Abstract:
This paper presents Autonomous group Particle Swarm optimisation Algorithm(AGPSO), with dynamic weights, applied to scale back the important power loss during a system, up the voltage profile and thus enhancing the performance of power grid. Particle Swarm optimisation with elaborate study on weights for particle movements is employed. Management variables thought-about square measure Generator bus voltages, MVAR at electrical condenser banks, transformer tap settings and reactive power generation at generator buses. The best values of the management variables square measure obtained by determination the multi objective optimisation downside victimisation AGPSO rule programmed victimisation M writing in MATLAB platform. With the optimum setting for the management variables, Newton Rapson primarily based power flow is performed for two test systems, viz., IEEE 30 and IEEE 57 bus system . reduction of Real power loss ,improvement of voltage profile obtained and improvement in loadability margin area unit compared with the results obtained exploitation firefly,GRADE and Group Search Optimization(GSO) techniques.
