Optimal Placement and Sizing of Distributed Generations for Power Losses Minimization Using PSO-Based Deep Learning Techniques

Abstract

The integration of distributed generations (DGs) into distribution systems (DSs) is increasingly becoming a solution for compensating for isolated local energy systems (ILESs). Additionally, distributed generations are used for self-consumption with excess energy injected into centralized grids (CGs). However, the improper sizing of renewable energy systems (RESs) exposes the entire system to power losses. This work presents an optimization of a system consisting of distributed generations. Firstly, PSO algorithms evaluate the size of the entire system on the IEEE bus 14 test standard. Secondly, the size of the system is allocated using improved Particles Swarm Optimization (IPSO). The convergence speed of the objective function enables a conjecture to be made about the robustness of the proposed system. The power and voltage profile on the IEEE 14-bus standard displays a decrease in power losses and an appropriate response to energy demands (EDs), validating the proposed method.

Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters

“…The position of these particles is randomly generated according to Eq (9). The parameters and constraints are given by Eqs (11) and (12). For: X m , the position, V i , velocity, Pbest best position and C 1 and C 2…”

“…The most widely used test is the IEEE Standard [ 11 ], which evaluates the allocation and sizing of distributed generations. In this article, the proposed system is implemented and modeled in Matlab/Simulink.…”

Enhancing Power Transmission Efficiency Using Static Synchronous Series Compensators: A Comprehensive Review

“…[ [39][40][41][42][43][44][45][46][47] • Minimization of transmission line loss. • The enhancement of transmittable power.…”