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Applied TVA-PSO for optimal energy efficient integration of renewable energy sources based maximizing TEC levels

Lasmari Adel, Zellagui Mohamed

Journal of Power Technologies

2023

Vol. 103, nr 2

123--137

After the rapid increase in the population demography and industrial revolution, many researchers focus on maintaining the balance between the consumption and the production; in this regard, decentralized production plays an important role to achieve this balance, because of its technical economic aspect such as power losses reduction and voltage profile improvement. These advantages can better exploited through the optimal assessment of Distributed Generation (DG). This paper is interested in the study of the optimal location and size of one and multiple DG based on photovoltaic solar sources PV-DG in Radial Distribution Network (RDN) using the Time Varying Acceleration Particle Swarm Optimization Algorithm (TVA-PSO). This algorithm implemented to maximize the Multi-Objective Functions (MOF) based on the Environmental Pollution Reduction Level (EPRL), the Voltage Deviation Level (VDL), Active Power Loss Level (APLL), the Net Saving Level (NSL), and finally the Short Circuit Level (SCL). The proposed method is tested on the standard IEEE 33-, 69-and 118-bus RDN. Outcomes proves that the proposed TVA-PSO is more efficient to solve the optimal allocation of multiple DGs with high convergence rate and minimum power loss reduction.

Technical-economic indices for optimal integration of photovoltaic distributed generation units using hybrid PSO-WOA technique

Settoul Samir, Zellagui Mohamed, Chenni Rachid, Belbachir Nasreddine

Journal of Power Technologies

2022

Vol. 102, nr 1

25--36

This paper proposes to hybridize the Whale Optimizer (WOA) and Particle Swarm Optimization (PSO) algorithms to achieve optimal integration of Distributed Generator (DG) based photovoltaic sources in the search for optimal allocation. Optimal integration reduces the Active Power Loss (APL) index and enhances the Total Voltage Variation (TVV) index and the Total Operating Cost (TOC) index. The proposed hybrid PSO-WOA algorithm is validated on standard IEEE 33-bus and 69-bus Electrical Distribution Systems (EDS). Numerical and graphical comparative studies were conducted to benchmark the hybrid approach results against those obtained using other powerful algorithms and techniques existing in the literature. Active and reactive branch currents are calculated and plotted to show how the DG affects current flows in the EDS. To make the results more realistic, linear load level variation is considered, with the loads varying from 60% to 120% of the rated loading level.