Abstract
This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system.
Highlights
Distribute generation (DG) is a generation of electricity that normally located at the distribution network
With fast infiltration of DG into distribution systems, it is basic to evaluate its effects to power system precisely so that these DG units be connected in a way that avoid degradation of power quality, flexibility in control of the utility system and increase reliability
This paper focuses on determining the optimal location and size of multiple distributed generations (MDGs) using Integrated Monte Carlo-Evolutionary Programming (IMC-evolutionary programming (EP))
Summary
Distribute generation (DG) is a generation of electricity that normally located at the distribution network. This DG acts as auxiliary power sources, which associated to the grid at different places and basically satisfy the load demand that is required [1,2,3]. Again, DG can possibly enhance distribution system performance and it ought to be encouraged [9,10,11,12,13,14] In this way, it has turned out to be critical to study changes that DG acquires with a change its area or size of DG
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