An Enhancement of Multi-objective Optimization Method in Unbalanced Power Distribution System Integrated Distributed Energy Resources

With the continuous variation of the power demand and the weather-dependent characteristics of the distributed energy resources (DERs), the balance of operation security and customers' benefits, is not easy to harmonize, especially in the context of the DERs' development such as solar, wind energy at present. In practice, we have to find a good solution to meet the objective of photovoltaic energy output's maximization and the objective of power loss's minimization and etc. But multi-objective optimization problem (MOOP) usually consumes a lot of time to solve and can not be converged in some cases with a fairly large complex network. In this paper, an enhancement of utilizing an open-source platform to solve MOOP for a distribution system integrated with DERs has been proposed. All implemented calculation and programming are optimized to reduce the consuming time, thus it is very flexible and legal to apply economically in practice. Specifically, it is expected to apply the whole model and its own results in the operation activity of power distribution companies.