Voltage Optimal Strategy for Low-Voltage Distribution Network Considering Model Missing

Aiming at the problem of the lack of power flow model caused by the difficulty of obtaining the topological parameters of the low-voltage distribution station area, this paper proposes a multi-objective centralized optimization control strategy that fully taps the voltage regulation capability of distributed power sources for the problem of voltage over-limit. Firstly, based on the historical voltage and power data, the voltage sensitivity and grid loss sensitivity functions are obtained by the least square method. On this basis, a multi-objective optimization adjustment is established with the objective function of grid loss, voltage quality, voltage regulation cost, and photovoltaic consumption rate. Pressure model, particle swarm algorithm is used to solve the optimal output scheme of ESS, EV, PV and other adjustable resources in the low-voltage distribution network when the voltage exceeds the limit. Finally, the effectiveness of the voltage regulation strategy is verified by simulation. The simulation results show that the strategy proposed in this paper can effectively solve the problem of voltage over-limit in the scenario where the model is missing, and ensure the consumption rate and economy of distributed power.