Abstract—A genetic algorithm (GA) solution to the network-constrained economic dispatch problem is presented. A real-coded GA has been implemented to minimize the dispatch cost while sat-isfying generating unit and branch power-flow limits. A binary-coded GA was also developed to provide a means of comparison. GA solutions do not impose any convexity restrictions on the dis-patch problem. The proposed method was applied on the electrical grid of Crete Island with satisfactory results. Various tests with convex and nonconvex unit cost functions demonstrate that the proposed GA locates the optimum solution, while it is more effi-cient than the binary-coded GA. Index Terms—Economic dispatch, genetic algorithm (GA). I
Economic dispatch problem is an optimization problem where objective function is highly non linear, ...
The main goal of Economic Dispatch (ED) is to determine the output of generating unit with least cos...
Economic dispatch is an important non-linear optimization task in power systems. In this process, th...
The efficient and optimum economic operations of electric power generation systems have always occup...
This paper develops and recommends improved real coded genetic algorithm (IRCGA) for dynamic economi...
Economic load dispatches (ELD) have been applied to obtain optimal fuel cost of generating units. Ge...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
Electricidade de Portugal (EDP);Rede Electrica Nacional (REN);ABB - Portugal;IEEE;ERSE2001 IEEE Port...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The...
This paper aims to solve the economic dispatch problem of the 28-bus Nigerian power system using gen...
Economic dispatch (ED) is considered to be one of the key functions in electric power system operati...
In a practical power system, the power plants are not located at the same distance from the center o...
The great advances in technology and industry have brought about an increase in the demand for energ...
A modified firefly algorithm (FA) was presented in this paper for finding a solution to the economic...
Economic dispatch problem is an optimization problem where objective function is highly non linear, ...
The main goal of Economic Dispatch (ED) is to determine the output of generating unit with least cos...
Economic dispatch is an important non-linear optimization task in power systems. In this process, th...
The efficient and optimum economic operations of electric power generation systems have always occup...
This paper develops and recommends improved real coded genetic algorithm (IRCGA) for dynamic economi...
Economic load dispatches (ELD) have been applied to obtain optimal fuel cost of generating units. Ge...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
Electricidade de Portugal (EDP);Rede Electrica Nacional (REN);ABB - Portugal;IEEE;ERSE2001 IEEE Port...
Economic dispatch is the process of finding the optimal generation scheduling of a number of electri...
This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The...
This paper aims to solve the economic dispatch problem of the 28-bus Nigerian power system using gen...
Economic dispatch (ED) is considered to be one of the key functions in electric power system operati...
In a practical power system, the power plants are not located at the same distance from the center o...
The great advances in technology and industry have brought about an increase in the demand for energ...
A modified firefly algorithm (FA) was presented in this paper for finding a solution to the economic...
Economic dispatch problem is an optimization problem where objective function is highly non linear, ...
The main goal of Economic Dispatch (ED) is to determine the output of generating unit with least cos...
Economic dispatch is an important non-linear optimization task in power systems. In this process, th...