CN114050612B - Warm ventilation and air conditioning load robust aggregation method and device participating in frequency modulation service - Google Patents
Warm ventilation and air conditioning load robust aggregation method and device participating in frequency modulation service Download PDFInfo
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- 238000009423 ventilation Methods 0.000 title claims abstract description 48
- 238000004378 air conditioning Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000002776 aggregation Effects 0.000 title claims abstract description 26
- 238000004220 aggregation Methods 0.000 title claims abstract description 26
- 238000010438 heat treatment Methods 0.000 claims abstract description 46
- 238000003860 storage Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 8
- 230000004931 aggregating effect Effects 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 3
- 230000005284 excitation Effects 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 230000004044 response Effects 0.000 description 4
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- 229910052799 carbon Inorganic materials 0.000 description 3
- 230000006641 stabilisation Effects 0.000 description 3
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- 230000006872 improvement Effects 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
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- 238000004146 energy storage Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000006386 neutralization reaction Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000006116 polymerization reaction Methods 0.000 description 1
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/10—The network having a local or delimited stationary reach
- H02J2310/12—The local stationary network supplying a household or a building
- H02J2310/14—The load or loads being home appliances
-
- 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
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- 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
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- 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
-
- 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
- Y04S20/244—Home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units
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- Engineering & Computer Science (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a robust aggregation method and a device for heating ventilation and air conditioning loads participating in frequency modulation service, wherein the method comprises the following steps: when the operation disturbance of the power grid system is detected, the system frequency is obtained and primary frequency deviation is calculated; acquiring primary frequency modulation reserve capacity based on a load curve, and performing primary frequency modulation according to the primary frequency modulation reserve capacity and primary frequency deviation; when the system frequency reaches a new steady state after primary frequency modulation, acquiring the system frequency and calculating a secondary frequency deviation; acquiring a load control target of secondary frequency modulation according to the maximum value of secondary frequency modulation reserve capacity and secondary frequency deviation; selecting a current secondary frequency modulation user based on a risk avoidance dobby theory; acquiring actual aggregate power, and performing secondary frequency modulation by taking the minimum aggregate deviation as a target based on the actual aggregate power and a load control target of the secondary frequency modulation; the invention provides a guarantee for the frequency stability of the system based on the defect of the frequency modulation scheme of the user side heating ventilation air conditioner on the fatigue problem of the user.
Description
Technical Field
The invention relates to a robust aggregation method and device for heating ventilation and air conditioning loads participating in frequency modulation service, and belongs to the technical field of power systems.
Background
In the energy revolution background of traction with the national strategic carbon reduction targets of carbon peak, carbon neutralization, a great deal of access of renewable energy sources becomes a mainstream development trend. Along with the continuous improvement of the permeability of renewable energy sources, the power generation resources with randomness and intermittence gradually replace the traditional power generator, and the method brings great challenges to the frequency stabilization of the power system.
Along with the gradual replacement of the conventional unit by the new energy unit, the inertia of the power system tends to decrease, and the utilization of the resource at the demand side to strengthen the stability of the system is imperative. Electric vehicles on the demand side, energy storage, temperature-controlled loads, and the like are all considered as important resources that can provide reliable frequency adjustment services, wherein the resident load occupies a large proportion of the demand side resources. Through appropriate aggregate control strategies, electric Water Heaters (EWH), heating Ventilation Air Conditioning (HVAC), etc. can all be involved in providing frequency modulated services.
The demand response item typically allows the user to choose not to participate in the response after receiving the control signal, and the reason for the user to opt out is various, such as being affected by environmental factors and changes in personal electricity usage behavior. Because the response behavior of the user is uncertain, the actual aggregation effect may be different from the power grid scheduling target, so that reliable and stable frequency adjustment is difficult to provide, a reasonable user selection strategy is set on top to ensure the reliability of frequency modulation, and the improvement of the user friendliness of the demand response project is of great significance.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a heating ventilation and air conditioning load robust aggregation method and device for participating in frequency modulation service, solves the technical problem of the defect of the current frequency adjustment measure based on the resource at the demand side in terms of user friendliness, improves the reliability of frequency adjustment, and provides technical support for the frequency stabilization of an electric power system.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a robust aggregation method for heating ventilation and air conditioning loads participating in a frequency modulation service, including:
When the operation disturbance of the power grid system is detected, the system frequency is obtained and primary frequency deviation is calculated;
When the primary frequency deviation is larger than a preset primary frequency modulation safety threshold value, the method comprises the following steps: aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
Acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and the primary frequency deviation, and performing primary frequency modulation based on the primary frequency modulation load control target;
When the system frequency reaches a new steady state after primary frequency modulation, acquiring the system frequency and calculating a secondary frequency deviation;
when the secondary frequency deviation is larger than a preset secondary frequency modulation safety threshold, the method comprises the following steps: acquiring a secondary frequency modulation reserve capacity maximum value based on a potential participation secondary frequency modulation user, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
Acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and transmitting a load control target of the secondary frequency modulation to the current secondary frequency modulation user;
And acquiring the actual aggregate power, and performing secondary frequency modulation with the aim of minimizing aggregate deviation based on the load control target of the actual aggregate power and the secondary frequency modulation.
Optionally, when the primary frequency deviation is smaller than a preset primary frequency modulation safety threshold or the secondary frequency modulation deviation is smaller than a preset secondary frequency modulation safety threshold, the power grid system operates stably and continues to detect.
Optionally, the grid system operation disturbance includes: the system load suddenly cuts or increases, and the generator capacity is excessive or insufficient.
Optionally, the first-order ETP model is:
Wherein, C and R are equivalent heat capacity and equivalent thermal resistance respectively, Q is heating ventilation air conditioning power, T in (T) is indoor temperature at T moment, T in (t+Δt) is indoor temperature at t+Δt moment, Δt is moment variation, T out is outdoor temperature, s (T) is on-off state of heating ventilation air conditioning at T moment; simultaneously satisfies:
wherein, T min and T max are respectively a preset minimum value and a maximum value of indoor temperature.
Optionally, the load curve is:
Wherein eta is the performance efficiency of the heating, ventilation and air conditioning, N is the total number of users, s i (t) is the on-off state of the ith user heating, ventilation and air conditioning at the moment t, and Q i is the power of the ith user heating, ventilation and air conditioning.
Optionally, the primary frequency modulation according to the primary frequency modulation reserve capacity and the primary frequency deviation includes:
if the primary frequency deviation is greater than zero, the load control target of primary frequency modulation is as follows:
if the primary frequency deviation is smaller than zero, the load control target of primary frequency modulation is as follows:
Wherein: f max and f min are the upper limit and the lower limit of the preset primary frequency modulation system frequency, t ext and t low are the time when the system frequency reaches the upper limit and the lower limit, f (t) is the system frequency at the time t, and Δf (t) is the system frequency deviation at the time t; k p1 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is larger than zero, and k p2 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is smaller than zero;
Wherein, |Δf m,,PFR | represents the preset maximum frequency deviation in the primary frequency modulation process, and P down (t) and P up (t) are respectively the downward primary frequency modulation reserve capacity and the upward primary frequency modulation reserve capacity at the time t; if the load control target P PFR(t)>Pup (t), P PFR(t)＝min(PPFR(t),Pup (t)), min (·) is a function that takes a minimum value.
Optionally, the obtaining the historical data of the secondary frequency modulation, and selecting the current user participating in the secondary frequency modulation based on the risk avoidance dobby theory includes:
at any time T epsilon T, calculating the sequencing index value of each user at the time T:
Wherein, P i is the output power of the heating, ventilation and air conditioning of the ith user, The i-th user t participates in the probability estimation of frequency modulation,For the variance estimation value of the ith user t time participating in frequency modulation, n t,i is the number of times of the ith user t time participating in secondary frequency modulation, and ρ 1 and ρ 2 are both calculated index value constants;
The users are arranged in descending order according to the index value v t,i, the first m users are taken, and whether m meets the requirement or not is judged:
if yes, the first m users are used as the current secondary frequency modulation users; if not, all users are used as the current secondary frequency modulation users;
wherein D aim,t is the load control target of the secondary frequency modulation at the moment of the user t.
Optionally, the probability estimation valueVariance estimation valueAnd the number n t,i of secondary frequency modulation participation is iteratively updated according to the current secondary frequency modulation participation of the secondary frequency modulation participation user:
nt+1,i＝nt,i+1
wherein X t,i is the excitation compensation quantity formulated according to user feedback after the ith user t participates in secondary frequency modulation.
Optionally, the load control target of the secondary frequency modulation is:
Wherein f - and f + are upper and lower limits of the secondary frequency modulation system frequency, f n is a frequency safety threshold, f (t) is the system frequency at the time t, Δf (t) is the system frequency deviation at the time t, and P st (t) is the secondary frequency modulation reserve capacity potentially participated in the secondary frequency modulation user at the time t;
Wherein, |Deltaf m,SFR | is the preset maximum frequency deviation in the secondary frequency modulation process.
Optionally, the load control objective based on the actual aggregate power and the secondary frequency modulation is to minimize aggregate deviation:
minE(Dagg,t-Daim,t)2
Wherein D agg,t is the actual aggregate deviation, and D aim,t is the load control target of secondary frequency modulation.
In a second aspect, the invention provides a heating ventilation and air conditioning load robust aggregation device participating in frequency modulation service, which comprises a processor and a storage medium;
The storage medium is used for storing instructions;
the processor is operative according to the instructions to perform the steps of the method according to any one of the preceding claims.
In a third aspect, the present invention provides a robust aggregation system for heating ventilation and air conditioning loads involved in frequency modulation services, the system comprising:
The primary frequency deviation acquisition module is used for acquiring the system frequency and calculating primary frequency deviation when the operation disturbance of the power grid system is detected;
The primary frequency modulation reserve capacity acquisition module is used for, if primary frequency deviation is larger than a preset primary frequency modulation safety threshold value: aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
The primary frequency modulation module is used for acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and the primary frequency deviation and carrying out primary frequency modulation based on the primary frequency modulation load control target;
the secondary frequency deviation acquisition module is used for acquiring the system frequency and calculating the secondary frequency deviation when the system frequency reaches a new steady state after primary frequency modulation;
The secondary frequency modulation load control target acquisition module is used for, if the secondary frequency modulation deviation is larger than a preset secondary frequency modulation safety threshold value: acquiring a secondary frequency modulation reserve capacity maximum value based on a potential participation secondary frequency modulation user, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
The secondary frequency modulation load control target sending module is used for acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and sending the secondary frequency modulation load control target to the current secondary frequency modulation user;
and the secondary frequency modulation module is used for acquiring the actual aggregate power and carrying out secondary frequency modulation by taking the minimum aggregate deviation as a target based on the load control target of the actual aggregate power and the secondary frequency modulation.
Optionally, the system further includes a detection module, configured to, when the primary frequency deviation is smaller than a preset primary frequency modulation safety threshold or the secondary frequency modulation deviation is smaller than a preset secondary frequency modulation safety threshold,: the power grid system runs stably and continuously detects.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the method of any of the preceding claims.
Compared with the prior art, the invention has the beneficial effects that:
According to the heating ventilation and air conditioning load robust aggregation method and device for participating in the frequency modulation service, aiming at the problem of whether users participate in secondary frequency modulation or not, a dobby strategy is avoided based on risks, users with higher expectations for participating in the frequency modulation instruction are selected to send instructions by learning the electricity utilization behaviors of the users, the selection number of the users is effectively reduced, the withdrawal rate of the users is reduced, so that the problem of user fatigue caused by the frequency modulation instruction is avoided, meanwhile, the defect of the current frequency adjustment measure based on the resources at the demand side in terms of user friendliness is overcome, the reliability of frequency adjustment is improved, and technical support is provided for the frequency stabilization of an electric power system.
Drawings
Fig. 1 is a flowchart of a robust aggregation method of heating ventilation and air conditioning loads participating in a frequency modulation service according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a first-order ETP model of a user side heating ventilation air conditioning load provided by an embodiment of the invention;
fig. 3 is a schematic diagram of a load curve provided by an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
as shown in fig. 1, the embodiment of the invention provides a robust aggregation method of heating ventilation and air conditioning loads participating in frequency modulation service, which comprises the following steps:
(1) When the operation disturbance of the power grid system is detected, the system frequency is obtained and primary frequency deviation is calculated; the grid system operation disturbance includes: the system load suddenly cuts or increases, and the generator capacity is excessive or insufficient.
(2) Judging whether the primary frequency deviation is larger than a preset primary frequency modulation safety threshold value or not;
(3) If yes, aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
The first-order ETP model is:
Wherein, C and R are equivalent heat capacity and equivalent thermal resistance respectively, Q is heating ventilation air conditioning power, T in (T) is indoor temperature at T moment, T in (t+Δt) is indoor temperature at t+Δt moment, Δt is moment variation, T out is outdoor temperature, s (T) is on-off state of heating ventilation air conditioning at T moment; simultaneously satisfies:
Wherein, T min and T max are respectively a preset indoor temperature minimum value and a preset indoor temperature maximum value; as shown in fig. 2, T DB＝Tmax-Tmin,tON and T OFF in the figure are time periods of on-off states of the hvac, respectively, and τ is a working period of the hvac;
the load profile after polymerization is:
Wherein eta is the performance efficiency of the heating, ventilation and air conditioning, N is the total number of users, s i (t) is the on-off state of the ith user heating, ventilation and air conditioning at the moment t, and Q i is the power of the ith user heating, ventilation and air conditioning; as shown in fig. 3, according to the curve of P (t), the reserve capacity P down (t) of the downward primary frequency modulation and the reserve capacity P up(t),Pmax of the upward primary frequency modulation can be obtained as maximum capacities, and can be obtained by the sum of all the heating, ventilation and air conditioning powers of the users.
In the present embodiment, the relevant parameters are set as: r=2 ℃/kW; q=6.25 kW; c=2.0 kw·h/°c; t max＝24.5℃;Tmin = 23.5 ℃; η=2.5.
(4) Acquiring primary frequency modulation reserve capacity based on a load curve, acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and primary frequency deviation, and performing primary frequency modulation based on the primary frequency modulation load control target;
if the primary frequency deviation is greater than zero, the load control target of primary frequency modulation is as follows:
if the primary frequency deviation is smaller than zero, the load control target of primary frequency modulation is as follows:
Wherein: f max and f min are the upper limit and the lower limit of the preset primary frequency modulation system frequency, t ext and t low are the time when the system frequency reaches the upper limit and the lower limit, f (t) is the system frequency at the time t, and Δf (t) is the system frequency deviation at the time t; k p1 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is larger than zero, and k p2 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is smaller than zero;
Wherein, |Δf m,,PFR | represents the preset maximum frequency deviation in the primary frequency modulation process, and P down (t) and P up (t) are respectively the downward primary frequency modulation reserve capacity and the upward primary frequency modulation reserve capacity at the time t; if the load control target P PFR(t)>Pup (t), P PFR(t)＝min(PPFR(t),Pup (t)), min (·) is a function that takes a minimum value.
(5) If not, the power grid system operates stably and continuously detects.
(6) And when the system frequency reaches a new steady state after primary frequency modulation, acquiring the system frequency and calculating a secondary frequency deviation.
(7) Judging whether the secondary frequency deviation is larger than a preset secondary frequency modulation safety threshold value.
(8) If yes, acquiring a secondary frequency modulation reserve capacity maximum value based on the potential participation secondary frequency modulation users, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
the load control targets of the secondary frequency modulation are as follows:
Wherein f - and f + are upper and lower limits of the secondary frequency modulation system frequency, f n is a frequency safety threshold, f (t) is the system frequency at the time t, Δf (t) is the system frequency deviation at the time t, and P st (t) is the secondary frequency modulation reserve capacity potentially participated in the secondary frequency modulation user at the time t;
Wherein, |Deltaf m,SFR | is the preset maximum frequency deviation in the secondary frequency modulation process.
(9) Acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and transmitting a load control target of the secondary frequency modulation to the current secondary frequency modulation user;
at any time T epsilon T, calculating the sequencing index value of each user at the time T:
Wherein, P i is the output power of the heating, ventilation and air conditioning of the ith user, The i-th user t participates in the probability estimation of frequency modulation,For the variance estimation value of the ith user t time participating in frequency modulation, n t,i is the number of times of the ith user t time participating in secondary frequency modulation, and ρ 1 and ρ 2 are both calculated index value constants;
The users are arranged in descending order according to the index value v t,i, the first m users are taken, and whether m meets the requirement or not is judged:
if yes, the first m users are used as the current secondary frequency modulation users; if not, all users are used as the current secondary frequency modulation users;
wherein D aim,t is the load control target of the secondary frequency modulation at the moment of the user t.
Wherein the probability estimateVariance estimation valueAnd initializing and acquiring an initial value of the secondary frequency modulation frequency n t,i, and performing iterative updating according to the current secondary frequency modulation participation of the secondary frequency modulation user:
nt+1,i＝nt,i+1
wherein X t,i is the excitation compensation quantity formulated according to user feedback after the ith user t participates in secondary frequency modulation.
(10) Acquiring actual aggregate power (the actual aggregate power is formulated by a load aggregator according to the self situation), and performing secondary frequency modulation by taking the minimum aggregate deviation as a target based on the load control target of the actual aggregate power and the secondary frequency modulation;
minE(Dagg,t-Daim,t)2
Wherein D agg,t is the actual aggregate deviation, and D aim,t is the load control target of secondary frequency modulation.
(11) If not, the power grid system operates stably and continuously detects.
Embodiment two:
the embodiment of the invention provides a heating ventilation and air conditioning load robust aggregation device participating in frequency modulation service, which comprises a processor and a storage medium;
The storage medium is used for storing instructions;
The processor is operative according to instructions to perform steps according to any one of the methods described above.
Embodiment III:
the embodiment of the invention provides a heating ventilation air conditioning load robust aggregation system participating in frequency modulation service, which comprises the following components:
The primary frequency deviation acquisition module is used for acquiring the system frequency and calculating primary frequency deviation when the operation disturbance of the power grid system is detected;
The primary frequency modulation reserve capacity acquisition module is used for, if primary frequency deviation is larger than a preset primary frequency modulation safety threshold value: aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
The primary frequency modulation module is used for acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and the primary frequency deviation and carrying out primary frequency modulation based on the primary frequency modulation load control target;
the secondary frequency deviation acquisition module is used for acquiring the system frequency and calculating the secondary frequency deviation when the system frequency reaches a new steady state after primary frequency modulation;
The secondary frequency modulation load control target acquisition module is used for, if the secondary frequency modulation deviation is larger than a preset secondary frequency modulation safety threshold value: acquiring a secondary frequency modulation reserve capacity maximum value based on a potential participation secondary frequency modulation user, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
The secondary frequency modulation load control target sending module is used for acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and sending the secondary frequency modulation load control target to the current secondary frequency modulation user;
The secondary frequency modulation module is used for acquiring actual aggregate power and carrying out secondary frequency modulation by taking the minimum aggregate deviation as a target based on the actual aggregate power and a load control target of the secondary frequency modulation;
The detection module is configured to, when the primary frequency deviation is smaller than a preset primary frequency modulation safety threshold or the secondary frequency modulation deviation is smaller than a preset secondary frequency modulation safety threshold,: the power grid system runs stably and continuously detects.
Embodiment four:
An embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of any of the methods described above.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (13)
1. A robust aggregation method for heating ventilation and air conditioning loads involved in a frequency modulation service, comprising:
When the operation disturbance of the power grid system is detected, the system frequency is obtained and primary frequency deviation is calculated;
When the primary frequency deviation is larger than a preset primary frequency modulation safety threshold value, the method comprises the following steps: aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
Acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and the primary frequency deviation, and performing primary frequency modulation based on the primary frequency modulation load control target;
When the system frequency reaches a new steady state after primary frequency modulation, acquiring the system frequency and calculating a secondary frequency deviation;
when the secondary frequency modulation deviation is larger than a preset secondary frequency modulation safety threshold, the method comprises the following steps: acquiring a secondary frequency modulation reserve capacity maximum value based on a potential participation secondary frequency modulation user, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
Acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and transmitting a load control target of the secondary frequency modulation to the current secondary frequency modulation user;
Acquiring actual aggregate power, and performing secondary frequency modulation by taking the minimum aggregate deviation as a target based on the actual aggregate power and a load control target of the secondary frequency modulation;
Wherein, the primary frequency modulation according to primary frequency modulation reserve capacity and primary frequency deviation includes:
if the primary frequency deviation is greater than zero, the load control target of primary frequency modulation is as follows:
if the primary frequency deviation is smaller than zero, the load control target of primary frequency modulation is as follows:
Wherein: f max and f min are the upper limit and the lower limit of the preset primary frequency modulation system frequency, t ext and t low are the time when the system frequency reaches the upper limit and the lower limit, f (t) is the system frequency at the time t, and Δf (t) is the system frequency deviation at the time t; k p1 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is larger than zero, and k p2 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is smaller than zero;
Wherein, |Δf m,,PFR | represents the preset maximum frequency deviation in the primary frequency modulation process, and P down (t) and P up (t) are respectively the downward primary frequency modulation reserve capacity and the upward primary frequency modulation reserve capacity at the time t; if the load control target P PFR(t)>Pup (t), P PFR(t)＝min(PPFR(t),Pup (t)), min (·) is a function that takes a minimum value.
2. The robust aggregation method for heating, ventilation and air conditioning loads involved in frequency modulation service according to claim 1, wherein when the primary frequency deviation is smaller than a preset primary frequency modulation safety threshold or the secondary frequency modulation deviation is smaller than a preset secondary frequency modulation safety threshold, the power grid system is stable in operation and continuously detects.
3. A method of robust aggregation of hvac loads involved in fm services according to claim 1, wherein the grid system operational disturbances include: the system load suddenly cuts or increases, and the generator capacity is excessive or insufficient.
4. The robust aggregation method of heating ventilation and air conditioning load participating in frequency modulation service according to claim 1, wherein the first order ETP model is:
Wherein, C and R are equivalent heat capacity and equivalent thermal resistance respectively, Q is heating ventilation air conditioning power, T in (T) is indoor temperature at T moment, T in (t+Δt) is indoor temperature at t+Δt moment, Δt is moment variation, T out is outdoor temperature, s (T) is on-off state of heating ventilation air conditioning at T moment; simultaneously satisfies:
wherein, T min and T max are respectively a preset minimum value and a maximum value of indoor temperature.
5. The robust aggregation method of hvac load involved in fm services of claim 1, wherein the load curve is:
Wherein eta is the performance efficiency of the heating, ventilation and air conditioning, N is the total number of users, s i (t) is the on-off state of the ith user heating, ventilation and air conditioning at the moment t, and Q i is the power of the ith user heating, ventilation and air conditioning.
6. The robust aggregation method for heating, ventilation and air conditioning loads involved in a frequency modulation service according to claim 1, wherein the obtaining historical data of secondary frequency modulation and selecting a currently involved secondary frequency modulation user based on a risk avoidance dobby theory comprises:
at any time T epsilon T, calculating the sequencing index value of each user at the time T:
Wherein, P i is the output power of the heating, ventilation and air conditioning of the ith user, The i-th user t participates in the probability estimation of frequency modulation,For the variance estimation value of the ith user t time participating in frequency modulation, n t,i is the number of times of the ith user t time participating in secondary frequency modulation, and ρ 1 and ρ 2 are both calculated index value constants;
The users are arranged in descending order according to the index value v t,i, the first m users are taken, and whether m meets the requirement or not is judged:
if yes, the first m users are used as the current secondary frequency modulation users; if not, all users are used as the current secondary frequency modulation users;
wherein D aim,t is the load control target of the secondary frequency modulation at the moment of the user t.
7. A method for robust aggregation of hvac load in a fm service according to claim 6, wherein the probability estimate isVariance estimation valueAnd the number n t,i of secondary frequency modulation participation is iteratively updated according to the current secondary frequency modulation participation of the secondary frequency modulation participation user:
nt+1,i＝nt,i+1
wherein X t,i is the excitation compensation quantity formulated according to user feedback after the ith user t participates in secondary frequency modulation.
8. The robust aggregation method of heating, ventilation and air conditioning loads involved in frequency modulation service according to claim 1, wherein the load control target of the secondary frequency modulation is:
Wherein f-and f + are the upper limit and the lower limit of the secondary frequency modulation system frequency, f n is a frequency safety threshold, f (t) is the system frequency at the time t, Δf (t) is the system frequency deviation at the time t, and P st (t) is the secondary frequency modulation reserve capacity potentially participated in the secondary frequency modulation user at the time t;
Wherein, |Deltaf m,SFR | is the preset maximum frequency deviation in the secondary frequency modulation process.
9. The robust aggregation method of hvac load involved in fm services according to claim 1, wherein the load control objective based on actual aggregate power and secondary fm to minimize aggregate bias is:
minE(Dagg,t-Daim,t)2
Wherein D agg,t is the actual aggregate deviation, and D aim,t is the load control target of secondary frequency modulation.
10. A heating ventilation and air conditioning load robust aggregation device participating in frequency modulation service is characterized by comprising a processor and a storage medium;
The storage medium is used for storing instructions;
the processor being operative according to the instructions to perform the steps of the method according to any one of claims 1-9.
11. A heating ventilation and air conditioning load robust aggregation system for participation in a frequency modulated service, the system comprising:
The primary frequency deviation acquisition module is used for acquiring the system frequency and calculating primary frequency deviation when the operation disturbance of the power grid system is detected;
The primary frequency modulation reserve capacity acquisition module is used for, if primary frequency deviation is larger than a preset primary frequency modulation safety threshold value: aggregating a load curve based on a pre-constructed first-order ETP model of the user side heating ventilation air conditioning load, and acquiring primary frequency modulation reserve capacity based on the load curve;
The primary frequency modulation module is used for acquiring a primary frequency modulation load control target according to the primary frequency modulation reserve capacity and the primary frequency deviation and carrying out primary frequency modulation based on the primary frequency modulation load control target;
the secondary frequency deviation acquisition module is used for acquiring the system frequency and calculating the secondary frequency deviation when the system frequency reaches a new steady state after primary frequency modulation;
The secondary frequency modulation load control target acquisition module is used for, if the secondary frequency modulation deviation is larger than a preset secondary frequency modulation safety threshold value: acquiring a secondary frequency modulation reserve capacity maximum value based on a potential participation secondary frequency modulation user, and acquiring a secondary frequency modulation load control target according to the secondary frequency modulation reserve capacity maximum value and a secondary frequency deviation;
The secondary frequency modulation load control target sending module is used for acquiring historical data of secondary frequency modulation, selecting a current secondary frequency modulation user based on a risk avoidance dobby theory, and sending the secondary frequency modulation load control target to the current secondary frequency modulation user;
The secondary frequency modulation module is used for acquiring actual aggregate power and carrying out secondary frequency modulation by taking the minimum aggregate deviation as a target based on the actual aggregate power and a load control target of the secondary frequency modulation;
Wherein, the primary frequency modulation according to primary frequency modulation reserve capacity and primary frequency deviation includes:
if the primary frequency deviation is greater than zero, the load control target of primary frequency modulation is as follows:
if the primary frequency deviation is smaller than zero, the load control target of primary frequency modulation is as follows:
Wherein: f max and f min are the upper limit and the lower limit of the preset primary frequency modulation system frequency, t ext and t low are the time when the system frequency reaches the upper limit and the lower limit, f (t) is the system frequency at the time t, and Δf (t) is the system frequency deviation at the time t; k p1 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is larger than zero, and k p2 (t) is the frequency droop coefficient of the primary frequency modulation when the frequency deviation at the moment t is smaller than zero;
Wherein, |Δf m,,PFR | represents the preset maximum frequency deviation in the primary frequency modulation process, and P down (t) and P up (t) are respectively the downward primary frequency modulation reserve capacity and the upward primary frequency modulation reserve capacity at the time t; if the load control target P PFR(t)>Pup (t), P PFR(t)＝min(PPFR(t),Pup (t)), min (·) is a function that takes a minimum value.
12. The robust aggregation system for hvac load for engagement with fm services of claim 11, further comprising a detection module configured to, when the primary frequency deviation is less than a predetermined primary fm safe threshold or the secondary frequency deviation is less than a predetermined secondary fm safe threshold: the power grid system runs stably and continuously detects.
13. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any one of claims 1-9.
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