Metaheuristic Optimization in Power Engineering

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, which can provide a sufficiently good solution to an optimization problem with incomplete or imperfect information. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation, are an important application for such methods.

This book describes the principles of solving various problems in power engineering via the application of selected metaheuristic optimization methods including genetic algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation
optimal power flow in transmission networks
optimal reactive power dispatch in transmission networks
combined economic and emission dispatch
optimal power flow in distribution networks
optimal volt/var control in distribution networks
optimal placement and sizing of distributed generation in distribution networks
optimal energy and operation management of microgrids
optimal coordination of directional overcurrent relays
and steady-state analysis of self-excited induction generators.

This book is ideal for researchers in areas of power system analysis and power system optimization. It is also highly suited for advanced students of electrical engineering and power engineering
power system engineers.