CN109066702A - A kind of load bilayer control method based on response potentiality - Google Patents
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- 230000004044 response Effects 0.000 title claims abstract description 102
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000002776 aggregation Effects 0.000 claims abstract description 49
- 238000004220 aggregation Methods 0.000 claims abstract description 49
- 238000006116 polymerization reaction Methods 0.000 claims abstract description 12
- 238000011217 control strategy Methods 0.000 claims abstract description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 26
- 238000004378 air conditioning Methods 0.000 claims description 25
- 230000005611 electricity Effects 0.000 claims description 7
- 238000010606 normalization Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000005553 drilling Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 240000002853 Nelumbo nucifera Species 0.000 claims description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims description 2
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims description 2
- 239000012141 concentrate Substances 0.000 claims 1
- 230000006872 improvement Effects 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of load bilayer control method based on response potentiality, this method participates in the polymerization potential of demand response based on intelligent load, formulates load bilayer control strategy.In upper layer policy, the aggregate response potential value of different load polymerization quotient institute compass of competency load is collected by control centre, and gives different Load aggregation quotient according to potential value proportional assignment power shortage amount；In lower layer's strategy, each Load aggregation quotient receives the demand response amount that control centre issues, and comprehensively considers various factors, further establishes the response condition that Optimized model determines each family's load.Technical solution provided by the invention can be in electric network active vacancy, demand response is participated in intelligent load and realizes precisely scheduling, while guaranteeing users'comfort, dispatching of power netwoks cost and power networks risk is effectively reduced, there is great directive significance to the strategy that is precisely controlled that load participates in the response of electric network active vacancy is formulated.
Description
Technical field
The invention belongs to optimal dispatch fields, and in particular to a kind of load bilayer controlling party based on response potentiality
Method.
Background technique
Power transmission power be substantially improved and the significant growth of electric load so that there is relatively high power vacancy in power grid
When, the phenomenon that trend is more than stability limitation will occur in important passway for transmitting electricity.With the raising of intermittent generation of electricity by new energy permeability,
The active enabling capabilities that fired power generating unit can be provided are more and more limited.If power grid cannot in time carry out this Partial Power vacancy
Compensation, it is likely that cascading failure even more massive power outage occur.Under traditional scheduling method, there is especially severe
Urgent power shortage in the case of, power grid can take the measure of urgent cutting load.But it is unfavorable that this way runs social economy.
With the fast development of demand response technology, resident load, which is transformed into from traditional passive controlling terminal, has master
The schedulable resource of dynamic response ability.But since the response capacity that single load can be provided is smaller, the duration is short, it is difficult
With reach participate in demand response power threshold, by Load aggregation quotient to it is such can flexible dispatching burdened resource carry out potentiality
Abundant excavation and integration comprehensively, and it is negative to reduce or even avoid power grid promptly to cut using this active response ability of load
The case where lotus.
Summary of the invention
The technical problem to be solved by the present invention is to solve the above shortcomings of the prior art and to provide one kind based on response potentiality
Load bilayer control method.
To realize the above-mentioned technical purpose, the technical scheme adopted by the invention is as follows:
A kind of load bilayer control method based on response potentiality, the polymerization for participating in demand response based on intelligent load are latent
Power formulates the double-deck control strategy including upper layer policy and lower layer's strategy, comprising the following steps:
Step 1: Load aggregation quotient can obtain the information that single load provides from the load group administered, thus
The analysis of load group responding ability is intensively carried out, and the aggregate response potential value of institute's compass of competency load is reported to control
Center；
Step 2: in upper layer policy, network load operation information is collected by control centre and different load polymerization quotient is managed
The aggregate response potential value of area under one's jurisdiction domain load, if there is urgent power shortage, control centre according to aggregate response potential value press than
Power shortage amount is distributed to different Load aggregation quotient by example；
Step 3: in lower layer's strategy, each Load aggregation quotient receives the demand response amount that control centre issues, with assembly
This minimum determines the response condition of each load.
To optimize above-mentioned technical proposal, the concrete measure taken further include:
The evaluation index of the aggregate response potential value of above-mentioned Load aggregation quotient institute compass of competency load are as follows:
In formula: ρiTo polymerize the equivalent responding power of quotient i；WiTo polymerize the equivalent response electricity of quotient during active vacancy；Δ t is
The active vacancy time；PiFor load group real-time response power；teFor initial time；tsTo terminate the time.
The calculation method of above-mentioned load group real-time response power are as follows:
In formula: n1For air-conditioning quantity；PAC,iFor the responding power of i-th air-conditioning；n2For water heater quantity；PWH,jFor jth platform
The responding power of water heater；n3For electric car quantity；PEV,kFor the responding power of kth electric car；SiIt (t) is i-th sky
Tune state, obtaining value method be the air-conditioning meet comfort level requirement, and response times be less than specified value when, otherwise value 1 takes
Value is 0；SjIt (t) is jth platform water heater state, obtaining value method is that the water heater meets comfort level requirement, and response times are small
When specified value, value 1, otherwise value is 0；SkIt (t) is kth platform electronic vehicle attitude, obtaining value method is the electric vehicle
Meet comfort level requirement, and response times be less than specified value when, value 1, otherwise value be 0.
Power shortage amount is distributed to different loads in proportion according to aggregate response potential value and gathered by above-mentioned control centre
Close the calculation formula of quotient are as follows:
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；Δ P is electric network active vacancy amount；ρiFor i-th of load
It polymerize the equivalent responding ability of quotient；M is Load aggregation quotient amount.
Above-mentioned each Load aggregation quotient determines the response condition of each load, objective function with totle drilling cost minimum are as follows:
In formula: a is the compensation for participating in demand response；SiFor the responsive state of lower i-th air-conditioning of a certain Load aggregation quotient；Sj
For the responsive state of jth platform water heater under a certain Load aggregation quotient；SkFor the sound of kth electric car under a certain Load aggregation quotient
Answer state；PAC,iFor the responding power of i-th air-conditioning；PWH,jFor the responding power of jth platform water heater；PEV,kFor the electronic vapour of kth
The responding power of vehicle；IAC,iComfort value after being normalized for i-th air-conditioning；IWH,jIt is comfortable after the normalization of jth platform water heater
Value；IEV,kFor the comfort value after the normalization of kth electric car；n1For air-conditioning quantity；n2For water heater quantity；n3For electronic vapour
Vehicle quantity.
Above-mentioned lower layer's strategy will meet following constraint condition:
1) intelligent load meets power shortage:
α·ΔPi≤PAg,i≤β·ΔPi
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；PAg,iIt is mentioned for load intelligent under i-th of Load aggregation quotient
The responding power of confession；α and β is constant coefficient.
2) response times constrain:
0≤N≤2
In formula: N is response times；
3) response time constrains:
t≤tr
In formula: trIt can response time for load.
The invention has the following advantages:
At present for the load control system under normal mode, the prior art assumes that active response Load aggregation potentiality are fixed mostly
Value, and have ignored the time variation of extensive active Load aggregation response potentiality.In fact, the response potentiality of user side active load
It is the physical characteristic with different load and changes.In other words, when power grid emergent power vacancy needs such active load to carry out
When response, the superposition of not all load power is exactly whole response potentiality.It is provided by the invention based on response potentiality
The aggregate response potential value of different load polymerization quotient institute compass of competency load is collected by load bilayer control method, control centre, and
Different Load aggregation quotient is given according to potential value proportional assignment power shortage amount, each Load aggregation quotient receives under control centre
The demand response amount of hair determines the response condition of each family's load to dispatch the minimum target of cost.Can have in power grid
When function vacancy, demand response is participated in flexible load and realizes precisely scheduling, while guaranteeing user satisfaction, electricity is effectively reduced
Net dispatches cost and power networks risk, is precisely controlled strategy with great to formulation load participation electric network active vacancy response
Directive significance.
Detailed description of the invention
Fig. 1 is flow diagram of the invention；
Fig. 2 is that different load polymerize quotient's three classes load proportion map in the embodiment of the present invention；
Fig. 3 is the aggregate response potential value figure of different load polymerization quotient in the embodiment of the present invention；
Fig. 4 is allocation result figure at the middle and upper levels of the embodiment of the present invention；
Fig. 5 is the 10 electric car response results figures for the Load aggregation quotient that number is No.1 in the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing.
A kind of load bilayer control method based on response potentiality of the invention, participates in demand response based on intelligent load
Polymerization potential formulates the double-deck control strategy including upper layer policy and lower layer's strategy, comprising the following steps:
Step 1: Load aggregation quotient can obtain the information that single load provides from the load group administered, thus
The analysis of load group responding ability is intensively carried out, and the aggregate response potential value of institute's compass of competency load is reported to control
Center；
Step 2: in upper layer policy, network load operation information is collected by control centre and different load polymerization quotient is managed
The aggregate response potential value of area under one's jurisdiction domain load, if there is urgent power shortage, control centre according to aggregate response potential value press than
Power shortage amount is distributed to different Load aggregation quotient by example；
Step 3: in lower layer's strategy, each Load aggregation quotient receives the demand response amount that control centre issues, with assembly
This minimum determines the response condition of each load.
In embodiment, the evaluation index of the aggregate response potential value of Load aggregation quotient institute compass of competency load are as follows:
In formula: ρiTo polymerize the equivalent responding power of quotient i；WiTo polymerize the equivalent response electricity of quotient during active vacancy；Δ t is
The active vacancy time；PiFor load group real-time response power；teFor initial time；tsTo terminate the time.
In embodiment, the calculation method of load group real-time response power are as follows:
In embodiment, n1For air-conditioning quantity；PAC,iFor the responding power of i-th air-conditioning；n2For water heater quantity；PWH,jFor
The responding power of jth platform water heater；n3For electric car quantity；PEV,kFor the responding power of kth electric car；SiIt (t) is the
I platform air-conditioning state, obtaining value method be the air-conditioning meet comfort level requirement, and response times be less than specified value when, value 1,
Otherwise value is 0；SjIt (t) is jth platform water heater state, obtaining value method is that the water heater meets comfort level requirement, and responds
When number is less than specified value, value 1, otherwise value is 0；SkIt (t) is kth platform electronic vehicle attitude, obtaining value method is should
Electric vehicle meet comfort level requirement, and response times be less than specified value when, value 1, otherwise value be 0.
In embodiment, power shortage amount is distributed to different loads according to aggregate response potential value by control centre in proportion
It polymerize the calculation formula of quotient are as follows:
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；Δ P is electric network active vacancy amount；ρiFor i-th of load
It polymerize the equivalent responding ability of quotient；M is Load aggregation quotient amount.
In embodiment, each Load aggregation quotient determines the response condition of each load, objective function with totle drilling cost minimum are as follows:
In formula: a is the compensation for participating in demand response；SiFor the responsive state of lower i-th air-conditioning of a certain Load aggregation quotient；Sj
For the responsive state of jth platform water heater under a certain Load aggregation quotient；SkFor the sound of kth electric car under a certain Load aggregation quotient
Answer state；PAC,iFor the responding power of i-th air-conditioning；PWH,jFor the responding power of jth platform water heater；PEV,kFor the electronic vapour of kth
The responding power of vehicle；IAC,iComfort value after being normalized for i-th air-conditioning；IWH,jIt is comfortable after the normalization of jth platform water heater
Value；IEV,kFor the comfort value after the normalization of kth electric car；n1For air-conditioning quantity；n2For water heater quantity；n3For electronic vapour
Vehicle quantity.
In embodiment, lower layer's strategy will meet following constraint condition:
1) intelligent load meets power shortage:
α·ΔPi≤PAg,i≤β·ΔPi
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；PAg,iIt is mentioned for load intelligent under i-th of Load aggregation quotient
The responding power of confession；α and β is constant coefficient.
2) response times constrain:
0≤N≤2
In formula: N is response times；
3) response time constrains:
t≤tr
In formula: trIt can response time for load.
The present embodiment using 10 Load aggregation quotient as research object for be illustrated.Each Load aggregation quotient respectively manages
Air-conditioning, water heater, electric car these three types load, specific load specific gravity are shown in Fig. 2.In the contract that user and polymerization quotient sign
Regulation: response times are 2 times, and comfort level section is set as air-conditioning (23 DEG C, 29 DEG C), water heater (40 DEG C, 50 DEG C), electric car
(0.75,0.90).It is now assumed that occurring the power shortage of 3MW in power grid, the duration of the failure is 15min, in the period
The aggregate response potential value of interior 10 polymerization quotient is as shown in Figure 3.
In the allocation strategy of upper layer, the load responding amount of each polymerization quotient under the power scene, knot are calculated first
Fruit is as shown in Figure 4.
In lower layer's strategy, each Load aggregation quotient is necessary to ensure that the family's load responded in per minute can satisfy upper layer
The response quautity of distribution, while needing to consider the operation characteristic and operating status of different load.Fig. 5 reflects users'comfort pair
Load participates in the influence of active response.
As shown in Figure 5, electric car a, b, c and f is responded always in the 15min of active vacancy, because of state-of-charge
(State of Charge, SOC) value is in higher status；Electric car e and g is simultaneously stopped response after responding 9min, electricity
Electrical automobile d, h and i have responded 3min, 8min and 2min respectively, and electric car j is never responded, this is because its is initial
SOC value is very low, does not also meet the minimum SOC threshold value of user's trip even if charging always in 15min.
Above-described embodiment is only the preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill of the art
For personnel, without departing from the principle of the present invention, several improvement and equivalent replacement can also be made, these are to the present invention
Claim improve with the technical solution after equivalent replacement, each fall within protection scope of the present invention.
The above is only the preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-described embodiment,
All technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
For those of ordinary skill, several improvements and modifications without departing from the principles of the present invention should be regarded as protection of the invention
Range.
Claims (6)
1. a kind of load bilayer control method based on response potentiality, it is characterized in that: participating in demand response based on intelligent load
Polymerization potential formulates the double-deck control strategy including upper layer policy and lower layer's strategy, comprising the following steps:
Step 1: Load aggregation quotient can obtain the information that single load provides from the load group administered, to concentrate
Ground carries out the analysis of load group responding ability, and the aggregate response potential value of institute's compass of competency load is reported in control
The heart；
Step 2: in upper layer policy, network load operation information is collected by control centre and different load polymerize quotient institute administrative area
The aggregate response potential value of domain load, if there is urgent power shortage, control centre's foundation aggregate response potential value in proportion will
Power shortage amount distributes to different Load aggregation quotient；
Step 3: in lower layer's strategy, each Load aggregation quotient receives the demand response amount that control centre issues, most with totle drilling cost
The response condition of the small each load of determination.
2. a kind of load bilayer control method based on response potentiality according to claim 1, it is characterized in that: step 1 institute
The evaluation index of the aggregate response potential value for the Load aggregation quotient institute compass of competency load stated are as follows:
In formula: ρiTo polymerize the equivalent responding power of quotient i；WiTo polymerize the equivalent response electricity of quotient during active vacancy；Δ t is active
The vacancy time；PiFor load group real-time response power；teFor initial time；tsTo terminate the time.
3. a kind of load bilayer control method based on response potentiality according to claim 2, it is characterized in that: described is negative
The calculation method of lotus group's real-time response power are as follows:
In formula: n1For air-conditioning quantity；PAC,iFor the responding power of i-th air-conditioning；n2For water heater quantity；PWH,jFor jth platform hot water
The responding power of device；n3For electric car quantity；PEV,kFor the responding power of kth electric car；SiIt (t) is i-th air-conditioning shape
State, obtaining value method be the air-conditioning meet comfort level requirement, and response times be less than specified value when, value 1, otherwise value be
0；SjIt (t) is jth platform water heater state, obtaining value method is that the water heater meets comfort level requirement, and response times are less than rule
When definite value, value 1, otherwise value is 0；SkIt (t) is kth platform electronic vehicle attitude, obtaining value method is electric vehicle satisfaction
Comfort level requirement, and response times be less than specified value when, value 1, otherwise value be 0.
4. a kind of load bilayer control method based on response potentiality according to claim 1, it is characterized in that: step 2 institute
Power shortage amount is distributed to the calculating of different Load aggregation quotient according to aggregate response potential value by the control centre stated in proportion
Formula are as follows:
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；Δ P is electric network active vacancy amount；ρiFor i-th of Load aggregation
The equivalent responding ability of quotient；M is Load aggregation quotient amount.
5. a kind of load bilayer control method based on response potentiality according to claim 1, it is characterized in that: step 3 institute
Each Load aggregation quotient stated determines the response condition of each load, objective function with totle drilling cost minimum are as follows:
In formula: a is the compensation for participating in demand response；SiFor the responsive state of lower i-th air-conditioning of a certain Load aggregation quotient；SjFor certain
The responsive state of jth platform water heater under one Load aggregation quotient；SkFor the response shape of kth electric car under a certain Load aggregation quotient
State；PAC,iFor the responding power of i-th air-conditioning；PWH,jFor the responding power of jth platform water heater；PEV,kFor kth electric car
Responding power；IAC,iComfort value after being normalized for i-th air-conditioning；IWH,jFor the comfort value after the normalization of jth platform water heater；
IEV,kFor the comfort value after the normalization of kth electric car；n1For air-conditioning quantity；n2For water heater quantity；n3For electric car number
Amount.
6. a kind of load bilayer control method based on response potentiality according to claim 1, it is characterized in that: step 3 institute
The lower layer's strategy stated will meet following constraint condition:
1) intelligent load meets power shortage:
α·ΔPi≤PAg,i≤β·ΔPi
In formula: Δ PiFor i-th of Load aggregation quotient's load responding amount；PAg,iIt is provided for load intelligent under i-th of Load aggregation quotient
Responding power；α and β is constant coefficient；
2) response times constrain:
0≤N≤2
In formula: N is response times；
3) response time constrains:
t≤tr
In formula: trIt can response time for load.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112594873A (en) * | 2020-12-14 | 2021-04-02 | 山东建筑大学 | Building central air conditioner demand response control method and system |
| CN115481921A (en) * | 2022-09-30 | 2022-12-16 | 北京华电能源互联网研究院有限公司 | Electric vehicle load aggregation method and system based on standby auxiliary service |
| CN115857364A (en) * | 2022-10-17 | 2023-03-28 | 东南大学溧阳研究院 | Load comfort optimal regulation and control method based on multi-agent mechanism |
-
2018
- 2018-08-21 CN CN201810959465.8A patent/CN109066702A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112594873A (en) * | 2020-12-14 | 2021-04-02 | 山东建筑大学 | Building central air conditioner demand response control method and system |
| CN115481921A (en) * | 2022-09-30 | 2022-12-16 | 北京华电能源互联网研究院有限公司 | Electric vehicle load aggregation method and system based on standby auxiliary service |
| CN115857364A (en) * | 2022-10-17 | 2023-03-28 | 东南大学溧阳研究院 | Load comfort optimal regulation and control method based on multi-agent mechanism |
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