Cluster temperature control load control method based on model prediction and multi-scale priority

Abstract

The invention relates to a cluster temperature control load control method based on model prediction and multi-scale priority. The method comprises the steps of (1), performing 2D state warehouse modeling of a cluster temperature control load; (2), calculating a controlled load time varying state space model; (3), obtaining a cluster temperature control load control model at the current time basedon a model predication control algorithm; (4), performing load object screening according to a multi-scale priority sequencing index; and (5), executing model prediction for controlling an optimal control signal. According to the cluster temperature control load control method based on model prediction rolling optimized control, a load screening process based on multi-scale priority sequencing ofnormalized temperature distance, power similarity and accumulated number of controlling times is added. Compared with a traditional control method, the cluster temperature control load control methodhas advantages of improving precision and speed of a load response optimal control signal vector, and realizing better comprehensive performance at aspects of control precision, response speed, loadparticipation requirement response fairness.

Description

technical field [0001] The invention belongs to the field of flexible interactive intelligent power consumption and demand response, and in particular relates to a cluster temperature control load control method based on model prediction and multi-scale priority. Background technique [0002] In recent years, my country's renewable energy has developed rapidly. In 2016, the newly added grid-connected capacity of wind power was 19.3 million kilowatts, and the newly added grid-connected capacity of photovoltaic power reached 34.24 million kilowatts. However, renewable energy such as wind power and photovoltaics has "unfriendly" characteristics such as randomness and intermittency, and large-scale grid connection will adversely affect the safe and reliable operation of the power system. The latest research at home and abroad shows that the dynamic integration of demand-side resources will gradually become an effective way to improve the capacity of new energy consumption. Temp...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a cluster temperature control load control method based on model prediction and multi-scale priority, which is used to solve the problem that the response effect of the existing cluster temperature control load control method depends on the time-varying characteristics of a given tracking signal and the control accuracy is low And other issues

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