Optimal Placement and Sizing of Distributed Generation Using Metaheuristic Algorithm

Power loss and voltage uncertainty are the major issues prevalently faced in design of distribution systems. But such can be resolved through effective usage networking reconfiguration that has a combination Distributed Generation (DG) units from networks. In this point view, optimal placement sizing DGs ways to boost performance power The optimum allocation resolves various problems namely, loss, profile improvement, enhanced reliability, system stability, performance. Several research works have been conducted address terms energy profile, stability depending upon DG distribution. With motivation, current study designs Chaotic Artificial Flora Optimization based on Optimal Placement Sizing (CAFO-OPSDG) enhance profiles mitigate loss. Besides, CAFO algorithm is derived incorporation chaos theory concept into conventional artificial flora optimization AFO with an aim global abilities. fitness function CAFO-OPSDG involves regulation, minimization, penalty cost. To consider actual scenario, factor acts as important element not only minimize total but increase well. experimental validation was against IEEE 33 Bus 69 system. outcomes were examined under test scenarios. results experiment established presented model reducing deviation boost-up for specified