A Simplified Grey Wolf Optimizer(SGWO)is suggested for resolving optimization tasks.The simplification in the original Grey Wolf Optimizer(GWO)method is introduced by ignoring the worst category wolves while giving pr...A Simplified Grey Wolf Optimizer(SGWO)is suggested for resolving optimization tasks.The simplification in the original Grey Wolf Optimizer(GWO)method is introduced by ignoring the worst category wolves while giving priority to the better wolves during the search process.The advantage of the presented SGWO over GWO is a better solution taking less execution time and is demonstrated by taking unimodal,multimodal,and fixed dimension test functions.The results are also contrasted to the Gravitational Search Algorithm,the Particle Swarm Optimization,and the Sine Cosine Algorithm and this shows the superiority of the proposed SGWO technique.Practical application in a Distributed Power Generation System(DPGS)with energy storage is then considered by designing an Adaptive Fuzzy PID(AFPID)controller using the suggested SGWO method for frequency control.The DPGS contains renewable generation such as photovoltaic,wind,and storage elements such as battery and flywheel,in addition to plug-in electric vehicles.It is demonstrated that the SGWO method is superior to the GWO method in the optimal controller design task.It is also seen that SGWO based AFPID controller is highly efficacious in regulating the frequency compared to the standard PID controller.A sensitivity study is also performed to examine the impact of the unpredictability in the parameters of the investigated system on system performance.Finally,the novelty of the paper is demonstrated by comparing with the existing publications in an extensively used two-area test system.展开更多
This paper presents the model of a static synchronous condenser （STATCOM） which is controlled externally by a newly designed power oscillation controller （POC） for the improvements of power system stability and da...This paper presents the model of a static synchronous condenser （STATCOM） which is controlled externally by a newly designed power oscillation controller （POC） for the improvements of power system stability and damping effect of an on line power system. The proposed POC consists of two controllers （power oscillation damping ＆ proportional integral derivative PID ＆ POD）. PID parameters have been optimized by Zigler Necles close loop tuning method. Machine excitation has been controller by using excitation controller as required. Both single phase and three phase faults has been considered in the research. In this paper, a power system network is considered which is simulated in the phasor simulation method ＆ the network is simulated in three steps： without STATCOM, with STATCOM but no externally controlled, STATCOM with POC. Simulation result shows that without STATCOM, the system parameters become unstable during faults. When STATCOM is imposed in the network, then system parameters become stable. Again, when STATCOM is controlled externally by POC controllers, then system voltage ＆ power becomes stable in faster way then without controller It has been observed that the STATCOM ratings are only 20 MVA with controllers and 200 MVA without controllers. Therefore, STATCOM with POC controllers are more effective to enhance the voltage stability and increases power transmission capacity of a power system. So STATCOM with POC ＆ excitation controllers, the system performance is greatly enhanced.展开更多
建立了交流稳压电源主电路数学模型并分析其闭环稳压控制原理。由于装置具有较强的非线性和变结构、变参数特性,采用经典PID控制器很难获得理想的控制效果。将人工神经网络与传统PID控制器相结合,构成一种不依赖于被控对象精确数学模型...建立了交流稳压电源主电路数学模型并分析其闭环稳压控制原理。由于装置具有较强的非线性和变结构、变参数特性,采用经典PID控制器很难获得理想的控制效果。将人工神经网络与传统PID控制器相结合,构成一种不依赖于被控对象精确数学模型的神经网络PID控制器。为了提高神经网络的收敛速度,采用Levenberg-Marquardt算法计算连接权值更新量,并对当前解施加一个以一定概率保留的随机扰动,加快迭代过程跳出局部极小点。对装置主电路和改进神经网络PID控制器进行仿真,结果表明:系统动态响应快,鲁棒性强,调节平滑,具有较好的控制效果。最后,制造并测试了额定电压660 V、容量400 k VA的实验样机,对理论研究进行了实验验证。展开更多
分析静止无功补偿器(Static Var Compensator,SVC)的补偿及控制原理,将模糊控制引入到SVC的PID控制系统,使之既具有模糊控制灵活、适应性强、快速性好的优点,又具有PID控制精度高的特点.仿真建模实验表明模糊PID控制方法在SVC的应用中...分析静止无功补偿器(Static Var Compensator,SVC)的补偿及控制原理,将模糊控制引入到SVC的PID控制系统,使之既具有模糊控制灵活、适应性强、快速性好的优点,又具有PID控制精度高的特点.仿真建模实验表明模糊PID控制方法在SVC的应用中可以明显加快调节电压的速度,加速系统电压稳定过程.展开更多
给出了一种基于改进型主导极点配置的自动电压调节器(automatic voltage regulator,AVR)励磁系统的PID控制器设计方法.首先将对AVR系统的时域指标转化为对主导极点的要求,引入前置滤波器后,运用根轨迹法将后续闭环主导极点配置在复平面...给出了一种基于改进型主导极点配置的自动电压调节器(automatic voltage regulator,AVR)励磁系统的PID控制器设计方法.首先将对AVR系统的时域指标转化为对主导极点的要求,引入前置滤波器后,运用根轨迹法将后续闭环主导极点配置在复平面期望区域之内,得到满足要求的KP值区间.以一定步长扫描该KP值区间,得到满足期望最大灵敏度指标的KP值子区间.在子区间中选取合适的KP值,利用所给出的解析表达式,得到PID控制器的另外两个参数和前置滤波器参数,实现对AVR系统的动态响应速度和超调量指标的折中处理.仿真结果表明,本方法得出了AVR系统的性能满足期望指标要求,可与典型智能进化算法得出的性能相媲美.展开更多
文摘A Simplified Grey Wolf Optimizer(SGWO)is suggested for resolving optimization tasks.The simplification in the original Grey Wolf Optimizer(GWO)method is introduced by ignoring the worst category wolves while giving priority to the better wolves during the search process.The advantage of the presented SGWO over GWO is a better solution taking less execution time and is demonstrated by taking unimodal,multimodal,and fixed dimension test functions.The results are also contrasted to the Gravitational Search Algorithm,the Particle Swarm Optimization,and the Sine Cosine Algorithm and this shows the superiority of the proposed SGWO technique.Practical application in a Distributed Power Generation System(DPGS)with energy storage is then considered by designing an Adaptive Fuzzy PID(AFPID)controller using the suggested SGWO method for frequency control.The DPGS contains renewable generation such as photovoltaic,wind,and storage elements such as battery and flywheel,in addition to plug-in electric vehicles.It is demonstrated that the SGWO method is superior to the GWO method in the optimal controller design task.It is also seen that SGWO based AFPID controller is highly efficacious in regulating the frequency compared to the standard PID controller.A sensitivity study is also performed to examine the impact of the unpredictability in the parameters of the investigated system on system performance.Finally,the novelty of the paper is demonstrated by comparing with the existing publications in an extensively used two-area test system.
文摘This paper presents the model of a static synchronous condenser （STATCOM） which is controlled externally by a newly designed power oscillation controller （POC） for the improvements of power system stability and damping effect of an on line power system. The proposed POC consists of two controllers （power oscillation damping ＆ proportional integral derivative PID ＆ POD）. PID parameters have been optimized by Zigler Necles close loop tuning method. Machine excitation has been controller by using excitation controller as required. Both single phase and three phase faults has been considered in the research. In this paper, a power system network is considered which is simulated in the phasor simulation method ＆ the network is simulated in three steps： without STATCOM, with STATCOM but no externally controlled, STATCOM with POC. Simulation result shows that without STATCOM, the system parameters become unstable during faults. When STATCOM is imposed in the network, then system parameters become stable. Again, when STATCOM is controlled externally by POC controllers, then system voltage ＆ power becomes stable in faster way then without controller It has been observed that the STATCOM ratings are only 20 MVA with controllers and 200 MVA without controllers. Therefore, STATCOM with POC controllers are more effective to enhance the voltage stability and increases power transmission capacity of a power system. So STATCOM with POC ＆ excitation controllers, the system performance is greatly enhanced.
文摘建立了交流稳压电源主电路数学模型并分析其闭环稳压控制原理。由于装置具有较强的非线性和变结构、变参数特性,采用经典PID控制器很难获得理想的控制效果。将人工神经网络与传统PID控制器相结合,构成一种不依赖于被控对象精确数学模型的神经网络PID控制器。为了提高神经网络的收敛速度,采用Levenberg-Marquardt算法计算连接权值更新量,并对当前解施加一个以一定概率保留的随机扰动,加快迭代过程跳出局部极小点。对装置主电路和改进神经网络PID控制器进行仿真,结果表明:系统动态响应快,鲁棒性强,调节平滑,具有较好的控制效果。最后,制造并测试了额定电压660 V、容量400 k VA的实验样机,对理论研究进行了实验验证。
文摘分析静止无功补偿器(Static Var Compensator,SVC)的补偿及控制原理,将模糊控制引入到SVC的PID控制系统,使之既具有模糊控制灵活、适应性强、快速性好的优点,又具有PID控制精度高的特点.仿真建模实验表明模糊PID控制方法在SVC的应用中可以明显加快调节电压的速度,加速系统电压稳定过程.
文摘给出了一种基于改进型主导极点配置的自动电压调节器(automatic voltage regulator,AVR)励磁系统的PID控制器设计方法.首先将对AVR系统的时域指标转化为对主导极点的要求,引入前置滤波器后,运用根轨迹法将后续闭环主导极点配置在复平面期望区域之内,得到满足要求的KP值区间.以一定步长扫描该KP值区间,得到满足期望最大灵敏度指标的KP值子区间.在子区间中选取合适的KP值,利用所给出的解析表达式,得到PID控制器的另外两个参数和前置滤波器参数,实现对AVR系统的动态响应速度和超调量指标的折中处理.仿真结果表明,本方法得出了AVR系统的性能满足期望指标要求,可与典型智能进化算法得出的性能相媲美.
