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AGC power multi-objective random optimization distribution method

A technology of stochastic optimization and allocation method, which is applied to AC network circuits, electrical components, circuit devices, etc.

Active Publication Date: 2014-09-10
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +2
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Problems solved by technology

Compared with the subjective weighting method, the weight coefficient obtained by the objective weighting method is more appropriate and reasonable, but its calculation methods are mostly cumbersome, and it is difficult to meet the needs of fast multi-objective decision-making, especially in the application of the AGC system with a time scale of seconds

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  • AGC power multi-objective random optimization distribution method
  • AGC power multi-objective random optimization distribution method
  • AGC power multi-objective random optimization distribution method

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Embodiment 1

[0054] In this embodiment, the load frequency control model of the standard two-area interconnection system is taken as the research object, and the model includes three AGC units of coal power, gas power and hydropower. For specific model parameters and simulation design principles, please refer to Yu Tao, Wang Yuming , "Q-learning Algorithm for Dynamic Optimal Allocation of CPS Regulation Commands in Interconnected Grid" published by Liu Jinjin (Proceedings of the Chinese Society for Electrical Engineering), such as figure 2 shown. In this embodiment, there are a total of three objectives to be optimized, which are power deviation, adjustment cost, and carbon emission. Such as figure 1 As shown, in this embodiment, the multi-objective random optimal allocation method for the AGC unit power in the model includes the following steps:

[0055] (1) Determine the state discrete set S and the action discrete set A.

[0056] Wherein the state discrete set S determined in this e...

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Abstract

The invention discloses an AGC power multi-objective random optimization distribution method based on improved TOPSIS-Q. The method comprises the steps that (1), a state discrete set and a motion discrete set are determined; (2), state-motion value functions and state-motion probability matrixes are initialized; (3), real-time output active power of sets of a current control period regional power grid is collected; (4), immediate award values of optimization objectives are obtained; (5), the state-motion value functions of the optimization objectives are undated; (6), normalization processing is carried out on state-motion value matrixes through a range transformation method to solve optimal weight coefficients; (7), greed motion under the current state is solved, and the state-motion probability matrixes are updated; (8), motion is selected according to the current state-motion probability matrixes, and the step (3) is executed again when the next control period comes. The multi-objective optimization method is combined with an improved TOPSISI multi-objective decision method, and the dynamic multi-objective random optimization requirement for an AGC closed-loop control system with the high requirement for real-time performance can be met.

Description

technical field [0001] The invention relates to the technical field of automatic power generation control in electric power systems, in particular to an improved TOPSIS-Q-based multi-objective random optimal distribution method for AGC power, which is suitable for dynamic multi-objective random optimal distribution of AGC power. Background technique [0002] The AGC (Automatic Generation Control) controller is one of the important control systems of the power grid dispatching center. Its main task is to deal with random load disturbances by adjusting the generating power of the AGC unit in real time, so that the frequency of the interconnected grid and the exchange power of the tie line are kept at the rated value. value. After the AGC controller obtains a total generating power command according to the grid load disturbance, how to optimally allocate the total generating power command to each AGC unit in real time becomes a research difficulty. [0003] At present, there a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
Inventor 吴争荣许爱东郭晓斌杨航陈华军吴清黄松余涛张孝顺
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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