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Method for elastic identification of electrical load time

A technology of power load and load time, applied in the direction of power network operating system integration, climate sustainability, AC network voltage adjustment, etc., can solve problems such as inability to minimize power outage losses

Inactive Publication Date: 2012-10-31
HUNAN UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the currently adopted power rationing sequence list, there is a lack of orderly power consumption optimization based on economic cost factors, and it is impossible to minimize power outage losses.

Method used

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  • Method for elastic identification of electrical load time
  • Method for elastic identification of electrical load time
  • Method for elastic identification of electrical load time

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Embodiment Construction

[0012] The invention discloses a method for identifying electric power load time elasticity. In the power grid operation mode arrangement software system, the method is realized through a load time elasticity performance identification module and a load time elasticity size identification module. The following describes the implementation of the invention in conjunction with the accompanying drawings and its principles are explained.

[0013] like figure 1 As shown in the block diagram of the function module of the power grid operation mode orchestration software, the power load time elasticity identification module is added, and the orderly power consumption is optimized through it. The time elastic identification module includes two parts: elastic identification and size identification. The elastic identification module collects the load data of power users from the dispatch automation system and marketing system of the power company, and outputs the time elastic performance...

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Abstract

The invention discloses a method for elastic identification of electrical load time. By the method, the choice size of electricity consumption time of different types of power consumers can be identified, so that the order electric utilization optimization can be conveniently realized by a power sector. In a software system for editing the running mode of an electric network, the method is realized through a load time elastic property identification module and a load time elastic size identification module. The load time elastic property identification module judges whether the time elastic property and the types of the property exist through an acquired load curve. The load time elastic size identification module acquires loads with time elasticity from the elastic property identification module, and weighs up the size of the time elastic property. The method has a great decision supporting function for the operation of meeting summer and winter peaks, and is favorable for realizing safe and economical operation of the electric network.

Description

technical field [0001] The invention relates to the technical field of power grid economic dispatching, in particular to an identification method for time elasticity of power load. Background technique [0002] Load management is an important part of power demand side management (DSM), and it is an important measure to alleviate the contradiction between power supply and demand, do a good job in power supply, improve the efficiency of power use, and ensure the safe operation of the power system. In recent years, many provinces and cities in my country have implemented three forms of load management, namely step-down and load reduction, periodic regulation of user-controllable load, and direct cut-off of user-controllable load, to achieve orderly power consumption and alleviate power consumption during the peak period of power consumption. tension and maintain the stable operation of the power grid. [0003] The size of load elasticity plays an important guiding role in load ...

Claims

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Application Information

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IPC IPC(8): H02J3/14
CPCY02B70/3225Y04S20/222
Inventor 何丽娜黎灿兵曹一家张智焜李龙
Owner HUNAN UNIV
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