Research on optimization configuration of distributed power flow controllers in distribution networks with distributed photovoltaics

Abstract This study investigates the optimization of site selection and capacity setting for distributed power flow controllers to improve the safety and stability of the power grid and reduce operating costs. Introducing the concept of weighted power flow entropy, the weighted power flow entropy values of different installation positions in the power grid are calculated. Based on the minimum weighted power flow entropy index, the installation position of the distributed power flow controller is determined. Considering the economic efficiency of power grid operation, the benefits obtained from the change in transmission capacity after adding DPFC and the cost required for laying distributed power flow controllers are calculated for the power flow section. Genetic algorithm is applied to size the distributed power flow controller with Distributed Stateful Stream Processor with Chaining and Checking unit capacity as the step size. When the maximum economic efficiency is reached, it is the optimal capacity. The site selection and capacity determination method proposed in the paper was validated in an IEEE 30 node example system, and the results showed the effectiveness of the proposed method.