UPQC With Fuzzy Controlled Based Wind Farm To Weak-Grid Connection For Power Quality Improvement

Abstract

Wind energy producing facilities are often located based on the presence of wind resources, resulting in their construction in remote places that are far from high voltage power transmission lines and large consumption centers. Wind farms that use squirrel cage induction generators (SCIG) directly linked to the power grid constitute a substantial proportion of wind energy conversion systems worldwide. However, in situations when wind farms are linked via medium voltage (MV) distribution lines because of controlled electricity output, a prevalent problem occurs called Wind Farm to Weak Grid Connection. This scenario is characterized by power production that is similar to the capacity of the grid for transportation, leading to inadequate control of voltage at the point where the grid is connected (PCC). This work presents a new compensation method that utilizes the Unified Power Quality Compensator (UPQC) with a unique internal control system based on fuzzy logic controllers. The aim is to tackle the difficulties related to connecting Wind Farms to weak grids. The UPQC, which is a Custom Power System (CUPS) device, presents a possible alternative for improving power quality in such situations. The suggested compensation technique entails the use of the UPQC series converter to regulate voltage at the WF terminals, while using the shunt converter to filter power provided by the WF and reduce voltage swings at the grid side. The internal control approach prioritizes the regulation of active and reactive power in converters and the transfer of power between them via the UPQC DC-Link. The suggested technique differs from traditional tactics by using both reactive power and DC-bus energy storage to optimize compensating capabilities. Additionally, it involves active power sharing amongst UPQC converters. The efficacy of the fuzzy logic improved UPQC compensating technique in enhancing both Power Quality and Wind Farm stability is proven via meticulous simulations.