Development of Hybrid Compensators for Enhancing Power Quality in Electrical Distribution Systems Using Innovative Optimization Techniques

Abstract

A power quality (PQ) issue arises when voltage, current, or service interruptions fall below standards, causing equipment disruptions for end users. To streamline decisions regarding voltage and current, it is advisable to utilize custom power tools that are based on hardware controllers for optimal performance. Distribution Static Compensation (DSTATCOM) and Dynamic Voltage Restore (DVR) are highly effective solutions for addressing power quality challenges. A DVR adds voltage to the system with structural voltage, while DSTATCOM injects current to resolve power quality concerns. Acting as a shunt compensator, DSTATCOM can address problems like harmonics, current imbalance, and inrush currents. The Unified Power Quality Conditioner (UPQC) integrates DVR and DSTATCOM without using a standard DC interface. The comprehensive analysis underscores the effectiveness of each device as a viable solution for customized power needs. In distribution networks, power quality (PQ) issues include voltage sag, swell, harmonics, and power imbalances. To enhance voltage quality, we explored two control strategies: DSTATCOM and DVR. Randomly placing DSTATCOM and DG within the network is suboptimal. A bus with a low MBO is considered weak. DSTATCOM and DG can be utilized to optimize voltage profiles, reduce imbalances, and minimize line losses. A PI controller identifies errors between variables and desired set points. A fuzzy logic controller evaluates data sources continuously, dealing with vague informational signals, which can be challenging for simple control signals involving a controlled PWM inverter. This research introduces Monarch Butterfly Optimization (MBO) and Grey Wolf Optimization (GWO) algorithms for controlling three-phase, two-stage DSTATCOM and DVR systems.