基于滑模控制的含风储多域电力系统负荷频率控制
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摘要
建立含风储多域互联电力系统负荷频率控制(LFC)模型,同时考虑系统参数不确定性、储能系统和传统机组控制信道延时问题.为提高系统鲁棒性,降低储能系统的容量配置,针对含风储的LFC模型,设计滑模负荷频率控制器,并提出滑模负荷频率控制器和储能协调的控制策略.算例分析表明,所提出的协调控制策略在新能源大规模渗透和系统负荷波动情况下能够有效减小系统频率偏差和区域控制偏差,同时降低储能系统的配置容量,提高电力系统安全稳定运行的经济性.
In this paper, a multi-area interconnected power system load frequency control(LFC) model with a wind turbine and energy storage system(ESS) is established. Meanwhile, the system parameter uncertainties and the time delay of control channel in the ESS and traditional generator are considered. In order to improve the robustness of the power system and reduce the capacity of the ESS, a sliding model load frequency controller is designed for the LFC model with the wind turbine and ESS, and a coordination control strategy for the sliding model load frequency controller and ESS is proposed. The simulation result verifies that the proposed coordination control strategy can reduce the system frequency deviation and area control error effectively under the increase of new energy penetration and system load fluctuation, and decrease the capacity of the ESS, thus improve the economic performance of the power system.
In this paper, a multi-area interconnected power system load frequency control(LFC) model with a wind turbine and energy storage system(ESS) is established. Meanwhile, the system parameter uncertainties and the time delay of control channel in the ESS and traditional generator are considered. In order to improve the robustness of the power system and reduce the capacity of the ESS, a sliding model load frequency controller is designed for the LFC model with the wind turbine and ESS, and a coordination control strategy for the sliding model load frequency controller and ESS is proposed. The simulation result verifies that the proposed coordination control strategy can reduce the system frequency deviation and area control error effectively under the increase of new energy penetration and system load fluctuation, and decrease the capacity of the ESS, thus improve the economic performance of the power system.
引文
[1]Dokopoulos P S,Saramourtsis A C,Bakirtzis A G.Prediction and evaluation of the performance of wind-diesel energy systems[J].IEEE Trans on Energy Conversion,1996,11(2):385-393.
[2]胡泽春,谢旭,张放,等.含储能资源参与的自动发电控制策略研究[J].中国电机工程学报,2014,29(34):5080-5087.(Hu Z C,Xie X,Zhang F,et al.Research on automatic generation control strategy incorporating energy storage resources[J].Proc of the CSEE,2014,29(34):5080-5087.)
[3]胡泽春,夏睿,吴林林,等.考虑储能参与调频的风储联合运行优化策略[J].电网技术,2016,40(8):2251-2257.(Hu Z C,Xia R,Wu L L,et al.Joint operation optimization of wind-storage union with energy storage participating frequency regulation[J].Power System Technology,201640(8):2251-2257.)
[4]丁冬,六宗歧,杨水丽,等.基于模糊控制的电池储能系统辅助AGC调频方法[J].电力系统保护与控制2015,43(8):81-87.(Ding D,Liu Z Q,Yang S L,et al.Battery energy storage aid automatic generation control for load frequency control based on fuzzy control[J].Power System Protection and Control,2015,43(8):81-87.)
[5]倪琳娜,罗吉,王少荣,等.含风电电力系统的频率控制[J].电工技术学报,2011,26(1):235-241.(Ni L N,Luo J,Wang S R,et al.Frequency control of power system with wind power integration[J].Trans of China Electro Technical Society,2011,26(1):235-241.)
[6]Yousef H A,AL-Kharusi K,Albadi M H,et al.Load frequency control of a multi-area power system:an adaptive fuzzy logic approach[J].IEEE Trans on Power System,2014,29(4):1822-1830.
[7]Kuljaca O,Gadewadikar J,Selmic R R.Adaptive neura network frequency control for thermo power generators power system[J].Int J of Robotics and Automatic,201126(1):86-92.
[8]Muyeen S M,Hasanien H M,Tamura J.Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor system[J].IET Renewable on Power Generation,2012,6(4):226-235.
[9]米阳,马超,符杨,等.基于滑模观测器的孤岛风柴混合电力系统SVC滑模补偿控制器设计[J].电网技术2017,41(1):178-186.(Mi Y,Ma C,Fu Y,et al.The design of sliding mode compensation controller in isolated wind-diesel hybrid power system based on sliding mode observer[J].Power System Technology,2017,41(1):178-186.)
[10]Mi Y,Fu Y,Li D D,et al.The sliding mode load frequency control for hybrid power system based on disturbance observe[J].Int J of Electrical Power and Energy System2016,74:446-452.
[11]Mi Y,Fu Y,Wang C S,et al.Decentralized sliding mode load frequency control for multi-area power systems[J]IEEE Trans on Power System,2013,28(4):885-895.
[12]Lu C F,Liu C C,Wu C J.Dynamic modeling of battery energy storage system and application to power system stability[J].IEEE Proc Generation Transmission and Distribution,1995,142(4):429-435.
[13]陆秋瑜,胡伟,郑乐,等.多时间尺度的电池储能系统建模与分析应用[J].中国电机工程学报,2013,33(16):86-93.(Lu Q Y,Hu W,Zheng L,et al.Modeling and analysis of battery energy storage systems in multi-time scales application[J].Proceedings of the CSEE,2013,33(16):86-93.)
[14]黄际元,李欣然,曹一家,等.考虑储能参与快速调频动作时机与深度的容量配置方法[J].电工技术学报,2015,30(12):454-464.(Huang J Y,Li X R,Cao Y J,et al.Capacity allocation of energy storage system considering its action moment and output depth in rapid frequency regulation[J].Trans of China Electro Technical Society,2015,30(12):454-464.)
[15]Senjyu T,Sakamoto R,Urasaki N,et al.Output power leveling of wind turbine generator for all operating regions by pitch angle control[J].IEEE Trans on Energy Conversion,2006,21(2):467-475.
[16]蔡旭,李征.风电机组与风电场的动态建模[M].北京:科学出版社,2016:86-127.(Cai X,Li Z.Dynamic modeling of wind turbine and wind farms[M].Beijing:Science Press,2016:86-127.)
[17]Yan X G,Spurgeon S K,Edwards C.Global decentralised static output feedback sliding mode control for interconnected time-delay system[J].IET Control Theory Application,2012,6(2):192-202.
[18]米阳,潘达,吴晓,等.基于等速趋近律的滑模负荷频率控制设计[J].控制工程,2014,21(3):326-329.(Mi Y,Pan D,Wu X,et al.The Research of sliding model load frequency control strategy based on constant reaching law[J].Control Engineering of China,2014,21(3):326-329.)
[19]高为炳.变结构控制的理论及设计方法[M].北京:科学出版社,1998:90-149.(Gao W B.The theory and design method of variable structure control[M].Beijing:Science Press,1998:90-149.)
[2]胡泽春,谢旭,张放,等.含储能资源参与的自动发电控制策略研究[J].中国电机工程学报,2014,29(34):5080-5087.(Hu Z C,Xie X,Zhang F,et al.Research on automatic generation control strategy incorporating energy storage resources[J].Proc of the CSEE,2014,29(34):5080-5087.)
[3]胡泽春,夏睿,吴林林,等.考虑储能参与调频的风储联合运行优化策略[J].电网技术,2016,40(8):2251-2257.(Hu Z C,Xia R,Wu L L,et al.Joint operation optimization of wind-storage union with energy storage participating frequency regulation[J].Power System Technology,201640(8):2251-2257.)
[4]丁冬,六宗歧,杨水丽,等.基于模糊控制的电池储能系统辅助AGC调频方法[J].电力系统保护与控制2015,43(8):81-87.(Ding D,Liu Z Q,Yang S L,et al.Battery energy storage aid automatic generation control for load frequency control based on fuzzy control[J].Power System Protection and Control,2015,43(8):81-87.)
[5]倪琳娜,罗吉,王少荣,等.含风电电力系统的频率控制[J].电工技术学报,2011,26(1):235-241.(Ni L N,Luo J,Wang S R,et al.Frequency control of power system with wind power integration[J].Trans of China Electro Technical Society,2011,26(1):235-241.)
[6]Yousef H A,AL-Kharusi K,Albadi M H,et al.Load frequency control of a multi-area power system:an adaptive fuzzy logic approach[J].IEEE Trans on Power System,2014,29(4):1822-1830.
[7]Kuljaca O,Gadewadikar J,Selmic R R.Adaptive neura network frequency control for thermo power generators power system[J].Int J of Robotics and Automatic,201126(1):86-92.
[8]Muyeen S M,Hasanien H M,Tamura J.Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor system[J].IET Renewable on Power Generation,2012,6(4):226-235.
[9]米阳,马超,符杨,等.基于滑模观测器的孤岛风柴混合电力系统SVC滑模补偿控制器设计[J].电网技术2017,41(1):178-186.(Mi Y,Ma C,Fu Y,et al.The design of sliding mode compensation controller in isolated wind-diesel hybrid power system based on sliding mode observer[J].Power System Technology,2017,41(1):178-186.)
[10]Mi Y,Fu Y,Li D D,et al.The sliding mode load frequency control for hybrid power system based on disturbance observe[J].Int J of Electrical Power and Energy System2016,74:446-452.
[11]Mi Y,Fu Y,Wang C S,et al.Decentralized sliding mode load frequency control for multi-area power systems[J]IEEE Trans on Power System,2013,28(4):885-895.
[12]Lu C F,Liu C C,Wu C J.Dynamic modeling of battery energy storage system and application to power system stability[J].IEEE Proc Generation Transmission and Distribution,1995,142(4):429-435.
[13]陆秋瑜,胡伟,郑乐,等.多时间尺度的电池储能系统建模与分析应用[J].中国电机工程学报,2013,33(16):86-93.(Lu Q Y,Hu W,Zheng L,et al.Modeling and analysis of battery energy storage systems in multi-time scales application[J].Proceedings of the CSEE,2013,33(16):86-93.)
[14]黄际元,李欣然,曹一家,等.考虑储能参与快速调频动作时机与深度的容量配置方法[J].电工技术学报,2015,30(12):454-464.(Huang J Y,Li X R,Cao Y J,et al.Capacity allocation of energy storage system considering its action moment and output depth in rapid frequency regulation[J].Trans of China Electro Technical Society,2015,30(12):454-464.)
[15]Senjyu T,Sakamoto R,Urasaki N,et al.Output power leveling of wind turbine generator for all operating regions by pitch angle control[J].IEEE Trans on Energy Conversion,2006,21(2):467-475.
[16]蔡旭,李征.风电机组与风电场的动态建模[M].北京:科学出版社,2016:86-127.(Cai X,Li Z.Dynamic modeling of wind turbine and wind farms[M].Beijing:Science Press,2016:86-127.)
[17]Yan X G,Spurgeon S K,Edwards C.Global decentralised static output feedback sliding mode control for interconnected time-delay system[J].IET Control Theory Application,2012,6(2):192-202.
[18]米阳,潘达,吴晓,等.基于等速趋近律的滑模负荷频率控制设计[J].控制工程,2014,21(3):326-329.(Mi Y,Pan D,Wu X,et al.The Research of sliding model load frequency control strategy based on constant reaching law[J].Control Engineering of China,2014,21(3):326-329.)
[19]高为炳.变结构控制的理论及设计方法[M].北京:科学出版社,1998:90-149.(Gao W B.The theory and design method of variable structure control[M].Beijing:Science Press,1998:90-149.)
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