Active power distribution network multi-target optimization scheduling method of coordinating stored energy and flexible load

Abstract

The invention provides an active power distribution network multi-target optimization scheduling method of coordinating stored energy and a flexible load. In optimization scheduling of an active power distribution network, the space-time relationship between the stored energy and the flexible load and influences of network power flow are considered; and an active power distribution network optimization scheduling model employing the maximum renewable energy utilization rate, the minimum network loss and the highest consumer satisfaction degree as goals is built. An analytic hierarchy process-entropy weight method is provided for calculating weight coefficients of various sub-goals; a particle swarm optimization algorithm containing a nonlinear decreasing inertia weight is adopted for solving the built model; meanwhile, the coordinating role among various elements of the active power distribution network is quantified through setting the scheduling priorities of a controllable distributed power generation unit, an energy storage system and the flexible load; and example analysis is finally carried out. A simulation result shows that the utilization rate of renewable distributed power generation is increased through coordination and optimization of the stored energy and the flexible load; the active loss of the network is effectively reduced through the provided scheduling priorities; and the consumer satisfaction degree is improved, so that the rationality of the optimization scheme is verified.

Description

technical field [0001] The invention relates to an adjustment method for energy storage to participate in the operation of an active distribution network, in particular to a multi-objective optimization scheduling method for an active distribution network that coordinates energy storage and flexible loads. Background technique [0002] With the dual challenges of energy crisis and environmental pollution, renewable distributed power generation technology is becoming more and more mature, and its capacity connected to the power grid is gradually increasing. The traditional power grid is facing the danger of power reverse. In order to better accommodate renewable energy , active distribution network technology came into being. The operation scheduling of the active distribution network is to actively control distributed power, energy storage, and flexible loads to achieve optimal energy management. Therefore, studying the scheduling optimization problem of active distribution...

AI Technical Summary

Problems solved by technology

The traditional optimal dispatching model of active distribution network does not consider the operation loss of energy storage devices, the damage cost of energy storage device state switching, the role of load end on energy scheduling, and the coordination of energy storage devices and flexible loads.

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