firefly algorithm based on fuzzy mechanism for optimal congestion management

this paper presents optimal congestion management in an electricity market using firefly algorithm (fa) and fuzzy mechanism. the fa is a meta-heuristic, nature-inspired, optimization algorithm which is based on the social (flashing) behavior of fireflies, or lighting bugs, in the summer sky in the tropical temperature regions. transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. they also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. this paper focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. the effectiveness of the proposed technique is applied on 30 and 118 bus ieee standard power system in comparison with cpso, pso-tvac and pso-tviw. the numerical results demonstrate that the proposed technique is better and superior than other compared methods.