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This paper presents an application of Genetic Algorithm (GA) to solve Economic Load Dispatch problem which aims to determine minimum fuel cost and Environmental Load Dispatch problem which aims to determine minimum gas emission for required energy production of the chosen power system. Test system is chosen as IEEE-30 bus system which includes 6 generators with necessary values given for ease of simulation...
This paper proposes a new way of applying a differential evolution algorithm to short-term electrical power generation scheduling. Traditionally, the problem is divided into two subproblems. An evolutionary algorithm, which works with binary decision variables, is applied to the first subproblem to find a low cost scheduling of power generators, satisfying some operational constraints. Then, the lambda-iteration...
This study proposes an efficient and computationally feasible solution approach based on evolutionary algorithms, to the distribution system restoration problem. In recent years, the enlargement and development of electrical power systems have introduced various problems related to the continuity of load feeding. When a fault occurs in distribution system, the faulted area should be isolated from...
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