CN106780156A - A kind of power distribution network method for running - Google Patents
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Abstract
The application is related to power distribution network to run technical field, and in particular to a kind of power distribution network method for running.Realizing that flow of power and information flow highly merge and to realize that sale of electricity company also compares shortcoming with terms of the operation of the flexible interaction between power consumer.The application provides a kind of power distribution network method for running, comprises the following steps：The differentiation electric cost of calculated load user；Result of calculation in S1, the confession electricity consumption agreement based on differentiation electric cost is signed with user；Using the Spot Price pricing method based on expected load rate roll correction, in each electricity price regulating time section, dynamic regulation is carried out to distribution network load.Power distribution network using active method for running can not only flexible modulation power consumer load level, make cooperation between electric load and DER output powers, and power transformation capacity investment can be saved, improve the utilization ratio of power transformation capacity.
Description
Technical field
The application is related to power distribution network to run technical field, and in particular to a kind of power distribution network method for running.
Background technology
Current power distribution network belongs to passive type power distribution network, and its passive feature is mainly manifested in operation, control and planning construction three
Individual aspect.In terms of operation, the flow of power approach of existing power network is to produce electric power by power plant, and electric power becomes through power transmission network, transmission of electricity
Power station, transmission line of electricity, distribution substation are transported to power consumer.During this flow of power warp, in order to maintain the peace of power network
Full stable operation, it is necessary to assure the dynamic equilibrium generated electricity with electricity consumption.This dynamic equilibrium also determines the passive of current power distribution network
The one-way of the method for operation and flow of electrical power.In control aspect, although current power distribution network also develops on the basis of power distribution automation
Distribution management system, but a kind of passive type protection control measure after its control is broken down both for power distribution network.
Planning construction aspect, is all that collateral security power distribution network property safe and reliable to operation angle is set out, according to the peak load or average of prediction
Load carries out the type selecting and design of distribution transforming place capacity.Therefore, current power distribution systems are not to be connect for a large amount of distributed power sources
Enter and design, as the power distribution network of extensive DER is accessed, it also can bring many adverse effects to power distribution network, such as to short circuit
Levels of current and lectotype selection, reactive power and voltage's distribiuting, distribution protection, power distribution automation and fault clearance process, spy
The problems such as decoupled mode in the case of different, can all bring adverse effect.Therefore, accessed to tackle a large amount of distribution DER,
Simultaneously in order to maintain the reliability of current power distribution network, it is necessary to realize power distribution network in terms of distribution network planning, control and operation three
Active work mode transformation.
As large-scale distributed power supply (distributed energy resource, DER) is in the grid-connected fortune of power distribution network
OK so that the electricity needs of Demand-side sub-load is met on the spot in power distribution network, while the social operation cost of power distribution network
Reduce.But if power distribution network lacks active control and actively runs means, fully dissolve DER electric power, the construction of power distribution network with
Operation expense can increase on the contrary.With charging electric vehicle load, various energy storage loads and based on the soft of variable frequency adjustment
Property load proportion in power distribution network increase, also make to can adjust in power distribution network or interruptible load increase, and then make distribution
Net realizes that source lotus coordinated operation is possibly realized using Load Regulation.But realizing that flow of power and information flow highly merge and be reality
Existing sale of electricity company also compares shortcoming with the operation aspect of the flexible interaction between power consumer.
The content of the invention
Lack active control and active operation means the invention aims to solve above-mentioned power distribution network, realize electric power
Stream and information flow highly merge and are the problem in terms of the operation for realizing the flexible interaction between sale of electricity company and power consumer.
Therefore, the embodiment of the invention provides following technical scheme：A kind of power distribution network method for running, the method for running bag
Include following steps：
The differentiation electric cost of S1 calculated load users；
Result of calculations of the S2 in S1, the confession electricity consumption agreement based on differentiation electric cost is signed with user；
S3 is interior in each electricity price regulating time section using the Spot Price pricing method based on expected load rate roll correction,
Dynamic regulation is carried out to distribution network load.
Alternatively, the differentiation electric cost computing formula of the load user is as follows：
C in formulai(Tb(j)) for power consumer i in regulating cycle TbElectric cost in (j)；CibIt is to be counted by Spot Price
Electric cost；CirFor user i from sale of electricity company obtain compensation its response Load Regulation demand income or be not responding to regulation
The punishment cost of demand；CicFor user i the removed income of its interruptible load is compensated from what sale of electricity company obtained；αirAnd αic
Respectively whether sale of electricity company carries out differentiation electric cost statistics to user i, and statistics is represented equal to 1, is represented equal to 0 and not united
Meter；piT () is the real-time burden with power of Demand-side user i；M (t) is Spot Price；tbsjAnd tbejRespectively j-th rate of load condensate
Regulating cycle TbThe first and last moment of (j)；β r and β c are respectively the preferential weight of electricity price of user response Load Regulation or excision demand；
c(Tb(j)) it is that Demand-side can adjust load in regulating cycle TbRegulation ratio in (j)；γi(Tb(j)) can to calculate user i
Regulation load is in regulating cycle TbPreferential or punishment cost weight in (j).
Alternatively, it is described using the Spot Price pricing method based on expected load rate roll correction, comprise the following steps：
S301, the Respondence to the Price of Electric Power characteristic model using Demand-side load, calculate the regulation week in current power distribution network rate of load condensate
Phase TbThe electricity price of (j)
S302, the Respondence to the Price of Electric Power characteristic model calculating using description price type loadDemand-side load under effect
Regulated quantity
S303, using TbThe Demand-side load in (j) cycle and the predicted value of distributed grid-connected powerWithWith reference to TbThe Respondence to the Price of Electric Power estimator of (j) cyclic load demandCalculating carries out TbThe rate of load condensate in (j) cycle
S304, calculating eliminate Tb(j) cyclic load rate estimate and expected load rate ηexpBetween deviation amendment after electricity price
Estimate
Alternatively, the γi(Tb(j)) computing formula is as follows：
IfThen have
Or
IfThen have
Sgn (x) is sign function in formula, if x >=0, sgn (x)=1, if x<0, sgn (x)=- 1.
Alternatively, the regulating cycle T in current power distribution network rate of load condensatebThe electricity price of (j)Computing formula such as
Under：
M (t) is Spot Price in formula；MrefIt is the reference data value of Spot Price；tbs(j-1)And tbe(j-1)Respectively jth -1
Individual rate of load condensate regulating cycle Tb(j-1) the first and last moment；∑piT () represents the load aggregate demand of user；η Emax and η Emin distinguish
It is the expectation upper and lower bound that rate of load condensate is adjusted using electricity price；PpbIt is the active capacity of distribution transforming；mmaxAnd mminRespectively Spot Price
The upper and lower bound of value；
The Demand-side Load Regulation amountComputing formula it is as follows：
P in formularefIt is the reference data value of Load Regulation amount；Represent customer charge demand sum total in Tb(j) cycle
Predicted value；mupAnd mlowRespectively price type load changes the upper and lower bound without response range to electricity price；It is each negative for reflecting
Lotus user is in TbActive demand degree of (j) cycle to electric power；f1[m(t)/Mref–mup] and f2[mlow–m(t)/Mref] can basis
The Respondence to the Price of Electric Power Δ p of customer chargeL/PrefAnd its electricity price regulated quantity is corresponded to therewithOr
F is determined using NUMERICAL MATCH METHOD FOR1Function or f2Function：
The TbThe rate of load condensate in (j) cycleComputing formula it is as follows：
Electricity price estimate after the amendmentComputing formula is as follows：
ε is to describe expected load rate η exp to fluctuate the deviation of scope in formula.
Alternatively, also including based on probability Estimation cycle TbThe regulation ratio of the adjustable load of agreement in (j)
η in formularFor the rate of load condensate setting value that rate of load condensate prevention and control start；n2There is provided adjustable to be signed with sale of electricity company
The number of users of load；PicIf operating the adjustable burdens with power held of user i to sign to provide load and can adjust with Utilities Electric Co.
Size；RiRepresent the adjustable protocols User i of load in TbIf the practical adjustments load in (j) cycle account for agreement hold regulation load it is total
The ratio of amount；f(Ri) it is to meet normal distribution N [c (Tb(j),σ2)] RiDistribution probability.
Alternatively, also including cycle TbJ the number of users of agreement interruptible load in (), computing formula is as follows：
η in formulacTo start the rate of load condensate setting value of rate of load condensate Corrective control；n3Intend excision interruptible load for identified
Protocols User number；PicIf for signed with Utilities Electric Co. provide load can the burdens with power interrupted held of interrupt operation user i it is big
It is small.
Alternatively, the optimization of the method for running of electric cost differentiation is also based on including power distribution network, methods described is included such as
Lower step：
Sale of electricity company is set up in TbOptimal operation object function in (j) cycle；
Rate of load condensate regulating cycle T is solved using the population optimizing algorithm in accompanying drawing 2bIt is the best electric price in (j), adjustable
Load Regulation ratio and load curtailment regulated quantity；
Determine that sale of electricity company is based on electricity price operation scope, adjustable load that Demand-side differentiation electric cost is actively runed
With the composition of interruptible load amount.
Alternatively, the optimal operation object function is as follows：
N is Demand-side load number of users in formula；pgThe realtime power of (t) power transmission network；m1T () is the power purchase electricity of power transmission network
Valency；LpjIt is distribution line total length, rpjIt is circuit unit length cost；PpbIt is system power capacity, ppjIt is unit distribution capacity
Cost, qpjIt is other information transformation of facility expense, xpyIt is O＆M cost conversion factor；m2T () is the grid-connected power of distributed power source
Electricity price；fpsIt is the carbon emission expense required for every kilogram of discharge；0.89 is every based on the converted thermoelectricity energy of related data statistics
Produce the amount of carbon dioxide of 1 kilowatt hour discharge, units/kg；WtotalThe generated energy of the conventional electric power generation energy is represented, power transmission network can be used
Off line Energy Equivalent；
The equation and inequality constraints condition of required satisfaction are as follows：
Alternatively, the rate of load condensate regulating cycle TbThe best electric price in (j), adjustable Load Regulation ratio and can cut off
The computational methods of Load Regulation amount are comprised the following steps：
Initial value assignment is carried out to formula one to each state variable of formula 11；
According to formula 12, if vector xiIt is optimizing particle, its component xij(j=1,2,3) Spot Price, adjustable is represented respectively
Section Load Regulation ratio and load curtailment regulated quantity, random generation optimizing space SnThe Initial component x of middle m particleij(0)(i
=1 ..., m), based on power distribution network Demand-side predicted load and the grid-connected power prediction value of distributed power source, using population optimizing
Algorithm for Solving.
Technical scheme provided in an embodiment of the present invention includes following beneficial effect：The application is realizing large-scale distributed electricity
Power distribution network after source is grid-connected dissolves operation technology for target, the flexible method for running using power distribution network Demand-side as research object,
Respondence to the Price of Electric Power characteristic and Demand-side based on price type load are based on differentiation electric cost, it is proposed that Demand-side is based on differentiation
The active method for running of electric cost, on this basis, by the model and phase of setting up reflection sale of electricity operation cost of enterprises benefit
Constraints is closed, the optimization of the active method for running is further provided.
Power distribution network using active method for running can not only flexible modulation power consumer load level, make electric load with
Cooperation between DER output powers, and the tune to load peak valley demand can be realized on the basis of the DER that effectively dissolves
Section, reduces installed capacity and the spinning reserve of system, saves power transformation capacity investment, improves the utilization ratio of power transformation capacity.Simultaneously
Due to taking full advantage of the DER energy, will make the social operation cost of power distribution network is effectively reduced, and to system installed capacity and
The demand reduction of power transformation capacity, has saved Installed capital cost.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it should be apparent that, for those of ordinary skills, before creative labor is not paid
Put, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is power distribution network operation optimization Method And Principle schematic diagram in the embodiment of the present invention；
Fig. 2 is power distribution network population optimizing algorithm principle schematic in the embodiment of the present invention；
Fig. 3 is the electricity price scope of the optimal operation of power distribution network in the embodiment of the present invention；
Fig. 4 is the Demand-side load responding of the optimal operation of power distribution network in the embodiment of the present invention.
Specific embodiment
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows and meets implementation of the invention
Example, and be used to explain principle of the invention together with specification.
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without having to pay creative labor, can also obtain other accompanying drawings according to these accompanying drawings.
In power distribution network Long-term planning operation condition, if known distribution network system distribution capacity and intermittent energy permeability,
Grid side needs the power distribution network of rational differentiation electric cost to supply sale of electricity contract.How to use rational in actually operation
Pricing strategy and the suitable electric load composition of grid company sale will turn into seeks the optimal key of grid benefit.Accompanying drawing
1 describes the active operation optimization method that power distribution network is based on differentiation electric cost, and the method is a kind of to run electricity price, operation
Load structure ratio is optimizing particle, by determining that it is optimization aim to make power grid operation benefit optimal, is calculated using population optimizing
Method determines the variation track of optimizing particle.Concrete operating principle step is as follows：
Input emulation initial system parameters, including distribution network system distribution capacity and intermittent energy installed capacity；
Because the effect of Spot Price is that customer charge is adjusted by dynamic publishing electricity price, reduce the wave water of load
Flat, effectively to reduce capacity of distribution transform and improve its utilization rate, and capacity of distribution transform is a definite value, and rate of load condensate is distribution network load
With the ratio of capacity of distribution transform, therefore when with Spot Price dynamic regulation load, electricity price liter can be increased according to rate of load condensate
Height, as the principle that rate of load condensate declines electricity price reduction determines.This principle is followed, and combination is desirable with Spot Price and maintains load
The target that rate is run in expected range, based on the characteristic that user responds to Spot Price, it may be determined that formula Spot Price price side
Method；
Load prevention and control and Corrective control based on load rate of grid, carry out the mistake that Spot Price adjusts distribution network load
Cheng Zhong, when rate of load condensate given threshold of the distribution network load rate beyond prevention and control, will start base by evaluation method as shown in formula nine
In the rate of load condensate prevention and control of adjustable load.Distribution network load rate cannot be made to be maintained at prevention when rate of load condensate prevention and control are used
Run under the corresponding rate of load condensate setting value of control, and beyond rate of load condensate setting value corresponding to the Corrective control bigger than the setting value
When, according to each load agreement can interrupt user promise interruptible load amount, will as shown in formula ten principle, carrying out load can interrupt
Control user's selection, then sends negative by electrical power distribution automatization system to the intelligent measuring instrument that each agreement load can interrupt user
Lotus interrupt instruction, interrupts power supply to selected interruptible load, make rate of load condensate recover to rate of load condensate Corrective control setting value with
Lower operation；
Based on Spot Price pricing strategy and load prevention and control and Corrective control, can with reference to the Respondence to the Price of Electric Power characteristic of load
Effectively to predict that load is exerted oneself situation, using Spot Price initial range as power network primary, using load prediction, fortune
96 time points of row, using sale of electricity company power Benefit Calculation calculate grid benefit, by particle cluster algorithm repeatedly repeatedly
In generation, seeks out the optimal particle of grid benefit；
One group of optimal result of output grid benefit is output as optimizing result, the optimal active distribution network of output grid benefit
User's ratio and electricity price price scope.
Below by embodiment, and with reference to accompanying drawing, the technical scheme to the application is described in further detail.Referring to figure
1~4, the application provides a kind of power distribution network method for running, and the method for running comprises the following steps：
The differentiation electric cost of S1 calculated load users；
Result of calculations of the S2 in S1, the confession electricity consumption agreement based on differentiation electric cost is signed with user；
S3 is interior in each electricity price regulating time section using the Spot Price pricing method based on expected load rate roll correction,
Dynamic regulation is carried out to distribution network load.
Alternatively, the differentiation electric cost computing formula of the load user is as follows：
C in formulai(Tb(j)) for power consumer i in regulating cycle TbElectric cost in (j)；CibIt is to be counted by Spot Price
Electric cost；CirFor user i from sale of electricity company obtain compensation its response Load Regulation demand income or be not responding to regulation
The punishment cost of demand；CicFor user i the removed income of its interruptible load is compensated from what sale of electricity company obtained；αirAnd αic
Respectively whether sale of electricity company carries out differentiation electric cost statistics to user i, and statistics is represented equal to 1, is represented equal to 0 and not united
Meter；piT () is the real-time burden with power of Demand-side user i；M (t) is Spot Price；tbsjAnd tbejRespectively j-th rate of load condensate
Regulating cycle TbThe first and last moment of (j)；β r and β c are respectively the preferential weight of electricity price of user response Load Regulation or excision demand；
c(Tb(j)) it is that Demand-side can adjust load in regulating cycle TbRegulation ratio in (j)；γi(Tb(j)) can to calculate user i
Regulation load is in regulating cycle TbPreferential or punishment cost weight in (j).
Alternatively, it is described using the Spot Price pricing method based on expected load rate roll correction, comprise the following steps：
S301, the Respondence to the Price of Electric Power characteristic model using Demand-side load, calculate the regulation week in current power distribution network rate of load condensate
Phase TbThe electricity price of (j)
S302, the Respondence to the Price of Electric Power characteristic model calculating using description price type loadDemand-side load under effect
Regulated quantity
S303, using TbThe Demand-side load in (j) cycle and the predicted value of distributed grid-connected powerWithWith reference to TbThe Respondence to the Price of Electric Power estimator of (j) cyclic load demandCalculating carries out TbThe rate of load condensate in (j) cycle
S304, calculating eliminate Tb(j) cyclic load rate estimate and expected load rate ηexpBetween deviation amendment after electricity price
Estimate
Alternatively, the γi(Tb(j)) computing formula is as follows：
IfThen have
Or
IfThen have
Sgn (x) is sign function in formula, if x >=0, sgn (x)=1, if x<0, sgn (x)=- 1.
Alternatively, the regulating cycle T in current power distribution network rate of load condensatebThe electricity price of (j)Computing formula such as
Under：
M (t) is Spot Price in formula；MrefIt is the reference data value of Spot Price；tbs(j-1)And tbe(j-1)Respectively jth -1
Individual rate of load condensate regulating cycle Tb(j-1) the first and last moment；∑piT () represents the load aggregate demand of user；η Emax and η Emin distinguish
It is the expectation upper and lower bound that rate of load condensate is adjusted using electricity price；PpbIt is the active capacity of distribution transforming；mmaxAnd mminRespectively Spot Price
The upper and lower bound of value；
The Demand-side Load Regulation amountComputing formula it is as follows：
P in formularefIt is the reference data value of Load Regulation amount；Represent customer charge demand sum total in Tb(j) cycle
Predicted value；mupAnd mlowRespectively price type load changes the upper and lower bound without response range to electricity price；It is each negative for reflecting
Lotus user is in TbActive demand degree of (j) cycle to electric power；f1[m(t)/Mref–mup] and f2[mlow–m(t)/Mref] can basis
The Respondence to the Price of Electric Power Δ p of customer chargeL/PrefAnd its electricity price regulated quantity is corresponded to therewithOr
F is determined using NUMERICAL MATCH METHOD FOR1Function or f2Function：
The TbThe rate of load condensate in (j) cycleComputing formula it is as follows：
Electricity price estimate after the amendmentComputing formula is as follows：
ε is to describe expected load rate η exp to fluctuate the deviation of scope in formula.
Alternatively, also including based on probability Estimation cycle TbThe regulation ratio of the adjustable load of agreement in (j)
η in formularFor the rate of load condensate setting value that rate of load condensate prevention and control start；n2There is provided adjustable to be signed with sale of electricity company
The number of users of load；PicIf operating the adjustable burdens with power held of user i to sign to provide load and can adjust with Utilities Electric Co.
Size；RiRepresent the adjustable protocols User i of load in TbIf the practical adjustments load in (j) cycle account for agreement hold regulation load it is total
The ratio of amount；f(Ri) it is to meet normal distribution N [c (Tb(j),σ2)] RiDistribution probability.
Alternatively, also including cycle TbJ the number of users of agreement interruptible load in (), computing formula is as follows：
η in formulacTo start the rate of load condensate setting value of rate of load condensate Corrective control；n3Intend excision interruptible load for identified
Protocols User number；PicIf for signed with Utilities Electric Co. provide load can the burdens with power interrupted held of interrupt operation user i it is big
It is small.
Alternatively, the optimization of the method for running of electric cost differentiation is also based on including power distribution network, methods described is included such as
Lower step：
Sale of electricity company is set up in TbOptimal operation object function in (j) cycle；
Rate of load condensate regulating cycle T is solved using the population optimizing algorithm in accompanying drawing 2bIt is the best electric price in (j), adjustable
Load Regulation ratio and load curtailment regulated quantity；
Determine that sale of electricity company is based on electricity price operation scope, adjustable load that Demand-side differentiation electric cost is actively runed
With the composition of interruptible load amount.
Alternatively, the optimal operation object function is as follows：
N is Demand-side load number of users in formula；pgThe realtime power of (t) power transmission network；m1T () is the power purchase electricity of power transmission network
Valency；LpjIt is distribution line total length, rpjIt is circuit unit length cost；PpbIt is system power capacity, ppjIt is unit distribution capacity
Cost, qpjIt is other information transformation of facility expense, xpyIt is O＆M cost conversion factor；m2T () is the grid-connected power of distributed power source
Electricity price；fpsIt is the carbon emission expense required for every kilogram of discharge；0.89 is every based on the converted thermoelectricity energy of related data statistics
Produce the amount of carbon dioxide of 1 kilowatt hour discharge, units/kg；WtotalThe generated energy of the conventional electric power generation energy is represented, power transmission network can be used
Off line Energy Equivalent；
The equation and inequality constraints condition of required satisfaction are as follows：
Alternatively, the rate of load condensate regulating cycle TbThe best electric price in (j), adjustable Load Regulation ratio and can cut off
The computational methods of Load Regulation amount are comprised the following steps：
Initial value assignment is carried out to formula one to each state variable of formula 11；
According to formula 12, if vector xiIt is optimizing particle, its component xij(j=1,2,3) Spot Price, adjustable is represented respectively
Section Load Regulation ratio and load curtailment regulated quantity, random generation optimizing space SnThe Initial component x of middle m particleij(0)(i
=1 ..., m), based on power distribution network Demand-side predicted load and the grid-connected power prediction value of distributed power source, using population optimizing
Algorithm for Solving.
With the local distribution network typical day load curve P shown in accompanying drawing 4L(t) and photovoltaic active power output curve PDERT () is
Research object.Sale of electricity valency and active distribution network cost benefit meter are supplied with reference to intermittent energy cost of surfing the net, active distribution network market
Calculation method, and emulate it is contemplated that following primary condition：
Load curtailment strategy parameter：mup=1.1, mlow=0.9, mmax=1.5, mmin=0.5, Mref=1.0 yuan/kwh；
ηmin_E=0.4, ηmax_E=ηexp=ηr=0.9, ηc=1, ε=0；Power distribution network Ppb=Pref=100MVA；Photovoltaic installed capacity：
24MW；
Load Respondence to the Price of Electric Power characteristic：f1(m(t)-mup)=0.5 (m (t) -1.1), f2(mlow- m (t))=0.4 (0.9-m
(t))；
Particle optimizing primary condition：Electricity price scope:[0.5 1.5]；R%, c% ∈ (0,1) and r%+c% ∈ (0,1)；m1
(t)=0.4 yuan/degree, m2(t)=1.0 yuan/degree, fps=300 yuan/ton, Lpj=500km, rpj=500 yuan/km, ppj=30000
Unit/MVA, xpy=5%.
Enter to exercise power distribution network typical load day fortune based on the optimal particle swarm optimization algorithm of grid benefit using accompanying drawing 2 Suo Shi
The optimal simulation study of battalion's benefit.Simulation result is as shown in accompanying drawing 3 and accompanying drawing 4.Wherein, accompanying drawing 3 is operation Spot Price change
Curve, P in accompanying drawing 4LT () is expressed as being provided without the power network total load of optimal utilization decision-making technique, PL' (t) expression employs optimal
The power network total load of Operation Decision method, PbT () is expressed as non-contract customer's load and exerts oneself, PrT () is expressed as adjustable user's electricity
Power load is exerted oneself, PCT () is expressed as that power consumer load can be interrupted and exerts oneself, PDERT () is expressed as photovoltaic and exerts oneself.From accompanying drawing 3
Optimal Spot Price operation scope is [0.87,1.42], analyzes the curve and understands electricity price curve peak valley substantially, in crest segment t=80
(24h point is 96 time periods herein, and each time period is 15min) electricity price is higher, this be due to now power network need for electricity compared with
Greatly, power network formulates electricity price " suppression " certain customers high electricity consumption；Similarly in paddy section t=15, load need for electricity is smaller, can formulate
Relatively low electricity price goes " attraction " user power utilization.Contrast the P of accompanying drawing 4L' (t) and PLT (), can observe " the peak clipping for seeing load curve
Fill valley " effect substantially, " is cut " during crest segment t=80, " is filled out " during paddy section t=50, and customer charge maximum not less than
User's distribution capacity of 100MVA；The rate of load condensate of system also in corresponding control range, spatial load forecasting scope for [0.752,
0.956].Can be observed by accompanying drawing 4 simultaneously, Pb(t) exert oneself with for be provided without the load of optimal method for running exert oneself it is identical；Pr(t)
Keep 43MW or so to exert oneself, show the adjustable information of adjustable load active response power network；PCT () maintains going out for 4MW or so
Power, shows that interruptible load cuts off related data by power network.
Using carrying based on the power distribution network operation benefits before and after the optimal Operation Decision method of differentiation electric cost to such as
Shown in table 1.
The power distribution network of table 1 is based on the operation benefits contrast after differentiation electric cost is runed before optimization
| Simulation result | Non-optimal operation result | Optimal operation result |
| Passive power distribution network benefit | 1594.4 ten thousand | 1594.4 ten thousand |
| Active distribution network benefit | 1652.1 ten thousand | 1865.1 ten thousand |
| Adjustable user's ratio | 0.44 | 0.47 |
| Interruptible load ratio | 0.15 | 0.07 |
| Electricity price runs scope | [0.77,1.38] | [0.87,1.42] |
| Active distribution network is always concluded the business electricity | 211.9 ten thousand degree | 203.8 ten thousand degree |
| Intermittent energy electricity | 25.9 ten thousand degree | 25.9 ten thousand degree |
| Average electricity price | 0.911 yuan/degree | 0.953 yuan/degree |
| Peak load rate | 0.989 | 0.956 |
| Ratio of minimum load to maximum load | 0.702 | 0.752 |
Table 1 shows that power distribution network is used and carried based on the operation benefits after the optimal Operation Decision method of differentiation electric cost
Significantly improve.Optimizing result shows in the power distribution network that distribution capacity is 100MVA, photovoltaic installed capacity is 24MVA, when adjustable
Save family and can interrupt user occupy total distribution capacity ratio be respectively 0.47 and 0.07, Spot Price price scope for [0.87,
When 1.42], the operation of power distribution network benefit is capable of achieving optimal.
The above is only the specific embodiment of the embodiment of the present invention, is made skilled artisans appreciate that or realizing
The present invention.Various modifications to these embodiments will be apparent to one skilled in the art, determine herein
The General Principle of justice can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, originally
Invention is not intended to be limited to the embodiments shown herein, and is to fit to and principles disclosed herein and features of novelty
Consistent scope most wide.
It should be appreciated that the application is not limited to the content for being described above and being shown in the drawings, and can
To carry out various modifications and changes without departing from the scope.Scope of the present application is only limited by appended claim.
Claims (10)
1. a kind of power distribution network method for running, it is characterised in that the method for running comprises the following steps：
The differentiation electric cost of S1 calculated load users；
Result of calculations of the S2 in S1, the confession electricity consumption agreement based on differentiation electric cost is signed with user；
S3 is interior in each electricity price regulating time section using the Spot Price pricing method based on expected load rate roll correction, to matching somebody with somebody
Network load carries out dynamic regulation.
2. method for running as claimed in claim 1, it is characterised in that the differentiation electric cost of the load user calculates public
Formula is as follows：
C in formulai(Tb(j)) for power consumer i in regulating cycle TbElectric cost in (j)；CibIt is the use counted by Spot Price
Electric cost；CirFor user i from sale of electricity company obtain compensation its response Load Regulation demand income or be not responding to regulatory demand
Punishment cost；CicFor user i the removed income of its interruptible load is compensated from what sale of electricity company obtained；αirAnd αicRespectively
For whether sale of electricity company carries out differentiation electric cost statistics to user i, statistics is represented equal to 1, represented equal to 0 and do not counted；pi
T () is the real-time burden with power of Demand-side user i；M (t) is Spot Price；tbsjAnd tbejRespectively j-th rate of load condensate regulation week
Phase TbThe first and last moment of (j)；β r and β c are respectively the preferential weight of electricity price of user response Load Regulation or excision demand；c(Tb
(j)) it is that Demand-side can adjust load in regulating cycle TbRegulation ratio in (j)；γi(Tb(j)) be can adjust to calculate user i
Load is in regulating cycle TbPreferential or punishment cost weight in (j).
3. method for running as claimed in claim 1, it is characterised in that described using the reality based on expected load rate roll correction
When electricity price pricing method, comprise the following steps：
S301, the Respondence to the Price of Electric Power characteristic model using Demand-side load, calculate the regulating cycle T in current power distribution network rate of load condensateb
The electricity price of (j)
S302, the Respondence to the Price of Electric Power characteristic model calculating using description price type loadDemand-side Load Regulation under effect
Amount
S303, using TbThe Demand-side load in (j) cycle and the predicted value of distributed grid-connected powerWithKnot
Close TbThe Respondence to the Price of Electric Power estimator of (j) cyclic load demandCalculating carries out TbThe rate of load condensate in (j) cycle
S304, calculating eliminate Tb(j) cyclic load rate estimate and expected load rate ηexpBetween deviation amendment after electricity price estimate
Value
4. method for running as claimed in claim 2, it is characterised in that the γi(Tb(j)) computing formula is as follows：IfThen have
Or
IfThen have
Sgn (x) is sign function in formula, if x >=0, sgn (x)=1, if x<0, sgn (x)=- 1.
5. method for running as claimed in claim 3, it is characterised in that the regulating cycle T in current power distribution network rate of load condensateb
The electricity price of (j)Computing formula it is as follows：
M (t) is Spot Price in formula；MrefIt is the reference data value of Spot Price；tbs(j-1)And tbe(j-1)Respectively jth -1 is born
Lotus rate regulating cycle Tb(j-1) the first and last moment；∑piT () represents the load aggregate demand of user；η Emax and η Emin are respectively profit
The expectation upper and lower bound of rate of load condensate is adjusted with electricity price；PpbIt is the active capacity of distribution transforming；mmaxAnd mminRespectively Spot Price value
Upper and lower bound；
The Demand-side Load Regulation amountComputing formula it is as follows：
P in formularefIt is the reference data value of Load Regulation amount；Represent customer charge demand sum total in Tb(j) cycle it is pre-
Measured value；mupAnd mlowRespectively price type load changes the upper and lower bound without response range to electricity price；For reflecting that each load is used
Family is in TbActive demand degree of (j) cycle to electric power；f1[m(t)/Mref–mup] and f2[mlow–m(t)/Mref] can be according to user
The Respondence to the Price of Electric Power Δ p of loadL/PrefAnd its electricity price regulated quantity is corresponded to therewithOr
F is determined using NUMERICAL MATCH METHOD FOR1Function or f2Function：
The TbThe rate of load condensate in (j) cycleComputing formula it is as follows：
Electricity price estimate after the amendmentComputing formula is as follows：
ε is to describe expected load rate η exp to fluctuate the deviation of scope in formula.
6. the method for running as any one of Claims 1 to 5, it is characterised in that also including based on probability Estimation cycle Tb
The regulation ratio of the adjustable load of agreement in (j)
η in formularFor the rate of load condensate setting value that rate of load condensate prevention and control start；n2Adjustable load is provided to be signed with sale of electricity company
Number of users；PicIf operating the adjustable burden with power sizes held of user i to sign to provide load and can adjust with Utilities Electric Co.；
RiRepresent the adjustable protocols User i of load in TbIf j the practical adjustments load in () cycle accounts for the ratio that agreement holds regulation load total amount
Example；f(Ri) it is to meet normal distribution N [c (Tb(j),σ2)] RiDistribution probability.
7. method for running as claimed in claim 6, it is characterised in that also including cycle TbThe use of agreement interruptible load in (j)
Amount, computing formula is as follows：
η in formulacTo start the rate of load condensate setting value of rate of load condensate Corrective control；n3It is the identified association for intending excision interruptible load
View number of users；PicIf for signed with Utilities Electric Co. load is provided can the burden with power the interrupted sizes held of interrupt operation user i.
8. method for running as claimed in claim 7, it is characterised in that the fortune of electric cost differentiation is also based on including power distribution network
The optimization of battalion's method, methods described comprises the following steps：
Sale of electricity company is set up in TbOptimal operation object function in (j) cycle；
Rate of load condensate regulating cycle T is solved using population optimizing algorithmbThe best electric price in (j), adjustable Load Regulation ratio and
Load curtailment regulated quantity；
Determine that sale of electricity company is based on Demand-side differentiation electric cost actively the electricity price operation scope of operation, adjustable load and can
The composition of interruptible load amount.
9. method for running as claimed in claim 8, it is characterised in that the optimal operation object function is as follows：
N is Demand-side load number of users in formula；pgThe realtime power of (t) power transmission network；m1T () is the purchase electricity price of power transmission network；
LpjIt is distribution line total length, rpjIt is circuit unit length cost；PpbIt is system power capacity, ppjFor unit distribution capacity is made
Valency, qpjIt is other information transformation of facility expense, xpyIt is O＆M cost conversion factor；m2T () is the grid-connected power electricity of distributed power source
Valency；fpsIt is the carbon emission expense required for every kilogram of discharge；0.89 is to count the converted thermoelectricity energy based on related data often to give birth to
Produce the amount of carbon dioxide of 1 kilowatt hour discharge, units/kg；WtotalThe generated energy of the conventional electric power generation energy is represented, can be with power transmission network
Network energy is equivalent；
The equation and inequality constraints condition of required satisfaction are as follows：
10. method for running as claimed in claim 8, it is characterised in that the rate of load condensate regulating cycle TbOptimal electricity in (j)
The computational methods of valency, adjustable Load Regulation ratio and load curtailment regulated quantity are comprised the following steps：
Initial value assignment is carried out to formula one to each state variable of formula 11；
According to formula 12, if vector xiIt is optimizing particle, its component xij(j=1,2,3) Spot Price is represented respectively, be can adjust and is born
Lotus adjusts ratio and load curtailment regulated quantity, random generation optimizing space SnThe Initial component x of middle m particleij(0) (i=
1 ..., m), based on power distribution network Demand-side predicted load and the grid-connected power prediction value of distributed power source, calculated using population optimizing
Method is solved.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108346112A (en) * | 2017-12-29 | 2018-07-31 | 广州亦云信息技术股份有限公司 | Medium and long-term transaction quantity division method, system, electronic equipment and storage medium |
| CN111340556A (en) * | 2020-02-29 | 2020-06-26 | 贵州电网有限责任公司 | Method for making peak-valley time-of-use electricity price of power grid considering flexible load |
| CN112653141A (en) * | 2020-12-18 | 2021-04-13 | 国网冀北综合能源服务有限公司 | Bidirectional interactive power distribution side electric energy response system and control method thereof |
-
2017
- 2017-02-13 CN CN201710076618.XA patent/CN106780156A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108346112A (en) * | 2017-12-29 | 2018-07-31 | 广州亦云信息技术股份有限公司 | Medium and long-term transaction quantity division method, system, electronic equipment and storage medium |
| CN108346112B (en) * | 2017-12-29 | 2022-01-18 | 广州亦云信息技术股份有限公司 | Medium and long term transaction electric quantity decomposition method, system, electronic equipment and storage medium |
| CN111340556A (en) * | 2020-02-29 | 2020-06-26 | 贵州电网有限责任公司 | Method for making peak-valley time-of-use electricity price of power grid considering flexible load |
| CN112653141A (en) * | 2020-12-18 | 2021-04-13 | 国网冀北综合能源服务有限公司 | Bidirectional interactive power distribution side electric energy response system and control method thereof |
| CN112653141B (en) * | 2020-12-18 | 2022-10-04 | 国网冀北综合能源服务有限公司 | Bidirectional interactive power distribution side electric energy response system and control method thereof |
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