A new method for optimizing the configuration of distribution network lines by an improved optimization algorithm in the presence of DGs

One of the most effective ways to reduce power loss and improve voltage profiles in distribution networks is to reconfiguration or redirect network lines. Reconfiguration is actually the opening of some closed lines and the closing of some open lines in order to achieve predetermined goals such as reducing power loss. Accordingly, this paper presents a new mathematical model for reconfiguration of distribution network in order to improve the voltage profile and reduce power loss in the presence of distributed generations. The innovation of this article is the simultaneous optimization to reduce the voltage deviation of different parts of the network and the energy dissipation of the network by considering the network load distribution constraints, limiting the bus voltage range, limiting power transmission lines, relationships governing distributed generations and limiting power transmission from the upstream network. Also, one of the other innovations of the present article is the normalization of different parts of the multi-objective function, which makes all the cases as a percentage and the mentioned function is converted from a multi-objective state to a single goal, and therefore there is no need to define weighting coefficients. Also, since the issue of reconfiguration considered in this paper is nonlinearly intertwined with integers, it is recommended to use an evolutionary algorithm of new improved adaptive colonial competition to reduce the time to solve the problem. The new proposed method is implemented in this article on the 69 IEEE distribution network. The results show the success of this method in achieving the predicted goals. Accordingly, the network losses have been reduced by 57% and the network voltage profile is within the allowable framework, so that the minimum amount of voltage after the proposed method was 0.95 (pu). Comparison with previous studies shows that the results of the proposed method have been much more successful in improving the intended goals.