To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which el...To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which elements of conventional mathematical optimization algorithms are combined with adaptive dynamic elements drawn from intelligent control theory. In our design, the sequential quadratic programming algorithm was first utilized to obtain an optimal solution for power distribution among multiple units. Fuzzy system was then developed to implement the optimal strategies on the basis of optimal solution. In addition, parameters of the fuzzy system were adapted via a genetic algorithm. Tbe simulation results illustrate that the methodology described is useful for a range of control system designs.展开更多
The uncertainties associated with multi-area power systems comprising both thermal and distributed renewable generation(DRG)sources such as solar and wind necessitate the use of an efficient load frequency control(LFC...The uncertainties associated with multi-area power systems comprising both thermal and distributed renewable generation(DRG)sources such as solar and wind necessitate the use of an efficient load frequency control(LFC)technique.Therefore,a hybrid version of two metaheuristic algorithms(arithmetic optimization and African vulture’s optimization algorithm)is developed.It is called the‘arithmetic optimized African vulture’s optimization algorithm(AOAVOA)’.This algorithm is used to tune a novel type-2 fuzzy-based proportional–derivative branched with dual degree-of-freedom proportional–integral–derivative controller for the LFC of a three-area hybrid deregulated power system.Thermal,electric vehicle(EV),and DRG sources(including a solar panel and a wind turbine system)are con-nected in area-1.Area-2 involves thermal and gas-generating units(GUs),while thermal and geothermal units are linked in area-3.Practical restrictions such as thermo-boiler dynamics,thermal-governor dead-band,and genera-tion rate constraints are also considered.The proposed LFC method is compared to other controllers and optimizers to demonstrate its superiority in rejecting step and random load disturbances.By functioning as energy storage ele-ments,EVs and DRG units can enhance dynamic responses during peak demand.As a result,the effect of the afore-mentioned units on dynamic reactions is also investigated.To validate its effectiveness,the closed-loop system is subjected to robust stability analysis and is compared to various existing control schemes from the literature.It is determined that the suggested AOAVOA improves fitness by 40.20%over the arithmetic optimizer(AO),while fre-quency regulation is improved by 4.55%over an AO-tuned type-2 fuzzy-based branched controller.展开更多
针对独立微电网中传统主从控制策略存在响应速度慢和抗负荷波动能力不足的问题,改进下垂控制结构,并结合模糊比例-积分(proportion integration,PI)算法,提出一种新型主从控制策略,根据电压变化,利用模糊算法实时优化下垂控制参数,可大...针对独立微电网中传统主从控制策略存在响应速度慢和抗负荷波动能力不足的问题,改进下垂控制结构,并结合模糊比例-积分(proportion integration,PI)算法,提出一种新型主从控制策略,根据电压变化,利用模糊算法实时优化下垂控制参数,可大大提高系统的负荷响应能力,减小负荷波动对系统造成的影响,有效提高多微源微电网的稳定性和鲁棒性。通过电力系统计算机辅助设计和电磁暂态模拟程序(power system computer aided design and electric magnetic transient in DC system,PSCAD/EMTDC)仿真软件验证新型控制策略的有效性。展开更多
由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利...由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利于电网的绿化和供能的多元化.分布式电源通过逆变升压整流来维持APF直流侧的电容电压的稳定,而不需要消耗电网中的能量.针对畸变电压的工况,设计了自适应dq检测算法;在APF控制上采用了自适应模糊控制的策略,不仅能快速跟踪谐波电流,而且具有较强的鲁棒性.仿真结果验证了该系统设计的可行性和可靠性,证明了本文所提算法的有效性和正确性.展开更多
分布式潮流控制器(distributed power flow controller,DPFC)功能强大,能够有选择性地控制所有影响输电线路潮流的参数,其串并联解耦结构解决了统一潮流控制器(unified power flow controller,UPFC)在微电网潮流控制中的不足。DPFC的控...分布式潮流控制器(distributed power flow controller,DPFC)功能强大,能够有选择性地控制所有影响输电线路潮流的参数,其串并联解耦结构解决了统一潮流控制器(unified power flow controller,UPFC)在微电网潮流控制中的不足。DPFC的控制能力依赖自身控制器的控制性能,为了实现其对辐射型微电网多条线路潮流的快速平稳控制,在模糊变间距自调整控制的基础上,引入人工鱼群算法(artificial fish swarm algorithm,AFSA),对串并联模糊控制器的量化因子和比例因子寻优,进而优化模糊控制规则,提高系统的响应速度。运用MATLAB/SIMULINK仿真平台建立了仿真模型,对所提控制策略进行了仿真验证,并与传统的比例-积分(proportional-intergral,PI)控制进行了对比。结果表明,采用AFSA模糊优化的DPFC能够快速跟踪潮流变化,维持公共连接点(common connection point,PCC)处母线电压保持恒定,响应速度快,超调量小,控制精度高。展开更多
基金Sponsored by the Indiana 21st Century Research and Technology Fund
文摘To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which elements of conventional mathematical optimization algorithms are combined with adaptive dynamic elements drawn from intelligent control theory. In our design, the sequential quadratic programming algorithm was first utilized to obtain an optimal solution for power distribution among multiple units. Fuzzy system was then developed to implement the optimal strategies on the basis of optimal solution. In addition, parameters of the fuzzy system were adapted via a genetic algorithm. Tbe simulation results illustrate that the methodology described is useful for a range of control system designs.
文摘The uncertainties associated with multi-area power systems comprising both thermal and distributed renewable generation(DRG)sources such as solar and wind necessitate the use of an efficient load frequency control(LFC)technique.Therefore,a hybrid version of two metaheuristic algorithms(arithmetic optimization and African vulture’s optimization algorithm)is developed.It is called the‘arithmetic optimized African vulture’s optimization algorithm(AOAVOA)’.This algorithm is used to tune a novel type-2 fuzzy-based proportional–derivative branched with dual degree-of-freedom proportional–integral–derivative controller for the LFC of a three-area hybrid deregulated power system.Thermal,electric vehicle(EV),and DRG sources(including a solar panel and a wind turbine system)are con-nected in area-1.Area-2 involves thermal and gas-generating units(GUs),while thermal and geothermal units are linked in area-3.Practical restrictions such as thermo-boiler dynamics,thermal-governor dead-band,and genera-tion rate constraints are also considered.The proposed LFC method is compared to other controllers and optimizers to demonstrate its superiority in rejecting step and random load disturbances.By functioning as energy storage ele-ments,EVs and DRG units can enhance dynamic responses during peak demand.As a result,the effect of the afore-mentioned units on dynamic reactions is also investigated.To validate its effectiveness,the closed-loop system is subjected to robust stability analysis and is compared to various existing control schemes from the literature.It is determined that the suggested AOAVOA improves fitness by 40.20%over the arithmetic optimizer(AO),while fre-quency regulation is improved by 4.55%over an AO-tuned type-2 fuzzy-based branched controller.
文摘针对独立微电网中传统主从控制策略存在响应速度慢和抗负荷波动能力不足的问题,改进下垂控制结构,并结合模糊比例-积分(proportion integration,PI)算法,提出一种新型主从控制策略,根据电压变化,利用模糊算法实时优化下垂控制参数,可大大提高系统的负荷响应能力,减小负荷波动对系统造成的影响,有效提高多微源微电网的稳定性和鲁棒性。通过电力系统计算机辅助设计和电磁暂态模拟程序(power system computer aided design and electric magnetic transient in DC system,PSCAD/EMTDC)仿真软件验证新型控制策略的有效性。
文摘由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利于电网的绿化和供能的多元化.分布式电源通过逆变升压整流来维持APF直流侧的电容电压的稳定,而不需要消耗电网中的能量.针对畸变电压的工况,设计了自适应dq检测算法;在APF控制上采用了自适应模糊控制的策略,不仅能快速跟踪谐波电流,而且具有较强的鲁棒性.仿真结果验证了该系统设计的可行性和可靠性,证明了本文所提算法的有效性和正确性.
文摘分布式潮流控制器(distributed power flow controller,DPFC)功能强大,能够有选择性地控制所有影响输电线路潮流的参数,其串并联解耦结构解决了统一潮流控制器(unified power flow controller,UPFC)在微电网潮流控制中的不足。DPFC的控制能力依赖自身控制器的控制性能,为了实现其对辐射型微电网多条线路潮流的快速平稳控制,在模糊变间距自调整控制的基础上,引入人工鱼群算法(artificial fish swarm algorithm,AFSA),对串并联模糊控制器的量化因子和比例因子寻优,进而优化模糊控制规则,提高系统的响应速度。运用MATLAB/SIMULINK仿真平台建立了仿真模型,对所提控制策略进行了仿真验证,并与传统的比例-积分(proportional-intergral,PI)控制进行了对比。结果表明,采用AFSA模糊优化的DPFC能够快速跟踪潮流变化,维持公共连接点(common connection point,PCC)处母线电压保持恒定,响应速度快,超调量小,控制精度高。
