Banks of automatic capacitors in electrical distribution systems: a hibrid algorithm of control

Abstract

A microgenetic algorithm (MGA) in conjunction with fuzzy logic (FL) is proposed for solving the capacitor placement problem. The objective function includes economic savings obtained by energy loss reduction and peak power loss reduction in contrast with acquisition and installation costs of fixed and switched capacitors. Voltage constraints are considered. A simple and efficient method for load flow solution is used, with acceptable CPU time, even for very extensive distribution systems under full load. An approximate load-duration curve divided in different load levels is used to compute energy losses. A 104-bus test system is presented and the results are compared to the solution given by another search technique. This comparison confirms the efficiency of the proposed method which makes it promising to solve complex problems of capacitor placement in distribution feeders.

Design and development of a software for fault diagnosis in radial distribution networks

“…The software was applied to the primary feeder of 103 buses, the data line and load are found in [16]. The software Alternative Transient Program (ATP) was used to simulate single-phase short-circuit (AG, BG, CG), biphasic shortcircuit (AB, BC, CA), phase-phase-ground short-circuit (AB-G, BC-G, AC-G) and triphasic short-circuit in several buses along the feeder.…”

Allocation of capacitor banks in distribution systems through a modified monkey search optimization technique

“…Tabu search [10], simulated annealing [11], artificial ant colonies [12], [13], particle swarms [14], honey bee colony algorithm [15,16], gravitational search algorithm [17], artificial neural networks [18] and fuzzy logic [19,20] have also been investigated for capacitor allocation in EDS. The compromise between the quality of solutions and the processing times, and the development of simple algorithms are challenges for these types of methods.…”

Uma Meta-heurística Híbrida para Alocação Ótima de Bancos de Capacitores no Sistema de Distribuição de Energia Elétrica

“…Dentre esses se destacam os baseados em linguagem de inteligência artificial devidoà grande facilidade de se ajustarem ao problema de compensação reativa. Como exemplo se tem os trabalhos de [3] que utiliza simulated annealing, em [4]é utilizado lógica fuzzy, em [5]é utilizado algoritmo genético, [6] utiliza ant colony, [7] utiliza sistemas imunológicos artificiais, entre outros.…”