The multi-objective optimization of Distribution System management in deregulated electricity market

In the electricity deregulation, the electricity consumption of consumers depending on the electricity prices will change because the electricity prices are expected to fluctuate according to the market conditions. Therefore, the fluctuation of the electricity consumption can cause difficulty of distribution system operation, e.g. minimizing the distribution line losses, improving the voltage profile, and so on. Previous studies show that Distribution System Reconfiguration (DSR) is effective to minimize distribution line losses and improve voltage profile on the distribution lines. However, the DSR problems in the literatures considering the electricity deregulation are not studied sufficiently. In this paper, we formulate a multi-objective optimization problem about the distribution system operation with DSR, and search for quasi-Pareto optimal solutions using Non-dominated Sorting Genetic Algorithm-II (NSGA-II).