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چکیده
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Transmission Expansion Planning (TEP) is one of the major components of the electric power industry. In deregulated power systems, transmission systems provide the required environment for the competition among the power market participants. In this paper a mathematical model and a dynamic transmission expansion methodology is presented using an optimization framework. Investment cost, reliability (both adequacy and security), and congestion cost are considered in this optimization. To overcome the difficulties in solving the non-convex and mixed integer nature of the optimization problems, this paper offers an improved harmony search algorithm (HSA) to solve this problem. HSA was imagined using the musical process of searching for a perfect state of harmony, similar to the optimization process looks for finding a global solution that is determined by an objective function. HSA can be used to optimize a non-convex optimization problem with both continuous and discrete variables. In this paper it is shown that HSA, like other heuristic optimization algorithms, can solve the problem in a better manner compare with other methods such genetic algorithm (GA). The proposed model is applied to the IEEE 24-bus and IEEE 118-bus test systems. The obtained results show the feasibility and capability of the proposed algorithm. A comprehensive analysis of the GA methodology with the proposed method is also presented.
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