nowadays, economic load dispatch between generation units with least cost involved is one of the most important issues in utilizing power systems. in this paper, a new method i.e. water cycle algorithm (wca) which is similar to other intelligent algorithm and is based on swarm, is employed in order to solve the economic load dispatch problem between power plants. in order to investigate the eff...

An efficient and optimum economic operation of electric power generation systems has always occupied an important position in the electric power industry. This involves allocation of the total load between the available generating units in such a way that the total cost of operation is kept at a minimum. In recent years this problem has taken a suitable twist as the public has become increasing...

The main objective of Economic Load Dispatch (ELD) problem is to schedule the connecting generating units of plant outputs, so as to fulfill load demands at minimum operating costs while satisfying all operational constraints. Economic Load Dispatch (ELD) is one of an important optimization tasks which provides an economic condition for power systems. Recently Particle Swarm Optimization (PSO) ...

This paper presents the application of Genetic algorithm (GA) to solve the economic load dispatch problem of the power system. The effectiveness of the proposed algorithm has been demonstrated on two different test systems considering the transmission losses. Test system-1 includes a three generator system and test system-2 includes an IEEE 30-bus system. The results of test system-1 are compar...

one of the significant strategies of the power systems is economic dispatch (ed) problem, which is defined as the optimal generation of power units to produce energy at the lowest cost by fulfilling the demand within several limits. the undeniable impacts of ramp rate limits, valve loading, prohibited operating zone, spinning reserve and multi-fuel option on the economic dispatch of practical p...

An efficient Particle Swarm Optimization (PSO) technique, employed to solve Economic Dispatch (ED) problems in power system is presented in this paper. With practical consideration, ED will have nonsmooth cost functions with equality and inequality constraints that makes the problem, a large-scale highly constrained nonlinear optimization problem.The proposed method expands the original PSO to ...

This paper develops an efficient and clear insight view about the application of various PSO algorithms to the economic load dispatch problem with emission restrictions as the constraint. Solution acceleration techniques in the algorithm which enhance the speed and robustness of the algorithm are developed. The power and usefulness of the algorithm is demonstrated through its application to a t...

Received Oct 14,2012 Revised Jan 05, 2013 Accepted March 02,2013 In practical cases, the fuel cost of generators can be represented as a quadratic function of real power generation and satisfied constraints for minimizing of fuel cost. Artificial bee colony (ABC) algorithm is used for the optimization of active power dispatch of generating units. The proposed method is able to determine, the ou...

A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years due to its flexibility and the ability to avoid reaching local optima. This optimization approach has become a candidate approach for many optimization problems. Unfortunately, this attractive algorithm suffers several downsides including stagnation and slow convergence t...

The product of Electricity Energy is one of the main problems for improvement of Country’s economy. The main sources for the production of the electricity are water, coal, diesel and others various fuels. In this paper we will model the problem of the energy product in the Thermal Station, which is a non-linear optimization problem in short term thermal scheduling problem. We propose a new impr...