CN107919686A - A kind of wide area source lotus active optimization control method a few days ago - Google Patents
A kind of wide area source lotus active optimization control method a few days ago Download PDFInfo
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- 238000005338 heat storage Methods 0.000 claims description 8
- 230000036316 preload Effects 0.000 claims description 6
- 230000007423 decrease Effects 0.000 claims description 5
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- 238000004220 aggregation Methods 0.000 claims description 3
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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- Y02E10/76—Power conversion electric or electronic aspects
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a kind of wide area source lotus active optimization control method a few days ago, including：Read the related data of all kinds of power supplys, centralized industrial load and distributed appliance load；Polymerization processing is grouped to distributed appliance load；Calculate the polymerization regulation performance parameter of each group aggregate load；Build and solve wide area source lotus active optimization model a few days ago, obtain all kinds of power supplys, centralized industrial load, the active power plan a few days ago for polymerizeing appliance load；The active power plan a few days ago of each distributed load in distribution polymerization appliance load.Active optimization control method has taken into full account the control characteristic of polymorphic elastic load to a kind of wide area source lotus provided by the invention a few days ago, solves the problems, such as the specificity analysis of magnanimity wide-area distribution type load using the mode of polymerization, realize the coordination optimization control of the polymorphic elastic load of wide area, normal power supplies and wind-powered electricity generation, improve digestion capability of the power grid to wind-powered electricity generation.
Description
Technical field
The invention belongs to New-energy power system active optimization control field, more particularly to a kind of wide area source-lotus to have a few days ago
Work(optimal control method.
Background technology
With large-scale ten million multikilowatt wind power base installed capacity of wind-driven power sharp increase, the accounting of wind-powered electricity generation in systems increases
Add.The characteristics of randomness and fluctuation of wind-powered electricity generation, peak load regulation network pressure is added, only rely on conventional power unit output and can not achieve wind
The abundant consumption of electricity.Load side, centralized elastic load (such as high energy load) and distributed elastic load (such as thermal storage electric boiler
Deng) good control characteristic is shown, dispatching of power netwoks can be participated in, promotes the consumption of wind-powered electricity generation.However, elastic load adjusts spy
Property it is complicated, and distributed elastic load has the characteristics that distribution wide area, quantity magnanimity, adds the difficulty of dispatching of power netwoks.
Coordinate control aspect for source-lotus, both at home and abroad existing preliminary research.There is document to be made for large-scale wind power is grid-connected
Into peaking problem, feasibility and validity that " lotus-source " coordinates control are participated in the centralized elastic load such as high energy load
Studied.There is the theoretical research that document has carried out price type and stimulable type demand response participates in source-lotus coordination control, but simultaneously
The adjustable characteristic of wide area elastic load is not deeply considered.Have a literature research thermal storage electric boiler distributed elastic load can
Control characteristic, but source-lotus coordination control is not participated in it and is furtherd investigate.
In conclusion for the wide area elasticity such as centralized load (high energy load) and distributed load (thermal storage electric boiler)
Load, it is common to participate in " lotus-source " optimal control aspect, still lack systematic Study at present.In order to enable wide area elastic load
Preferably participate in power grid to adjust, fully dissolve wind-powered electricity generation, it is necessary to propose a kind of new wide area source-lotus active optimization controlling party a few days ago
Method, realizes the active optimization control for considering wind-powered electricity generation, normal power supplies, wide area elastic load.
The content of the invention
The object of the present invention is to provide a kind of wide area source-lotus active optimization control method a few days ago, for solving extensive wind
Under the grid-connected background of electricity, source-lotus active optimization control problem, reference is provided for operation of power networks.
A kind of wide area source-lotus active optimization control method a few days ago, comprises the following steps：
S1：Read the related data of all kinds of power supplys, centralized industrial load and distributed appliance load；
S2：Polymerization processing is grouped to distributed appliance load；
S3：Calculate the polymerization regulation performance parameter of each group aggregate load；
S4：Build and solve wide area source-lotus active optimization model a few days ago, obtain all kinds of power supplys, centralized industrial load, gather
Close the active power plan a few days ago of appliance load；
S5：The active power plan a few days ago of each distributed load in distribution polymerization appliance load.
The S1 comprises the following steps：
S101:Obtain the quantity M of centralized industrial load in power gridH, the quantity N of distributed appliance load；
S102：Obtain next day wind-powered electricity generation active power output prediction dataConventional load power prediction dataEach collection
Chinese style industrial load power prediction dataM=1 .., MH, each distributed appliance load power prediction dataM=
1,...,N；
S103：Obtain the performance parameter of normal power supplies：The peak power output P of conventional power unit iGi,max, minimum output power
PGi,min, minimum run timeMinimum downtimeRise and power restriction PGi,up, decline and power restriction PGi,down。
S104：Obtain centralized industrial load regulation performance parameter:The maximum load power of centralized industrial load m
Minimum load powerMaximum emersion power restriction DPh +, minimum power restriction drops
S105：Obtain the regulation performance parameter of distributed appliance load:The minimum load power of distributed appliance load nMaximum load powerMinimum amount of stored heatMaximum amount of stored heatMaximum climbing rate DPx+ m,nClimbed with minimum
Ratio of slope
The S2 comprises the following steps：
S201：N number of distributed appliance load is grouped, distributed civilian deferrable load only considers hot stored electric herein
Boiler load；The thermal storage electric boiler load that model is identical, regulating power scope is identical is grouped into the same group, is divided into MxGroup,
M group thermal storage electric boilers quantity is Nm。
S202：To MxThe processing of distribution type thermal storage electric boiler Load aggregation, polymerization process such as attached drawing 1.
The S3 comprises the following steps：
S301：Calculate MxThe secondary daily load prediction power of group polymerization appliance load
S302：Calculate MxThe minimum load power of group polymerization appliance loadAnd maximum load power
S303：Calculate MxThe minimum amount of stored heat of group polymerization appliance loadWith maximum amount of stored heat
S304：Calculate MxThe maximum climbing rate DP of group polymerization appliance loadx+ mWith minimum climbing rate
The S4 comprises the following steps：
S401：Wide area source-lotus active optimization model a few days ago is built, sets target function is to abandon air quantity minimum, constraints
Including power-balance constraint, wind power output constraint, normal power supplies operation constraint, aggregate load constraint, the constraint of high energy load.
S402：Solution obtains wind-powered electricity generation active power output plan a few days agoNormal power supplies active power output plan a few days agoConcentrate
Formula industrial load day preload effective power meter drawIt polymerize appliance load day preload effective power meter to draw
The S5 comprises the following steps：
Calculate each distributed load active power plan a few days ago in polymerization appliance load
A kind of wide area source-lotus provided by the invention active optimization control method a few days ago, passes through：Read all kinds of power supplys, concentration
The related data of formula industrial load and distributed appliance load；Polymerization processing is grouped to distributed appliance load；Calculate each
The polymerization regulation performance parameter of group aggregate load；Build and solve wide area source-lotus active optimization model a few days ago, obtain all kinds of electricity
Source, centralized industrial load, the active power plan a few days ago for polymerizeing appliance load；It is each distributed negative in distribution polymerization appliance load
The active power plan a few days ago of lotus.The method has taken into full account that the adjusting of the grid-connected fluctuation of large-scale wind power and elastic load is special
Property, solve the problems, such as distributed load quantity magnanimity by way of polymerization, can preferably play wide area elastic load, often
Complementary adjustment effect of the power supply to wind-powered electricity generation is advised, promotes wind electricity digestion.
Brief description of the drawings
Below by drawings and examples, technical scheme is described in further detail.
Fig. 1 is a kind of wide area source-lotus provided by the invention active optimization control method flow chart a few days ago.
Fig. 2 is regional power grid schematic diagram in example 2 provided by the invention
Fig. 3 is that the next day active power of the wind-powered electricity generation of regional power grid and each type load predicts number in example 2 provided by the invention
According to
Fig. 4 is the next day active power prediction data of the polymerization appliance load of regional power grid in example 2 provided by the invention
Fig. 5 is that the wind-powered electricity generation of regional power grid in example 2 provided by the invention, normal power supplies, high energy load, polymerization are civilian negative
The active power plan a few days ago of lotus
Fig. 6 is the effective power meter a few days ago of each distributed appliance load of regional power grid in example 2 provided by the invention
Draw
Embodiment
In order to have a clear understanding of technical scheme, its detailed structure will be set forth in the description that follows.Obviously, originally
The specific simultaneously deficiency of implementing of inventive embodiments is limited to the specific details that those skilled in the art is familiar with.The typical case of the present invention is real
Apply example to be described in detail as follows, in addition to these embodiments of detailed description, there can also be other embodiment.
The present invention is described in further details with reference to the accompanying drawings and examples.
Embodiment 1
Fig. 1 is a kind of flow chart of wide area source-lotus active optimization control method a few days ago.In Fig. 1, one kind provided by the invention
Active optimization control method flow chart includes wide area source-lotus a few days ago：
S1：Read the related data of all kinds of power supplys, centralized industrial load and distributed appliance load；
S2：Polymerization processing is grouped to distributed appliance load；
S3：Calculate the polymerization regulation performance parameter of each group aggregate load；
S4：Build and solve wide area source-lotus active optimization model a few days ago, obtain all kinds of power supplys, centralized industrial load, gather
Close the active power plan a few days ago of appliance load；
S5：The active power plan a few days ago of each distributed load in distribution polymerization appliance load.
The S1 comprises the following steps：
S101:Obtain the quantity M of centralized industrial load in power gridH, the quantity N of distributed appliance load；
S102：Obtain next day wind-powered electricity generation active power output prediction dataConventional load power prediction dataEach collection
Chinese style industrial load power prediction dataM=1 .., MH, each distributed appliance load power prediction dataM=
1,...,N；
S103：Obtain the performance parameter of normal power supplies：The peak power output P of conventional power unit iGi,max, minimum output power
PGi,min, minimum run timeMinimum downtimeRise and power restriction PGi,up, decline and power restriction PGi,down。
S104：Obtain centralized industrial load regulation performance parameter:The maximum load power of centralized industrial load m
Minimum load powerMaximum emersion power restriction DPh +, minimum power restriction drops
S105：Obtain the regulation performance parameter of distributed appliance load:The minimum load power of distributed appliance load nMaximum load powerMinimum amount of stored heatMaximum amount of stored heatMaximum climbing rate DPx+ m,n, minimum climbing
Rate
The S2 comprises the following steps：
S201：N number of distributed appliance load is grouped, distributed civilian deferrable load only considers hot stored electric herein
Boiler load；The identical thermal storage electric boiler load of thermal storage electric boiler model, amount of stored heat, rated power is grouped into the same group, is divided into
For MxGroup, m group thermal storage electric boilers quantity are Nm。
S202：To MxThe processing of distribution type thermal storage electric boiler Load aggregation, concretely comprises the following steps：M groups polymerize appliance load
Power is equal to NmThe superposition of a thermal storage electric boiler load power, i.e.,M groups polymerization appliance load amount of stored heat etc.
In NmThe superposition of a thermal storage electric boiler load amount of stored heat, i.e.,
The S3 comprises the following steps：
S301：Calculate Mx24 pre- power scales of point load of next day of group polymerization appliance load：M groups polymerization appliance load t
The load prediction power of period is：
Wherein,The load prediction power of n-th of distributed appliance load t period
S302：Calculate MxThe minimum and maximum regulating power of group polymerization appliance load：
Wherein,For the minimum and maximum regulating power of n-th of distributed appliance load.
S303：Calculate MxThe minimum and maximum amount of stored heat of group polymerization appliance load：
Wherein,For the minimum and maximum amount of stored heat of n-th of distributed appliance load.
S304：Calculate MxThe maximum climbing rate and minimum climbing rate of group polymerization appliance load：
Wherein,For the minimum and maximum climbing rate of n-th of distributed appliance load.
The S4 comprises the following steps：
S401:Build wide area source-lotus active optimization model a few days ago
The essence of active optimization control problem is to meet that electric system is normal to source-lotus that polymorphic elastic load participates in a few days ago
On the premise of stipulations beam, the adjustment effect of normal power supplies and elastic load is given full play to, more to dissolve large-scale wind power.Therefore
To abandon the minimum target of air quantity, structure object function is as follows：
In formula,For t periods wind-powered electricity generation plan a few days ago power generating value；Predicted for t next day, active power for wind power period
Value；Δ t is the duration of unit period, is set as 15 minutes；
Wherein constraints includes：
(1) power-balance constraint：
In formula, NGThe number of conventional power unit in expression system；Start and stop shapes of the conventional power unit i in period t in expression system
State, is represented with 0 or 1；Represent active power outputs of the conventional power unit i in the t periods；For the pre- power scale of t period conventional loads；The unscheduled power a few days ago of respectively m-th of high energy load and polymerization appliance load in the t periods；MHFor centralized work
The number of industry load (high energy load), MxFor the group number of polymerization appliance load (thermal storage electric boiler).
(2) wind power output constraints
(3) normal power supplies operation constraints
1) technology output bound constrains：
In formula, PGi,maxAnd PGi,minThe respectively output power bound of conventional power unit i.
3) Ramp Rate constrains：
In formula,For conventional power unit i period t-1 output；PGi,upAnd PGi,downThe respectively rising of conventional power unit i
Go out power restriction and decline and power restriction.
(4) it polymerize appliance load (thermal storage electric boiler aggregate load) constraint
1) amount of stored heat constrains
Heat storage electric boiler design maximum water temperature is 95 DEG C, if for water temperature more than 95 DEG C, boiler will in storage heater
Load operation is reduced, so amount of stored heat should be made in the case where meeting heat demand on daytime next day within prescribed limit：
In formula, amount of stored heatIt is represented by
2) load active power constrains
In formula：For the power load power of t period m classes heat storage electric boilers；WithRespectively m classes store
The lower limit and upper limit value of hot type electric boiler power.
3) power swing constrains
The power adjustable of heat storage electric boiler is very high, but in order to ensure the safe and stable operation of electric boiler, its power
Fluctuation should limit within limits：
In formula：DPx+ mWithFor the response speed limit of m class heat storage electric boiler ascending, descending power.
(5) centralized industrial load (high energy load) constraint
1) load bound constrains
Wherein,The respectively minimum and maximum capacity limit of high energy load m.
2) load climbing rate constrains
Wherein,And DPh +Power is contributed and rises from for the high energy load m maximum drops allowed from period t-1 to period t
Value.
S402:Wind-powered electricity generation active power output plan a few days ago is obtained using model solutionT=1 ..., 96, normal power supplies a few days ago
Active power output planT=1 ..., 9,6 centralized 24 point day preload effective power meters of industrial load are drawnT=
1 ..., 9,6 24 point day preload effective power meters of polymerization appliance load are drawnT=1 ..., 96.
The S5 comprises the following steps：
Calculate each distributed appliance load active power plan a few days ago in polymerization appliance load：According to each point of m groups
Effective power meter of the cloth appliance load in the t periods divides into
Embodiment 2：
Fig. 2 is a regional power grid schematic diagram, and as example, a kind of wide area source-lotus provided by the invention is a few days ago active excellent
Changing control method includes：
S1：Read the related data of all kinds of power supplys, centralized industrial load and distributed appliance load.
(1) in regional power grid, wind power plant rated power 300MW；Normal power supplies unit rated power G1：300MW、G2：
300MW；High energy load quantity MH=1, its rated capacity 50MW；Distributed appliance load N=10, its rated power are respectively
1MW*6,1.25MW*4；It is 0 to send power outside, i.e. Pin=Pout。
(2) active prediction data a few days ago is obtained：Next day wind-powered electricity generation active power output prediction data, conventional load power prediction number
According to, each centralized industrial load (i.e. high energy load) power prediction data, attached drawing 3 (a) is seen；Each distribution appliance load is (i.e.
Thermal storage electric boiler load) power prediction data, see attached drawing 3 (b).
(3) performance parameter of normal power supplies is obtained：
| Unit Gi | PGi,max | PGi,min | PGi,up | PGi,down |
| G1 | 300MW | 150MW | 30MW/h | -30MW/h |
| G2 | 300MW | 150MW | 30MW/h | -30MW/h |
(4) centralized industrial load regulation performance parameter is obtained：
(5) distributed appliance load regulation performance parameter is obtained：
S2：Polymerization processing is grouped to distributed appliance load, it is as shown in the table.
S3：The polymerization regulation performance parameter of each group aggregate load is calculated, it is as a result as follows：
The secondary daily load prediction power of two groups of polymerization appliance loads is calculated, the result is shown in attached drawing 4；
S4：Build and solve wide area source-lotus active optimization model a few days ago, obtain wind-powered electricity generation, thermoelectricity, centralized industrial load
Active power plan a few days ago, is shown in attached drawing 5 (a), polymerize the active power plan a few days ago of appliance load, sees attached drawing 5 (b).
S5：Each distributed load active power plan a few days ago in distribution polymerization appliance load, the result is shown in attached drawing 6.Finally
It should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although with reference to above-mentioned reality
Apply example the present invention is described in detail, those of ordinary skill in the art still can be to the specific implementation of the present invention
Mode technical scheme is modified or replaced equivalently, these are without departing from any modification of spirit and scope of the invention or equivalent substitution,
Applying within pending claims.
Claims (8)
1. a kind of wide area source-lotus active optimization control method a few days ago, comprises the following steps：
S1：Read the related data of all kinds of power supplys, centralized industrial load and distributed appliance load；
S2：Polymerization processing is grouped to distributed appliance load；
S3：Calculate the polymerization regulation performance parameter of each group aggregate load；
S4：Build and solve wide area source-lotus active optimization model a few days ago, obtain all kinds of power supplys, centralized industrial load, the polymerization people
With the active power plan a few days ago of load；
S5：The active power plan a few days ago of each distributed load in distribution polymerization appliance load.
A kind of 2. wide area source-lotus according to claim 1 active optimization control method a few days ago, it is characterised in that the S1
Comprise the following steps：
S101:Obtain the quantity M of centralized industrial load in power gridH, the quantity N of distributed appliance load；
S102：Obtain next day wind-powered electricity generation active power output prediction dataConventional load power prediction dataEach centralization
Industrial load power prediction dataEach distribution appliance load power prediction data
S103：Obtain the performance parameter of normal power supplies：The peak power output P of conventional power unit iGi,max, minimum output power
PGi,min, minimum run timeMinimum downtimeRise and power restriction PGi,up, decline and power restriction PGi,down；
S104：Obtain centralized industrial load regulation performance parameter:The maximum load power of centralized industrial load mIt is minimum
Load powerMaximum emersion power restriction DPh +, minimum power restriction drops
S105：Obtain the regulation performance parameter of distributed appliance load:The minimum load power of distributed appliance load n
Maximum load powerMinimum amount of stored heatMaximum amount of stored heatMaximum climbing rate DPx+ m,n, minimum climbing rate
A kind of 3. wide area source-lotus according to claim 1 active optimization control method a few days ago, it is characterised in that the S2
Comprise the following steps：
S201：N number of distributed appliance load is grouped, thermal storage electric boiler model, specified amount of stored heat, rated power is identical
Thermal storage electric boiler load be grouped into the same group, be divided into MxGroup, m group thermal storage electric boilers quantity are Nm；
S202：To MxThe processing of distribution type thermal storage electric boiler Load aggregation, concretely comprises the following steps：M groups polymerization appliance load power etc.
In NmThe superposition of a thermal storage electric boiler load power, i.e.,M groups polymerization appliance load amount of stored heat is equal to NmA storage
The superposition of water-tube boiler load amount of stored heat, i.e.,
A kind of 4. wide area source-lotus according to claim 1 active optimization control method a few days ago, it is characterised in that the S3
Comprise the following steps：
S301：Calculate MxThe secondary daily load prediction power of group polymerization appliance load
S302：Calculate MxThe minimum load power of group polymerization appliance loadAnd maximum load power
S303：Calculate MxThe minimum amount of stored heat of group polymerization appliance loadWith maximum amount of stored heat
S304：Calculate MxThe maximum climbing rate DP of group polymerization appliance loadx+ mWith minimum climbing rate
A kind of 5. wide area source-lotus according to claim 1 active optimization control method a few days ago, it is characterised in that the S4
Comprise the following steps：
S401：Wide area source-lotus active optimization model a few days ago is built, to abandon air quantity minimum, constraints includes sets target function
Power-balance constraint, wind power output constraint, normal power supplies operation constraint, polymerization appliance load constraint, the constraint of high energy load；
S402：Solution obtains wind-powered electricity generation active power output plan a few days agoNormal power supplies active power output plan a few days agoCentralized work
Industry load day preload effective power meter drawIt polymerize appliance load day preload effective power meter to draw
A kind of 6. wide area source-lotus according to claim 1 active optimization control method a few days ago, it is characterised in that the S5
Comprise the following steps：
Calculate each distributed load active power plan a few days ago in polymerization appliance load
A kind of 7. wide area source-lotus according to claim 4 active optimization control method a few days ago, it is characterised in that the S3
Comprise the following steps：
S301：Calculate Mx24 pre- power scales of point load of next day of group polymerization appliance load：The m groups polymerization appliance load t periods
Load prediction power is：
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S302：Calculate MxThe minimum and maximum regulating power of group polymerization appliance load：
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</munderover>
<msubsup>
<mi>P</mi>
<mrow>
<mi>x</mi>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mrow>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein,For the minimum and maximum regulating power of n-th of distributed appliance load；
S303：Calculate MxThe minimum and maximum amount of stored heat of group polymerization appliance load：
<mrow>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>min</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>m</mi>
</msub>
</munderover>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>min</mi>
</mrow>
<mrow>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>m</mi>
</msub>
</munderover>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mrow>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein,For the minimum and maximum amount of stored heat of n-th of distributed appliance load；
S304：Calculate MxThe maximum climbing rate and minimum climbing rate of group polymerization appliance load：
DPx+ m=Nmin (DPx+ m,n),
Wherein, DPx+ m,n、For the minimum and maximum climbing rate of n-th of distributed appliance load.
A kind of 8. wide area source-lotus according to claim 5 active optimization control method a few days ago, it is characterised in that S401:Structure
Build wide area source-lotus active optimization model a few days ago；
It is as follows to build object function：
<mrow>
<mi>min</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mn>24</mn>
</munderover>
<mrow>
<mo>(</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>W</mi>
<mo>,</mo>
<mi>f</mi>
<mi>o</mi>
<mi>r</mi>
<mi>e</mi>
<mi>c</mi>
<mi>a</mi>
<mi>s</mi>
<mi>t</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>P</mi>
<mi>W</mi>
<mi>t</mi>
</msubsup>
<mo>)</mo>
</mrow>
<mi>&Delta;</mi>
<mi>t</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,For t periods wind-powered electricity generation plan a few days ago power generating value；For period next day t active power for wind power predicted value；Δt
For the duration of unit period, it is set as 15 minutes；
Wherein constraints includes：
(1) power-balance constraint：
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>G</mi>
</msub>
</munderover>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>P</mi>
<mi>W</mi>
<mi>t</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>P</mi>
<mi>D</mi>
<mi>t</mi>
</msubsup>
<mo>+</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>H</mi>
</msub>
</munderover>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>+</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>X</mi>
</msub>
</munderover>
<msubsup>
<mi>P</mi>
<mrow>
<mi>x</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
(2) wind power output constraints
<mrow>
<mn>0</mn>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mi>W</mi>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>W</mi>
<mo>,</mo>
<mi>f</mi>
<mi>o</mi>
<mi>r</mi>
<mi>e</mi>
<mi>c</mi>
<mi>a</mi>
<mi>s</mi>
<mi>t</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
(3) normal power supplies operation constraints
1) technology output bound constrains：
<mrow>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, PGi,maxAnd PGi,minThe respectively output power bound of conventional power unit i；
3) Ramp Rate constrains：
<mrow>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>u</mi>
<mi>p</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>U</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>d</mi>
<mi>o</mi>
<mi>w</mi>
<mi>n</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,For conventional power unit i period t-1 output；PGi,upAnd PGi,downThe rising of respectively conventional power unit i is contributed
Limit and decline and power restriction；
(4) it polymerize appliance load (thermal storage electric boiler aggregate load) constraint
1) amount of stored heat constrains
Heat storage electric boiler design maximum water temperature is 95 DEG C, and amount of stored heat is within prescribed limit：
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>#</mo>
</mrow>
</mtd>
<mtd>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mtd>
<mtd>
<msubsup>
<mi>Q</mi>
<mrow>
<mi>x</mi>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>10</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, amount of stored heatIt is represented by
2) load active power constrains
<mrow>
<mtable>
<mtr>
<mtd>
<msubsup>
<mi>P</mi>
<mrow>
<mi>x</mi>
<mi>min</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mtd>
<mtd>
<mrow>
<mo>#</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>x</mi>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<msubsup>
<mi>P</mi>
<mrow>
<mi>x</mi>
<mi>max</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>11</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：For the power load power of t period m classes heat storage electric boilers；WithRespectively m classes heat accumulating type
The lower limit and upper limit value of electric boiler power；
3) power swing constrains
The power adjustable of heat storage electric boiler is very high, but in order to ensure the safe and stable operation of electric boiler, the ripple of its power
It is dynamic to limit within limits：
In formula：DPx+ mWithFor the response speed limit of m class heat storage electric boiler ascending, descending power；
(5) centralized industrial load (high energy load) constraint
1) load bound constrains
<mrow>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mi>min</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mi>max</mi>
</mrow>
<mi>m</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>13</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein,The respectively minimum and maximum capacity limit of high energy load m；
2) load climbing rate constrains
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>DP</mi>
<mi>h</mi>
<mo>-</mo>
</msubsup>
<mo>?</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mi>m</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<msubsup>
<mi>P</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</msubsup>
</mtd>
<mtd>
<mrow>
<msup>
<msub>
<mi>P</mi>
<mi>h</mi>
</msub>
<mo>+</mo>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>14</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein,And DPh +Force value is contributed and rises from for the high energy load m maximum drops allowed from period t-1 to period t.
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| CN108711889A (en) * | 2017-11-07 | 2018-10-26 | 华北电力大学 | A kind of wide area source-lotus active optimization control method a few days ago |
| CN109829595A (en) * | 2018-09-05 | 2019-05-31 | 华北电力大学 | A kind of response potentiality quantization method of polymorphic elastic load clustered control |
| CN110112767A (en) * | 2019-03-19 | 2019-08-09 | 华北电力大学 | The polymorphic Demand-side load of wide area participates in the lotus source optimization control method of peak-load regulating |
| CN111190355A (en) * | 2020-01-14 | 2020-05-22 | 华北电力大学 | Air conditioner and water heater combined control method and system based on cloud platform |
| CN111416339A (en) * | 2019-03-21 | 2020-07-14 | 华北电力大学 | Source-load day-ahead active power coordination control method based on double-layer planning model |
| CN113437764A (en) * | 2021-05-21 | 2021-09-24 | 国网辽宁省电力有限公司鞍山供电公司 | Source-load interaction peak regulation strategy based on active control of fused magnesium |
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| CN108711889A (en) * | 2017-11-07 | 2018-10-26 | 华北电力大学 | A kind of wide area source-lotus active optimization control method a few days ago |
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| CN111416339A (en) * | 2019-03-21 | 2020-07-14 | 华北电力大学 | Source-load day-ahead active power coordination control method based on double-layer planning model |
| CN111190355A (en) * | 2020-01-14 | 2020-05-22 | 华北电力大学 | Air conditioner and water heater combined control method and system based on cloud platform |
| CN111190355B (en) * | 2020-01-14 | 2021-09-17 | 华北电力大学 | Air conditioner and water heater combined control method and system based on cloud platform |
| CN113437764A (en) * | 2021-05-21 | 2021-09-24 | 国网辽宁省电力有限公司鞍山供电公司 | Source-load interaction peak regulation strategy based on active control of fused magnesium |
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