CN110247408A - A kind of platform area three-phase imbalance administering method based on demand response - Google Patents
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Abstract
The invention discloses a kind of platform area three-phase imbalance administering method based on demand response, this method is by considering price type demand response and considering that the adjustment of power consumer electrical demand is uncertain, triangular fuzzy variable is introduced to indicate the custom power demand after implementation demand response to establish price type demand response fuzzy model, it is then based on Credibility Theory, based on the desired value of user power consumption, consider that power consumer electricity consumption and electricity consumption pay satisfaction, establishes the Fuzzy Chance Constrained Programming Model of platform area load adjustment；Fuzzy Chance Constraint is handled using clear equivalence class method, with the minimum target of platform area three-phase user power utilization deviation, the electricity price a few days ago of A, B, C three-phase power user are adjusted, while reaching reduction platform area tri-phase unbalance factor, platform area load peak-valley difference is reduced, the purpose of the electric cost of user is controlled.
Description
Technical field
The present invention relates to power harness technical fields more particularly to a kind of platform area three-phase imbalance based on demand response to control
Reason method.
Background technique
It is China's low-voltage power distribution station area Numerous, widely distributed, mostly three-phase four-wire power supply mode, wherein single-phase load
Occupy absolute specific gravity.Since each phase load spatial and temporal distributions are uneven, the three-phase imbalance phenomenon of platform area various degrees is long
The platform area that phase is in off-center operation state has the following problems: transformer and line loss increase；Heavily loaded phase voltage reduces, gently
It carries phase voltage to increase, electrical equipment is adversely affected；Reduce the operational efficiency and overload capacity of transformer；Transformer generates
Additional eddy-current loss, running temperature increase, and service life reduces.
Currently, platform area three-phase imbalance resolution mainly has following 4 kinds: 1) artificial offline Load adjustment phase sequence；The party
The access that case adjusts power consumer by the way of manually constructing on the spot is separate, and the adjustment period is difficult to determine, reliability is low, applies
Long between working hour, customer power supply interrupts during adjustment, and scheme is overall more to fall behind；2) alternate reactive compensation；The program is by becoming
Depressor low-pressure side, which installs the reactive power compensators such as shunt capacitor additional, realizes that three-phase imbalance is administered, but compensation way is inflexible,
The electric load of real-time change can not be adapted to, compensation effect is limited；3) three-phase load asymmetry tune is mended；The program passes through specific calculation
Method seeks compensation admittance, realizes that reactive compensation and three-phase current unbalance compensate simultaneously using shunt compensation network, but there is control
The problems such as system strategy is complicated, and treatment cost is high；4) low-voltage load phase-change switch is used；The program is by being mounted on transformer low voltage
The controlling terminal monitor station area tri-phase unbalance factor of side, when tri-phase unbalance factor is more prescribed a time limit, by specific control strategy to installation
Commutation instruction is issued in the phase-change switch of load side, real-time Load adjustment phase needs additional equipment to install and run dimension
Shield expense, higher cost.
In conclusion there are inefficiency, poor reliability, due to needing to pacify for existing area's three-phase imbalance resolution
It fills additional equipment and makes the higher problem for the treatment of cost.
Summary of the invention
The present invention is that there are inefficiency, poor reliability, due to needing for existing area's three-phase imbalance resolution of solution
Additional equipment is installed and makes the higher problem for the treatment of cost, provides a kind of platform area three-phase imbalance based on demand response
Administering method.
To realize the above goal of the invention, and the technological means used is:
A kind of platform area three-phase imbalance administering method based on demand response, comprising the following steps:
S1. uncertainty PBDR is modeled: the relationship between the load variations amount based on user and electricity price variable quantity, and not
The uncertainty of same type electricity price demand response, establishes PBDR model；Wherein the full name of PBDR is Price-Based DR, i.e. base
In the DR of electricity price；
S2. platform area three-phase imbalance Optimized model is established: based on three-phase electricity consumption desired value, to include electricity tariff constraint, electricity
The constraint condition of the constraint of power user power consumption, the constraint of electricity consumption satisfaction, with day three-phase electricity consumption desired value and three-phase electricity consumption
The minimum target of the quadratic sum of the difference of the average value of desired value establishes platform area three-phase imbalance Optimized model；
S3. described area's three-phase imbalance Optimized model is solved using clear equivalent method, obtains point of three-phase
Phase electricity price and three-phase electricity consumption desired value；
S4. three-phase electricity price is set a few days ago according to solving result, to complete three-phase imbalance improvement.
In above scheme, by considering price type demand response, price type demand response fuzzy model is established；Giving the settled date
On the basis of the load prediction curve of foreground partition, platform area three-phase imbalance Optimized model is established；Using clear equivalence class method to mould
Paste chance constraint is handled, with the minimum target of platform area three-phase user power utilization deviation, a few days ago to A, B, C three-phase power user
Electricity price is adjusted, and while reaching reduction platform area tri-phase unbalance factor, is reduced platform area load peak-valley difference, is controlled the electricity consumption of user
The purpose of cost, to realize that the platform area three-phase imbalance based on demand response is administered.
Preferably, become in the step S1 using the load variations amount and electricity price at price type demand elasticity matrix table requisition family
Relationship between change amount establishes certainty PBDR model；Then different type electricity price need are obtained by establishing Fuzzy Chance Constraint
The uncertainty for asking response establishes PBDR model.
Preferably, the specific steps of the step S1 include:
S11. the relationship between the load variations amount and electricity price variable quantity at family is taken over for use using price type demand elasticity matrix table,
Establish certainty PBDR model:
Wherein E is price type demand elasticity matrix, number of segment when T is total, subscriptFor user access separate mark,ForPhase user's t period initial electrical demand, i.e., total electricity consumption characterizes electricity needs in the t period；ForPhase t period initial electricity price；ForPhase user implements the electricity needs variable quantity after demand response the t period,ForPhase t
Period implements the electricity price variable quantity after demand response；
Wherein
S12. the electricity needs after implementation demand response is indicated by triangular fuzzy variable, by the ternary that clearly number is constituted
Group expression formula are as follows:
WhereinForPhase user implements the fuzzy expression of the electricity needs after demand response, L the t period1,L2,L3For
The degree of membership parameter of fuzzy expression,For the clear expression formula of electricity price, ω1,ω2,ω3For the ratio system for characterizing uncertain region
Number, the membership function of fuzzy expression are as follows:
In this preferred embodiment, since what is established based on price type demand elasticity matrix is certainty PBDR model,
But however the subjective desire that the implementation result of real price lattice demand response will receive power consumer influences, have it is certain not really
It is qualitative, therefore triangular fuzzy variable is introduced in this preferred embodiment to indicate the custom power demand after implementation demand response.
Preferably, the platform area three-phase imbalance Optimized model established in the step S2 specifically:
Electricity tariff constraint:
Wherein αminFor the corresponding proportionality coefficient of minimum value of electricity price allowable fluctuation range, αmaxFor electricity price allowable fluctuation range
The corresponding proportionality coefficient of maximum value；
The constraint of power consumer electricity consumption:
Wherein Cr { } is confidence level expression formula；βminMinimum value for each phase daily power consumption allowable fluctuation range is corresponding
Proportionality coefficient, βmaxFor the corresponding proportionality coefficient of maximum value of each phase daily power consumption allowable fluctuation range, α1For preset confidence
Degree；
The constraint of electricity consumption satisfaction:
WhereinFor the minimum allowable value of user power consumption satisfaction；α2For preset confidence level；
Objective function:
Wherein E () is that fuzzy variable desired value calculates operator；Lav,tFor t period A, B, C three-phase electricity consumption desired value
Average value；
In this preferred embodiment, according to platform area A, B, C three-phase power user volume desired value, by adjusting the electricity of day part a few days ago
Valence guidance user changes itself electricity consumption behavior, when establishing three-phase imbalance Optimized model, fully considers platform area overall operation shape
State takes into account power consumer consumption habit and interests.
Preferably, clear equivalent method described in step S3 specifically:
For the Fuzzy Chance Constraint of following form:
Wherein x is decision variable, and ξ is fuzzy variable set, ξk(k=1,2 ..., n) is trapezoidal fuzzy variable, quaternary
Group expression formula is (rk1,rk2,rk3,rk4), work as rk2=rk3When, it is triangular fuzzy variable that trapezoidal fuzzy variable, which is degenerated,；It is above-mentioned fuzzy
The clear equivalent form of chance constraint are as follows:
Wherein α is given confidence level,Meaning are as follows:
Wherein ∨ indicates to take the greater in the two, and ∧ indicates to take the opposite number of smaller in the two.
Preferably, power consumer electricity consumption in step S2 is constrained respectively using clear equivalent method in the step S3
Constraint expression formula and electricity consumption satisfaction constraint constraint expression formula handled, obtain certainty constraint expression formula, point
Not are as follows:
In this preferred embodiment, use clear equivalent method respectively to power consumer electricity consumption constraint constraint expression formula with
And the constraint expression formula of electricity consumption satisfaction constraint is handled, and the solution difficulty of model is reduced.
Preferably, in the step S3 using GUROBI solver to using clear equivalent method treated platform Qu Sanxiang
Uneven Optimized model is solved.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
By considering price type demand response and considering that the adjustment of power consumer electrical demand is uncertain, Triangle Module is introduced
Paste variable indicates to implement the custom power demand after demand response to establishing price type demand response fuzzy model, then base
In Credibility Theory, based on the desired value of user power consumption, considers that power consumer electricity consumption and electricity consumption pay satisfaction, build
The Fuzzy Chance Constrained Programming Model of the area Li Tai load adjustment；Using clear equivalence class method to Fuzzy Chance Constraint at
Reason, with the minimum target of platform area three-phase user power utilization deviation, is adjusted the electricity price a few days ago of A, B, C three-phase power user, reaches
To while reducing platform area tri-phase unbalance factor, platform area load peak-valley difference is reduced, the purpose of the electric cost of user is controlled.This hair
Bright administering method computational efficiency and high reliablity, while without installing additional equipment, reduce the improvement of three-phase imbalance
Cost.
Detailed description of the invention
Fig. 1 is the general flow chart of the method for the present invention.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
A kind of platform area three-phase imbalance administering method based on demand response, as shown in Figure 1, comprising the following steps:
S1. uncertainty PBDR is modeled: the relationship between the load variations amount based on user and electricity price variable quantity, and not
The uncertainty of same type electricity price demand response, establishes PBDR model；
S2. platform area three-phase imbalance Optimized model is established: based on three-phase electricity consumption desired value, to include electricity tariff constraint, electricity
The constraint condition of the constraint of power user power consumption, the constraint of electricity consumption satisfaction, with day three-phase electricity consumption desired value and three-phase electricity consumption
The minimum target of the quadratic sum of the difference of the average value of desired value establishes platform area three-phase imbalance Optimized model；
S3. described area's three-phase imbalance Optimized model is solved using clear equivalent method, obtains point of three-phase
Phase electricity price and three-phase electricity consumption desired value；
S4. three-phase electricity price is set a few days ago according to solving result, to complete three-phase imbalance improvement.
Embodiment 2
A kind of platform area three-phase imbalance administering method based on demand response, comprising the following steps:
S1. uncertainty PBDR is modeled: using the load variations amount and electricity price at price type demand elasticity matrix table requisition family
Relationship between variable quantity establishes certainty PBDR model；Then different type electricity price is obtained by establishing Fuzzy Chance Constraint
The uncertainty of demand response establishes PBDR model:
S11. the relationship between the load variations amount and electricity price variable quantity at family is taken over for use using price type demand elasticity matrix table,
Establish certainty PBDR model:
Wherein E is price type demand elasticity matrix, number of segment when T is total, using for 24 hours as time ruler in the present embodiment 2
It spends, is divided into 1h, subscript between day partFor user access separate mark,ForPhase user's t period is initial
Electricity needs, i.e., total electricity consumption characterizes electricity needs in the t period；ForPhase t period initial electricity price；ForPhase user t
Period implements the electricity needs variable quantity after demand response,ForThe phase t period implements the electricity price variable quantity after demand response；
Wherein
S12. the electricity needs after implementation demand response is indicated by triangular fuzzy variable, by the ternary that clearly number is constituted
Group expression formula are as follows:
WhereinForPhase user implements the fuzzy expression of the electricity needs after demand response, L the t period1,L2,L3For
The degree of membership parameter of fuzzy expression,For the clear expression formula of electricity price, ω1,ω2,ω3For the ratio system for characterizing uncertain region
Number, the membership function of fuzzy expression are as follows:
S2. platform area three-phase imbalance Optimized model is established: based on three-phase electricity consumption desired value, to include electricity tariff constraint, electricity
The constraint condition of the constraint of power user power consumption, the constraint of electricity consumption satisfaction, with day three-phase electricity consumption desired value and three-phase electricity consumption
The minimum target of the quadratic sum of the difference of the average value of desired value establishes platform area three-phase imbalance Optimized model；
The platform area three-phase imbalance Optimized model of foundation specifically:
Electricity tariff constraint:
Wherein αminFor the corresponding proportionality coefficient of minimum value of electricity price allowable fluctuation range, αmaxFor electricity price allowable fluctuation range
The corresponding proportionality coefficient of maximum value；
The constraint of power consumer electricity consumption:
Wherein Cr { } is confidence level expression formula；βminMinimum value for each phase daily power consumption allowable fluctuation range is corresponding
Proportionality coefficient, βmaxFor the corresponding proportionality coefficient of maximum value of each phase daily power consumption allowable fluctuation range, α1For preset confidence
Degree；
The constraint of electricity consumption satisfaction:
WhereinFor the minimum allowable value of user power consumption satisfaction；α2For preset confidence level；
Objective function:
Wherein E () is that fuzzy variable desired value calculates operator；Lav,tFor t period A, B, C three-phase electricity consumption desired value
Average value；
S3. the constraint expression formula and use power consumer electricity consumption in step S2 constrained respectively using clear equivalent method
The constraint expression formula of electricity satisfaction constraint is handled, and certainty constraint expression formula is obtained；Using GUROBI solver to adopting
With clear equivalent method, treated that platform area three-phase imbalance Optimized model is solved, and obtains the split-phase electricity price and three of three-phase
Phase electricity consumption desired value；
Clear equivalent method therein specifically:
For the Fuzzy Chance Constraint of following form:
Wherein x is decision variable, and ξ is fuzzy variable set, ξk(k=1,2 ..., n) is trapezoidal fuzzy variable, quaternary
Group expression formula is (rk1,rk2,rk3,rk4), work as rk2=rk3When, it is triangular fuzzy variable that trapezoidal fuzzy variable, which is degenerated,；It is above-mentioned fuzzy
The clear equivalent form of chance constraint are as follows:
Wherein α is given confidence level,Meaning are as follows:
Wherein ∨ indicates to take the greater in the two, and ∧ indicates to take the opposite number of smaller in the two.
The constraint expression formula and electricity consumption that power consumer electricity consumption in step S2 is constrained respectively using clear equivalent method
The constraint expression formula of amount satisfaction constraint is handled, and is obtained certainty constraint expression formula, is respectively as follows:
S4. three-phase electricity price is set a few days ago according to solving result, to complete three-phase imbalance improvement, that is, is passed through
Reached using the elasticity between electricity price and user demand and change user power utilization curve, administers the purpose of three-phase imbalance.
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent；
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (7)
1. a kind of platform area three-phase imbalance administering method based on demand response, which comprises the following steps:
S1. uncertainty PBDR is modeled: relationship and inhomogeneity between the load variations amount based on user and electricity price variable quantity
The uncertainty of type electricity price demand response, establishes PBDR model；
S2. platform area three-phase imbalance Optimized model is established: based on three-phase electricity consumption desired value, to include electricity tariff constraint, electric power use
The constraint condition of the constraint of family electricity consumption, the constraint of electricity consumption satisfaction, it is expected with day three-phase electricity consumption desired value and three-phase electricity consumption
The minimum target of the quadratic sum of the difference of the average value of value establishes platform area three-phase imbalance Optimized model；
S3. described area's three-phase imbalance Optimized model is solved using clear equivalent method, obtains the split-phase electricity of three-phase
Valence and three-phase electricity consumption desired value；
S4. three-phase electricity price is set a few days ago according to solving result, to complete three-phase imbalance improvement.
2. the platform area three-phase imbalance administering method according to claim 1 based on demand response, which is characterized in that described
Using the relationship between the load variations amount and electricity price variable quantity at price type demand elasticity matrix table requisition family in step S1, establish
Certainty PBDR model；Then the uncertainty of different type electricity price demand response is obtained by establishing Fuzzy Chance Constraint, built
Vertical PBDR model.
3. the platform area three-phase imbalance administering method according to claim 1 based on demand response, which is characterized in that described
The specific steps of step S1 include:
S11. it using the relationship between the load variations amount and electricity price variable quantity at price type demand elasticity matrix table requisition family, establishes
Certainty PBDR model:
Wherein E is price type demand elasticity matrix, number of segment when T is total, subscriptFor user access separate mark, ForPhase user's t period initial electrical demand, i.e., total electricity consumption characterizes electricity needs in the t period；ForPhase t period initial electricity price；ForPhase user implements the electricity needs variable quantity after demand response the t period,ForPhase
The t period implements the electricity price variable quantity after demand response；
Wherein
S12. the electricity needs after implementation demand response is indicated by triangular fuzzy variable, by the triple table that clearly number is constituted
Up to formula are as follows:
WhereinForPhase user implements the fuzzy expression of the electricity needs after demand response, L the t period1,L2,L3It is fuzzy
The degree of membership parameter of expression formula,For the clear expression formula of electricity price, ω1,ω2,ω3For characterize uncertain region proportionality coefficient,
The membership function of fuzzy expression are as follows:
4. the platform area three-phase imbalance administering method according to claim 3 based on demand response, which is characterized in that described
The platform area three-phase imbalance Optimized model established in step S2 specifically:
Electricity tariff constraint:
Wherein αminFor the corresponding proportionality coefficient of minimum value of electricity price allowable fluctuation range, αmaxMost for electricity price allowable fluctuation range
It is worth corresponding proportionality coefficient greatly；
The constraint of power consumer electricity consumption:
Wherein Cr { } is confidence level expression formula；βminFor the corresponding ratio of minimum value of each phase daily power consumption allowable fluctuation range
Coefficient, βmaxFor the corresponding proportionality coefficient of maximum value of each phase daily power consumption allowable fluctuation range, α1For preset confidence level；
The constraint of electricity consumption satisfaction:
WhereinFor the minimum allowable value of user power consumption satisfaction；α2For preset confidence level；
Objective function:
Wherein E () is that fuzzy variable desired value calculates operator；Lav,tFor being averaged for t period A, B, C three-phase electricity consumption desired value
Value；
5. the platform area three-phase imbalance administering method according to claim 4 based on demand response, which is characterized in that step
Clear equivalent method described in S3 specifically:
For the Fuzzy Chance Constraint of following form:
Wherein x is decision variable, and ξ is fuzzy variable set, ξk(k=1,2 ..., n) is trapezoidal fuzzy variable, four-tuple expression
Formula is (rk1,rk2,rk3,rk4), work as rk2=rk3When, it is triangular fuzzy variable that trapezoidal fuzzy variable, which is degenerated,；Above-mentioned fuzzy chance is about
The clear equivalent form of beam are as follows:
Wherein α is given confidence level,Meaning are as follows:
Wherein ∨ indicates to take the greater in the two, and ∧ indicates to take the opposite number of smaller in the two.
6. the platform area three-phase imbalance administering method according to claim 5 based on demand response, which is characterized in that in institute
State the constraint expression formula and use constrained respectively power consumer electricity consumption in step S2 in step S3 using clear equivalent method
The constraint expression formula of electricity satisfaction constraint is handled, and is obtained certainty constraint expression formula, is respectively as follows:
7. the platform area three-phase imbalance administering method according to claim 6 based on demand response, which is characterized in that described
It is carried out using GUROBI solver to using clear equivalent method treated platform area three-phase imbalance Optimized model in step S3
It solves.
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| CN114649815A (en) * | 2022-04-08 | 2022-06-21 | 沈阳农业大学 | Flexible load demand response method and device based on three-phase load unbalance |
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