Distributed photovoltaic configuration optimization based on three-phase unbalance under time sequence

With the access of DG distributed energy such as single-phase photovoltaic, the inherent three-phase unbalance and negative sequence voltage of distribution network become more prominent. The traditional planning ignores the partial phase operation of distributed PV and the negative sequence voltage in the distribution network, resulting in a slightly poor effect. In this paper, aiming to restrain the influence of negative sequence voltage in distribution network connecting single phase photovoltaic power, an optimal objective function to minimize negative sequence voltage, active power losses on a transmission line and the degree of voltage instability is set up. The Bacterial Colony Chemotaxis Optimization algorithm is used to search the Pareto optimal solution set. The optimal solution is obtained only if the sum of Pareto subset among the optimal solution set. The proposed approach in the paper can effectively solve the multi-objective optimization problem and improve the convergence.