Model prediction control-based active and reactive coordinated control method of power distribution network

Abstract

The invention discloses a model prediction control-based active and reactive coordinated control method of a power distribution network. The method comprises the steps of (1) building a recent optimization and control model according to an optimization object and constraint conditions; (2) solving the recent optimization and control model and making a recent active and reactive control plant of the power distribution network; (3) taking a recent active and reactive control plan of the power distribution network as a reference value, considering current and future running constraint conditions on the basis of a running state measurement value of the power distribution network at a current moment, building a prediction model and an active and reactive coordinated optimization and control model at an intra-day rolling correction stage by and solving an intra-day active and reactive control instruction sequence in a limited period in the future; and (4) executing an intra-day active and reactive control instruction at a first moment, moving a time window backwards at a time interval and repeating the intra-day rolling correction optimization process. According to the method, the running cost of a system is reduced on the premise of ensuring the running security of the system, the network loss of the system is reduced, and maximization of the running benefit of the active power distribution network is achieved.

Description

technical field [0001] The invention belongs to the field of distribution network operation optimization, and relates to a model predictive control-based active and reactive power coordination control method for a distribution network. Background technique [0002] As a large number of distributed power sources, flexible loads, energy storage devices, reactive power compensation devices and other equipment are connected to the distribution network, the traditional distribution network is gradually evolving into an active distribution network with many adjustable and controllable resources. Distributed power generation, especially renewable energy, has random, intermittent and fluctuating power generation output, and its prediction accuracy is low, and the prediction error increases with time, which brings great challenges to the regulation of the power grid. The active distribution network urgently needs to find a regulation method that can better deal with the uncertainty o...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the existing optimal dispatching methods for active power distribution network based on model predictive control are all only for active power dispatching, and do not consider the influence of reactive power changes in the distribution network. For a strong distribution network, it is not complete and comprehensive

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