CN109872059A - A kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method - Google Patents
A kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method Download PDFInfo
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Abstract
The invention discloses a kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating methods, from residual air-conditioning load polymerization model response characteristic, analyze the dynamic relationship of room temperature and outdoor temperature and air-conditioning power, fully consider air conditioner load heat accumulation characteristic, and combine conservation of energy principle, air conditioner load Potential Model is obtained, and whether assessment air conditioner load response policy exceeds air conditioner load regulation potentiality based on this, provides constraint condition for residual air-conditioning load demand response strategy.
Description
Technical field
The present invention relates to a kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating methods, belong to electric system
Demand response Potential Evaluation field.
Background technique
In order to cope with increasingly serious unbalanced supply-demand problem, Demand-side resource management is more and more paid attention to.By
Limited in traditional power generation dispatching potentiality promotion, load control, which has been increasingly becoming, alleviates one of the important means of shortage of electric power.It is logical
Cross and load rearranged in time, load control can peak load shifting, press load curve and stabilize new energy
Fluctuation enriches the regulating measure of operation of power networks scheduling.
Building belonging to the indoor heat loads such as air-conditioning, heat pump has thermmal storage ability, adjusts in several minutes~dozens of minutes
Influence very little of the operating status to users'comfort, while the type load is larger in the total accounting of city load, even more than 50%,
Therefore it is considered important demand response resource.The type load is larger by external environment and resident's comfort degree simultaneously, needs
Response potentiality are asked to refer to that conductive mesh operator carries out load control and reaches regulation purpose while not influencing the key of users'comfort.
In demand response, uncertain fluctuation can occur for ambient temperature, while air conditioner load response rings to stabilize load fluctuation
The target power answered is also to change over time, this is that the assessment of response potentiality increases very big difficulty.
Summary of the invention
Goal of the invention: the present invention proposes a kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method, is
Resident's air-conditioning participates in load control and provides the foundation.
Technical solution: the technical solution adopted by the present invention is quantitative for a kind of residual air-conditioning load group demand response dynamic potentiality
Appraisal procedure, comprising the following steps:
1) the residual air-conditioning load scale for participating in demand response is determined, and selected part residual air-conditioning load is as resident's sky
Adjust load sample group；
2) polymerization model of residual air-conditioning load sample cluster is calculated；
3) whole residual air-conditioning load group's polymerization models are calculated；
4) according to whole residual air-conditioning load group polymerization models, air conditioner load demand response characteristic is analyzed；
5) residual air-conditioning load group's potentiality computation model is established.
The polymerization model of residual air-conditioning load sample cluster includes thermally conductive parameter G in the step 2)1, calculation formula is as follows:
And heat accumulation parameter C1, it is specific as follows:
The thermally conductive parameter C and heat accumulation parameter G of whole residual air-conditioning load group's polymerization models are as follows in the step 3):
Wherein, N, n respectively indicate residual air-conditioning load sum and sample air conditioner load number.
It is as follows that air conditioner load polymerization model is obtained in the step 4) first:
Wherein, T (t) is Average indoor temperature of the residual air-conditioning load in t moment, and P (t) is residual air-conditioning load group in t
The aggregate power at moment obtains Average indoor temperature T further according to formula (5)rateIt calculates as follows:
Residual air-conditioning load group response characteristic is analyzed based on formula (6).
Residual air-conditioning load group potentiality computation model in the step 5) are as follows:
Wherein, M is constant, is equal to initial temperature.
The utility model has the advantages that the present invention is directed to residual air-conditioning load group thermodynamic behaviour, based on user to the comfortable of room temperature
Degree demand, for quantitative evaluation under outdoor temperature variation, air conditioner load demand response power dynamic potentiality obtain residual air-conditioning load
Group's aggregate power, outdoor temperature and room temperature dynamic relationship participate in load control for resident's air-conditioning and provide the foundation.Simultaneously originally
Invention also assesses residual air-conditioning load responding power, judges whether air conditioner load strategy exceeds user and relax to room temperature
Appropriateness requires.
Detailed description of the invention
Fig. 1 is residual air-conditioning load group's potentiality performance plot；
Fig. 2 is residual air-conditioning load Average indoor temperature variation.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate
It the present invention rather than limits the scope of the invention, after the present invention has been read, those skilled in the art are to of the invention each
The modification of kind equivalent form falls within the application range as defined in the appended claims.
The following steps are included:
1) it determines the residual air-conditioning load scale for participating in demand response, randomly selects part air-conditioning as sample.
Selected demand response region, determines the residual air-conditioning load sum N for participating in demand response.In order to reduce calculation amount,
N platform air conditioner load is randomly selected as sample, whole residual air-conditioning load polymerization models are assessed with this.
2) polymerization model of residual air-conditioning load sample cluster is calculated.
Measuring initial outdoor temperature is To, all sample air conditioner load room temperatures are set as T1, collect sample air-conditioning
Load operation power P1, the thermally conductive parameter G in sample air conditioner load room is calculated further according to these data1, calculation formula is as follows:
In ttransIn period, by sample air conditioner load room temperature from T1, it is adjusted to T in batches2, and when measuring this section
Interior outdoor temperature To(t), sample air conditioner load room heat accumulation parameter C is calculated1, it is specific as follows:
3) whole residual air-conditioning load group's polymerization models are calculated.
According to the sample residual air-conditioning load model parameter being calculated in step 2), whole residual air-conditioning load groups are calculated
The thermally conductive parameter C of polymerization model and heat accumulation parameter G, specific as follows:
Wherein, N, n respectively indicate residual air-conditioning load sum and sample air conditioner load number.
4) according to whole residual air-conditioning load group polymerization models, air conditioner load demand response characteristic is analyzed.
Using the parameter for the residual air-conditioning load group that step 3) is calculated, it is as follows to obtain air conditioner load polymerization model:
Wherein, T (t) is Average indoor temperature of the residual air-conditioning load in t moment, and P (t) is residual air-conditioning load group in t
The aggregate power at moment.Average indoor temperature T is obtained according to formula (5)rateIt calculates as follows:
Residual air-conditioning load group response characteristic is analyzed based on formula (6), it is specific as shown in Figure 1.
5) residual air-conditioning load group's potentiality computation model is established.
On the basis of step 4), solution formula (5) differential equation of first order is as a result as follows:
Wherein, M is constant, is equal to initial temperature.
The Relationship Between Dynamic Change between outdoor temperature, operation power and Average indoor temperature, Indoor Temperature are obtained by formula (7)
Degree is by resident's comfort degree, and value interval determines the size of operation power, therefore formula (7) is that resident load group needs
Seek response potentiality computation model.
Example
With the 120000 resident's air-conditionings possessed in certain region.Assuming that single residual air-conditioning load parameter value range is such as
Under (every air conditioner load parameter randomly selects in value range):
Air conditioner load potentiality computation model is obtained with method herein to be shown below:
Residual air-conditioning load group's potentiality characteristic is as shown in Figure 1.
With method of the invention, for specific residual air-conditioning load group responding power, it can be determined that whether beyond response
Potentiality, it is specific as shown in Figure 2.As can be seen from Figure 2 as air-conditioning group aggregate power is constantly reduced, air-conditioning room temperature is continuous
Rise, up to 25.5 DEG C, without departing from comfort level range (the room temperature comfort level model in this example of user indoor temperature
It encloses and is set to [23,27] DEG C).
Claims (5)
1. a kind of residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method, which comprises the following steps:
1) the residual air-conditioning load scale for participating in demand response is determined, and selected part residual air-conditioning load is negative as resident's air-conditioning
Lotus sample cluster；
2) polymerization model of residual air-conditioning load sample cluster is calculated；
3) whole residual air-conditioning load group's polymerization models are calculated；
4) according to whole residual air-conditioning load group polymerization models, air conditioner load demand response characteristic is analyzed；
5) residual air-conditioning load group's potentiality computation model is established.
2. residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method according to claim 1, feature exist
In the polymerization model of residual air-conditioning load sample cluster includes thermally conductive parameter G in the step 2)1, calculation formula is as follows:
And heat accumulation parameter C1, it is specific as follows:
3. residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method according to claim 2, feature exist
In the thermally conductive parameter C and heat accumulation parameter G of whole residual air-conditioning load group's polymerization models are as follows in the step 3):
Wherein, N, n respectively indicate residual air-conditioning load sum and sample air conditioner load number.
4. residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method according to claim 3, feature exist
In it is as follows that air conditioner load polymerization model is obtained in the step 4) first:
Wherein, T (t) is Average indoor temperature of the residual air-conditioning load in t moment, and P (t) is residual air-conditioning load group in t moment
Aggregate power, obtain Average indoor temperature T further according to formula (5)rateIt calculates as follows:
Residual air-conditioning load group response characteristic is analyzed based on formula (6).
5. residual air-conditioning load group demand response dynamic potentiality quantitative evaluating method according to claim 4, feature exist
In residual air-conditioning load group potentiality computation model in the step 5) are as follows:
Wherein, M is constant, is equal to initial temperature.
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| CN111555274A (en) * | 2020-05-08 | 2020-08-18 | 燕山大学 | Dynamic assessment method for air conditioner load demand response capability |
| CN113420413A (en) * | 2021-05-27 | 2021-09-21 | 国网上海市电力公司电力科学研究院 | Flexible load adjustability quantification method and system based on load plasticity |
| CN114719408A (en) * | 2022-03-29 | 2022-07-08 | 湖北合合能源科技发展有限公司 | Method for adjusting central air-conditioning system by using meteorological data |
| CN115330280A (en) * | 2022-10-14 | 2022-11-11 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for evaluating adjustable potential of air conditioner load demand response in aggregated load |
| CN116136978A (en) * | 2023-04-14 | 2023-05-19 | 国网江苏省电力有限公司南通供电分公司 | Method and system for evaluating load aggregation demand response potential of massive small residents |
| CN116151032A (en) * | 2023-04-17 | 2023-05-23 | 湖南大学 | Residential building dynamic load flexible potential calculation method, device, equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111102644A (en) * | 2019-12-10 | 2020-05-05 | 中国电力科学研究院有限公司 | Method and system for determining potential of heat accumulating type electric heating participating in power grid peak shaving |
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| CN111555274B (en) * | 2020-05-08 | 2022-06-03 | 燕山大学 | Dynamic assessment method for air conditioner load demand response capability |
| CN113420413A (en) * | 2021-05-27 | 2021-09-21 | 国网上海市电力公司电力科学研究院 | Flexible load adjustability quantification method and system based on load plasticity |
| CN114719408A (en) * | 2022-03-29 | 2022-07-08 | 湖北合合能源科技发展有限公司 | Method for adjusting central air-conditioning system by using meteorological data |
| CN115330280A (en) * | 2022-10-14 | 2022-11-11 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for evaluating adjustable potential of air conditioner load demand response in aggregated load |
| CN115330280B (en) * | 2022-10-14 | 2023-02-21 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for evaluating adjustable potential of air conditioner load demand response in aggregated load |
| CN116136978A (en) * | 2023-04-14 | 2023-05-19 | 国网江苏省电力有限公司南通供电分公司 | Method and system for evaluating load aggregation demand response potential of massive small residents |
| CN116151032A (en) * | 2023-04-17 | 2023-05-23 | 湖南大学 | Residential building dynamic load flexible potential calculation method, device, equipment and medium |
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