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Method for optimizing power utilization modes of residential users with orientation to demand response

A power consumption model and demand response technology, applied in the field of power consumption services, can solve problems such as incomplete research

Active Publication Date: 2015-07-15
STATE GRID CORP OF CHINA +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the research on residents' load participation in demand response focuses on direct load control strategies, and the research on load optimization from the perspective of establishing a load response model is not comprehensive.

Method used

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  • Method for optimizing power utilization modes of residential users with orientation to demand response
  • Method for optimizing power utilization modes of residential users with orientation to demand response
  • Method for optimizing power utilization modes of residential users with orientation to demand response

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specific Embodiment approach

[0061] Assumptions:

[0062] (1) The rated power of a user's air conditioner is 2500W, the rated power of the water heater is 900W, and the rated power of the maximum gear of the lighting system is 2000W.

[0063] (2) Before optimization, the set temperature of the air conditioner was set at a constant temperature of 25°C; the water heater was set to be used at 22:00, and it was turned on at 19:00-21:59 before optimization; the lighting system was set at 7:00-8:59, 17:00 00-19:59 opening type 1 file, 20::00-23:59 opening type 2 file.

[0064] (3) Take 24 hours as the optimization period, 15 minutes as the control interval, and the total number of time periods N=96.

[0065] Input data:

[0066] (1) Forecast the outdoor temperature matrix tout[96] for each time period of the day;

[0067] (2) Electricity price matrix p[96] for each time period;

[0068] (3) Water heater usage time t 使用 =89;

[0069] (4) Lighting gear parameter x[96], gear factor parameter α[96]: α x(t) =...

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Abstract

The invention discloses a method for optimizing power utilization modes of residential users with orientation to demand response. The method comprises the following steps: building load response dynamic models comprising an air conditioner load response model, a water heater load response model and a lighting load response model of typical power utilization equipment of the residential users; determining a target function of a power utilization mode optimizing model by taking the minimum power utilization cost and highest power utilization manner satisfaction degree of the users as targets; building constraint conditions of the power utilization mode optimizing model, which comprise adjustable constraint of indoor temperature, the water temperature of the water heater and a lighting surface; solving the model by using a particle swarm algorithm combined with the grey theory to obtain state control variables of the air conditioner, the water heater and the lighting load in various time periods and determine the optimal operation manner of each power utilization equipment. The method is applied to optimization examples of different power utilization scenes of the residents and provides a specific reference scheme for the participation of the residential users in the demand response projects, thereby achieving the effects of meeting the power utilization demand, reducing the power utilization cost and optimizing the load peak.

Description

technical field [0001] The invention relates to a demand-response-oriented method for optimizing the power consumption mode of residential users, and belongs to the technical field of power consumption services. Background technique [0002] With the increase of residential users' electrical equipment and the growth of electricity demand, the impact of residential load on power grid peaks is increasing. In recent years, policy measures and economic incentives have been used to guide users to optimize power consumption patterns, and the demand response method of using less electricity during peak periods and more electricity consumption during low valleys has been applied in large industrial and commercial users. The implementation of load coordination optimization can not only quickly respond to the dispatch of the grid side, reduce the power demand during peak hours, but also lower the cost, which is of great significance for improving the efficiency of power energy utiliza...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
Inventor 史媛陈璐杨永标谢敏王春宁薛璐
Owner STATE GRID CORP OF CHINA
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