Diploid genetic algorithm to solve optimal scheduling problem for hydropower in liberalised electricity market

This paper proposed an improved diploid genetic algorithm (DGA) to solve the nonlinear optimization problem for hydropower producer to obtain realistic and feasible bid in electricity market. The influence of mutation operator on population diversity in DGA was analyzed by introducing an average schema similar rate as the measure criteria. It showed that DGA had a better performance than HGA in terms of preserving the diversity. A case study was served for demonstrating the reasonability and feasibility of the developed method.