Multi-objective Collaborative Optimization Strategy for Distribution Substations with Distributed Photovoltaics

As distributed photovoltaic (PV) systems become more widespread in distribution networks, voltage overrunning within the distribution substation area has become a prevalent issue. To address this challenge, a multi-objective co-optimization strategy based on dual sensitivity has been proposed for distribution networks within the distribution substation. Firstly, a distributed PV power model is established to analyze the impact of PV power on the voltage distribution within the distribution network. Secondly, to achieve the optimization and control of the unobservable area within the distribution substation, the voltage regulation function based on the least-squares method is fitted, and a dual-sensitivity fitting model for voltage-power and network loss-power is established. Then, a multi-objective optimization model for distribution substations is constructed, considering the minimum sum of network loss, node voltage deviation, PV active curtailment, and voltage regulation cost as control objectives. Finally, an example analysis is carried out in a real low-voltage distribution area, and the results indicate that the suggested approach can efficiently address the voltage overrun problem of the distribution area and reduce the network loss, which verifies the validity of this optimization strategy.