Abstract
This paper presents symbiotic organisms search (SOS) algorithm for solving bid based economic load dispatch (BBELD) problem in deregulated electricity market. Power generating companies and customers submit their bids to the Independent System Operator. Independent System Operator matches the bids and conduct dispatch depending on the price and MW bidding to maximize the social profit. SOS algorithm minimizes the generator cost while satisfying various load demands, so that the social profit which is the difference between all customers benefit and all generators cost, increases. The IEEE-30 bus system has taken with six generators, two customers and two dispatch periods under low, medium and high bidding strategies. The results of SOS are compared with differential evolution (DE) and particle swarm optimization (PSO) results and social profit obtained by SOS is found to be better than DE and PSO which shows the effectiveness of SOS for solving BBELD problem.
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