Power grid quasi-real-time intelligent control method and system

An intelligent control, quasi-real-time technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as the inability to realize quasi-real-time control of the power grid, low exploration efficiency, and easy movement beyond the limit, so as to reduce computing resources and computing power. time, reduce the interruption of the training process, and improve the effect of training efficiency

Active Publication Date: 2022-01-28
CHINA ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, reinforcement learning is essentially a "trial and error" way of learning, which has defects such as low exploration efficiency, large fitting error, and easy action limit violations, and cannot realize quasi-real-time control of the power grid.

Method used

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  • Power grid quasi-real-time intelligent control method and system
  • Power grid quasi-real-time intelligent control method and system
  • Power grid quasi-real-time intelligent control method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] refer to figure 1 , the grid quasi-real-time intelligent control method of the present invention comprises the following steps:

[0047] 1) Build a digital operation simulation environment;

[0048] The concrete operation of step 1) is:

[0049] 11) Establish a simulation environment database by collecting historical power grid operation data. The data types contained in the simulation environment database include historical actual load, historical forecast load, historical unit output change curve, historical predicted new energy available generating capacity, and historical new energy. actual effort;

[0050] 12) Based on the simulation environment database, construct the random initialization function of the digital simulation environment;

[0051] 13) Obtain the topology of the power grid and its electrical parameters, and construct an environment iterative update function centered on power flow calculation and analysis according to the topology of the power grid a...

Embodiment 2

[0112] refer to figure 2 , the grid quasi real-time intelligent control system of the present invention comprises:

[0113] The simulation module 1 is used to build a digital operation simulation environment;

[0114] The training module 2 is used to train the agent in the data running simulation environment, wherein the agent loss function of the agent during the training process is constructed based on the scheduling empirical regularization term;

[0115] The acquisition module 3 is used to acquire the observed quantity of the power grid state, the observed quantity of the power grid state includes the output of the unit in the current period, the predicted value of the load active power in the next period, the change value of the load active power in the next period relative to the current period, and the disconnection of the line state, the upper limit of the adjustable range of unit output and the lower limit of the adjustable range of unit output;

[0116] The contro...

Embodiment 3

[0118] A computer device, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, the quasi-real-time intelligent control method for the power grid is realized Step, wherein, the memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are connected to each other through an internal bus, and the internal bus It can be an industry standard architecture bus, a peripheral component interconnection standard bus, an extended industry standard architecture bus, etc. The bus can be divided into address bus, data bus, control bus, etc. The memory is used to store programs, specifically, the programs may include program codes, and the program codes include computer operation instructions. Storage, which can include internal memory and ...

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Abstract

The invention discloses a power grid quasi-real-time intelligent control method and system, and the method comprises the steps: obtaining the observed quantity of a power grid state, wherein the observed quantity of the power grid state comprises the unit output in the current time period, a load active power predicted value in the next time period, a load active power change value of the next time period relative to the current time period, a line on-off state, a unit output adjustable range upper limit and a unit output adjustable range lower limit; inputting the observed quantity of the power grid state into the trained intelligent agent, taking the output result of the trained intelligent agent as a unit adjusting instruction to adjust each unit in the power grid, and completing the power grid quasi-real-time intelligent control, wherein an actuator loss function of the intelligent agent in the training process is constructed based on a scheduling experience regular term. According to the method and the system, quasi-real-time control of the power grid can be realized.

Description

technical field [0001] The invention belongs to the field of power system automation, and relates to a quasi-real-time intelligent control method and system for a power grid. Background technique [0002] In recent years, how to build a new power system with new energy as the main body has become a focus issue. New energy output has strong volatility, intermittent and randomness. The large-scale grid integration of new energy sources has added many uncertain factors to the operation of the power grid, and brought great challenges to the dispatching and control of the power grid. [0003] In this context, it is necessary to study the quasi-real-time control of power systems with the goal of maximizing the consumption of new energy. In the quasi-real-time control problem of power system, it is necessary for the dispatcher to determine the optimal dispatching and control scheme by rationally adjusting the active output of different types of units under the premise of satisfyi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46H02J3/48H02J3/00H02J3/38
CPCH02J3/466H02J3/48H02J3/003H02J3/004H02J3/0075H02J3/381H02J2203/20H02J2300/20H02J2300/40
Inventor 严嘉豪王珂姚建国杨胜春耿建李亚平李峰毛文博朱克东钱甜甜
Owner CHINA ELECTRIC POWER RES INST
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