london-journal-of-engineering-research London Journal of Engineering Research 2631-8474 2631-8482 JournalsPress 64838 Microgrid Optimum Identification Location using Standard and Accelerated Particle Swarm Optimization Techniques 19 2 34 42

In recent years, a Microgrid has become important and commonly use. A microgrid is localized of electricity sources and loads that connect to centralized electrical power network when the need arises and disconnect to island mode. In this case, a microgrid can effectively integrate various sources of distribution generator, that can supply improving the level of voltage on the transmission line by reducing the real power losses in line and providing emergency power, also improving the voltage level at the consumer end. Accelerated Particle Swarm Optimization technique was applied in this paper, it is a modern technique appeared for optimization ,  and was compared with standard Particle Swarm Optimization technique to perform the optimization operation of power flow in transmission line by selection the optimum location of microgrid installed in power network considering minimum power losses with optimal operation consideration the no. of iteration, execution time of program and capacity. The results of simulation obtained for optimization the nonlinear objective functions using MATLAB program designate that APSO accomplishes roughly developments in terms of computation time and best fitness.

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In recent years, a Microgrid has become important and commonly use. A microgrid is localized of electricity sources and loads that connect to centralized electrical power network when the need arises and disconnect to island mode. In this case, a microgrid can effectively integrate various sources of distribution generator, that can supply improving the level of voltage on the transmission line by reducing the real power losses in line and providing emergency power, also improving the voltage level at the consumer end. Accelerated Particle Swarm Optimization technique was applied in this paper, it is a modern technique appeared for optimization ,  and was compared with standard Particle Swarm Optimization technique to perform the optimization operation of power flow in transmission line by selection the optimum location of microgrid installed in power network considering minimum power losses with optimal operation consideration the no. of iteration, execution time of program and capacity. The results of simulation obtained for optimization the nonlinear objective functions using MATLAB program designate that APSO accomplishes roughly developments in terms of computation time and best fitness.