Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system

Nur Ainna Shakinah Abas (Universiti Teknologi Mara)
Ismail Musirin (Universiti Teknologi Mara)
Shahrizal Jelani (UCSI University)
Mohd Helmi Mansor (Universiti Tenaga Nasional)
Naeem M. S. Honnoon (Universiti Tenaga Nasional)
Muhammad Murtadha Othman (Universiti Tenaga Nasional)

Bulletin of Electrical Engineering and Informatics
Vol 8, No 3: September 2019

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.