Genetic Optimization for Combined Heat and Power Dispatch

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This paper presents a stochastic optimization approach to cogeneration of producing and using same electricity and heat from a single primary energy within the same installation, the genetic algorithms are more suitable for the economic dispatch and cogeneration. Genetic Algorithms (GA) are inspired by the concept of natural selection developed by Charles Darwin. The vocabulary used is directly modeled on the theory of evolution and genetics. The performance of the proposed algorithm is validated by illustration on IEEE standard networks. The results of the proposed approach are compared with other optimization methods. From numerical results, we see that the GA is able to provide a better solution in less effort calculation.
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Load Flow; Economic Dispatching Optimization; Cogeneration; Genetic Algorithm

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