一种基于调峰平衡的风光综合消纳分析方法
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摘要
风光协同发展成为中国新能源发展当前及未来需要重点关注的内容之一。以系统调峰平衡分析为基础,结合风电和光电出力特性统计特征,提出了一种风光综合消纳分析方法。该方法通过典型日负荷晚高峰时段系统电力平衡确定风电装机,再通过负荷午高峰时段系统电力平衡确定太阳能发电装机,有效地解决了传统调峰平衡方法通过调峰盈余来确定风光装机组合时面临的不确定性问题。最后仿真算例验证了所提方法的有效性。
The coordinated development of wind and solar power has become the focus of China's renewable energy development in the current and future. Based on the principle of system peaking regulation balance, and with combination of the statistical characteristics of wind power and solar power output characteristics, an integrated analysis method is proposed for accommodation of wind and solar power. By firstly determining the installed capacity of wind power through system power balance for the night peak load period in a typical day, and then figuring out the installed capacity of solar power through system power balance for the midday peak load hours, the proposed method effectively solves the problem of uncertainty for the conventional peak regulation balance method, which determines the combined installed capacity of the wind and solar power through peak regulation surplus. The simulation results have validated the effectiveness of the proposed method.
The coordinated development of wind and solar power has become the focus of China's renewable energy development in the current and future. Based on the principle of system peaking regulation balance, and with combination of the statistical characteristics of wind power and solar power output characteristics, an integrated analysis method is proposed for accommodation of wind and solar power. By firstly determining the installed capacity of wind power through system power balance for the night peak load period in a typical day, and then figuring out the installed capacity of solar power through system power balance for the midday peak load hours, the proposed method effectively solves the problem of uncertainty for the conventional peak regulation balance method, which determines the combined installed capacity of the wind and solar power through peak regulation surplus. The simulation results have validated the effectiveness of the proposed method.
引文
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[18]辛颂旭,白建华,郭燕珩.甘肃酒泉风电特性研究[J].能源技术经济,2010,22(12):16-20.XIN Songxu,BAI Jianhua,GUO Yanheng.Study on wind power characteristics of Jiuquan Wind Power Base[J].Energy Technology and Economics,2010,22(12):16-20.
[19]张晋芳,郑宽,黄瀚,等.特高压直流主送新能源技术经济研究[J].中国电力,2017,50(6):152-157.ZHANG Jinfang,ZHENG Kuan,HUANG Han,et al.The technical and economic analysis on new energy mainly transmitted by UHVDC[J].Electric Power,2017,50(6):152-157.
[2]国家电网公司.国家电网公司促进新能源发展白皮书2018[R].北京:国家电网公司,2018.
[3]国家能源局.2017年风电并网运行情况[EB/OL].(2018-02-01)[2018-11-11].http://www.nea.gov.cn/2018-02/01/c_136942234.htm
[4]孙荣富,张涛,梁吉.电网接纳风电能力的评估及应用[J].电力系统自动化,2011,35(4):70-76.SUN Rongfu,ZHANG Tao,LIANG Ji.Evaluation and application of wind power integration capacity in power grid[J].Automation of Electric Power Systems,2011,35(4):70-76.
[5]姚金雄,张世强.基于调峰能力分析的电网风电接纳能力研究[J].电网与清洁能源,2010,26(7):25-28.YAO Jinxiong,ZHANG Shiqiang.Analysis on capacity of wind power integration into grid based on peak load regulation[J].Power System and Clean Energy,2010,26(7):25-28.
[6]王芝茗,苏安龙,鲁顺.基于电力平衡的辽宁电网接纳风电能力分析[J].电力系统自动化,2010,34(3):86-90.WANG Zhiming,SU Anlong,LU Shun.Analysis on capacity of wind power integrated into Liaoning power grid based on power balance[J].Automation of Electric Power Systems,2010,34(3):86-90.
[7]韩小琪,孙寿广,戚庆茹.从系统调峰角度评估电网接纳风电能力[J].中国电力,2010,43(6):16-19.HAN Xiaoqi,SUN Shouguang,QI Qingru.Evaluation of wind power penetration limit from peak regulation[J].Electric Power,2010,43(6):16-19.
[8]刘畅,吴浩,高长征,等.风电消纳能力分析方法的研究[J].电力系统保护与控制,2014,42(4):61-66.LIU Chang,WU Hao,GAO Changzheng,et al.Study on analysis method of accommodated capacity for wind power[J].Power System Protection and Control,2014,42(4):61-66.
[9]吕泉,王伟,韩水,等.基于调峰能力分析的电网弃风情况评估方法[J].电网技术,2013,37(7):1887-1894.LV Quan,WANG Wei,HAN Shui,et al.A new evaluation method for wind power curtailment based on analysis of system regulation capability[J].Power System Technology,2013,37(7):1887-1894.
[10]YU Z,LIN J,YU D,et al.The design of the model of wind power integration based on thermal power peakshaving[C]//International Conference on Mechatronics,Electronic,Industrial and Control Engineering,2015
[11]BURKE D J,O’MALLEY M J.Factors influencing wind energy curtailment[J].IEEE Transactions on Sustainable Energy,2011,2(2):185-193.
[12]董存,李明节,范高锋,等.基于时序生产模拟的新能源年度消纳能力计算方法及其应用[J].中国电力,2015,48(12):166-172.DONG Cun,LI Mingjie,FAN Gaofeng,et al.Research and application of renewable energy accommodation capability evaluation based on time series production simulation[J].Electric Power,2015,48(12):166-172.
[13]MCKENNA E,GRUNEWALD P,THOMSON M.Going with the wind:Temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand response[J].IETRenewable Power Generation,2015,9(1):66-77.
[14]舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017,37(1):1-8.SHU Yinbiao,ZHANG Zhigang,GUO Jianbo,et al.Study on key factors and solution of renewable energy accommodation[J].Proceedings of the CSEE,2017,37(1):1-8.
[15]张正陵.中国“十三五”新能源并网消纳形势、对策研究及多情景运行模拟分析[J].中国电力,2018,51(1):2-9.ZHANG Zhengling.Research on situation and countermeasures of new energy integration in the 13th five-year plan period and its multiscenario simulation[J].Electric Power,2018,51(1):2-9.
[16]谢国辉,何永胜,王卿然.中国东中部地区风电发展前景分析[J].中国电力,2018,51(3):100-104.XIE Guohui,HE Yongsheng,WANG Qingran.Research on development prospect of wind power in Eastern and Central China[J].Electric Power,2018,51(3):100-104.
[17]裴哲义,王彩霞,和青,等.对中国新能源消纳问题的分析与建议[J].中国电力,2016,49(11):1-7.PEI Zheyi,WANG Caixia,HE Qing,et al.Analysis and suggestions on renewable energy integration problems in China[J].Electric Power,2016,49(11):1-7.
[18]辛颂旭,白建华,郭燕珩.甘肃酒泉风电特性研究[J].能源技术经济,2010,22(12):16-20.XIN Songxu,BAI Jianhua,GUO Yanheng.Study on wind power characteristics of Jiuquan Wind Power Base[J].Energy Technology and Economics,2010,22(12):16-20.
[19]张晋芳,郑宽,黄瀚,等.特高压直流主送新能源技术经济研究[J].中国电力,2017,50(6):152-157.ZHANG Jinfang,ZHENG Kuan,HUANG Han,et al.The technical and economic analysis on new energy mainly transmitted by UHVDC[J].Electric Power,2017,50(6):152-157.