电网大规模电储热单元优化调度模型研究
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摘要
随着电-热系统耦合程度的不断加深,在保证系统运行灵活性的基础上,充分考虑电-热耦合关系,进一步提高新能源消纳水平是电力系统发展所必须面对的问题。首先对装设于发电厂侧的储热装置的运行特性进行分析,在此基础上构建了储热单元就地控制与远方控制的优化控制策略;并将其纳入日前发电计划,构建了考虑储热单元控制策略的系统电-热优化调度模型。为了验证所构建模型的合理性,基于辽宁省电网的实际数据,分析了所构建模型对辽宁省风电消纳能力的提升效果,并对该模型下的电量效益进行了计算分析,有效验证了该模型的合理性与有效性。
With the deepening of electric-thermal system coupling degree, it is necessary to take full account of the electric-thermal coupling relationship and further improve the level of new energy absorption on the basis of ensuring the flexibility of system operation.The operation characteristics of the thermal storage unit installed at the power plant side are analyzed, and the optimal local control and remote control strategy of the thermal storage unit are constructed:,and the optimal dispatching model of the system considering the control strategy of the thermal storage unit is constructed. In order to verify the rationality of the model, based on the actual data of Liaoning power grid, the effect of the model on improving the absorption capacity of wind power in Liaoning Province is ainalyzed, and the electricity benefit under the model are calculated and analyzed.
With the deepening of electric-thermal system coupling degree, it is necessary to take full account of the electric-thermal coupling relationship and further improve the level of new energy absorption on the basis of ensuring the flexibility of system operation.The operation characteristics of the thermal storage unit installed at the power plant side are analyzed, and the optimal local control and remote control strategy of the thermal storage unit are constructed:,and the optimal dispatching model of the system considering the control strategy of the thermal storage unit is constructed. In order to verify the rationality of the model, based on the actual data of Liaoning power grid, the effect of the model on improving the absorption capacity of wind power in Liaoning Province is ainalyzed, and the electricity benefit under the model are calculated and analyzed.
引文
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[3]榻培正,雷佳,华栋,等.消纳大规模风电的电力系统源荷协同调度[J].广东电力,2016,29(8):11-16.XUAN Peizheng,LEI Jia,HUA Dong,et al.Source-load coordination dispatching for power system considering large-scale wind power accommodation[J].Guangdong Electric Power,2016,29(8):11-16.
[4]彭怡峰,张浩,曾蓉,等.微电网蓄热储能消纳弃风的运行模型[J].供用电,2016,33(7):74-78.PENG Yifeng,ZHANG Hao,ZENG Rongf et al.A joint operation model of combining heat storage and CCHP to promote accommodation of wind power in microgrid[J].Distribution&Utilization,2016,33(7):74-78.
[5]彭小圣,熊磊,文劲宇,等.风电集群短期及超短期功率预测精度改进方法综述[J].中国电机工程学报,2016,36(23):6315-6326.PENG Xiaosheng,XIONG Lei,WEN Jinyu,et al.Areview of the methods for improving the accuracy of shorttenn and ultra-short-term power forecasting of wind power clusters[J].Proceedings of the CSEE,2016,36(23):6315-6326.
[6]LU M S,CHANG C L,LEE W J,et al.Combining the wind power generation system with energy storage equipment[J],IEEE Transactions on Industry Applications,2009,45(6):2109-2115.
[7]闫鹤鸣,李相俊,麻秀范,等.基于超短期风电预测功率的储能系统跟踪风电计划出力控制方法[J].电网技术,2015,39(2):432-439.YAN Heming,LI Xiangjun,MA Xiufan,et al.Power storage system tracking output control method for wind power planning based on ultra-short-term wind power prediction[J],Power System Technology,2015,39(2):432-439.
[8]赵书强,王扬,徐岩.基于风电预测误差随机性的火储联合相关机会规划调度[J].中国电机工程学报,2014,34(S1):9-16.ZHAO Shuqiang,WANG Yang,XU Yan.Joint opportunity planning and dispatching of fire and reserves based on random error of wind power prediction[J].Proceedings of the CSEE,2014,34(SI):9-16.
[9]JIANG Q,WANG H.Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations.IEEE Transactions on Energy Conversion,2013,28(1):52-61.
[10]刘霞,江全元.风光储混合系统的协调优化控制m.电力系统自动化,2012,36(14):95-100.LIU Xia,JIANG Quanyuan.Coordinated optimal control of hybrid system of scenery,solar energy and storagefj.Automation of Electric Power System,2012,36(14):95-100.
[11]MOSAYEBIAN M E,SOLEYMANI S,MOZAFARI S B,et al.Synthetic generation of wind power time series for wind/storage systems integration studies[J].Journal of Renewable&Sustainable Energy,2016,8(1):212-220.
[12]DING H,HU Z,SONG Y.Rolling optimization of wind farm and energy storage system in electricity markets[J].IEEE Transactions on Power Systems,2015,30(5):2676-2684.
[13]LI Z,WU W,SHAHIDEHPOUR M,et al.Combined heat and power dispatch considering pipeline eneiy storage of district heating network[J].IEEE Transactions on Sustainable Energy,2015,7(1):12-22.
[14]于婧,孙宏斌,沈欣炜.考虑储热装置的风电-热电机组联合优化运行策略[J].电力自动化设备,2017,37(6):139-145.YU Jingf SUN Hongbin,SHEN Xinwei.Joint optimal operation strategy for Wind-Thermal power units with heat storage devices[JJ.Electric Power Automation Equipment,2017,37(6):139-145.1
[15]徐飞,闵勇,陈磊,等.包含大容量储热的电-热联合系统[J].中国电机工程学报,2014,34(29):5063-5072.XU Fei,MIN Yong,CHEN Lei,et al.Electrical-thermal combined system with large capacity heat storage[J].Proceedings of the CSEE,2014,34(29):5063-5072.
[16]陈天佑.基于储热的热电厂消纳风电方案研究[D].大连:大连理工大学,2014.