考虑风电并网友好性的日前分层调度计划模型
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摘要
为了最大程度消纳风电及激励风电场改善并网特性,提出了一种考虑风电并网友好性的日前分层调度计划模型。上层调度模型中,通过风电和常规机组的协调调度,实现系统综合成本最小的目标。下层调度模型中,建立风电友好性评估模型对风电场并网友好性予以评估。以风电功率预测信息及上层调度模型的风电出力计划等作为约束,制定各风电场的日前调度出力计划。最后通过在IEEE 30节点系统进行算例仿真,验证了该方法的有效性。
A day-ahead hierarchical dispatching model considering friendliness of wind power is proposed to maximize accommodation of wind power and encourage wind farms to improve grid integration characteristics. In the upper-layer dispatching model, the minimum comprehensive cost of the system is achieved through coordinating dispatching of wind farms and conventional units. In the lower-layer dispatching model, the wind power friendliness evaluation system is established to evaluate the friendliness of wind farms. With prediction information and upper-layer dispatching model dispatching plan of wind power as constraints, a day-ahead dispatching plan of every wind farm is formulated. Simulations on an IEEE 30-bus system demonstrate the effectiveness of the proposed methodology.
A day-ahead hierarchical dispatching model considering friendliness of wind power is proposed to maximize accommodation of wind power and encourage wind farms to improve grid integration characteristics. In the upper-layer dispatching model, the minimum comprehensive cost of the system is achieved through coordinating dispatching of wind farms and conventional units. In the lower-layer dispatching model, the wind power friendliness evaluation system is established to evaluate the friendliness of wind farms. With prediction information and upper-layer dispatching model dispatching plan of wind power as constraints, a day-ahead dispatching plan of every wind farm is formulated. Simulations on an IEEE 30-bus system demonstrate the effectiveness of the proposed methodology.
引文
[1]康重庆,姚良忠.高比例可再生能源电力系统的关键科学问题与理论研究框架[J].电力系统自动化,2017,41(9):2-11.KANG Chongqing,YAO Liangzhong.Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J].Automation of Electric Power Systems,2017,41(9):2-11.
[2]周玮,孙辉,顾宏,等.含风电场的电力系统经济调度研究综述[J].电力系统保护与控制,2011,39(24):148-154.ZHOU Wei,SUN Hui,GU Hong,et al.A review on economic dispatch of power system including wind farms[J].Power System Protection and Control,2011,39(24):148-154.
[3]钟海旺,夏清,张健,等.激励风电场提升功率预测精度的机制设计[J].电力系统自动化,2015,39(5):47-53.ZHONG Haiwang,XIA Qing,ZHANG Jian,et al.Mechanism design for incentivizing wind farms to improve power forecast accuracy[J].Automation of Electric Power Systems,2015,39(5):47-53.
[4]戚永志,刘玉田.基于竞争博弈的风电爬坡协同控制策略[J].中国电机工程学报,2014,34(25):4341-4349.QI Yongzhi,LIU Yutian.Ramping coordination control of wind generation based on competitive game theory[J].Proceedings of the CSEE,2014,34(25):4341-4349.
[5]黄杨,胡伟,陈立.基于两阶段优化的风储联合发电系统日前发电计划模式[J].电力系统自动化,2015,39(24):8-15.HUANG Yang,HU Wei,CHEN Li.Day-ahead generation scheduling plan models for large-scale wind-storage combined power generation system based on two-stage optimization[J].Automation of Electric Power Systems,2015,39(24):8-15.
[6]崔杨,周海涛,严干贵,等.考虑环境成本及网络约束的风-火联合发电调度[J].电网技术,2017,42(11):3457-3462.CUI Yang,ZHOU Haitao,YAN Gangui,et al.Combined dispatching of wind and thermal power generation considering environmental cost and network constraints[J].Power System Technology,2017,42(11):3457-3462.
[7]李茜,刘天琪,李兴源.大规模风电接入的电力系统优化调度新方法[J].电网技术,2013,37(3):733-739.LI Qian,LIU Tianqi,LI Xingyuan.A new optimized dispatch method for power grid connected with largescale wind farms[J].Power System Technology,2013,37(3):733-739.
[8]朱永胜,王杰,瞿博阳,等.含风电场的多目标动态环境经济调度[J].电网技术,2015,39(5):1315-1322.ZHU Yongsheng,WANG Jie,QU Boyang,et al.Multiobjective dynamic economic emission dispatching of power grid containing wind farms[J].Power System Technology,2015,39(5):1315-1322.
[9]杨家然,王兴成,隋林涛,等.采用混合智能算法的含风电电力系统多目标优化调度[J].电力系统保护与控制,2017,45(11):21-27.YANG Jiaran,WANG Xingcheng,SUI Lintao,et al.Multi-objective optimal scheduling of wind integrated power systems with hybrid intelligent algorithm[J].Power System Protection and Control,2017,45(11):21-27.
[10]贺建波,胡志坚,刘宇凯.大规模多目标水-火-风协调优化调度模型的建立及求解[J].电力系统保护与控制,2015,43(6):1-7.HE Jianbo,HU Zhijian,LIU Yukai.Establishment and solution of the large-scale multi-objective hydro-thermalwind power coordination optimization dispatching model[J].Power System Protection and Control,2015,43(6):1-7.
[11]叶希,乔颖,鲁宗相,等.基于集群风电虚拟机组的源端系统分层协调日前计划[J].电力系统自动化,2016,40(1):24-32.YE Xi,QIAO Ying,LU Zongxiang,et al.Virtual power generator based day-ahead hierarchically coordinated generation schedule for source side system[J].Automation of Electric Power Systems,2016,40(1):24-32.
[12]马瑞,康仁,姜飞,等.考虑风电随机模糊不确定性的电力系统多目标优化调度计划研究[J].电力系统保护与控制,2013,41(1):150-156.MA Rui,KANG Ren,JIANG Fei,et al.Multi-objective dispatch planning of power system considering the stochastic and fuzzy wind power[J].Power System Protection and Control,2013,41(1):150-156.
[13]任博强,彭鸣鸿,蒋传文,等.计及风电成本的电力系统短期经济调度建模[J].电力系统保护与控制,2010,38(14):67-72.REN Boqiang,PENG Minghong,JIANG Chuanwen,et al.Short-term economic dispatch of power system modeling considering the cost of wind power[J].Power System Protection and Control,2010,38(14):67-72.
[14]杨家然,王兴成,蒋程,等.计及风力发电风险的电力系统多目标动态优化调度[J].电力系统保护与控制,2016,44(7):25-31.YANG Jiaran,WANG Xingcheng,JIANG Cheng,et al.Multi-objective dynamic optimal scheduling of power system considering wind power risk[J].Power System Protection and Control,2016,44(7):25-31.
[15]黄杨,胡伟,闵勇,等.计及风险备用的大规模风储联合系统广域协调调度[J].电力系统自动化,2014,38(9):41-47.HUANG Yang,HU Wei,MIN Yong,et al.Risk-constrained coordinative dispatching for large-scale wind-storage system[J].Automation of Electric Power Systems,2014,38(9):41-47.
[16]王海冰,王承民,张庚午,等.考虑条件风险价值的两阶段发电调度随机规划模型和方法[J].中国电机工程学报,2016,36(24):6838-6848.WANG Haibing,WANG Chengmin,ZHANG Gengwu,et al.Two-stage stochastic generation dispatching model and method considering conditional value-at-risk[J].Power System Protection and Control,2016,36(24):6838-6848.
[17]易国伟,童小娇,周鹏,等.CVaR和EVaR安全运行风险管理下的电力系统经济调度[J].电力系统保护与控制,2016,44(8):49-56.YI Guowei,TONG Xiaojiao,ZHOU Peng,et al.Power system economic dispatch under CVaR and EVaRsecurity operation risk management[J].Power System Protection and Control,2016,44(8):49-56.
[18]黎静华,文劲宇,潘毅,等.面向新能源并网的电力系统鲁棒调度模式[J].电力系统保护与控制,2015,43(22):47-54.LI Jinghua,WEN Jinyu,PAN Yi,et al.Robust dispatching mode of electrical power system to cope with renewable energy power[J].Power System Protection and Control,2015,43(22):47-54.
[19]许汉平,李姚旺,苗世洪,等.考虑可再生能源消纳效益的电力系统“源-荷-储”协调互动优化调度策略[J].电力系统保护与控制,2017,45(17):18-25.XU Hanping,LI Yaowang,MIAO Shihong,et al.Optimization dispatch strategy considering renewable energy consumptive benefits based on"source-load-energy storage"coordination in power system[J].Power System Protection and Control,2017,45(17):18-25.
[20]LORCAá,SUN X A.Multistage robust unit commitment with dynamic uncertainty sets and energy storage[J].IEEE Transactions on Power Systems,2017,32(3):1678-1688.
[21]LI Jinghua,WANG Sai,YE Liu,et al.A coordinated dispatch method with pumped-storage and battery-storage for compensating the variation of wind power[J].Protection and Control of Modern Power Systems,2018,3(3):21-34.DOI:10.1186/s41601-017-0074-9.
[2]周玮,孙辉,顾宏,等.含风电场的电力系统经济调度研究综述[J].电力系统保护与控制,2011,39(24):148-154.ZHOU Wei,SUN Hui,GU Hong,et al.A review on economic dispatch of power system including wind farms[J].Power System Protection and Control,2011,39(24):148-154.
[3]钟海旺,夏清,张健,等.激励风电场提升功率预测精度的机制设计[J].电力系统自动化,2015,39(5):47-53.ZHONG Haiwang,XIA Qing,ZHANG Jian,et al.Mechanism design for incentivizing wind farms to improve power forecast accuracy[J].Automation of Electric Power Systems,2015,39(5):47-53.
[4]戚永志,刘玉田.基于竞争博弈的风电爬坡协同控制策略[J].中国电机工程学报,2014,34(25):4341-4349.QI Yongzhi,LIU Yutian.Ramping coordination control of wind generation based on competitive game theory[J].Proceedings of the CSEE,2014,34(25):4341-4349.
[5]黄杨,胡伟,陈立.基于两阶段优化的风储联合发电系统日前发电计划模式[J].电力系统自动化,2015,39(24):8-15.HUANG Yang,HU Wei,CHEN Li.Day-ahead generation scheduling plan models for large-scale wind-storage combined power generation system based on two-stage optimization[J].Automation of Electric Power Systems,2015,39(24):8-15.
[6]崔杨,周海涛,严干贵,等.考虑环境成本及网络约束的风-火联合发电调度[J].电网技术,2017,42(11):3457-3462.CUI Yang,ZHOU Haitao,YAN Gangui,et al.Combined dispatching of wind and thermal power generation considering environmental cost and network constraints[J].Power System Technology,2017,42(11):3457-3462.
[7]李茜,刘天琪,李兴源.大规模风电接入的电力系统优化调度新方法[J].电网技术,2013,37(3):733-739.LI Qian,LIU Tianqi,LI Xingyuan.A new optimized dispatch method for power grid connected with largescale wind farms[J].Power System Technology,2013,37(3):733-739.
[8]朱永胜,王杰,瞿博阳,等.含风电场的多目标动态环境经济调度[J].电网技术,2015,39(5):1315-1322.ZHU Yongsheng,WANG Jie,QU Boyang,et al.Multiobjective dynamic economic emission dispatching of power grid containing wind farms[J].Power System Technology,2015,39(5):1315-1322.
[9]杨家然,王兴成,隋林涛,等.采用混合智能算法的含风电电力系统多目标优化调度[J].电力系统保护与控制,2017,45(11):21-27.YANG Jiaran,WANG Xingcheng,SUI Lintao,et al.Multi-objective optimal scheduling of wind integrated power systems with hybrid intelligent algorithm[J].Power System Protection and Control,2017,45(11):21-27.
[10]贺建波,胡志坚,刘宇凯.大规模多目标水-火-风协调优化调度模型的建立及求解[J].电力系统保护与控制,2015,43(6):1-7.HE Jianbo,HU Zhijian,LIU Yukai.Establishment and solution of the large-scale multi-objective hydro-thermalwind power coordination optimization dispatching model[J].Power System Protection and Control,2015,43(6):1-7.
[11]叶希,乔颖,鲁宗相,等.基于集群风电虚拟机组的源端系统分层协调日前计划[J].电力系统自动化,2016,40(1):24-32.YE Xi,QIAO Ying,LU Zongxiang,et al.Virtual power generator based day-ahead hierarchically coordinated generation schedule for source side system[J].Automation of Electric Power Systems,2016,40(1):24-32.
[12]马瑞,康仁,姜飞,等.考虑风电随机模糊不确定性的电力系统多目标优化调度计划研究[J].电力系统保护与控制,2013,41(1):150-156.MA Rui,KANG Ren,JIANG Fei,et al.Multi-objective dispatch planning of power system considering the stochastic and fuzzy wind power[J].Power System Protection and Control,2013,41(1):150-156.
[13]任博强,彭鸣鸿,蒋传文,等.计及风电成本的电力系统短期经济调度建模[J].电力系统保护与控制,2010,38(14):67-72.REN Boqiang,PENG Minghong,JIANG Chuanwen,et al.Short-term economic dispatch of power system modeling considering the cost of wind power[J].Power System Protection and Control,2010,38(14):67-72.
[14]杨家然,王兴成,蒋程,等.计及风力发电风险的电力系统多目标动态优化调度[J].电力系统保护与控制,2016,44(7):25-31.YANG Jiaran,WANG Xingcheng,JIANG Cheng,et al.Multi-objective dynamic optimal scheduling of power system considering wind power risk[J].Power System Protection and Control,2016,44(7):25-31.
[15]黄杨,胡伟,闵勇,等.计及风险备用的大规模风储联合系统广域协调调度[J].电力系统自动化,2014,38(9):41-47.HUANG Yang,HU Wei,MIN Yong,et al.Risk-constrained coordinative dispatching for large-scale wind-storage system[J].Automation of Electric Power Systems,2014,38(9):41-47.
[16]王海冰,王承民,张庚午,等.考虑条件风险价值的两阶段发电调度随机规划模型和方法[J].中国电机工程学报,2016,36(24):6838-6848.WANG Haibing,WANG Chengmin,ZHANG Gengwu,et al.Two-stage stochastic generation dispatching model and method considering conditional value-at-risk[J].Power System Protection and Control,2016,36(24):6838-6848.
[17]易国伟,童小娇,周鹏,等.CVaR和EVaR安全运行风险管理下的电力系统经济调度[J].电力系统保护与控制,2016,44(8):49-56.YI Guowei,TONG Xiaojiao,ZHOU Peng,et al.Power system economic dispatch under CVaR and EVaRsecurity operation risk management[J].Power System Protection and Control,2016,44(8):49-56.
[18]黎静华,文劲宇,潘毅,等.面向新能源并网的电力系统鲁棒调度模式[J].电力系统保护与控制,2015,43(22):47-54.LI Jinghua,WEN Jinyu,PAN Yi,et al.Robust dispatching mode of electrical power system to cope with renewable energy power[J].Power System Protection and Control,2015,43(22):47-54.
[19]许汉平,李姚旺,苗世洪,等.考虑可再生能源消纳效益的电力系统“源-荷-储”协调互动优化调度策略[J].电力系统保护与控制,2017,45(17):18-25.XU Hanping,LI Yaowang,MIAO Shihong,et al.Optimization dispatch strategy considering renewable energy consumptive benefits based on"source-load-energy storage"coordination in power system[J].Power System Protection and Control,2017,45(17):18-25.
[20]LORCAá,SUN X A.Multistage robust unit commitment with dynamic uncertainty sets and energy storage[J].IEEE Transactions on Power Systems,2017,32(3):1678-1688.
[21]LI Jinghua,WANG Sai,YE Liu,et al.A coordinated dispatch method with pumped-storage and battery-storage for compensating the variation of wind power[J].Protection and Control of Modern Power Systems,2018,3(3):21-34.DOI:10.1186/s41601-017-0074-9.
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