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Variable time period spike electricity price optimizing method for aggregation air conditioning

An optimization method and variable time period technology, which can be used in instruments, data processing applications, forecasting, etc., and can solve problems such as system load rebound

Inactive Publication Date: 2016-10-12
SOUTHEAST UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The peak power price is a price mechanism that can avoid the peak load of the system, but the simple peak power price will cause a large-scale rebound in the system load after the end of the peak power price due to the consistency of the distribution period.

Method used

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  • Variable time period spike electricity price optimizing method for aggregation air conditioning
  • Variable time period spike electricity price optimizing method for aggregation air conditioning
  • Variable time period spike electricity price optimizing method for aggregation air conditioning

Examples

Experimental program
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Embodiment

[0078] like Figure 1-4 as shown,

[0079] 1) Estimate the baseline load of the air conditioner load under the jurisdiction of the load aggregator; in the embodiment, 15 load aggregators are set up, and each load aggregator governs 1000 air conditioners. The average rated power of these air conditioners is 2.5kW, and the average cooling energy efficiency ratio is 2.7, the equivalent heat capacity follows the logarithmic normal distribution with a mean value of 0.18kWh / °C and a standard deviation of 0.036kWh / °C, and the equivalent thermal resistance follows a logarithm with a mean value of 5.56°C / kW and a standard deviation of 1.112°C / kW normal distribution.

[0080] Since the intensity of the air conditioner has a strong correlation with the air temperature, when calculating the baseline load, the air temperature forecast information must first be obtained. The embodiment only considers 4 hours, and considers that the outdoor temperature for these four hours is a constant val...

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Abstract

The invention discloses a variable time period spike electricity price optimizing method for aggregation air conditioning. The method comprises the steps that (1) the baseline load of an air conditioning load under a load aggregator is estimated; (2) a mathematical model is established for the process of adjusting the air conditioning set temperature according to electricity price variation for a user; (3) a mathematical model is established for air conditioning load variation process caused by air conditioning set temperature variation; (4) a variable time period spike electricity price optimization model is established; and (5) optimization electricity price is issued to each load aggregator. According to the invention, the variable time period spike electricity price optimizing method for aggregation air conditioning can assign reasonable spike electricity price to guide the user to change the air conditioning set temperature to change an aggregation air conditioning load curve; load reduction amount is acquired; and the user is assisted to participate in electric power peak shaving control by using the air conditioning load.

Description

technical field [0001] The invention belongs to the technical field of demand response, and in particular relates to a peak power price optimization method for variable time periods for aggregated air conditioners. Background technique [0002] With the improvement of the national economic level, the air-conditioning load has become the main temperature-sensitive load in summer and winter, and its controllable potential is huge, but there is currently a lack of an effective incentive mechanism. The peak power price is a price mechanism that can avoid the peak load of the system, but the simple peak power price will cause a large-scale rebound in the system load after the end of the peak power price due to the consistency of the distribution period. Contents of the invention [0003] In order to overcome the deficiencies of the prior art, the present invention provides a method for optimizing peak power prices at variable time periods for aggregated air conditioners. The op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 周磊王蓓蓓谢畅胡晓青朱峰张天伟李海思
Owner SOUTHEAST UNIV
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