Genetic Algorithm Based Approach for Power Generation Dispatch with Emission Constraints

This paper presents a genetic algorithm based approach for solving the thermal generation dispatch with emission constraints. New encoding/decoding techniques are developed in the work. The chromosome contains only an encoding of the normalized system incremental cost. Therefore, the total number of bits of chromosome is entirely independent of the number of units. Moreover, the approach can take emission constraints into account to make the solution results satisfying environmental protection requirements. The salient feature makes the proposed genetic approach attractive in large and complex systems which other methodologies may fail to achieve. Numerical results show the proposed approach has potential in practical applications. Key-Words: Genetic Algorithm, Economic Dispatch, Chromosome, Emission Constraints.