Reactive power plays an important role in supporting the real power transfers by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as...

In this paper particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units. Combined Economic emission Dispatch Problem (CEEDP is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the syste...

This paper presents the solution of economic power dispatch (EPD) through the application of genetic algorithm (GA) and the taguchi method. The economic power dispatch is a non-linear optimisation problem with several constraints. The objective of the proposed genetic algorithm combined taguchi method is to choose the most efficient combination of Pc (crossover probability), Pm (mutation probab...

This paper presents a solution of the economic load dispatch (ELD) problem with security constraints of power systems, using an iterative technique based on the linear programming method, called “Successive Linear Programming” (SLP). The objective is to minimize the nonlinear function which is the total fuel cost of thermal generating units, while taking into account the security constraints (p...

Abstract: With the growing influence of fog and haze (F-H) weather and the rapid development of distributed energy resources (DERs) and smart grids, the concept of the virtual power plant (VPP) employed in this study would help to solve the dispatch problem caused by multiple DERs connected to the power grid. The effects of F-H weather on photovoltaic output forecast, load forecast and power sy...

This paper deals with particle swarm optimization (PSO) method to solve Combined Economic emission Dispatch Problem (CEEDP) of thermal units while satisfying the constraints such as generator capacity limits, power balance and line flow limits. PSO is a stochastic optimization process based on the movement and intelligence of swarms. The objective is to minimize the total fuel cost of generatio...

For the microgrids to operate securely, distributed generators must be able interact with one another without experiencing any communication delays or noise. To develop a more effective economic dispatch strategy, this research focuses on noise’s effect performance of an islanded microgrid. Three different strategies, Lagrange, firefly, and artificial bee colony algorithms, are compared for opt...

The main objective of electric power dispatch is to provide electricity to the customers at low cost and high reliability. Transmission line failures constitute a great threat to the electric power system security. We use a Markov decision process (MDP) approach to model the sequential dispatch decision making process where demand level and transmission line availability change from hour to hou...

This paper presents a demonstration of solving combined economic and emission dispatch problems by using one of swarm intelligences, called particle swarm optimization. The objective of the combined problem can be expressed by taking both the total production cost and total emission into account with required constraints. Among potential intelligent search methods, particle swarm optimization i...

Economic load dispatch is one of the main functions of electrical power management systems. The main objective of economic load dispatch is to minimize the fuel cost while satisfying the required equality and inequality constraints. Economic Load Dispatch is a well known problem and has been a major concern for researchers and industrialists all around the world. The problem consists of divisio...