Power system backup optimization method and system considering multiple fault scenarios

A technology of power system and optimization method, applied in the direction of system integration technology, design optimization/simulation, information technology support system, etc., can solve problems such as inaccurate optimization results, memory exhaustion, large time and storage space occupation, and improve The effect of engineering application value, comprehensive simulation operation, and reliable optimization results

Active Publication Date: 2022-06-21
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This optimization result is not accurate. At the same time, when the number of scenes is large, the direct solution may lead to memory exhaustion, taking up a lot of time and storage space

Method used

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  • Power system backup optimization method and system considering multiple fault scenarios
  • Power system backup optimization method and system considering multiple fault scenarios
  • Power system backup optimization method and system considering multiple fault scenarios

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0029] In one or more embodiments, a power system backup optimization method considering multiple fault scenarios is disclosed, such as figure 1 shown, including the following process:

[0030] Step S101: according to the load forecast data and equipment operation failure rate statistical data in the scheduling day, divide into several independent failure scenarios;

[0031] Specifically, in the process of constructing a robust stochastic backup optimization model of the power system considering multiple fault scenarios and the uncertainty of fault probability, according to the load forecast data within the grid scheduling time limit and the statistical data of equipment operating failure rates (generator sets, transmission lines, etc.) etc.), the fault scenarios are divided into Ω, and each scenario is independent of each other.

[0032] It should be noted that the division of the number and types of fault scenarios is not unique, and those skilled in the art can make specif...

Embodiment 2

[0179] In one or more embodiments, a power system backup optimization system considering multiple fault scenarios is disclosed, such as figure 2 shown, including:

[0180] The fault scenario division module is used to divide several independent fault scenarios according to the load forecast data and equipment operation failure rate statistics in the dispatch day;

[0181] The standby optimization model building module takes the minimum total cost as the optimization goal, and considers the constraints of units, networks and fault scenarios to construct a robust standby optimization model of the power system;

[0182] The standby optimization model solving module is used for solving the robust standby optimization model of the power system to obtain the standby optimization scheme of the power system.

[0183] It should be noted that the specific implementation manners of the above-mentioned modules have been described in detail in Embodiment 1, and are not repeated here.

Embodiment 3

[0185] In one or more embodiments, a terminal device is disclosed, including a server, the server including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the The program implements the backup optimization method of the power system considering multiple fault scenarios in the first embodiment. For brevity, details are not repeated here.

[0186] It should be understood that, in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

[0187] The memory may include read-only mem...

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Abstract

The invention discloses a power system backup optimization method and system considering multiple fault scenarios, including: dividing a number of independent fault scenarios according to the load forecast data and equipment operation failure rate statistics data within the scheduling day; the optimization goal is to minimize the total cost , considering the constraint conditions of the unit, the network, and the fault scenario, a robust backup optimization model of the power system is constructed; the robust backup optimization model of the power system is solved to obtain a backup optimization scheme of the power system. The invention constructs a power system robust stochastic standby optimization model considering multiple fault scenarios and fault probability uncertainty. The system reserve capacity can be optimized considering multiple fault scenarios and their uncertainties. The robust optimization uncertainty description method is adopted, the simulation operation is more comprehensive, the optimization results are more reliable and comprehensive, and the power system reserve capacity is improved. The engineering application value of the configuration.

Description

technical field [0001] The invention relates to the technical field of power system scheduling, and in particular, to a method and system for power system backup optimization considering multiple fault scenarios. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The decision-making problem of reserve is one of the basic contents of power system dispatch. The allocation of reserve capacity taking into account reliability and economy can not only ensure the safe operation of the system, but also reduce certain dispatch costs for power companies, which is in line with the development needs of the power market. Backup is mainly to deal with the uncertainty caused by renewable energy output, load fluctuation and equipment failure in the power system. The main goal of backup optimization is to optimize the allocation of the system's reserve capac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/06H02J3/00G06F111/04G06F111/08
CPCG06F30/20G06Q10/04G06Q50/06H02J3/00G06F2111/04G06F2111/08H02J2203/20Y02E40/70
Inventor 王明强杨明王孟夏王成福王勇董晓明
Owner SHANDONG UNIV
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