Novel Harmonic Prediction and Power Quality Improvementusing Intelligent Hybrid Strategies for Grid Coordinated System

Abstract

In recent times, the power demand has been increased worldwide due to industrialization and urbanization using Plug-in Hybrid Electric Vehicles (PHEVs). To improve Harmonic Distortion, a Hybrid Solar and Small Hydro (HSSH) based hybrid form of the renewable energy system has been developed. However, the high penetration of varying nonlinear PHEVs loads on the grid system can impact the system's performance in terms of power loss, voltage fluctuations, power quality, and harmonic distortion. In this article, Kalman Decoupled Harmonic Power Flow (KDHPF) technique is proposed primarily to calculate the harmonic current in the grid system. Consequently, the Bessel Filter Sallen Key (BFSK) and Multiobjective Firefly Algorithm (MOFA) are projected to control the bidirectional converter's voltage and current to improve the quality of power in the coordinated grid system. The power loss, error rate, and Total Harmonic Distortion (THD) have been optimized by the MOFA optimization method. The implementation of this work is done in the MATLAB/Simulink platform. Moreover, the observed simulation results are compared with various existing techniques for validating the efficiency of the proposed method in terms of reduced 3.5% of THD and 0.000142 MW of power loss. The consequences proved that the projected grid coordinated system had achieved the finest performance under diverse cases.

A deep dive into enhancing frequency stability in integrated photovoltaic power grids

“…These provisions allow power generation facilities to adapt to a spectrum of operating conditions [1], ensuring that electricity generation units remain connected to the grid during significant frequency deviations from the nominal value, thereby safeguarding system stability and safety. Frequency stability analysis is a key part of understanding and reducing these changes, which helps power systems work at their best [21], [22]. It involves comprehensively examining grid frequency dynamics and the contributing factors to their variations [23]- [26].…”