Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

The fundamental objective of economic load dispatch is to operate the available generating
units such that the needed load demand satisfies the lowest generation cost and also …

This paper investigates the operation of a hybrid power system through a novel fuzzy control
scheme. The hybrid power system employs various autonomous generation systems like …

We propose a novel hybrid algorithm named PSO-DE, which integrates particle swarm
optimization (PSO) with differential evolution (DE) to solve constrained numerical and …

Power System SCADA and Smart Grids brings together in one concise volume the
fundamentals and possible application functions of power system supervisory control and …

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that
shares many similarities with evolutionary computation techniques. However, the PSO is …

Abstract Economic Load Dispatch (ELD) is the process of allocating the required load
between the available generation units such that the cost of operation is minimized. The …

This paper presents an improved non-dominated sorting genetic algorithm II (NSGA-II)
approach incorporating a parameter-free self-tuning by reinforcement learning technique …