CN103574845B - A kind of ice-storage system optimal control method based on cooling load prediction - Google Patents

A kind of ice-storage system optimal control method based on cooling load prediction Download PDF

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CN103574845B
CN103574845B CN201310538268.6A CN201310538268A CN103574845B CN 103574845 B CN103574845 B CN 103574845B CN 201310538268 A CN201310538268 A CN 201310538268A CN 103574845 B CN103574845 B CN 103574845B
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ice
storage
storage system
cold
refrigeration
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CN103574845A (en
Inventor
许高杰
石坤
沈敏轩
李德志
闫华光
王鹤
蒋利民
李涛永
黄伟
何桂雄
钟鸣
屈博
孟珺遐
孙毅
王正刚
周宁
张景超
王倩
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Henan Electric Power Co Ltd
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Henan Electric Power Co Ltd
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
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Abstract

The invention provides a kind of ice-storage system optimal control method based on cooling load prediction, comprise the following steps: step 1: the object day refrigeration duty total amount of ice-storage system is predicted; Step 2: judge whether object day refrigeration duty total amount exceedes the ratio of required ice-storage system cold-storage total amount, if exceed, then perform step 3, if do not exceed, then ice-storage system adopts part cold-storage mode cooling, performs step 4 afterwards; Step 3: according to the priority level order of electricity price section, take corresponding cold-storage mode cooling; Step 4: in electricity price low ebb period phase, ice-storage system carries out cold-storage according to maximum cold-storage power, and cold storage capacity provides all refrigeration dutys for it.Present invention employs the control strategy optimizing ice-chilling air conditioning system based on cooling load prediction and priority ordering method, improve the economy that ice-storage system runs.

Description

A kind of ice-storage system optimal control method based on cooling load prediction
Technical field
The invention belongs to ice-storage system applied technical field, be specifically related to a kind of ice-storage system optimal control method based on cooling load prediction.
Background technology
Central air-conditioning system, as the indispensable part of modern city heavy construction, consumes a large amount of energy, causes power spikes load in the power consumption period together with commercial power load.Ice-storage system carries out cold-storage by night dip section, cold discharges by peak of power consumption by day, reduce the power consumption of air conditioner refrigerating main frame in the electricity consumption peak phase, effectively achieve on the one hand " peak load shifting " of electric power, on the other hand owing to there is electricity price between peak and valley, ice-storage system also can save the overall operation expense of air-conditioning, brings economic benefit.
At present, ice-storage system major part adopts the mode of part cold-storage, is also refrigeration host computer and Ice Storage Tank air conditioning, and refrigeration duty distribution is between the two the key of ice-storage system economy, Effec-tive Function.Existing system adopts storage-priority control or the preferential control mode of refrigeration machine to realize the distribution of refrigeration duty usually, storage-priority control mode controls simply, but the ice of Ice Storage Tank can be caused to be finished in advance, the demand of peak value refrigeration duty can not be met, refrigeration unit may work long hours in low load condition simultaneously, and efficiency is lower; And the preferential control mode of refrigeration machine requires that refrigeration plant capacity is higher, increase investment cost, and Ice Storage Tank utilization rate is low, effectively can not realizes the object of " peak load shifting " and saving operating cost.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of ice-storage system optimal control method based on cooling load prediction, need the refrigeration duty born between reasonable distribution each period ice-storage system and refrigeration unit separately, thus improve the economy of total system operation.
In order to realize foregoing invention object, the present invention takes following technical scheme:
The invention provides a kind of ice-storage system optimal control method based on cooling load prediction, said method comprising the steps of:
Step 1: the object day refrigeration duty total amount of ice-storage system is predicted;
Step 2: judge whether object day refrigeration duty total amount exceedes the ratio of required ice-storage system cold-storage total amount, if exceed, then perform step 3, if do not exceed, then ice-storage system adopts part cold-storage mode cooling, performs step 4 afterwards;
Step 3: according to the priority level order of electricity price section, take corresponding cold-storage mode cooling;
Step 4: in electricity price low ebb period phase, ice-storage system carries out cold-storage according to maximum cold-storage power, and cold storage capacity provides all refrigeration dutys for it.
In described step 1, adopt history meteorogical phenomena database and refrigeration duty database, in conjunction with the weather information of object day, obtain the prediction of ice-storage system objective for implementation day hourly cooling load.
In described step 2, the ratio of ice-storage system cold-storage total amount is 35% ~ 100%;
1) if object day, refrigeration duty total amount exceeded the ratio of required ice-storage system cold-storage total amount, ice-storage system all stores full;
2) if object day refrigeration duty total amount lower than the ratio of required ice-storage system cold-storage total amount, adopt part cold-storage mode, refrigeration duty is all provided by ice-storage system.
In described step 3, according to the priority level order of electric power subsidy electricity price section, Critical Peak Pricing section, peak electricity tariff section peace peak electricity price section, take corresponding cold-storage mode cooling.
Electric power subsidizes electricity price section or in the Critical Peak Pricing section period, adopt storage-priority control mode, ice-storage system lets cool with the maximum power that lets cool, if cannot meet workload demand, then opens refrigeration unit and supplement.
In the peak electricity tariff section period, adopt storage-priority control and refrigeration unit oepration at full load mode, under the condition meeting refrigeration duty, choose minimum refrigeration unit with oepration at full load, all the other refrigeration dutys are provided by ice-storage system.
Flat peak electricity price section is divided into refrigeration duty to exceed refrigeration unit general power and refrigeration duty is less than the refrigeration unit general power two class period:
1) refrigeration duty exceedes in the refrigeration unit general power period, and with the preferential cooling of refrigeration unit, all the other refrigeration dutys are provided by ice-storage system;
2) refrigeration duty is less than in the refrigeration unit general power period, and according to refrigeration duty order from small to large, if the amount of letting cool of ice-storage system does not exceed ice-storage system cold-storage total amount, refrigeration duty is provided by ice-melt; All periods all realize cold distribute after, if ice-storage system still has residue cold storage capacity, the cold provided by refrigeration unit is replaced by ice-melt successively, until the ice in ice-storage system cannot continue replace refrigeration unit.
Compared with prior art, beneficial effect of the present invention is:
Have employed the control strategy optimizing ice-chilling air conditioning system based on cooling load prediction and priority ordering method, take full advantage of the cold of Ice Storage Tank, the electricity consumption of power surges period can be saved, improve the operational efficiency of refrigeration unit simultaneously, the overall operation expense of air-conditioning system is lowered, there is good economy.
Accompanying drawing explanation
Fig. 1 is the ice-storage system optimal control method flow chart based on cooling load prediction;
Fig. 2 be in the embodiment of the present invention certain build 100% object day hourly cooling load distribution map;
Fig. 3 is this building prediction day hourly cooling load distribution map in the embodiment of the present invention;
Fig. 4 is this building prediction day ice-storage system Optimal Control Strategy figure in the embodiment of the present invention;
Fig. 5 is that in the embodiment of the present invention, certain builds the control strategy figure under 25% object day hourly cooling load operating mode.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail.
As Fig. 1, the invention provides a kind of ice-storage system optimal control method based on cooling load prediction, said method comprising the steps of:
Step 1: the object day refrigeration duty total amount of ice-storage system is predicted;
Step 2: judge whether object day refrigeration duty total amount exceedes the ratio of required ice-storage system cold-storage total amount, if exceed, then perform step 3, if do not exceed, then ice-storage system adopts part cold-storage mode cooling, performs step 4 afterwards;
Step 3: according to the priority level order of electricity price section, take corresponding cold-storage mode cooling;
Step 4: in electricity price low ebb period phase, ice-storage system carries out cold-storage according to maximum cold-storage power, and cold storage capacity provides all refrigeration dutys for it.
In described step 1, adopt history meteorogical phenomena database and refrigeration duty database, in conjunction with the weather information of object day, obtain the prediction of ice-storage system objective for implementation day hourly cooling load.
In described step 2, the ratio of ice-storage system cold-storage total amount is 35% ~ 100%;
1) if object day, refrigeration duty total amount exceeded the ratio of required ice-storage system cold-storage total amount, ice-storage system all stores full;
2) if object day refrigeration duty total amount lower than the ratio of required ice-storage system cold-storage total amount, adopt part cold-storage mode, refrigeration duty is all provided by ice-storage system.
In described step 3, according to the priority level order of electric power subsidy electricity price section, Critical Peak Pricing section, peak electricity tariff section peace peak electricity price section, take corresponding cold-storage mode cooling.
Electric power subsidizes electricity price section or in the Critical Peak Pricing section period, adopt storage-priority control mode, ice-storage system lets cool with the maximum power that lets cool, if cannot meet workload demand, then opens refrigeration unit and supplement.
In the peak electricity tariff section period, adopt storage-priority control and refrigeration unit oepration at full load mode, under the condition meeting refrigeration duty, choose minimum refrigeration unit with oepration at full load, all the other refrigeration dutys are provided by ice-storage system.
Flat peak electricity price section is divided into refrigeration duty to exceed refrigeration unit general power and refrigeration duty is less than the refrigeration unit general power two class period:
1) refrigeration duty exceedes in the refrigeration unit general power period, and with the preferential cooling of refrigeration unit, all the other refrigeration dutys are provided by ice-storage system;
2) refrigeration duty is less than in the refrigeration unit general power period, and according to refrigeration duty order from small to large, if the amount of letting cool of ice-storage system does not exceed ice-storage system cold-storage total amount, refrigeration duty is provided by ice-melt; All periods all realize cold distribute after, if ice-storage system still has residue cold storage capacity, the cold provided by refrigeration unit is replaced by ice-melt successively, until the ice in ice-storage system cannot continue replace refrigeration unit.
Embodiment one
Figure 2 shows that certain building 100% design day hourly cooling load distribution map, the cold storage capacity of ice-storage system designs according to 35% of this building design day cooling load total amount, and the total cold storage capacity of Ice Storage Tank is 6960RTH.Two refrigeration unit rating under air conditioning conditions are 516RT, and Xu Yuanzhong refrigerating capacity is 435RT.This building electricity price is divided into four periods: Critical Peak Pricing section (11:00 ~ 12:00,15:00 ~ 16:00), peak electricity tariff section (9:00 ~ 11:00,14:00 ~ 15:00,17:00 ~ 21:00), flat peak electricity price section (7:00 ~ 9:00,12:00 ~ 14:00,16:00 ~ 17:00,21:00 ~ 23:00), low ebb electricity price section (23:00 ~ 7:00).
Control Strategy of Iced Storage-cold System realizes based on the distribution of prediction day hourly cooling load, according to this building prediction day hourly cooling load a few days ago and temperature of correspondence thereof, in combination with the prediction degree/day that networking obtains, obtain the distribution of this building prediction day hourly cooling load as shown in Figure 3.Prediction day refrigeration duty total amount exceedes total cold storage capacity of ice-storage system, adopts ice-storage system ice-melt and refrigeration unit air conditioning mode.
There is Critical Peak Pricing section in this building, storage-priority control mode is adopted in these two periods of 11:00 ~ 12:00,15:00 ~ 16:00, ice-storage system lets cool with the maximum power that lets cool, and all the other refrigeration dutys are provided by refrigeration unit, is met the demand of refrigeration duty by ice-melt and refrigeration unit air conditioning.
In order to make ice-reserving be used in electric power high price section as far as possible, during 9:00 ~ 11:00,14:00 ~ 15:00,17:00 ~ 19:00 peak electricity tariff section, only open a wherein refrigeration host computer, all the other refrigeration dutys are provided by ice-melt; During 19:00 ~ 21:00 peak electricity tariff section, whole refrigeration duty is all provided by ice-melt, and refrigeration unit does not work.
In flat peak electricity price section, ice-storage system still has cold, first chooses period 12:00 ~ 14:00,16:00 ~ 17:00 that refrigeration duty demand is greater than refrigeration unit general power, and day part is with the preferential cooling of refrigeration host computer, and insufficient section is then provided by ice-storage system.
Flat peak electricity price section 7:00 ~ 9:00,21:00 ~ 23:00, refrigeration duty demand is less than refrigeration unit general power, and now ice-storage system still has cold, adopts ice-melting mode to provide refrigeration duty according to refrigeration duty order from small to large.
The refrigeration duty that all periods realize refrigeration unit and ice-storage system is distributed, now ice-storage system residue cold still enough replaces part refrigeration unit, flat peak electricity price section refrigeration duty demand is greater than day part 12:00 ~ 14:00, the 16:00 ~ 17:00 of refrigeration unit general power, sort from small to large according to refrigeration duty, cold refrigeration unit provided remains cold by ice-storage system successively and replaces, until the ice of Ice Storage Tank cannot continue to replace refrigeration unit.
By peak hour section, rush hour section, letting cool of flat peak time section measure the total cold storage capacity of ice-storage system in low ebb electricity price section, ice-reserving is carried out according to ice machine oepration at full load, until cold storage capacity and put cold balancing, and then obtain this building prediction day ice-storage system Optimal Control Strategy as shown in Figure 4.
Embodiment two
What the cold storage capacity of ice-storage system generally designed day hourly cooling load total amount according to building 100% more than 30% designs, if prediction day hourly cooling load total amount is less than total cold storage capacity of ice-storage system, whole refrigeration duty provides by ice-storage system ice-melt.Under prediction day is 25% design day hourly cooling load operating condition, control strategy as shown in Figure 5.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment to invention has been detailed description, those of ordinary skill in the field are to be understood that: still can modify to the specific embodiment of the present invention or equivalent replacement, and not departing from any amendment of spirit and scope of the invention or equivalent replacement, it all should be encompassed in the middle of right of the present invention.

Claims (1)

1., based on an ice-storage system optimal control method for cooling load prediction, it is characterized in that: said method comprising the steps of:
Step 1: the object day refrigeration duty total amount of ice-storage system is predicted;
Step 2: judge whether object day refrigeration duty total amount exceedes the ratio of required ice-storage system cold-storage total amount, if exceed, then perform step 3, if do not exceed, then ice-storage system adopts part cold-storage mode cooling, performs step 4 afterwards;
Step 3: according to the priority level order of electricity price section, take corresponding cold-storage mode cooling;
Step 4: in electricity price low ebb period phase, ice-storage system carries out cold-storage according to maximum cold-storage power, and cold storage capacity provides all refrigeration dutys for it;
In described step 1, adopt history meteorogical phenomena database and refrigeration duty database, in conjunction with the weather information of object day, obtain the prediction of ice-storage system objective for implementation day hourly cooling load;
In described step 2, the ratio of ice-storage system cold-storage total amount is 35% ~ 100%;
1) if object day, refrigeration duty total amount exceeded the ratio of required ice-storage system cold-storage total amount, ice-storage system all stores full;
2) if object day refrigeration duty total amount lower than the ratio of required ice-storage system cold-storage total amount, adopt part cold-storage mode, refrigeration duty is all provided by ice-storage system;
In described step 3, according to the priority level order of electric power subsidy electricity price section, Critical Peak Pricing section, peak electricity tariff section peace peak electricity price section, take corresponding cold-storage mode cooling;
Electric power subsidizes electricity price section or in the Critical Peak Pricing section period, adopt storage-priority control mode, ice-storage system lets cool with the maximum power that lets cool, if cannot meet workload demand, then opens refrigeration unit and supplement;
In the peak electricity tariff section period, adopt storage-priority control and refrigeration unit oepration at full load mode, under the condition meeting refrigeration duty, choose minimum refrigeration unit with oepration at full load, all the other refrigeration dutys are provided by ice-storage system;
Flat peak electricity price section is divided into refrigeration duty to exceed refrigeration unit general power and refrigeration duty is less than the refrigeration unit general power two class period:
1) refrigeration duty exceedes in the refrigeration unit general power period, and with the preferential cooling of refrigeration unit, all the other refrigeration dutys are provided by ice-storage system;
2) refrigeration duty is less than in the refrigeration unit general power period, and according to refrigeration duty order from small to large, if the amount of letting cool of ice-storage system does not exceed ice-storage system cold-storage total amount, refrigeration duty is provided by ice-melt; All periods all realize cold distribute after, if ice-storage system still has residue cold storage capacity, the cold provided by refrigeration unit is replaced by ice-melt successively, until the ice in ice-storage system cannot continue replace refrigeration unit.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102519113A (en) * 2011-12-10 2012-06-27 深圳市得益节能科技有限公司 Peak load shifting control method for central air conditioner ice storage

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102519113A (en) * 2011-12-10 2012-06-27 深圳市得益节能科技有限公司 Peak load shifting control method for central air conditioner ice storage

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