Review on Economic Load Dispatch and Associated Artificial Intelligence Algorithms

In a practical power system, power plants are not equidistant from the distribution center and their fuel cost is different. Under normal operating conditions, the production capacity is even greater than the required total load and losses. Therefore, there are many options for planning the build. In an interconnected network, the objective is to determine the planning of the active and reactive power of each system in order to minimize operating costs. This means that the active and reactive power of the generator can vary within certain limits in order to cover a certain load requirement with minimal fuel costs. This is called the optimal power flow problem. This paper provides an overview of AI-based algorithms, genetic algorithms and their applications with cost-effective charge transport.