The invention is suitable for the field of power distribution network optimization scheduling, and discloses a day-ahead-day
collaborative management and control method,
system and device considering distribution network
overcharge load fluctuation stabilization and a high-quality power supply target, and a medium, and the method comprises the steps: obtaining EV parameters, and employing a Monte Carlo method to simulate multiple types of EV loads; on the basis of the EV load, taking
system operation
economic optimization as an objective function, constructing a day-ahead optimization model in combination with multi-type constraints, and obtaining output instructions of OLTC, CB, a storage battery, photovoltaic and a super
capacitor as day-ahead optimization results through a Gurobi
solver; based on the updated EV load and the day-ahead optimization result, taking
system economy and node
voltage deviation as objective functions, combining the multi-type constraints, constructing an intra-day optimization model, obtaining optimized photovoltaic and super
capacitor output instructions through a Gurobi
solver, and combining output instructions of OLTC, CB and a storage battery to complete day-ahead-intra-day
collaborative management and control. Source load fluctuation is stabilized, the service life of a storage battery is prolonged, and safe and economical operation of a power distribution network is promoted.