Active and reactive power collaborative loss reduction optimization strategy for active distribution networks

The integration of distributed generators (DGs) poses great challenges to the topology, operation planning, control methods, and protection configuration of traditional distribution networks (DN). To solve the optimization control problem of large-scale multi-type DGs, energy storage systems (ESSs), and multi-type loads in DNs, this paper proposes a distributed active and reactive power optimization (ARPO) control method for active distribution networks (ADN). Firstly, the ADN is modeled, taking into account the reactive power (RP) support effects of DGs and ESSs inverters and the suppression of active power (AP) fluctuations in the ESSs, in addition to various grid operation constraints. Afterward, based on the established model, the improved Harris Eagle optimization algorithm (IHHOA) is used to optimize the AP and RP of the ADN to minimize economic efficiency (including operating costs and network loss costs) and voltage fluctuations. The proposed model and method not only ensure the economic operation of the ADN but also improve the voltage quality of the ADN and the self-consumption level of DGs. Finally, simulation verifies the effectiveness and feasibility of the proposed control method.