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Power demand response intelligent decision method based on price and excitation

A power demand response and intelligent decision-making technology, applied in data processing applications, instruments, resources, etc., can solve problems such as reducing demand

Inactive Publication Date: 2014-03-26
STATE GRID SHANDONG ELECTRIC POWER
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Problems solved by technology

If users choose to participate, but fail to reduce demand, they will be penalized

Method used

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  • Power demand response intelligent decision method based on price and excitation
  • Power demand response intelligent decision method based on price and excitation
  • Power demand response intelligent decision method based on price and excitation

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Embodiment Construction

[0092] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0093] In this method, in the process of sampling, investigation and simulation, the following overall assumptions and settings are first made for the load type and basic data:

[0094] (1) Considering that the implementation environment of the demand response project still needs a certain period of construction, the load method of some user types considers the use of forecast data.

[0095] (2) Considering that the proportion of agricultural power consumption in cities is low, the load is small, and the effect of demand response is not obvious, so only industrial, commercial and residential power consumption is considered in this study.

[0096] (3) For industrial electricity consumption, since the characteristics of different types of industrial loads are very different, and there are various types of underlying electrical equipment, the parameters and ...

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Abstract

The invention provides a power demand response intelligent decision method based on price and excitation. The method includes the steps of (a) collecting a sample, (b) obtaining an industrial load, (c) obtaining a moment load, (d) building safe operation constraint conditions, (e) building tolerance constraint conditions, (f) obtaining controllable load gross, (g) solving payback load gross, (h) building a basic demand relation, (i) building controllable time constraint conditions, (j) building a user benefit constraint function, (k) building a comfort degree optimal function, (l) building an electricity cost constraint function, (m) building a participation cost constraint function, (n) building a fairness constrain function, and (o) solving an optimal solution. By means of the intelligent decision method, an electric use time interval is adjusted to be a low-electricity-cost time interval, electricity consumption is reduced in a high-electricity-cost time interval, and electric charge is reduced; a user reduces power demands when a system needs or during power shortage, so that a peak load shifting function is achieved, and normal power supply is guaranteed.

Description

technical field [0001] The present invention relates to an intelligent decision-making method for electricity demand response based on prices and incentives, and more specifically, to an intelligent decision-making method for electricity demand response that can guide users to use electricity in a healthy manner and has the effect of peak-shaving and valley-filling. Background technique [0002] Demand response (Demand Response, hereinafter referred to as DR) is the abbreviation of electricity demand response. It is developed on the basis of electricity demand side management (referred to as "demand side management") and is the latest development of demand side management in the electricity market. Since EPRI-USA proposed the concept of demand-side management in the 1970s, it has attracted widespread attention from all over the world. Many countries have adopted demand-side management measures to varying degrees to effectively alleviate the tight power supply situation. [...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
Inventor 刘继东王相伟张国庆朱伟义袁伟玉梁波孟宪珂
Owner STATE GRID SHANDONG ELECTRIC POWER
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