This paper presents a novel architecture of an indigenously developed system in Trinidad and Tobago for Economic Generation and Load Dispatch and its successful implementation. Typical local practices and policy regulations for power industry are discussed along with the power generation and load profiles. The developed system ix-GEMS has different components and several features to assist the ...

Economic load dispatch (ELD) is a non-linear optimization problem for determining the power shared among the generating units to satisfy the generation limit constraints of each unit and minimizing the cost of power production. In this paper, we present a new hybrid algorithm by combing the standard backtracking search optimization algorithm (BSA) and the random wake with direction exploitation...

This paper presents a comparative study of classical method and soft computing optimization algorithm applied to solve Economic Load Dispatch problem with non-smooth fuel cost curves considering transmission losses, power balance and capacity constraints. The soft computing algorithm varies from the classical method in terms of the following basic factors. The genetic algorithm based approach p...

The economic dispatch (ED) problem is defined as that of finding an optimal distribution of system load to the generators in order to minimize the total generation cost while satisfying the total demand and generating-capacity constraints. The different combinations of combustion turbines and steam turbines in a combined cycle (CC) unit produce multiple states and each state has its own unique ...

In this research a multi-objective Imperialist Competitive Algorithm (MOICA) is applied for Environmental and Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be co...

Particle Swarm Optimization (PSO) is a swarm intelligence optimization method inspired from birds’ flocking or fish schooling. Many improved versions of PSO are reported in literature, including some by the authors. Original as well as improved versions of PSO have proven their applicability to various fields like science, engineering and industries. Economic dispatch (ED) problem is one of the...

The economic load dispatch (ELD) is one of the most important optimization problems from the view point of power system to derive optimal economy. Classically, it is to Identify the optimal combination of generation level of all generating units which minimizes the total fuel cost while satisfying the load. This classical ELD formulation has been solved by various methods like Lagrange method, ...

The Economic Dispatch Problem (EDP) is one of the important optimization problem in a power system. Traditionally, in EDP, the cost function for each generator has been approximately represented by a single quadratic function. The main aim of EDP is to minimize the total cost of generating real power while satisfying the equality constraints of power balance and the inequality generator capacit...

This paper reports on an evolutionary algorithm based method for solving the economic load dispatch (ELD) problem. The objective is to minimize the nonlinear function, which is the total fuel cost of thermal generating units, subject to the usual constraints. The IEEE 30 bus test system was used for testing and validation purposes. The results obtained demonstrate the effectiveness of the propo...

This paper presents an efficient emission constrained economic dispatch algorithm that deals with nonlinear cost function and constraints. It is then incorporated into the dynamic programming based hydrothermal coordination program. The program has been tested on a practical utility system having 32 thermal and 12 hydro generating units. Test results show that a slight increase in production co...