AbstractA power system with many generating units should run under economic condition. The operating cost must be minimized for any feasible load demand. However, along with the cost, the environmental emissions should also be considered, that make it multiobjective optimization problem. In this paper, we have used the standard IEEE test bus systems as a model power system for solving the economic load dispatch (ELD) problem considering different size of system. A comparison of simulation output is made between the results obtained by applying conventional Newton Raphson and Lagrangian multiplier (LM)algorithms and proposed genetic algorithm (GA). From the simulation results, it is observed that, the proposed GA based approach provides bett...
Two hybrid algorithms, GAA and GAA2, are proposed in this paper for evaluating the trade-off between...
The main objective of thermoelectric power plants is to meet the power demand with the lowest fuel c...
This paper presents an application of the novel evolutionary algorithm for assessing financially an ...
AbstractA power system with many generating units should run under economic condition. The operating...
EKE, ibrahim/0000-0003-4792-238X; AKKAS, OZGE PINAR/0000-0001-5704-4678;WOS: 000441452800002The dete...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load disp...
In a practical power system, the power plants are not located at the same distance from the center o...
Economic load dispatches (ELD) have been applied to obtain optimal fuel cost of generating units. Ge...
AbstractEconomic Load Dispatch (ELD) is the process of allocating the required load between the avai...
Inadequate amount ofenergy resources, increasing power demand and growing electricity generation mak...
Abstract. In This paper, we present a hybrid approach combining two optimization techniques for solv...
ABSTRACT: Economic load dispatch is an important optimization problem in power system. Due to the ha...
An efficient and optimum economic operation of electric power generation systems has always occupied...
The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating un...
Two hybrid algorithms, GAA and GAA2, are proposed in this paper for evaluating the trade-off between...
The main objective of thermoelectric power plants is to meet the power demand with the lowest fuel c...
This paper presents an application of the novel evolutionary algorithm for assessing financially an ...
AbstractA power system with many generating units should run under economic condition. The operating...
EKE, ibrahim/0000-0003-4792-238X; AKKAS, OZGE PINAR/0000-0001-5704-4678;WOS: 000441452800002The dete...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load disp...
In a practical power system, the power plants are not located at the same distance from the center o...
Economic load dispatches (ELD) have been applied to obtain optimal fuel cost of generating units. Ge...
AbstractEconomic Load Dispatch (ELD) is the process of allocating the required load between the avai...
Inadequate amount ofenergy resources, increasing power demand and growing electricity generation mak...
Abstract. In This paper, we present a hybrid approach combining two optimization techniques for solv...
ABSTRACT: Economic load dispatch is an important optimization problem in power system. Due to the ha...
An efficient and optimum economic operation of electric power generation systems has always occupied...
The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating un...
Two hybrid algorithms, GAA and GAA2, are proposed in this paper for evaluating the trade-off between...
The main objective of thermoelectric power plants is to meet the power demand with the lowest fuel c...
This paper presents an application of the novel evolutionary algorithm for assessing financially an ...