Improved Real-Coded Genetic Algorithm for Reactive Power Dispatch

The present article establishes and suggested improved real-coded genetic algorithm (IRCGA) to solve various types of reactive power dispatch problems. The cornerstone of the primary human heritable chromosome operation is the Genetic algorithm (GA) which is a large number of evolutionary algorithms. GA has the capability to reach the global optimal solutions. Here IRCGA is introduced to improve the quality of the solution and raise the speed of convergence. The advanced IRCGA has been utilized to manage variables settings like generator terminal voltages, transformer taps and reactive power output of shunt VAR compensators to obtain minimum active power transmission loss, improved voltage profile, and voltage stability. IRCGA has been experimented on IEEE 30-bus, 57-bus and 118-bus test systems and 15 benchmark functions. The results obtained from the different test systems have been compared with other defined evolutionary methods and observed that the developed IRCGA gives better result.

Automated summary

This article proposes an improved real-coded genetic algorithm (IRCGA) to solve reactive power dispatch problems, achieving optimal power transmission loss, improved voltage profile, and voltage stability through managing variables such as generator voltages, transformer taps, and reactive power compensators' output.