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Optimal Variable Structure Self Regulating PSO-Controller for Stand-Alone Wave Energy Conversion Scheme

机译:独立波能量转换方案的最优可变结构自调节PSO控制器

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The paper presents a novel stabilization controller scheme system for a Wave Energy Converter (WEC). The proposed controller of WEC-Battery renewable energy system is based on Multi Objective Particle Swarm Optimization MOPSO technique. The optimization algorithm is implemented to control a novel low cost dynamic AC side filter/capacitor compensation scheme. The novel Dynamic Modulated Filter Capacitor Compensation scheme (MPFC) serves as an AC side voltage stabilization regulator and wave energy utilization enhancement. The objective is to extract available power from the wave energy system (WES) and transfer this power efficiency to the local isolated DC side electric load. The performance and dynamic characteristics of the controllers to any load nonlinear J, B parameters and load torque excursions is examined for PMDC Motor Drives. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the two Dynamic filter compensator schemes. Multi Objective Optimization MOPSO technique is used to find the dynamic optimal control settings of the control signal to the PWM activation/ triggering block that dynamically minimizes the global dynamic error for all components, three SPWM, switched filters and motor.
机译:本文提出了一种用于波能量转换器(WEC)的新型稳定控制器方案系统。所提出的WEC电池可再生能源系统控制器基于多目标粒子群优化MOPSO技术。实现优化算法以控制新颖的低成本动态AC侧滤波器/电容补偿方案。新型动态调制滤波电容补偿方案(MPFC)用作AC侧电压稳定调节器和波能量利用增强。目的是从波能量系统(WES)中提取可用功率,并将该功率效率转移到本地隔离的直流侧电负载。检查PMDC电动机驱动器的控制器对任何负载非线性J,B参数和负载扭矩偏移的性能和动态特性。三环误差驱动动态控制器用于调整两个动态滤波器补偿器方案的PWM切换。多目标优化MOPSO技术用于查找控制信号的动态最佳控制设置到PWM激活/触发块,动态地最小化所有组件,三个SPWM,开关滤波器和电机的全局动态误差。

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