Transmission and distribution coordinated economic dispatching method through combination of model prediction control

Abstract

The present invention discloses a transmission and distribution coordinated economic dispatching method through combination of model prediction control. The method employs multi-step dynamic rolling optimization to obtain active and reactive output increments on the basis of the long-term scale transmission and distribution optimal power flow based on the principal and subordinate splitting methodand the short-term scale based on the model prediction control to regulate the stored energy accessed into the main network and the distribution network and the output of a distributed power source to make the output control process smoother; the short-term prediction link utilizes a LSTM neural network to process the sequence data and a deep learning method is employed for prediction so as to improve the prediction and control precision. The dispatching method provided by the invention can achieve coordinated optimization of the transmission network and the power distribution network to achieve the efficiency consumption of the new energy and the economic and efficient operation of the power grid.

Description

technical field [0001] The invention relates to a power system economic scheduling method, in particular to a transmission and distribution cooperative economic scheduling method combined with model predictive control. Background technique [0002] In recent years, with the continuous improvement of the penetration rate of distributed power in the power system, especially in the distribution network, the operation control of the power system has become more and more complicated. In order to cope with the access of distributed power and energy storage devices with a high penetration rate, researchers have proposed the concept of active distribution network. The active distribution network can control the combination of resources such as generators, loads and energy storage in the distribution network, and use the network topology to perform flexible power flow control. Due to the strong uncertainty of distributed power output, how to reasonably arrange power output and use d...

AI Technical Summary

Problems solved by technology

[0004] Many methods currently used by power companies are independently implemented in the transmission network and distribution network, lacking overall consideration, so it is difficult to achieve the optimization of economic benefits

It is impossible to reasonably adjust power output and implement demand response when there are overload scenarios in multiple places

At the same time, the current scheduling still relies on the experience of dispatchers in many scenarios, requiring dispatchers to have a deep understanding and mastery of the operating characteristics of the system and equipment, which increases the work pressure of dispatchers

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