USING AN IMPERIALIST COMPETITIVE ALGORITHM TO RECONFIGURE DISTRIBUTION SYSTEMS FOR INCREASED RELIABILITY AND DECREASED POWER LOSSES

Abstract

There are several conceivable combinations of radial and loop feeders in distribution systems, which allows for numerous layouts to be run. Power losses and dependability in delivering electric energy to consumers are affected differently by each arrangement. The reconfiguration of electricity networks is approached as a multi-objective optimisation problem with various network operational constraints and goal functions in order to get the ideal configuration. Optimal network reconfiguration is suggested in this paper using a multi-objective framework that minimises power losses, SAIDI, AENS, and ASUI, the System Average Interruption Frequency Index and Standard Average Interruption Duration Index, respectively. One of the most up-to-date heuristic techniques, the Imperialist Competitive Algorithm (ICA), solves the optimisation issue. In this case, we use fuzzy membership to scale all objective functions to the same value, and then we use fuzzy fitness to find out how satisfied we are with the provided solution. The effectiveness of the suggested approach is validated by its testing on distribution test systems of 32 and 69 buses, respectively. In comparison to earlier techniques, the suggested one has a higher convergence rate and exhibits enhanced exploration capabilities, according to the simulation findings.