Optimized Control of an Isolated Wind Energy Conversion System

The proposed system utilizes anIsolated wind energy conversion system admittanceAdmittance-based algorithmAlgorithms to estimate reference currentReference current values for an off-gridGrid wind energy conversion systemWind energy conversion system (WECS). This system’s controllerController is designed to manage voltageVoltage and maintain frequencyFrequency levels within specified limits when dealing with both linearLinear and nonlinearNonlinear loadsLoad, accommodating varying wind speedsSpeed effectively. The simplicity and ease of implementation of the admittanceAdmittance algorithmAlgorithms make it efficient in generating triggering signals for the controllerController used in the WECS. The wind powerPower harnessingHarnessing unit comprises several key components: a squirrel cageCage induction generatorInduction generators, a star-delta transformerTransformer, a battery storage systemBattery storage system, and a control unit. These components are modeled using the MATLABMATLAB/Simulink. An isolated transformerTransformer, configured in a star-delta arrangement, connects the loadLoad and the generator circuit to the controllerController. This setup reduces the DC bus voltageVoltage and mitigates currentCurrent in the neutralNeutral line. The dynamic responseDynamic response of the system under varying loadsLoad depends on finding the optimalOptimal proportional-integral (PI) gains for compensators. To achieve this, the antlion optimizationAntlion optimization technique (ALO) is employed. This algorithmAlgorithms has been empirically demonstrated to offer rapid responseResponse timeTime, the ability to maintain the required frequencyFrequency, suppression of current harmonicsCurrent harmonics, voltageVoltage regulation, loadLoad balancingBalancing, and compensation for neutralNeutral currentsCurrent.