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An intelligent sensor-less supervisory power management control algorithm with a fuzzy logic voltage controller for off-grid wind systems

机译：带有离网风力系统的带有模糊逻辑电压控制器的智能无传感器监控电源管理控制算法

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Conventional power management schemes for standalone wind systems typically use maximum power point tracking (MPPT) methods to extract maximum power from the wind even when the energy storage has reached its capacity. By doing so, the dummy load suffers from unnecessary stress when the load and energy storage element cannot absorb the excess power. This paper proposes an intelligent sensor-less fuzzy-logic based power management supervisory control scheme that autonomously transitions between an adaptive MPPT control mode and a power limiting control mode to regulate the wind turbine energy extraction. The proposed power management scheme is intended for off-grid applications such as remote telecom base stations. The adaptive MPPT and power regulator (PR) algorithms use a derived pseudo tip speed ratio (pTSR) parameter that correlates the measured power and the output voltage of the rectifier to the system's tip speed ratio (TSR). To enable the algorithm to effectively adapt to the wind system despite parameter shifts due to machine aging, a fuzzy-logic controller is used to drive the system to the voltage references generated by the MPPT and PR algorithms. The operating principles of the proposed control technique will be provided in this paper. Performance results for the proposed algorithm are provided in this paper for a 2kW wind system to highlight the merits of the control algorithm.
机译：独立风系统的常规电源管理方案通常使用最大功率点跟踪（MPPT）方法从风中提取最大功率，即使能量存储已达到其容量。通过这样做，当负载和能量存储元件不能吸收多余的功率时，虚拟负载遭受不必要的应力。本文提出了一种基于智能无传感器的模糊逻辑电力管理监督控制方案，该方案可在自适应MPPT控制模式和功率限制控制模式之间自动过渡，以调节风力发电机的能量提取。拟议的电源管理方案旨在用于离网应用，例如远程电信基站。自适应MPPT和功率调节器（PR）算法使用派生的伪尖端速度比（pTSR）参数，该参数将测得的功率和整流器的输出电压与系统的尖端速度比（TSR）相关联。为了使算法能够有效地适应风力系统，即使由于机器老化而导致参数漂移，也可以使用模糊逻辑控制器将系统驱动到MPPT和PR算法生成的参考电压。本文将提供所提出的控制技术的工作原理。本文针对2kW风力系统提供了该算法的性能结果，以突出控制算法的优点。

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