiaocong,WANG Beibei,LI Yang,et al.Stochasticunit commitment model for high wind power integration considering demand side resources[J].Proceedings of the CSEE,2015,35(14):3714-3723.
[11]宋艺航,谭忠富,李欢欢,等.促进风电消纳的发电侧、储能及需求侧联合优化模型[J].电网技术,2014,38(3):611-615.SONG Yihang,TAN Zhongfu,LI Huanhuan,et al.An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J].Power System Technology,2014,38(3):611-615.
[12]王秀丽,李骏,黄镔,等.促进风电消纳的区省两级电力系统调度模型[J].电网技术,2015,39(7):1833-1838.WANG Xiuli,LI Jun,HUANG Bin,et al.A two-stage optimal dispatching model for provincial and regional power grids connected with wind farms to promote accommodation of wind power[J].Power System Technology,2015,39(7):1833-1838.
[13]谭忠富,宋艺航,张会娟,等.大规模风电与火电联合外送体系及其利润分配模型[J].电力系统自动化,2013,37(23):63-70.TAN Zhongfu,SONG Yihang,ZHANG Huijuan,et al.Joint delivery system of large-scale wind power and thermal power generation and its profit distribution model[J].Automation of Eletric Power System,2013,37(23):63-70.
[14]王中夫,华栋.消纳大规模风电并网的多目标鲁棒调度[J].广东电力,2016,29(6):35-42,49.WANG Zhongfu,HUA Dong.Multi-objective robust dispatching for large-scale wind power grid-connection absorption[J].Guangdong Electric Power,2016,29(6):35-42,49.
[15]王再窗,袁铁江,李永东,等.基于储能电站提高风电消纳能力的电源规划研究[J].可再生能源,2014,32(7):954-960.WANG Zaichuang,YUAN Tiejiang,LI Yongdong,et al.Power planning based on energy storage station to improve accommodation of wind power[J].Renewable Energy Resources,2014,32(7):954-960.
[16]车勇,彭超锋,袁铁江.计及储能的风电平衡区域电网优化划分方法[J].电网技术,2017,41(3):775-781.CHE Yong,PENG Chaofeng,YUAN Tiejiang.An optimized partitioning method balancing wind power in local power grid considering energy storage system[J].Power System Technology,2017,41(3):775-781.
[17]张颖超,郭晓杰,叶小岭,等.一种短期风电功率集成预测方法[J].电力系统保护与控制,2016,44(7):90-95.ZHANG Yingchao,GUO Xiaojie,YE Xiaoling,et al.An integrated forecasting method of short-term wind power[J].Power System Protection and Control,2016,44(7):90-95.
[18]袁铁江,彭超锋,梅生伟,等.基于提高消纳能力的风电平衡区域电网划分方法[J].电网技术,2015,39(8):2129-2134.YUAN Tiejiang,PENG Chaofeng,MEI Shengwei,et al.A partitioning method to enhance accommodation capability of power network with balanced region of wind power[J].Power System Technology,2015,39(8):2129-2134.