A Review of E erging Techniques on Generation Expansion Planning

Generation expansion planning is a challenging problem due to its large-scale, long-term, non-linear, and discrete nature of generation unit size. Since the computation revolution, there are several emerging techniques proposed to solve large scale optimization problem. Many of these techniques have been reported to use in generation expansion planning. This paper will describe these emerging optimization techniques, including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, decomposition method, simulated annealing, and genetic algorithm and their potential usage in solving the challenging generation expansion planning in future competitive environments in power industry. This paper provides usefd information and resources for future Generation Expansion Planning. Keyword: Generation Expansion Planning (GEP), Expert Systems (ES), Fuzzy Set Theory and Fuzzy Logic (FL), Artificial Neural Networks (ANN), Analytic Hierarchy Process (AHP), Network Flow (NF), Decomposition Methods, Simulated Annealing (SA), Genetic Algorithm