Operating at absolute minimum cost can no longer be the only criterion for dispatching electric power due to increasing concern the environmental consideration. The emission controlled economic dispatch (ECED) problem which accounts for minimization of both fuel cost and emission is a multiple objective function problem. This paper proposed the particle swarm optimisation (PSO) metaheuristic me...

For Multi-Objective Optimal Reactive Power Dispatch (MORPD), a new approach is proposed as a simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are obtained. Optimal settings of continuous and discrete control variables (e.g., generator voltages, tap positions of tap changing transformers and the number of...

In a practical power system, the power plants are not located at the same distance from the center of loads and their fuel costs are different. Also, under normal operating conditions, the generation capacity is more than the total load demand and losses. Thus, there are many options for scheduling generation. In an interconnected power system, the objective is to find the real and reactive pow...

–This paper proposes a fuzzy based procedure to solve the optimal reactive power dispatch (ORPD) problem. Comparison studies between two linear fuzzy models namely triangular and trapezoidal fuzzy models, to solve ORPD problem is carried out for control and dependent system constraints. The proposed fuzzy ORPD model handles fuzzy objectives and constraints to obtain the optimal operational sett...

This paper utilizes the improved group search optimization algorithm for optimal reactive power dispatch (ORPD). The ORPD problem is a non-linear, non-convex optimization problem which has various decision variables such as compensation capacitor proportions, voltage of generators and the tap position of tap changing transformers. In this paper the multi-objective ORPD considering loss, voltage...

dynamic economic load dispatch is one of the most important roles of power generation’s operation and control. it determines the optimal controls of production of generator units with predicted load demand over a certain period of time. economic dispatch at minimum production cost is one of the most important subjects in the power network’s operation, which is a complicated nonlinear constraine...

TIn this paper, a solution to reactive power dispatch problem with a novel particle swarm ToptimizationT approach based on multi-agent systems (MAPSO) is presented. The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MAPSO represents a particle to PSO and a candidate solution to the optimization problem. All agents live in a lattice-like e...

Particle swarm optimization (PSO) has received increasing attention in solving multi-objective economic dispatch (ED) problems in power systems because of parallel computation, faster convergence, and easier implementation. This paper presents a detailed overview of multi-objective particle swarm optimization (MOPSO) and provides a comprehensive survey on its applications in power system econom...