CN107425521A - A kind of dynamic aggregation modeling for considering load fluctuation and participation frequency modulation method - Google Patents
A kind of dynamic aggregation modeling for considering load fluctuation and participation frequency modulation method Download PDFInfo
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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
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- 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]
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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Abstract
The invention discloses a kind of dynamic aggregation modeling for considering load fluctuation and participate in frequency modulation method, there is provided various types of loads are docked in abstract synthesis polymerization model, model side, integrate load general character, ignore the load opposite sex；Opposite side docks electric power networks, aggregate load attribute and demand response characteristic under application scenarios needed for directly showing, such as respond capacity, response time, response speed, demand response is by grasping the load structure with analysis system, power consumer can be guided to select the rational electricity consumption time, or use rational way of energy storage, have the function that peak load shifting, cluster analysis can be applied to carry out part throttle characteristics research, constantly system frequency is changed using dynamic aggregation body and carries out dynamic corrections, effective help is provided for power system security stable operation, have a good application prospect.
Description
Technical field
The present invention relates to intelligent grid demand response technical field, and in particular to a kind of dynamic for considering load fluctuation is gathered
Build mould jointly and participate in frequency modulation method.
Background technology
Application demand response technology is one of core technology of intelligent grid, and application demand response technology can be excavated fully
Load side resource, realize the integrated application of resource.At present, a considerable amount of potential demand responses in middle-size and small-size power consumer be present
Resource is not developed, and typical Load Regulation resource includes air-conditioning, refrigerator, electric automobile, energy storage and accumulation of energy etc..These load kinds
Class is numerous, and individual devices power consumption is small, as single air conditioner cooling in summer electrical power is no more than 5kWh.It is more and more huger in face of colony
Greatly, the more and more flexible power consumer of electricity consumption, before Demand Side Response measure is implemented, it is not necessary that be also impossible to each user
Modeling Research is all gone one by one, but they can be compared with the typical user's classification having been acknowledged by the method for cluster,
Go out their part throttle characteristics by that analogy, so as to back-up needs response project implementation, greatly improve operating efficiency.
For power system, the burdened resource scheduling of middle-size and small-size power consumer is difficult, and part throttle characteristics is mixed and disorderly, in order to assist
Adjust using these controllable resources, it is necessary to be polymerize to it and managed.It is necessary to find a kind of abstract synthesis polymerization model, mould
Various types of loads are docked in type side, integrate load general character, ignore the load opposite sex；Opposite side docks electric power networks, directly opens up
Aggregate load attribute and demand response characteristic under application scenarios needed for revealing, such as respond capacity, response time, response speed
Deng.Demand response can guide power consumer to select rational electricity consumption time by grasping and the load structure of analysis system, or
Using rational way of energy storage, have the function that peak load shifting, cluster analysis can be applied to carry out part throttle characteristics research, be current
Need to solve the problems, such as.
The content of the invention
The purpose of the present invention is that the burdened resource for overcoming existing middle-size and small-size power consumer dispatches difficulty, and part throttle characteristics is miscellaneous
Disorderly, the problem of how load is polymerize and managed.The dynamic aggregation modeling and participation of the consideration load fluctuation of the present invention
Frequency modulation method, can apply cluster analysis carry out part throttle characteristics research, constantly system frequency is changed using dynamic aggregation body into
Mobile state amendment, effective help is provided for power system security stable operation, had a good application prospect.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of dynamic aggregation modeling for considering load fluctuation and participation frequency modulation method, it is characterised in that：Including following step
Suddenly,
Step (A), based on the affiliated category of employment of small flexible load, interactive, controllability, the characteristic of randomness, formed
Flexible load universal identification model；
Step (B), based on small flexible load responding time, response speed, the demand response characteristic for responding capacity, formed
Flexible load demand response model；
Step (C), the influent factor based on external environment to Load aggregation, form demand response Context awareness model；
Step (D), consider dynamic aggregation requirement of the different target line for flexible load, establish the polymerization of flexible load general character
Method；
Step (E), the polymerization formed based on different aggregate targets is overall, forms flexible load condensate synthesis mould
Type；
Step (F), consider that condensate participates in power system assistant service requirement, form condensate response capacity-constrained bar
Part；
Step (G), consider that condensate participates in stabilizing the output requirement of distributed power source, forming condensate regulating index will
Ask；
Step (H), the fast response characteristic possessed based on condensate, form flexible load dynamic aggregation model and participate in system
Frequency modulation method.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(A) flexible load universal identification model, is formed, as shown in formula (1) and formula (2),
Load={ loadi|1≤i≤I} (1)
loadi=(Num (t), YD, YC, Ys, YT) (2)
Wherein, Load is the set of various small flexible loads；loadiRepresent the i-th class small flexible load；I is area under one's jurisdiction
Interior small-sized load sum, Num (t) is the number of load t；It is interactive that YD represents load, and load is shown as two-way when YD is 1
Interaction, load is shown as unidirectionally when YD is 0；YC represents load controllability, YCFor 1 when load show as can control, YCFor 0 when bear
Lotus shows as uncontrollable；YSRepresent load randomness, YSFor 1 when load show as randomness, YSFor 0 when load show as really
It is qualitative；YTRepresent load industry type, YTFor 1 when load be industrial load, YTFor 2 when be Commercial Load, YTFor 3 when load be
Resident load, YTFor 4 when be other loads.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(B) flexible load demand response model, is formed, as shown in formula (3) and formula (4),
loadi={ lj|1≤j≤J} (3)
lj=(PN, f (t), g (t), T) and (4)
Wherein, ljFor i class controllable burdens loadiIn single model j, J is controllable burden loadiMiddle model sum, PN are
The load rated capacity；F (t) is the modulating properties curve of the load；G (t) is the load characteristic curve of the load；T is that this is negative
The fastest response time of lotus.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(C) demand response Context awareness model, is formed, as shown in formula (5) and formula (6),
Environ={ environh|1≤h≤H} (6)
environh=(Temp (t), Hum (t), I, XC) (7)
Wherein, Environ is the set of local demand response load local environment；environhFor H type environment category,
Local common H kinds environment category；Temp (t) is this kind of environment environjUnder external temperature；Hum (t) is under this kind of environment
Humidity；I indicates workaday division, and I=0 is nonworkdays, and I=1 is working day；XCFor under the environment for demand response
Responding ability, be divided into 1,2,3, show faint response, medium response, complete response successively.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(D), consider dynamic aggregation requirement of the different target line for flexible load, establish flexible load general character polymerization, including with
Lower step,
(D1), from n flexible load optional k object as initial center；
(D2) be, Euclidean distance according to initial center and the similarity of cluster centre, the similarity, assign them to
Its most like cluster centre cluster；
(D3) cluster centre of obtained new class, is recalculated with average, constantly repeats this process until standard deviation is estimated
Function convergence, according to the difference of application scenarios, the K-means canonical measure functions of selection are also different, as shown in formula (7),
Wherein, E is sample and cluster centre mean square deviation sum；P is a point in the space for represent object；miFor cluster
CiAverage；
(D4), the sample based on time scale and cluster centre mean square deviation sum Et, as shown in formula (8),
Wherein, loadi.lj.T it is a point in the space for represent object；For the cluster based on time scale
Value；ItFor the load load included under the clusteriSum；JtTo cluster body loadiIn single load ljSum；
(D5) sample and cluster centre mean square deviation sum E, based on response capacityP, as shown in formula (9),
Wherein, loadi.lj.f (t) is a point in the space for represent object；For the cluster based on time scale
Average；IPFor the load load included under the clusteriSum；JPTo cluster body loadiIn single load ljSum.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(E) flexible load condensate collective model, is formed, as shown in formula (10) and formula (11),
Aggre={ aggk|1≤k≤K} (10)
aggk=(PN, R (t), T, v) and (11)
Wherein, aggre is the set after similar Load aggregation, and k is the classification number of polymerization, for J load
loadi, aggregate number K≤2lnJ；aggkFor similar Load aggregation；PNFor aggkPolymerization total capacity；R (t) is aggkIt is adjustable
Range of capacity, T are load maximum response time, and v is load average response speed.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：It is if same
Type load polymerize aggk, include load lj(j=1,2,3 ..., jk), for controllable burden (YC=1), each parameter of polymerization model with
Load in condensate has following relation：
Wherein, regulation Potential curves and load characteristic curve after R (t), G (t) respectively polymerization, T=0, v=∞.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(F) condensate response capacity constraints, are formed, as shown in formula (17),
aggk.Pdown≤aggk.PDR≤aggk.PN-aggk.Pcontact (17)
Wherein, aggk.PDRIt is the real response capacity that condensate participates in power system assistant service requirement；aggk.Pcontact
It is the contract capacity being had been sold out in condensate；aggk.PdownIt is by caused by external environment condition and self psychology constraint
Respond capacity-constrained lower limit；aggk.PNFor condensate rated capacity.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(G) requirement of condensate regulating index, is formed, it is desirable to which wind power plant per minute active power fluctuation of the installed capacity less than 30MW should be small
, can be grid-connected in 20%, it is specific as formula (18) and formula (19) are shown,
Wherein, Pw tRepresent the wind power output of t, unit kW, Pw t-1When representing t-1
The wind power output at quarter；aggk.R (t) is the Load Regulation total amount after Load aggregation, is had positive and negative
Number, it is negative when needing reduction plans, when needing to increase load for just.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：Step
(H) fast response characteristic, possessed based on condensate, form flexible load dynamic aggregation model and participate in system frequency modulation method, by
Adjusted in real time in polymeric response characteristic, the changed power of response system primary frequency modulation second level is capable of from frequency modulation performance
It is required that in this manner, the work(frequency characteristic of generator primary frequency modulation is simulated to condensate first, it is then automatic by condensate
Detect the frequency departure of power system and change payload, be embodied in when system frequency declines and reduce or even close and drop
Oligopolymer responds capacity；Increase condensate response capacity when system frequency rises.
The beneficial effects of the invention are as follows：The dynamic aggregation modeling of the consideration load fluctuation of the present invention and participation frequency modulation side
Method, there is provided various types of loads are docked in abstract synthesis polymerization model, model side, integrate load general character, to ignore load different
Property；Opposite side docks electric power networks, directly shows aggregate load attribute and demand response characteristic under required application scenarios,
Capacity, response time, response speed are such as responded, demand response can guide electricity by grasping the load structure with analysis system
Power user selects the rational electricity consumption time, or uses rational way of energy storage, has the function that peak load shifting, can apply cluster
Analysis carries out part throttle characteristics research, and constantly system frequency is changed using dynamic aggregation body and carries out dynamic corrections, is power system
Safe and stable operation provides effective help, has a good application prospect.
Brief description of the drawings
Fig. 1 is the dynamic aggregation modeling of the consideration load fluctuation of the present invention and the flow chart for participating in frequency modulation method；
Fig. 2 is the simulation model figure based on polymeric single region primary frequency modulation of the present invention；
Fig. 3 is the illustraton of model of the condensate FM module of the present invention.
Embodiment
Below in conjunction with Figure of description, the present invention is further illustrated.
As shown in figure 1, dynamic aggregation modeling and the participation frequency modulation method of the consideration load fluctuation of the present invention, including it is following
Step,
Step (A), based on the affiliated category of employment of small flexible load, interactive, controllability, the characteristic of randomness, formed
Flexible load universal identification model, as shown in formula (1) and formula (2),
Load={ loadi|1≤i≤I} (1)
loadi=(Num (t), YD, YC, Ys, YT) (2)
Wherein, Load is the set of various small flexible loads；loadiRepresent the i-th class small flexible load；I is area under one's jurisdiction
Interior small-sized load sum；Num (t) is the number of load t；It is interactive that YD represents load, and load is shown as two-way when YD is 1
Interaction, load is shown as unidirectionally when YD is 0, such as electric automobile is two-way, and air conditioner load is unidirectional；It is controllable that YC represents load
Property, load is shown as can control when YC is 1, and load is shown as uncontrollable when YC is 0, such as air-conditioning is controllable, and wind-powered electricity generation is
It is uncontrollable；YS represents load randomness, and load shows as randomness when YS is 1, and load shows as certainty, example when YS is 0
If air-conditioning is randomness, distributed fuel cell is certainty；YT represents load industry type, and load is that industry is negative when YT is 1
Lotus, it is Commercial Load when YT is 2, load is resident load when YT is 3, is other loads when YT is 4, by taking air-conditioning as an example, air-conditioning
Load identification model be expressed as
loadi=(0,1,1,1/2/3/4)；
Step (B), based on small flexible load responding time, response speed, the demand response characteristic for responding capacity, formed
Flexible load demand response model, as shown in formula (3) and formula (4),
loadi={ lj|1≤j≤J} (3)
lj=(PN, f (t), g (t), T) and (4)
Wherein, ljFor i class controllable burdens loadiIn single model j, J is controllable burden loadiMiddle model sum, PN are
The load rated capacity；F (t) is the modulating properties curve of the load；G (t) is the load characteristic curve of the load；T is that this is negative
The fastest response time of lotus；
Step (C), the influent factor based on external environment to Load aggregation, demand response Context awareness model is formed, born
Polymerization of the environment to load residing for lotus also has a certain impact, for space scale, the close load group in geographical position, outside
The probability density characteristicses of portion's ambient parameter are similar, and the probability density characteristicses of the load group's external environment condition parameter of geographical position farther out
Differ greatly, moreover, the level of enforcement or feedback degree that the loads of different regions encourages for same demand response also have
Difference；For time scale, working day and nonworkdays, the difference of the time such as festivals or holidays also have for the polymerization property of load
Large effect, therefore, forms demand response Context awareness model, as shown in formula (5) and formula (6),
Environ={ environh|1≤h≤H} (6)
environh=(Temp (t), Hum (t), I, XC) (7)
Wherein, Environ is the set of local demand response load local environment；environhFor H type environment category,
Local common H kinds environment category；Temp (t) is this kind of environment environjUnder external temperature；Hum (t) is under this kind of environment
Humidity；I indicates workaday division, and I=0 is nonworkdays, and I=1 is working day；XCFor under the environment for demand response
Responding ability, be divided into 1,2,3, show faint response, medium response, complete response successively；
Step (D), consider dynamic aggregation requirement of the different target line for flexible load, establish the polymerization of flexible load general character
Method, by the similar Load aggregation of regulating characteristic curve together.Obtaining each load ljRegulation elasticity curve f (t) after,
According to the demand of application scenarios or electricity market, automatic cluster is carried out to point of proximity using K-means algorithms, specifically included following
Step,
(D1), from n flexible load optional k object as initial center；
(D2) be, Euclidean distance according to initial center and the similarity of cluster centre, the similarity, assign them to
Its most like cluster centre cluster；
(D3) cluster centre of obtained new class, is recalculated with average, constantly repeats this process until standard deviation is estimated
Function convergence, according to the difference of application scenarios, the K-means canonical measure functions of selection are also different, as shown in formula (7),
Wherein, E is sample and cluster centre mean square deviation sum；P is a point in the space for represent object；miFor cluster
CiAverage；
(D4), the sample based on time scale and cluster centre mean square deviation sum Et, as shown in formula (8),
Wherein, loadi.lj.T it is a point in the space for represent object；For the cluster based on time scale
Value；ItFor the load load included under the clusteriSum；JtTo cluster body loadiIn single load ljSum；
(D5) sample and cluster centre mean square deviation sum E, based on response capacityP, as shown in formula (9),
Wherein, loadi.lj.f (t) is a point in the space for represent object；For the cluster based on time scale
Average；IPFor the load load included under the clusteriSum；JPTo cluster body loadiIn single load ljSum.
Step (E), the polymerization formed based on different aggregate targets is overall, forms flexible load condensate synthesis mould
Type, as shown in formula (10) and formula (11),
Aggre={ aggk|1≤k≤K} (10)
aggk=(PN, R (t), T, v) and (11)
Wherein, aggre is the set after similar Load aggregation, and k is the classification number of polymerization, for J load
loadi, aggregate number K≤2lnJ；aggkFor similar Load aggregation；PNFor aggkPolymerization total capacity；R (t) is aggkIt is adjustable
Range of capacity, T are load maximum response time, and v is load average response speed.
A kind of dynamic aggregation modeling of foregoing consideration load fluctuation and participation frequency modulation method, it is characterised in that：It is if same
Type load polymerize aggk, include load lj(j=1,2,3 ..., jk), for controllable burden (YC=1), each parameter of polymerization model with
Load in condensate has following relation：
Wherein, regulation Potential curves and load characteristic curve after R (t), G (t) respectively polymerization, T=0, v=∞；
Step (F), consider that condensate participates in power system assistant service requirement, form condensate response capacity-constrained bar
Part, as shown in formula (17),
aggk.Pdown≤aggk.PDR≤aggk.PN-aggk.Pcontact (17)
Wherein, aggk.PDRIt is the real response capacity that condensate participates in power system assistant service requirement；aggk.Pcontact
It is the contract capacity being had been sold out in condensate；aggk.PdownIt is by caused by external environment condition and self psychology constraint
Respond capacity-constrained lower limit；aggk.PNFor condensate rated capacity；
Step (G), consider that condensate participates in stabilizing the output requirement of distributed power source, forming condensate regulating index will
Ask, according to State Grid Corporation of China's wind power plant access power system technology regulation, it is desirable to which installed capacity is every less than 30MW wind power plant
Minute active power fluctuation should be less than 20%, can be grid-connected, specific as shown in formula (18) and formula (19),
Wherein, Pw tRepresent the wind power output of t, unit kW, Pw t-1Represent the wind power output at t-1 moment；aggk.R(t)
For the Load Regulation total amount after Load aggregation, there is sign, be negative when needing reduction plans, be when needing and increasing load
Just；
Step (H), the fast response characteristic possessed based on condensate, form flexible load dynamic aggregation model and participate in system
Frequency modulation method, as shown in Figures 2 and 3, because polymeric response characteristic adjusts in real time, it can be responded from frequency modulation performance and be
The changed power requirement for primary frequency modulation second level of uniting, in this manner, simulates generator primary frequency modulation to condensate first
Work(frequency characteristic, then by condensate automatic detection power system frequency departure and change payload, be embodied in when being
System frequency reduces when declining even closes and reduces condensate response capacity；Increase condensate response when system frequency rises to hold
Amount.
The present invention consideration load fluctuation dynamic aggregation modeling and participate in frequency modulation method, first, middle-size and small-size user with
Operator signs a contract, there is provided the response capacity of load, response time, response speed information.(it is difficult to directly obtain for some
The user of response message, such as air conditioner load, it can be believed by gathering the correlation such as preference temperature section, architectural environment of user
Breath, is obtained indirectly), then, in face of the load responding information of magnanimity, with reference to different optimization aims, establish different polymerization moulds
Type f (x1,x2,x3), including using the response time it is polymerization site or to respond capacity as polymerization site, obtains corresponding poly-
Gregarious body；Finally, when power system operator needs to be scheduled to meet a certain frequency modulation or active service load, root
According to the response requirement needed for the assistant service, unified instruction is sent to a certain zoarium of birdsing of the same feather flock together.
In summary, the dynamic aggregation modeling of consideration load fluctuation of the invention and participation frequency modulation method, there is provided abstract
Synthesis polymerization model, model side docks various types of loads, integrates load general character, ignores the load opposite sex；Opposite side pair
Connect electric power networks, directly show needed for aggregate load attribute and demand response characteristic under application scenarios, such as respond capacity,
Response time, response speed, demand response can guide power consumer selection to close by grasping the load structure with analysis system
The electricity consumption time of reason, or rational way of energy storage is used, have the function that peak load shifting, cluster analysis can be applied to carry out load
Characteristic research, constantly system frequency is changed using dynamic aggregation body and carries out dynamic corrections, is power system security stable operation
Effective help is provided, had a good application prospect.
General principle, the main features and advantages of the present invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, the original for simply illustrating the present invention described in above-described embodiment and specification
Reason, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (10)
1. a kind of dynamic aggregation modeling for considering load fluctuation and participation frequency modulation method, it is characterised in that：Comprise the following steps,
Step (A), based on the affiliated category of employment of small flexible load, interactive, controllability, the characteristic of randomness, formed flexible
Load universal identification model；
Step (B), based on small flexible load responding time, response speed, the demand response characteristic for responding capacity, formed flexible
Workload demand response model；
Step (C), the influent factor based on external environment to Load aggregation, form demand response Context awareness model；
Step (D), consider dynamic aggregation requirement of the different target line for flexible load, establish flexible load general character polymerization side
Method；
Step (E), the polymerization formed based on different aggregate targets is overall, forms flexible load condensate collective model；
Step (F), consider that condensate participates in power system assistant service requirement, form condensate response capacity constraints；
Step (G), consider that condensate participates in stabilizing the output requirement of distributed power source, form the requirement of condensate regulating index；
Step (H), the fast response characteristic possessed based on condensate, form flexible load dynamic aggregation model and participate in system frequency modulation
Method.
2. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (A), flexible load universal identification model is formed, as shown in formula (1) and formula (2),
Load={ loadi|1≤i≤I} (1)
loadi=(Num (t), YD, YC, YS, YT) (2)
Wherein, Load is the set of various small flexible loads；loadiRepresent the i-th class small flexible load；I is local small-sized
Load sum；Num (t) is the number of load t；YDIt is interactive to represent load, YDFor 1 when load show as two-way interaction, YD
For 0 when load show as unidirectionally；YCRepresent load controllability, YCFor 1 when load show as can control, YCFor 0 when load show as
It is uncontrollable；YSRepresent load randomness, YSFor 1 when load show as randomness, YSFor 0 when load show as certainty；YTGeneration
Table load industry type, YTFor 1 when load be industrial load, YTFor 2 when be Commercial Load, YTFor 3 when load be resident load,
YTFor 4 when be other loads.
3. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (B), flexible load demand response model is formed, as shown in formula (3) and formula (4),
loadi={ lj|1≤j≤J} (3)
lj=(PN, f (t), g (t), T) and (4)
Wherein, ljFor i class controllable burdens loadiIn single model j, J is controllable burden loadiMiddle model sum, PNIt is negative for this
Lotus rated capacity；F (t) is the modulating properties curve of the load；G (t) is the load characteristic curve of the load；T is the load
The fastest response time.
4. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (C), demand response Context awareness model is formed, as shown in formula (5) and formula (6),
Environ={ environh|1≤h≤H} (6)
environh=(Temp (t), Hum (t), I, XC) (7)
Wherein, Environ is the set of local demand response load local environment；environhFor H type environment category, area under one's jurisdiction
Interior common H kinds environment category；Temp (t) is this kind of environment environjUnder external temperature；Hum (t) is wet under this kind of environment
Degree；I indicates workaday division, and I=0 is nonworkdays, and I=1 is working day；XCFor the sound under the environment for demand response
Should be able to power, be divided into 1,2,3, show faint response, medium response, complete response successively.
5. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (D), consider dynamic aggregation requirement of the different target line for flexible load, establish the polymerization of flexible load general character
Method, comprise the following steps,
(D1), from n flexible load optional k object as initial center；
(D2) it is, Euclidean distance according to initial center and the similarity of cluster centre, the similarity, assigns them to it most
Similar cluster centre cluster；
(D3) cluster centre of obtained new class, is recalculated with average, constantly repeats this process until standard deviation measure function
Convergence, according to the difference of application scenarios, the K-means canonical measure functions of selection are also different, as shown in formula (7),
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</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, E is sample and cluster centre mean square deviation sum；P is a point in the space for represent object；miTo cluster Ci
Value；
(D4), the sample based on time scale and cluster centre mean square deviation sum Et, as shown in formula (8),
<mrow>
<msup>
<mi>E</mi>
<mi>t</mi>
</msup>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msup>
<mi>I</mi>
<mi>t</mi>
</msup>
</msubsup>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msup>
<mi>J</mi>
<mi>t</mi>
</msup>
</msubsup>
<msub>
<mi>&Sigma;</mi>
<mrow>
<msub>
<mi>load</mi>
<mi>i</mi>
</msub>
<mo>.</mo>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>T</mi>
<mo>&Element;</mo>
<msubsup>
<mi>C</mi>
<mi>i</mi>
<mi>t</mi>
</msubsup>
</mrow>
</msub>
<mo>|</mo>
<msub>
<mi>load</mi>
<mi>i</mi>
</msub>
<mo>.</mo>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>T</mi>
<mo>-</mo>
<msubsup>
<mi>m</mi>
<mi>i</mi>
<mi>t</mi>
</msubsup>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, loadi.lj.T it is a point in the space for represent object；For the cluster based on time scaleAverage；It
For the load load included under the clusteriSum；JtTo cluster body loadiIn single load ljSum；
(D5) sample and cluster centre mean square deviation sum E, based on response capacityP, as shown in formula (9),
<mrow>
<msup>
<mi>E</mi>
<mi>P</mi>
</msup>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msup>
<mi>I</mi>
<mi>P</mi>
</msup>
</msubsup>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msup>
<mi>J</mi>
<mi>P</mi>
</msup>
</msubsup>
<msub>
<mi>&Sigma;</mi>
<mrow>
<msub>
<mi>load</mi>
<mi>i</mi>
</msub>
<mo>.</mo>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>T</mi>
<mo>&Element;</mo>
<msubsup>
<mi>C</mi>
<mi>i</mi>
<mi>P</mi>
</msubsup>
</mrow>
</msub>
<mo>|</mo>
<msub>
<mi>load</mi>
<mi>i</mi>
</msub>
<mo>.</mo>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>f</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msubsup>
<mi>m</mi>
<mi>i</mi>
<mi>P</mi>
</msubsup>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, loadi.lj.f (t) is a point in the space for represent object；For the cluster based on time scale
Value；IPFor the load load included under the clusteriSum；JPTo cluster body loadiIn single load ljSum.
6. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (E), flexible load condensate collective model is formed, as shown in formula (10) and formula (11),
Aggre={ aggk|1≤k≤K} (10)
aggk=(PN, R (t), T, v) and (11)
Wherein, aggre is the set after similar Load aggregation, and k is the classification number of polymerization, for the load with J loadi,
Aggregate number K≤2lnJ；aggkFor similar Load aggregation；PNFor aggkPolymerization total capacity；R (t) is aggkVariable capacity model
Enclose, T is load maximum response time, and v is load average response speed.
7. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 6 and participation frequency modulation method, it is special
Sign is：If similar Load aggregation aggk, include load lj(j=1,2,3 ..., jk), for controllable burden (YC=1), it polymerize
Each parameter of model has following relation with the load in condensate：
<mrow>
<msub>
<mi>agg</mi>
<mi>k</mi>
</msub>
<mo>.</mo>
<msub>
<mi>P</mi>
<mi>N</mi>
</msub>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>j</mi>
<mi>k</mi>
</msub>
</msubsup>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<msub>
<mi>P</mi>
<mi>N</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>12</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>T</mi>
<mo>&GreaterEqual;</mo>
<msubsup>
<mo>&cap;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>j</mi>
<mi>k</mi>
</msub>
</msubsup>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>t</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>13</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>R</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>j</mi>
<mi>k</mi>
</msub>
</msubsup>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>f</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>14</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>G</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>j</mi>
<mi>k</mi>
</msub>
</msubsup>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>.</mo>
<mi>g</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>15</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>v</mi>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>T</mi>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>16</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, regulation Potential curves and load characteristic curve after R (t), G (t) respectively polymerization, T=0, v=∞.
8. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (F), condensate response capacity constraints are formed, as shown in formula (17),
aggk.Pdown≤aggk.PDR≤aggk.PN-aggk.Pcontact (17)
Wherein, aggk.PDRIt is the real response capacity that condensate participates in power system assistant service requirement；aggk.PcontactIt is poly-
The contract capacity being had been sold out in zoarium；aggk.PdownIt is to be responded by caused by external environment condition and self psychology constraint
Capacity-constrained lower limit；aggk.PNFor condensate rated capacity.
9. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (G), form the requirement of condensate regulating index, it is desirable to which installed capacity is per minute active less than 30MW wind power plant
Power swing should be less than 20%, can be grid-connected, specific as shown in formula (18) and formula (19),
<mrow>
<mfrac>
<mrow>
<mo>|</mo>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>|</mo>
</mrow>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mi>t</mi>
</msubsup>
</mfrac>
<mo>&le;</mo>
<mn>0.2</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>18</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mfrac>
<mrow>
<mo>|</mo>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mi>t</mi>
</msubsup>
<mo>+</mo>
<msub>
<mi>agg</mi>
<mi>k</mi>
</msub>
<mo>.</mo>
<mi>R</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>|</mo>
</mrow>
<msubsup>
<mi>P</mi>
<mi>w</mi>
<mi>t</mi>
</msubsup>
</mfrac>
<mo>&le;</mo>
<mn>0.2</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>19</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, Pw tRepresent the wind power output of t, unit kW, Pw t-1Represent the wind power output at t-1 moment；aggk.R (t) is negative
Load Regulation total amount after lotus polymerization, there is sign, is negative when needing reduction plans, when needing to increase load for just.
10. a kind of dynamic aggregation modeling for considering load fluctuation according to claim 1 and participation frequency modulation method, it is special
Sign is：Step (H), the fast response characteristic possessed based on condensate, form flexible load dynamic aggregation model and participate in system
Frequency modulation method, being capable of the response system primary frequency modulation second from frequency modulation performance because polymeric response characteristic adjusts in real time
The changed power requirement of level, in this manner, simulates the work(frequency characteristic of generator primary frequency modulation, then to condensate first
By condensate automatic detection power system frequency departure and change payload, be embodied in and subtract when system frequency declines
It is small in addition close and reduce condensate response capacity；Increase condensate response capacity when system frequency rises.
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| CN109245133A (en) * | 2018-11-02 | 2019-01-18 | 国网电子商务有限公司 | Energy storage regulation method, electronic equipment and the computer readable storage medium of micro-capacitance sensor |
| CN110571793A (en) * | 2019-08-23 | 2019-12-13 | 华北电力大学 | multidimensional identification method for flexible load demand response effect |
| CN110880772A (en) * | 2019-11-08 | 2020-03-13 | 武汉大学 | Electricity selling company response power grid control method based on industrial park load aggregation |
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| CN113297799A (en) * | 2021-06-10 | 2021-08-24 | 国网综合能源服务集团有限公司 | Air conditioner cluster load demand response potential evaluation method based on data driving |
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| CN108491983A (en) * | 2018-04-11 | 2018-09-04 | 西南交通大学 | A kind of extensive Unit Combination optimization method of more stack fuel cell electricity generation systems |
| CN108491983B (en) * | 2018-04-11 | 2021-09-03 | 西南交通大学 | Large-scale unit combination optimization method for multi-stack fuel cell power generation system |
| CN109193719A (en) * | 2018-08-03 | 2019-01-11 | 中国电力科学研究院有限公司 | A kind of modeling method and system for assessing distributed energy storage systematic polymerization frequency modulation performance |
| CN109193719B (en) * | 2018-08-03 | 2021-11-26 | 中国电力科学研究院有限公司 | Modeling method and system for evaluating aggregation frequency modulation performance of distributed energy storage system |
| CN109245133A (en) * | 2018-11-02 | 2019-01-18 | 国网电子商务有限公司 | Energy storage regulation method, electronic equipment and the computer readable storage medium of micro-capacitance sensor |
| CN110571793A (en) * | 2019-08-23 | 2019-12-13 | 华北电力大学 | multidimensional identification method for flexible load demand response effect |
| CN110991693A (en) * | 2019-10-28 | 2020-04-10 | 重庆大学 | Load price-quantity curve aggregation system considering uncertainty of electricity purchase cost |
| CN110880772B (en) * | 2019-11-08 | 2023-04-18 | 武汉大学 | Electricity selling company response power grid control method based on industrial park load aggregation |
| CN110880772A (en) * | 2019-11-08 | 2020-03-13 | 武汉大学 | Electricity selling company response power grid control method based on industrial park load aggregation |
| CN113297799A (en) * | 2021-06-10 | 2021-08-24 | 国网综合能源服务集团有限公司 | Air conditioner cluster load demand response potential evaluation method based on data driving |
| CN113297799B (en) * | 2021-06-10 | 2024-02-06 | 国网综合能源服务集团有限公司 | Air conditioner cluster load demand response potential evaluation method based on data driving |
| CN114268168A (en) * | 2021-11-23 | 2022-04-01 | 贵州电网有限责任公司 | Network security monitoring method applied to power monitoring system |
| CN115498661A (en) * | 2022-11-18 | 2022-12-20 | 中国电力科学研究院有限公司 | Power system frequency modulation parameter aggregation method and system considering new energy |
| CN115498661B (en) * | 2022-11-18 | 2023-01-17 | 中国电力科学研究院有限公司 | Power system frequency modulation parameter aggregation method and system considering new energy |
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