Artificial Intelligence Techniques for Multi objective Optimum Power Flow with Valve Point Loading Incorporating SVC
نویسندگان
چکیده
Multi Objective Optimal Power Flow including FACTS technology is one of the most important issues in power system planning and control. In this paper Artificial Intelligence techniques are used to solve the Multi Objective Optimum Power Flow incorporating FACTS devices with valve point effect. In this paper two objectives loss minimization and minimum voltage deviation are taken into consideration. In proposed algorithm parameters of FACTS can be adjusted according the voltage of generating units and load. This study is implemented on IEEE 5 bus system, 24 bus system and 118 bus system; results are compared with artificial intelligence techniques. Simulation results show the capabilities of different artificial intelligence techniques to solve the multi objective optimum power flow. Keywords— Artificial Intelligence (AI), Optimal Power Flow (OPF), Flexible AC Transmission systems (FACTS), Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Static Voltage Compensator (SVC)
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