跨区直流外送模式对新能源消纳的影响分析及应用
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摘要
随着新能源并网容量的不断增加,新能源消纳矛盾日渐突出,跨区直流的应用有利于在更大范围内消纳新能源。目前,直流外送交易模式分为中长期外送交易和富余可再生能源跨区现货交易2种,为了研究这2种不同外送模式对新能源消纳的影响,在新能源消纳时序仿真模型基础上,建立了考虑中长期外送交易和可再生能源跨区现货交易2种交易模式的新能源消纳模型,利用该模型分析了不同交易模式对新能源弃电率、外送中的新能源成分、新能源发电量占总发电量比例、直流利用时长等指标的影响。基于西北某省的实际数据开展仿真计算,验证了所提模型的有效性,并应用模型和研究结论对该省的直流计划进行了优化安排,在保证直流利用时长的前提下有效降低了新能源弃电率。
With the increase of renewable energy integration, the conflict of renewable energy accommodation has become more and more prominent. The renewable energy can be accommodated in a wider area by the application of high voltage direct current transmission(HVDC). At present, the direct current(DC) delivery mode includes two types: medium-term & long-term transaction and surplus renewable energy spot transaction. In order to study the impacts of these two different delivery modes on renewable energy accommodation, a quantitative model of renewable energy accommodation analysis considering HVDC transmission system based on time-sequence simulation is established. This model is used to analyze the renewable energy curtailment rate, the renewable energy component in HVDC, the renewable energy component in total generation capacity, and the number of HVDC utilization under the two delivery modes of medium-term and long-term transaction and short-term spot transaction. Based on the actual data of a province in Northwest China, the validity of the proposed model is verified. Based on the model and analysis conclusion, the HVDC plan is optimized and the renewable energy curtailment rate is effectively reduced on the premise that the number of HVDC utilization is guaranteed.
With the increase of renewable energy integration, the conflict of renewable energy accommodation has become more and more prominent. The renewable energy can be accommodated in a wider area by the application of high voltage direct current transmission(HVDC). At present, the direct current(DC) delivery mode includes two types: medium-term & long-term transaction and surplus renewable energy spot transaction. In order to study the impacts of these two different delivery modes on renewable energy accommodation, a quantitative model of renewable energy accommodation analysis considering HVDC transmission system based on time-sequence simulation is established. This model is used to analyze the renewable energy curtailment rate, the renewable energy component in HVDC, the renewable energy component in total generation capacity, and the number of HVDC utilization under the two delivery modes of medium-term and long-term transaction and short-term spot transaction. Based on the actual data of a province in Northwest China, the validity of the proposed model is verified. Based on the model and analysis conclusion, the HVDC plan is optimized and the renewable energy curtailment rate is effectively reduced on the premise that the number of HVDC utilization is guaranteed.
引文
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[13] 刘德伟,黄越辉,王伟胜,等.考虑调峰和电网输送约束的省级系统风电消纳能力分析[J].电力系统自动化,2011,35(22):77-81.LIU Dewei,HUANG Yuehui,WANG Weisheng,et al.Analysis on provincial system available capability of accommodating wind power considering peak load dispatch and transmission constraints[J].Automation of Electric Power Systems,2011,35(22):77-81.
[14] 康重庆,贾文昭,徐乾耀,等.考虑网络安全约束的实时风电消纳能力评估[J].中国电机工程学报,2013,33(16):23-29.KANG Chongqing,JIA Wenzhao,XU Qianyao,et al.Capability evaluation of wind power accommodation considering security constraints of power grid in real-time dispatch[J].Proceedings of CSEE,2013,33(16):23-29.
[15] ZHONG H,RAHMAN S,XIA Q,et al.Equivalent ramp rate function for thermal power systems[C]// IEEE Power & Energy Society General Meeting,July 26-30,2015,Denver,US.
[16] 刘纯,吕振华,黄越辉,等.长时间尺度风电出力时间序列建模新方法研究[J].电力系统保护与控制,2013,41(1):7-13.LIU Chun,Lü Zhenhua,HUANG Yuehui,et al.A new method to simulate wind power time series of large timescale[J].Power System Protection and Control,2013,41(1):7-13.
[17] 曹阳,李鹏,袁越,等.基于时序仿真的新能源消纳能力分析及其低碳效益评估[J].电力系统自动化 2014,38(17):60-66.CAO Yang,LI Peng,YUAN Yue,et al.Analysis on accommodating capability of renewable energy and assessment on low-carbon benefits based on time sequence simulation[J].Automation of Electric Power Systems,2014,38(17):60-66.
[2] 刘永奇,张弘鹏,李群,等.东北电网电力调峰辅助服务市场设计与实践[J].电力系统自动化,2017,41(10):148-154.DOI:10.7500/AEPS20160706001.LIU Yongqi,ZHANG Hongpeng,LI Qun,et al.Design and practice of peak regulation ancillary service market for Northeast China power grid[J].Automation of Electric Power Systems,2017,41(10):148-154.DOI:10.7500/AEPS20160706001.
[3] 姚良忠,朱凌志,周明,等.高比例可再生能源电力系统的协同优化运行技术展望[J].电力系统自动化,2017,41(9):36-43.DOI:10.7500/AEPS20170112013.YAO Liangzhong,ZHU Lingzhi,ZHOU Ming,et al.Prospects of coordination and optimization for power systems with high proportion of renewable energy[J].Automation of Electric Power Systems,2017,41(9):36-43.DOI:10.7500/AEPS20170112013.
[4] 崔杨,赵玉,邱丽君,等.改善受端电网调峰裕度的特高压直流外送风火协调调度[J].电力系统自动化,2018,42(15):126-132.DOI:10.7500/AEPS20170520001.CUI Yang,ZHAO Yu,QIU Lijun,et al.Coordinated scheduling method of wind-thermal power transmitted by UHVDC system for improving peak-shaving margin of receiving-end power grid[J].Automation of Electric Power Systems,2018,42(15):126-132.DOI:10.7500/AEPS 20170520001.
[5] 钟海旺,夏清,丁茂生,等.以直流联络线运行方式优化提升新能源消纳能力的新模式[J].电力系统自动化,2015,39(3):36-42.ZHONG Haiwang,XIA Qing,DING Maosheng,et al.A new mode of HVDC tie-line operation optimization for maximizing renewable energy accommodation[J].Automation of Electric Power Systems,2015,39(3):36-42.
[6] 韩红卫,涂孟夫,张慧玲,等.考虑跨区直流调峰的日前发电计划优化方法及分析[J].电力系统自动化,2015,39(16):138-143.HAN Hongwei,TU Mengfu,ZHANG huiling,et al.Day-ahead generation scheduling method considering adjustable HVDC plan and its analysis[J].Automation of Electric Power Systems,2015,39(16):138-143.
[7] 王斌,夏叶,夏清,等.直流跨区互联电网发输电计划模型与方法[J].电力系统自动化,2016,40(3):8-13.WANG Bin,XIA Ye,XIA Qing,et al.Model and methods of generation and transmission scheduling of inter-regional power grid via HVDC tie-line[J].Automation of Electric Power Systems,2016,40(3):8-13.
[8] 许丹,王斌,张加力,等.特高压直流外送风光火电力一体化调度计划模型[J].电力系统自动化,2016,40(6):25-29.XU Dan,WANG Bin,ZHANG Jiali,et al.Integrated transmission scheduling model for wind-photovoltaic-thermal power by ultra-high voltage direct current system[J].Automation of Electric Power Systems,2016,40(6):25-29.
[9] 徐帆,丁恰,韩红卫,等.促进跨区新能源消纳的直流联络线功率优化模型及分析[J].电力系统自动化,2017,41(18):152-159.DOI:10.7500/AEPS20170401001.XU fan,DING Qia,HAN Hongwei,et al.Power optimization model and analysis of HVDC tie-line for promoting integration of inter-regional renewable energy accommodation[J].Automation of Electric Power Systems,2017,41(18):152-159.DOI:10.7500/AEPS20170401001.
[10] 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.
[11] 赵冰.以调峰能力为约束的辽宁电网风电接纳能力研究[D].吉林:东北电力大学,2010.ZHAO Bing.Study on the Liaoning grid accommodation of wind power refined with peak shaving capacity[D].Jilin:Northeast Electric Power University,2010.
[12] 刘德伟,郭剑波,黄越辉,等.基于风电功率概率预测和运行风险约束的含风电场电力系统动态经济调度[J].中国电机工程学报,2013,33(16):9-15.LIU Dewei,GUO Jianbo,HUANG Yuehui,et al.Dynamic economic dispatch of wind integrated power system based on wind power probabilistic forecasting and operation risk constraints[J].Proceedings of the CSEE,2013,33(16):9-15.
[13] 刘德伟,黄越辉,王伟胜,等.考虑调峰和电网输送约束的省级系统风电消纳能力分析[J].电力系统自动化,2011,35(22):77-81.LIU Dewei,HUANG Yuehui,WANG Weisheng,et al.Analysis on provincial system available capability of accommodating wind power considering peak load dispatch and transmission constraints[J].Automation of Electric Power Systems,2011,35(22):77-81.
[14] 康重庆,贾文昭,徐乾耀,等.考虑网络安全约束的实时风电消纳能力评估[J].中国电机工程学报,2013,33(16):23-29.KANG Chongqing,JIA Wenzhao,XU Qianyao,et al.Capability evaluation of wind power accommodation considering security constraints of power grid in real-time dispatch[J].Proceedings of CSEE,2013,33(16):23-29.
[15] ZHONG H,RAHMAN S,XIA Q,et al.Equivalent ramp rate function for thermal power systems[C]// IEEE Power & Energy Society General Meeting,July 26-30,2015,Denver,US.
[16] 刘纯,吕振华,黄越辉,等.长时间尺度风电出力时间序列建模新方法研究[J].电力系统保护与控制,2013,41(1):7-13.LIU Chun,Lü Zhenhua,HUANG Yuehui,et al.A new method to simulate wind power time series of large timescale[J].Power System Protection and Control,2013,41(1):7-13.
[17] 曹阳,李鹏,袁越,等.基于时序仿真的新能源消纳能力分析及其低碳效益评估[J].电力系统自动化 2014,38(17):60-66.CAO Yang,LI Peng,YUAN Yue,et al.Analysis on accommodating capability of renewable energy and assessment on low-carbon benefits based on time sequence simulation[J].Automation of Electric Power Systems,2014,38(17):60-66.
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