A Method of User Response

A technology based on user needs and users, applied in data processing applications, forecasting, instruments, etc., can solve problems such as increasing grid operating costs, lack of effective incentives for grid companies, and long adjustment cycles, so as to optimize its own electricity consumption behavior and promote commercialization The effect of developing and minimizing the cost of electricity purchase

Active Publication Date: 2022-02-11
GUANGDONG POWER GRID CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the demand response method based on the peak-valley electricity price is widely used in my country, but the demand response method based on the peak-valley electricity price has the following shortcomings: First, the selection of the peak-valley electricity price ratio and the execution period of the peak-valley electricity price is mostly based on experience, which has a large The subjectivity of unreasonable selection may lead to "over-adjustment" of load; second: peak-valley electricity price is a static pricing strategy, and each adjustment of peak-valley electricity price requires a lot of research and evaluation work, and the adjustment period is long. Most of them are one year or more, and cannot reflect changes in market supply and demand in a timely manner
[0004] In addition, many places in my country have also carried out pilot work on demand response based on policy incentives, but there are also some shortcomings in demand response based on policy incentives: First, there is a lack of effective incentives for power grid companies, and power grid companies with core marketing data lack motivation to dominate demand Second, the subsidy standard has not been tested by the market. If the subsidy amount is too low, users will lack enthusiasm for participation. If the subsidy amount is too high, it will increase the operating cost of the power grid; Calculation, the calculation method of the baseline load mostly adopts the average value of similar electricity consumption dates, so that on the one hand, the baseline load needs to be updated and calculated frequently, on the other hand, it may also cause users to obtain high subsidies through speculation that deliberately raises the baseline load. On the contrary, it is not conducive to energy saving and emission reduction
[0007] Since my country's electricity market reform is still in the theoretical exploration and pilot promotion stage, there are currently few studies on user demand response methods that consider electric energy storage and thermal energy storage in the electricity market environment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of User Response
  • A Method of User Response
  • A Method of User Response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] A user demand response method, the method is based on the user energy system to respond to the user's demand, with the goal of minimizing the user's electricity consumption cost, and optimizing the user's electricity consumption mode;

[0055] The user energy system includes electric loads, heat loads, electric energy storage, thermal energy storage, and electric boilers that can convert electric energy into heat energy. This method considers their respective characteristic constraints and performs modeling. The process is as follows:

[0056] Objective function:

[0057]

[0058] The objective function is to minimize the user's electricity purchase cost, where N T is the number of time periods. In the spot market environment, transaction settlement is based on hours, so N T = 24; is the real-time electricity price, which is updated every hour; P(t) is the power purchased by the user;

[0059] The constraints are as follows:

[0060] Electricity load:

[0061] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is a user demand response method considering electric energy storage and thermal energy storage in a market environment, and belongs to the demand response technology based on real-time electricity prices. This method takes into account the price elasticity of electricity loads, that is, the higher the real-time electricity price, the smaller the load, and the goal is to minimize the user's electricity consumption cost, and optimize the user's electricity consumption mode; the user's energy system includes electricity load, heat load and Electric energy storage, thermal energy storage, and an electric boiler capable of converting electric energy into heat energy, the present invention considers their respective characteristic constraints and establishes an objective function. The invention is an effective exploration of the commercial development of the demand response mode in the spot market environment, and is of great significance to my country's energy revolution.

Description

technical field [0001] The invention is a user demand response method considering electric energy storage and thermal energy storage in a market environment, and belongs to the demand response technology based on real-time electricity prices. Background technique [0002] Demand response refers to allowing electricity users to voluntarily choose to reduce or increase electricity load for a certain period of time according to electricity price signals or incentive mechanisms during peak hours of electricity consumption or when system safety and reliability are at risk. The benefits of implementing demand response are remarkable. On the one hand, it can effectively reduce the peak load demand of the power system and delay the corresponding investment in power generation and transmission; High adjustment, start-up and stop costs during low-peak periods also improve the safety level of power grid operation. [0003] At present, the demand response method based on the peak-valle...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/06315G06Q10/04G06Q50/06
Inventor 阮绵晖谭喆黄明磊陈建福裴星宇蔡徽钱毅胡健坤游雪峰段新辉王大鹏凌华明隋宇杨昆唐小川温柏坚萧展辉裴求根江疆黄剑文彭泽武魏理豪谢瀚阳廖志戈黄晓英宋伟杰郑燕邓丽芬
Owner GUANGDONG POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap