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Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization

Suresh Vishnu, Janik Przemyslaw, Jasinski Michal

Archives of Electrical Engineering

2020

Vol. 69, nr 2

335--348

This paper presents the application of an improved ant colony optimization algorithm called mixed integer distributed ant colony optimization to optimize the power flow solution in power grids. The results provided indicate an improvement in the reduction of operational costs in comparison with other optimization algorithms used in optimal power flow studies. The application was realized to optimize power flow in the IEEE 30 and the IEEE 57 bus test cases with the objective of operational cost minimization. The optimal power flow problem described is a non-linear, non-convex, complex and heavily constrained problem.

Comparison of solvers performance for load flow analysis

Suresh Vishnu

Transactions on Environment and Electrical Engineering

2019

Vol. 3, No. 1

26--32

Load flow studies are carried out in order to find a steady state solution of a power system network. It is done to continuously monitor the system and decide upon future expansion of the system. The parameters of the system monitored are voltage magnitude, voltage angle, active and reactive power. This paper presents techniques used in order to obtain such parameters for a standard IEEE – 30 bus and IEEE-57 bus network and makes a comparison into the differences with regard to computational time and effectiveness of each solver.