Optimization in Load Flow Analysis of Power System Interconnected System Using Sponge and Aloe Techniques
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 3
Abstract
The problem of electrical system optimization has become a decisive factor in the current electrical system engineering practice, which emphasis cost and power loss. In this research financial and electrical loss, dispatch problem has been addressed using three efficient adaptation methods, ant lion optimization (ALO), genetic algorithm (GA) and particle swarm optimization (PSO). The hybrid 3-generator testing system, 30-bus and 6 generator made from these three algorithms have been implemented on the IEEE Test System. The results are compared with the PSO, Genetic Algorithm (GA) and ALO, with respect to three and 6 generator testing systems. This analysis of the three techniques shows that the problem of ELD is the difficulty in its maximum load capacity, where these techniques have been shows analysis. PSO has been implemented to allocate active power between the generating stations that make up the system's deficiency and reduce the cost of electricity generated. ELD problem is resolved for IEEE 30 bus testing network with 6 generating units using modified particle swarm optimization (MPSO) method. The results using the PSO method are comparable to the genetic algorithm (GA).
Authors and Affiliations
Saiyadasad Ali Naqvi, Shuchi Shukla
Keywords
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- EP ID EP388734
- DOI 10.9790/1676-1303012742.
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