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Constrained GPC optimal control method for load frequency of multi-zone interconnection power system

A power system, optimization control technology, applied in the field of power system, can solve the problem that the load frequency control of multi-area interconnected power system is rarely used

Active Publication Date: 2017-03-22
WENZHOU UNIVERSITY
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Problems solved by technology

[0004] Generalized Predictive Control (GPC), as a typical model predictive control method, has been successfully applied in the fields of chemical process systems, robots, aircrafts, etc. few applications

Method used

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  • Constrained GPC optimal control method for load frequency of multi-zone interconnection power system
  • Constrained GPC optimal control method for load frequency of multi-zone interconnection power system
  • Constrained GPC optimal control method for load frequency of multi-zone interconnection power system

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings, and the purpose and effect of the present invention will be more obvious.

[0050] figure 1 It is a system structure diagram of load frequency control of a two-area interconnected power system. Taking this system as an example, the control method proposed by the present invention is adopted for implementation. figure 2 It is a schematic diagram of the principle of the constrained GPC optimal control method for the load frequency of the multi-area interconnected power system; image 3 It is a schematic diagram of the implementation process of the constrained GPC optimal control method for the load frequency of the multi-area interconnected power system.

[0051] A constrained GPC optimization control method for load frequency of a multi-area interconnected power system comprises the following steps:

[0052] (1) Establish a state-space model of the load frequency of t...

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Abstract

The invention discloses a constrained generalized-predictive-control (GPC) optimal control method for a load frequency of a multi-zone interconnection power system. On the basis of a small-signal mechanism analysis modeling method and Z conversion, a controlled autoregressive integrated moving average model of a load frequency of a multi-zone interconnection power system is established; with constrained GPC as a control method, weighted values of a square value of an error between a system predicted output and a reference track, a square value of an output increment of a controller, and a square value of a control output are used as optimal objective functions; and a high-efficiency adaptive evolved optimal solver is designed to realize on-line rolling optimization of constrained GPC and all variables of the system are updated in real time to realize optimal control of the load frequency. With the method disclosed by the invention, the optimal control effect of the load frequency of the multi-zone interconnection power system can be realized. Compared with the prior art, the disclosed method has the improved steady-state performance and dynamic performance and high robustness.

Description

technical field [0001] The present invention relates to intelligent control technology in the field of electric power system, in particular to a constrained GPC (Generalized Predictive Control, generalized predictive control) optimization control method for load frequency of multi-area interconnected electric power system. Background technique [0002] An important feature of the modern power system is the interconnected operation of different regions, and the load frequency control is an important measure to ensure the stability of the multi-regional interconnected power system. The basic principle of load frequency control in multi-area interconnected power system is to use the regional control deviation composed of frequency and tie line exchange power as the control signal, and to realize the active power of the generator set to quickly and accurately track the load change of the system by designing an effective control strategy. Therefore, how to design an effective loa...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 曾国强陆康迪刘海洋吴烈谢晓青戴瑜兴李理敏王环
Owner WENZHOU UNIVERSITY
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