An Efficient PV - Integrated UPQC System for Power Quality Enhancement Using Improved Chicken Swarm Optimization

Abstract

In today’s world, the power distribution system's problems with Power Quality (PQ) are not unfamiliar. However, customer awareness of these issues has also risen. Likewise, there are many conventional solutions to improve the power quality. However, these traditional solutions rely on passive elements and frequently fail to respond effectively as the nature of the power system changes. Custom power devices provide adaptable solutions for many issues. Therefore, a Unified Power Quality Conditioner (UPQC) Coupled with a PV system is proposed in this paper to improve the PQ problems, including fluctuations, voltage sag and swell etc. The deployment of an Interleaved Zeta converter aids in maintaining the constant DC link voltage. In order to derive the maximum desirable power from PV system, STATCOM with Adaptive Neuro- Fuzzy Interference System (ANFIS) is used, which is fine-tuned with the help of the Improved Chicken Swarm (ICS) algorithm. In addition, UPQC with series and shunt converter is employed to decrease the current and voltage harmonics, thereby enhancing the power factor. For controlling the working of UPQC, the d-q theory-based Proportional Integral (PI) is proposed. The suggested design of PV-UPQC is evaluated and the simulation results are obtained in the MATLAB platform with a reduced THD of 2.01%.

Optimal Location and Size of Solar photovoltaic Generator to Improve the Stability of Iraqi National Super Grid Power System

“…𝑇𝑜𝑡𝑎𝑙 𝑑𝑒𝑚𝑎𝑛𝑑 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛 (𝑀𝑊) (6) Numerous studies have been examined in order to estimate the maximum allowable solar PV system penetration (hosting capacity), which will ensure the correct operation of the grid. The grid remains largely unaffected when SPVG penetration falls below 15% of total generation or maximum capacity, as agreed upon by the majority of researchers [13][14][15][16][17][18].…”

“…The PV model SPVG is connected to the load buses (3,5,7,9,10,11,12,13,15,16,17,18,19,20,21,22,23,24) on a perbus basis. It monitors the ratio of total active power losses to total active power generation and designates the location with the smallest value of losses as the optimal one.…”

TLBO-trained ANN-based Shunt Active Power Filter for Mitigation of Current Harmonics

“…When compared to the reference voltage, the value of the voltage that is measured across the DC link capacitor is found to be different (Diab et al, 2019;Diab et al, 2018;Wen-guan Wang et al, 2012;Vadi et al, 2021) which leads to the dysfunction of the system. The reduction of the real power disturbance by using different controllers including chicken swarm optimization (Ramesh et al, 2023;Venkata and Reddy, 2023) at the DC link capacitor.…”