Analysis and Comparison of Economic Power Dispatch by GA and PSO

Book is written on the basis of power system under the title "Analysis and Comparison of Economic Power Dispatch by Genetic Algorithm and Particle Swarm Optimization". The major objective for this system is to minimize fuel cost without violating system security constraints such as power output of generator, bus voltages, shunt capacitors/reactors and transformers tap setting. To achieve this, initially, IEEE-6 and IEEE-30 bus systems are tested for conventional OPF solution. Further the solution is carried out by Genatical Algorithm also. The work reported in this work is carried out to make use of particle swarm optimization method for solving the optimal power flow (OPF) problem for units of the same systems. The optimal power flow (OPF) is being used to find the optimal setting to operate the system. When operating cost is minimized, the generator schedule is calculated by OPF. Traditionally, the cost function of each generator is represented by a simple quadratic function. However thermal units are sometimes made to run on multiple fuels like coal, natural gas and oil. The objective function in the OPF problem has been decided as minimization of total cost.

Autorentext

K. J. Bhayani has completed his ME (Electrical Power System) from Birla Vishwakarma Mahavidyalaya, Vallabh Vidhyanagar. He has 7 years of teaching experience. His areas of interest are power system, protection, digital signal processing.

Klappentext

Book is written on the basis of power system under the title Analysis and Comparison of Economic Power Dispatch by Genetic Algorithm and Particle Swarm Optimization . The major objective for this system is to minimize fuel cost without violating system security constraints such as power output of generator, bus voltages, shunt capacitors/reactors and transformers tap setting. To achieve this, initially, IEEE-6 and IEEE-30 bus systems are tested for conventional OPF solution. Further the solution is carried out by Genatical Algorithm also. The work reported in this work is carried out to make use of particle swarm optimization method for solving the optimal power flow (OPF) problem for units of the same systems. The optimal power flow (OPF) is being used to find the optimal setting to operate the system. When operating cost is minimized, the generator schedule is calculated by OPF. Traditionally, the cost function of each generator is represented by a simple quadratic function. However thermal units are sometimes made to run on multiple fuels like coal, natural gas and oil. The objective function in the OPF problem has been decided as minimization of total cost.