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This paper presents both application and comparison of the metaheuristic techniques to Generation Expansion Planning (GEP) problem. The Metaheuristic techniques such as the Genetic Algorithm, Differential Evolution, Evolutionary Programming, Evolutionary Strategy, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Simulated Annealing, and Hybrid Approach are applied to solve GEP problem. The original GEP problem is modified using the proposed methods Virtual Mapping Procedure (VMP) and Penalty Factor Approach (PFA), to improve the efficiency of the metaheuristic techniques. Further, Intelligent Initial Population Generation (IIPG), is introduced in the solution techniques to reduce the computational time. The VMP, PFA, and IIPG are used in solving all the three test systems. The GEP problem considered synthetic test systems for 6-year, 14-year, and 24-year planning horizon having five types of candidate units. The results obtained by all these proposed techniques are compared and validated against conventional Dynamic Programming and the effectiveness of each proposed methods has also been illustrated in detail.

This paper presents the application of Particle Swarm Optimization (PSO) technique to find optimal location of Flexible AC Transmission System (FACTS) devices to achieve maximum system loadability with minimum cost of installation of FACTS devices. While finding the optimal location, thermal limit for the lines and voltage limit for the buses are taken as constraints. Three types of FACTS devices, Thyristor Controlled Series Compensator (TCSC), Static VAR Compensator (SVC), and Unified Power Flow Controller (UPFC) are considered. The optimizations are performed on four parameters namely the location of FACTS devices, their setting, their type, and installation cost of FACTS devices. Two cases namely, single type devices (same type of FACTS devices) and multi type devices (combination of TCSC, SVC, and UPFC) are considered. Simulations are performed on IEEE 6 and 30 bus systems for optimal location of FACTS devices and the results obtained are encouraging and will be useful in electrical restructuring.

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