CN106682933A - Direct trading method considering influence factors of grid losses for cross-district and cross-province power users - Google Patents
Direct trading method considering influence factors of grid losses for cross-district and cross-province power users Download PDFInfo
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Abstract
The invention belongs to the field of direct trading for large power users and particularly relates to a direct trading method considering influence factors of grid losses and using a centralized matching method for cross-district and cross-province power users. The direct trading method includes the steps of (1) the establishment of a mathematical model of direct electricity purchasing trade considering the grid losses for cross-district and cross-province power users; (2) a measuring method of the influence factors of the grid losses; (3) ordering rules of direct purchasing trade considering the grid losses for cross-district and cross-province large users; (4) a matching process of direct trading considering the grid losses for cross-district and cross-province large users. The direct trading method has the advantages of considering the influence of grid losses on the premise that the ordering rules of direct purchasing trade for cross-district and cross-province large users comply with the principle of 'price priority and energy conservation and environmental protection priority', allowing trading methods to be further elaborated, and being more beneficial for preserving the trade fairness of the power market.
Description
Technical field
The invention belongs to larger power user direct dealing field, and in particular to one kind considers Transmission Loss factor of influence, collection
In bring the transregional direct dealing method of power consumer transprovincially under mode together.
Background technology
Transregional large user transprovincially direct dealing refers to electricity power enterprise between different electrical networks and accesses high voltage grade, possesses
The power consumer of certain power purchase scale is directly traded, and signs trade contract, it is intended to take the mode of doing business of the marketization, fully
Using Power System Interconnection advantage, promote resource distribution and energy-saving and emission-reduction, ensure power balance and security provisions.Transregional large user transprovincially
The main market players of direct dealing is divided into sale of electricity main body, transmission of electricity main body and power purchase main body, and sale of electricity main body is mainly achieved with power-generating industry
The electricity power enterprise of business licensing;Transmission of electricity main body is the power grid enterprises achieved with transmission of electricity service certificate;Power purchase main body is to meet bar
The power consumer of part.Action organisation mode includes bilateral negotiation transaction, concentrates trade matching and concentration to list, difference transaction
The implementation method of mode is different, but is both needed to follow Different Rule and completes transaction, wherein, to concentrate the rule and algorithm of trade matching
The most complicated, transactions demand is declared by electric power transaction platform concentration by power consumer and electricity power enterprise, is pressed by electric power transaction platform
Clear principle is brought out together according to concentration be traded matching.Existing concentration bring together large user transregional transprovincially direct dealing that mode organizes by
Sequence is traded according to the principle of " price priority, energy-conserving and environment-protective are preferential " and is matched, consider and declare purchase of electricity, power purchase price
Equal weight factor, calculates purchase of electricity assigned sequence.
To promote clean energy resource development, direct dealing scope is met from the demand for saving introversive wider extension, need badly and add
The development of transregional large user transprovincially direct dealing is advanced soon.Market member geography due to participating in area large user direct dealing transprovincially
Position difference, causes each market member unit conclusion of the business electricity that Different Effects are produced to Transmission Loss, and transaction bids ordering rule also
It is considered as Transmission Loss factor of influence.
In prior art, Chen Xiying, Hu Jiangyi. large user and electricity power enterprise's direct dealing algorithm discussion. power system is certainly
Dynamicization .2008,32 (24):In the texts of 100-103 mono-, carry out the realistic meaning of Direct Purchase of Electric Energy by Large Users in analysis China and study big using
On the basis of the pluses and minuses of the straight power purchase transaction in family, build and concentrated the Direct Purchase of Electric Energy by Large Users Trading Model brought together under mode, target letter
Number is maximum for social welfare, i.e., the difference of " large user declares transaction cost " and " transaction cost is declared by electricity power enterprise " is maximum, transaction
Cost is declared value and the product for declaring electricity, and constraints is the constraint of hair electric quantity balancing, Generation Bidding in Electricity Market section conclusion of the business electricity
Constraint, power purchase quotation section conclusion of the business Constraint, access large user are allowed into Constraint, Generation Bidding in Electricity Market and conclusion of the business electricity tariff constraint
Deng.
The shortcoming of prior art:The market member geographical position for participating in transregional direct dealing transprovincially differs greatly, due to ground
The Transmission Loss difference that reason position is caused be can not ignore.Prior art is not examined when the transregional direct dealing of large user transprovincially is processed
Consider the Transmission Loss impact that different transaction are caused, easily cause power market transaction unfair.
The content of the invention
It is an object of the invention to consider to participate in the market member geographical position difference of transregional direct dealing transprovincially, cause each
Market member unit conclusion of the business electricity produces Different Effects to Transmission Loss, proposes network loss factor measure, proposes meter and transmits electricity
The transregional large user transprovincially that network loss affects directly hands over ordering rule of bidding, and so as to promote becoming more meticulous for method of commerce, safeguards electric power
Marketing fairness.Emphasis solves 2 problems:
1) degree that each market member unit conclusion of the business electricity affects on Transmission Loss in the direct dealing of transregional power consumer transprovincially
Amount;
2) the transregional power consumer transprovincially that meter and Transmission Loss affect directly hands over ordering rule of bidding.
Technical scheme is as follows:
1st, a kind of transregional direct dealing method of power consumer transprovincially for considering Transmission Loss factor of influence, it is characterised in that
Methods described comprises the steps:
(1) Mathematical Modeling of the transregional Direct Purchase of Electric Energy by Large Users transprovincially transaction for considering Transmission Loss is set up
The supposed premise of model:Only consider the Web-based exercise related to active power;Network loss and active power correlation compared with
Reactive power is strong, and the system node number more multioperation time is longer, is to accelerate calculating speed, ignores the impact of reactive power;
If number of users is n in Direct Purchase of Electric Energy by Large Users transaction, electricity power enterprise is m, the purchase electricity that user i is declared
Q is respectively with quotationBi、CBi, electricity sales amount and quotation respectively Q that electricity power enterprise j is declaredSi、CSi;
The Mathematical Modeling target of area's Direct Purchase of Electric Energy by Large Users transaction transprovincially is social benefit maximization, and optimized variable is each user
With the conclusion of the business electricity between each electricity power enterprise;
Object function:
In formula:QijFor the electricity that user i buys to electricity power enterprise j, alternating current amount;aijFor Wheeling rate, i.e. user i
The network fixed cost of unit transaction electricity between electricity power enterprise j;bijFor Transmission Loss factor of influence, i.e. user i and generating
The Web-based exercise of unit transaction electricity between enterprise j;
Constraints:
In formula,For the maximum that user i buys electricity, numerically to declare electricity QBi;For electricity power enterprise j
Go out the maximum of electricity sales amount, numerically to declare electricity QSi;pbThe power of branch road b, i.e. hour electricity after occurring for transaction;The maximum transfer capacity of branch road b;The branch road sum of BR;
The implication of formula (2) is that user i declares electricity from the electricity summation that all electricity power enterprises buy no more than it;Formula
(3) implication is that electric power enterprise j declares electricity to the electricity summation that all users sell no more than it;The implication of formula (4) is
Transaction blocks will not network;Wheeling rate a in formula (1)ijWith user i and electricity power enterprise's j path-dependents, determined using government
Valency criterion, when user, electric power enterprise position can be considered constant when determining;Formula (1) Transmission Loss factor of influence bijAlso with user i with
Electricity power enterprise's j path-dependents, are related to network trend, need individually research;
(2) measure of Transmission Loss factor of influence
Transmission Loss factor of influence of the present invention is adopted with the following method:
For the total network loss L formula of N node systems is
Network loss is the function of each node injecting power, is designated as L (P, Q);
J is the Jaccobi matrixes of power flow equation, can be obtained by formula (6):
In formula,Can be tried to achieve by the local derviation of formula (5);λP=[λP1,λP2,...λPN]TFor the active limit of each node
Loss factor vector;λQ=[λQ1,λQ2,...λQN]TFor the idle marginal loss coefficient vector of each node;
For PV node i, the variable quantity of the node reactive power will be compensated all by the node, thus will not be caused
Extra network loss, i.e. λQi=0;In the same manner, for balance nodes S, there is λPS=λQS=0;
In general, total network loss of system is mainly what is caused by active power in power transmission network, and what reactive power caused
Network loss only accounts for small part, so formula (8) can be further simplified as
It is by the network loss amount that causes of unit quantity of electricity transaction between user i and electricity power enterprise j
lij=λPi-λPj (10)
In view of the change of power system operating mode, it is to avoid Transmission Loss factor of influence Jing is often adjusted, and M kinds are typically run
Mode is respectively calculated Lij, Transmission Loss factor of influence bijIts mean value is taken, i.e.,
(3) the transregional large user transprovincially of meter and Transmission Loss directly purchases transaction ordering rule
Trade matching principle of ordering is:Large user's direct dealing transregional transprovincially that mode of brining together is organized is concentrated according to " price
Preferentially, energy-conserving and environment-protective are preferential " principle be traded sequence and match;1) consider after Wheeling rate, Transmission Loss factor of influence,
Bring buyer and seller price differential soprano together first, it is then secondary high until no deal electricity;2) under the conditions of price differential identical, generate electricity enterprise
Industry is ranked up according to the principle of energy-conserving and environment-protective, fired power generating unit after first wind/light/water clean energy resource unit, after first thermoelectricity large-sized unit
The little unit of thermoelectricity;
Trade matching ending-criterion is:1) what all sellers were declared go out electricity sales amount all concludes the business;2) all buyers
The electricity of buying declared all is concluded the business;3) seller price quotations not struck a bargain are higher than the buyer's quotation not struck a bargain.
(4) consider that process is brought in the transregional larger power user transprovincially direct dealing of Transmission Loss together
The Direct Purchase of Electric Energy by Large Users trade matching process of area transprovincially for considering Transmission Loss proposed by the present invention is as follows:
8) power exchange needs the information that in advance 5 working days should submit to the transaction agent issue transaction same day, such as
Transaction electricity, price, time etc.;
9) itself voluntary principle of equality, transaction agent submit to it is respective declares information, including purchase sell both sides declare electricity
Measure, declare the basic parameters such as quotation;
10) power exchange calculates the Transmission Loss factor between each node;
11) information that power exchange is submitted to according to each transaction agent, operates to form transaction and bring table together according to 5.3.1;
12) power exchange operates to form initial transaction queue according to 5.3.2;
13) power exchange forms final trade matching scheme, it is determined that respectively according to 5.3.3 operation amendment transaction queues
Transaction agent and its conclusion of the business electricity, conclusion of the business electricity price determines according to both parties' intermediate price;
14) Jing after Security Checking, constrained trading clearing result is formed.
Further, in the step (3), according to trade matching principle of ordering, closing the transaction criterion, while considering transmission of electricity
Electricity price and the Transmission Loss factor, the transregional large user transprovincially that the application is proposed directly purchases transaction ordering rule and generates mainly 3 rings
Section:Set up transaction and bring table together;Set up initial transaction queue;Amendment transaction queue;It is specific as follows:
(1) set up transaction and bring table together
For participate in transaction n large user, m electricity power enterprise, with large user as row, electricity power enterprise be row construction scale
Table T is brought in transaction for n*m together;For T, be about to large user (i=1,2 ..., n) press declared value CBiHigh to low sequence;Row will
Electricity power enterprise (j=1,2 ..., m) press declared value CSjSort from low to high;
I-th row jth column element TijTo consider Wheeling rate, the difference that large user offers with electricity power enterprise after network loss, if by buying
The transmission of electricity of family large user burden and cost of losses are C 'Bi=CBi-aij-bij, C 'Sj=CSj, then Tij=C 'Bi-C’Sj=CBi-CSj-
aij-bij;Tij<0 represents that large user's power purchase revised rate is less than electricity power enterprise's sale of electricity price, then the transaction be to contribution to society it is negative,
Not bring together;Tij=0 represents that large user's power purchase revised rate is equal to electricity power enterprise's sale of electricity price, then the transaction is to contribution to society
Zero, not bring together;Tij>0 represents that large user's power purchase revised rate is more than electricity power enterprise's sale of electricity price, then the transaction is to contribution to society
Just, to bring together;
(2) initial transaction queue is set up
Table T-shaped is brought together into initial transaction queue Z according to transaction;
3) each element in T is progressively scanned, if Tij<0 or Tij=0 is skipped, if Tij>0 by TijPlus enqueue Z ';
4) by each element value in Z ' by descending arrangement form initial transaction queue Z from big to small, the energy-conservation if numerical value is identical
Before environmentally friendly unit relationship trading is put;
3) the corresponding large user of Z each element, electricity power enterprise's numbering i, j (the correspondingly row, column of T) are recorded and its is each declared
Electricity QBi、QSj;
4) large user, the current complete transaction electricity RQ of electricity power enterprise are setBi=0 (i=1,2 ..., n), RQSj=0 (j=
1,2,...,m);
(3) transaction queue is corrected
Element in Z is scanned one by one by sequence number is ascending, transaction queue is constantly corrected in the process, handed over while determining
Easy electricity;
1) the corresponding large user of currentElement, electricity power enterprise's numbering i, j are read;
2) determine that the corresponding transaction electricity of currentElement is min { QBi-RQBi,QSj-RQSj};
3) the current complete transaction electricity RQ of large user is correctedBi=RQBi+min{QBi-RQBi,QSj-RQSj, correct electric power
The current complete transaction electricity RQ of enterpriseSj=RQSj+min{QBi-RQBi,QSj-RQSj};
If 4) RQBi=QBi, represent that the whole of large user i is declared transaction electricity and completed, then delete in Z after currentElement with
Large user i related all elements;If RQSj=QSj, represent that the whole of electric power enterprise j is declared transaction electricity and completed, then delete Z
The all elements related to electric power enterprise j after middle currentElement;
5) Z is updated.
Perform according to above trade matching ordering rule, all brining together into can be obtained according to revised transaction queue Z
The transaction of work(, and can determine the corresponding electricity of every transaction;In the process, transaction principle of ordering and closing the transaction criterion
Naturally meet, be also automatically obtained step (1) " considering the Mathematical Modeling of the Direct Purchase of Electric Energy by Large Users transaction of area transprovincially of Transmission Loss "
Solution.
The beneficial effects of the present invention is:
1) the transregional direct dealing model of large user transprovincially for proposing considers the impact of the Transmission Loss factor;
2) the Transmission Loss factor of influence measure for proposing has considered various methods of operation of electrical network, result of calculation
It is relatively stable, can empirically be worth solidification, it is easy to practical application;
3) the transregional large user transprovincially for proposing directly purchases transaction ordering rule and is deferring to " price priority, energy-conserving and environment-protective are preferential " original
On the premise of then, it can be considered that Transmission Loss affects so that method of commerce further becomes more meticulous, and is more beneficial for safeguarding electricity market
Justice of exchange.
Description of the drawings
Fig. 1 is that flow chart is brought in the transaction of the present invention together.
Specific embodiment
Below in conjunction with the accompanying drawings, technical scheme is specifically addressed.
1st, a kind of transregional direct dealing method of power consumer transprovincially for considering Transmission Loss factor of influence, it is characterised in that
Methods described comprises the steps:
(1) Mathematical Modeling of the transregional Direct Purchase of Electric Energy by Large Users transprovincially transaction for considering Transmission Loss is set up
The supposed premise of model:Only consider the Web-based exercise related to active power;Network loss and active power correlation compared with
Reactive power is strong, and the system node number more multioperation time is longer, is to accelerate calculating speed, ignores the impact of reactive power;
If number of users is n in Direct Purchase of Electric Energy by Large Users transaction, electricity power enterprise is m, the purchase electricity that user i is declared
Q is respectively with quotationBi、CBi, electricity sales amount and quotation respectively Q that electricity power enterprise j is declaredSi、CSi;
The Mathematical Modeling target of area's Direct Purchase of Electric Energy by Large Users transaction transprovincially is social benefit maximization, and optimized variable is each user
With the conclusion of the business electricity between each electricity power enterprise;
Object function:
In formula:QijFor the electricity that user i buys to electricity power enterprise j, alternating current amount;aijFor Wheeling rate, i.e. user i
The network fixed cost of unit transaction electricity between electricity power enterprise j;bijFor Transmission Loss factor of influence, i.e. user i and generating
The Web-based exercise of unit transaction electricity between enterprise j;
Constraints:
In formula,For the maximum that user i buys electricity, numerically to declare electricity QBi;For electricity power enterprise j
Go out the maximum of electricity sales amount, numerically to declare electricity QSi;pbThe power of branch road b, i.e. hour electricity after occurring for transaction;The maximum transfer capacity of branch road b;The branch road sum of BR;
The implication of formula (2) is that user i declares electricity from the electricity summation that all electricity power enterprises buy no more than it;Formula
(3) implication is that electric power enterprise j declares electricity to the electricity summation that all users sell no more than it;The implication of formula (4) is
Transaction blocks will not network;Wheeling rate a in formula (1)ijWith user i and electricity power enterprise's j path-dependents, determined using government
Valency criterion, when user, electric power enterprise position can be considered constant when determining;Formula (1) Transmission Loss factor of influence bijAlso with user i with
Electricity power enterprise's j path-dependents, are related to network trend, need individually research;
(2) measure of Transmission Loss factor of influence
According to Circuit theory, via net loss can not be calculated with principle of stacking.Accordingly, it is determined that Transmission Loss factor of influence
Method can not possibly set up on strict theoretical foundation.Transmission Loss factor of influence bijDetermination should follow:1. as far as possible
Truly reflect degree of each user using network;2. correct economic signals can be provided, most optimum distribution of resources is guided;3. it is right
Relevant party face should be as far as possible fair, should be relatively fixed, it is to avoid Jing is often adjusted;4. the trend being based on should try one's best and real tide
Stream is consistent.
Transmission Loss factor of influence of the present invention is adopted with the following method:
For the total network loss L formula of N node systems is
Network loss is the function of each node injecting power, is designated as L (P, Q);
J is the Jaccobi matrixes of power flow equation, can be obtained by formula (6):
In formula,Can be tried to achieve by the local derviation of formula (5);λP=[λP1,λP2,...λPN]TFor the active limit of each node
Loss factor vector;λQ=[λQ1,λQ2,...λQN]TFor the idle marginal loss coefficient vector of each node;
For PV node i, the variable quantity of the node reactive power will be compensated all by the node, thus will not be caused
Extra network loss, i.e. λQi=0;In the same manner, for balance nodes S, there is λPS=λQS=0;
In general, total network loss of system is mainly what is caused by active power in power transmission network, and what reactive power caused
Network loss only accounts for small part, so formula (8) can be further simplified as
It is by the network loss amount that causes of unit quantity of electricity transaction between user i and electricity power enterprise j
lij=λPi-λPj (10)
In view of the change of power system operating mode, it is to avoid Transmission Loss factor of influence Jing is often adjusted, and M kinds are typically run
Mode is respectively calculated Lij, Transmission Loss factor of influence bijIts mean value is taken, i.e.,
(3) the transregional large user transprovincially of meter and Transmission Loss directly purchases transaction ordering rule
Trade matching principle of ordering is:Large user's direct dealing transregional transprovincially that mode of brining together is organized is concentrated according to " price
Preferentially, energy-conserving and environment-protective are preferential " principle be traded sequence and match;1) consider after Wheeling rate, Transmission Loss factor of influence,
Bring buyer and seller price differential soprano together first, it is then secondary high until no deal electricity;2) under the conditions of price differential identical, generate electricity enterprise
Industry is ranked up according to the principle of energy-conserving and environment-protective, fired power generating unit after first wind/light/water clean energy resource unit, after first thermoelectricity large-sized unit
The little unit of thermoelectricity;
Trade matching ending-criterion is:1) what all sellers were declared go out electricity sales amount all concludes the business;2) all buyers
The electricity of buying declared all is concluded the business;3) seller price quotations not struck a bargain are higher than the buyer's quotation not struck a bargain.
A kind of transregional power consumer direct dealing transprovincially for considering Transmission Loss factor of influence according to claim 1
Method, the transregional large user transprovincially that the application is proposed directly purchases transaction ordering rule and generates mainly 3 links:Set up transaction to bring together
Table;Set up initial transaction queue;Amendment transaction queue;It is specific as follows:
(3.1) set up transaction and bring table together
For participate in transaction n large user, m electricity power enterprise, with large user as row, electricity power enterprise be row construction scale
Table T is brought in transaction for n*m together;For T, be about to large user (i=1,2 ..., n) press declared value CBiHigh to low sequence;Row will
Electricity power enterprise (j=1,2 ..., m) press declared value CSjSort from low to high;
I-th row jth column element TijTo consider Wheeling rate, the difference that large user offers with electricity power enterprise after network loss, if by buying
The transmission of electricity of family large user burden and cost of losses are C 'Bi=CBi-aij-bij, C 'Sj=CSj, then Tij=C 'Bi-C’Sj=CBi-CSj-
aij-bij;Tij<0 represents that large user's power purchase revised rate is less than electricity power enterprise's sale of electricity price, then the transaction be to contribution to society it is negative,
Not bring together;Tij=0 represents that large user's power purchase revised rate is equal to electricity power enterprise's sale of electricity price, then the transaction is to contribution to society
Zero, not bring together;Tij>0 represents that large user's power purchase revised rate is more than electricity power enterprise's sale of electricity price, then the transaction is to contribution to society
Just, to bring together;
Table T is brought in the transaction of table 1 together
(3.2) initial transaction queue is set up
Table T-shaped is brought together into initial transaction queue Z according to transaction;
1) each element in T is progressively scanned, if Tij<0 or Tij=0 is skipped, if Tij>0 by TijPlus enqueue Z ';
2) by each element value in Z ' by descending arrangement form initial transaction queue Z from big to small, the energy-conservation if numerical value is identical
Before environmentally friendly unit relationship trading is put;
3) the corresponding large user of Z each element, electricity power enterprise's numbering i, j (the correspondingly row, column of T) are recorded and its is each declared
Electricity QBi、QSj;
4) large user, the current complete transaction electricity RQ of electricity power enterprise are setBi=0 (i=1,2 ..., n), RQSj=0 (j=
1,2,...,m);
(3.3) transaction queue is corrected
Element in Z is scanned one by one by sequence number is ascending, transaction queue is constantly corrected in the process, handed over while determining
Easy electricity;
1) the corresponding large user of currentElement, electricity power enterprise's numbering i, j are read;
2) determine that the corresponding transaction electricity of currentElement is min { QBi-RQBi,QSj-RQSj};
3) the current complete transaction electricity RQ of large user is correctedBi=RQBi+min{QBi-RQBi,QSj-RQSj, correct electric power
The current complete transaction electricity RQ of enterpriseSj=RQSj+min{QBi-RQBi,QSj-RQSj};
If 4) RQBi=QBi, represent that the whole of large user i is declared transaction electricity and completed, then delete in Z after currentElement with
Large user i related all elements;If RQSj=QSj, represent that the whole of electric power enterprise j is declared transaction electricity and completed, then delete Z
The all elements related to electric power enterprise j after middle currentElement;
5) Z is updated;
Perform according to above trade matching ordering rule, all brining together into can be obtained according to revised transaction queue Z
The transaction of work(, and can determine the corresponding electricity of every transaction;In the process, transaction principle of ordering and closing the transaction criterion
Naturally meet, be also automatically obtained step (1) " considering the Mathematical Modeling of the Direct Purchase of Electric Energy by Large Users transaction of area transprovincially of Transmission Loss "
Solution.
(4) consider that process is brought in the transregional larger power user transprovincially direct dealing of Transmission Loss together
The Direct Purchase of Electric Energy by Large Users trade matching process of area transprovincially for considering Transmission Loss proposed by the present invention is as follows:
1) power exchange needs the information that in advance 5 working days should submit to the transaction agent issue transaction same day, such as
Transaction electricity, price, time etc.;
2) itself voluntary principle of equality, transaction agent submit to it is respective declares information, including purchase sell both sides declare electricity
Measure, declare the basic parameters such as quotation;
3) power exchange calculates the Transmission Loss factor between each node;
4) information that power exchange is submitted to according to each transaction agent, operates to form transaction and bring table together according to 5.3.1;
5) power exchange operates to form initial transaction queue according to 5.3.2;
6) power exchange forms final trade matching scheme according to 5.3.3 operation amendment transaction queues, determines each friendship
Easy main body and its conclusion of the business electricity, conclusion of the business electricity price determines according to both parties' intermediate price;
7) Jing after Security Checking, constrained trading clearing result is formed.
Claims (2)
1. it is a kind of consider Transmission Loss factor of influence the transregional direct dealing method of power consumer transprovincially, it is characterised in that it is described
Method comprises the steps:
(1) Mathematical Modeling of the transregional Direct Purchase of Electric Energy by Large Users transprovincially transaction for considering Transmission Loss is set up
The supposed premise of model:Only consider the Web-based exercise related to active power;Network loss is more idle with active power correlation
Power is strong, and the system node number more multioperation time is longer, is to accelerate calculating speed, ignores the impact of reactive power;
If number of users is n in Direct Purchase of Electric Energy by Large Users transaction, electricity power enterprise is m, purchase electricity and report that user i is declared
Valency is respectively QBi、CBi, electricity sales amount and quotation respectively Q that electricity power enterprise j is declaredSi、CSi;
Transprovincially area's Direct Purchase of Electric Energy by Large Users transaction Mathematical Modeling target be social benefit maximize, optimized variable be each user with it is each
Conclusion of the business electricity between electricity power enterprise;
Object function:
In formula:QijFor the electricity that user i buys to electricity power enterprise j, alternating current amount;aijFor Wheeling rate, i.e. user i and generating
The network fixed cost of unit transaction electricity between enterprise j;bijFor Transmission Loss factor of influence, i.e. user i and electricity power enterprise j it
Between unit conclude the business electricity Web-based exercise;
Constraints:
In formula,For the maximum that user i buys electricity, numerically to declare electricity QBi;For electricity power enterprise j sales
The maximum of electricity, numerically to declare electricity QSi;pbThe power of branch road b, i.e. hour electricity after occurring for transaction;
The maximum transfer capacity of road b;The branch road sum of BR;
The implication of formula (2) is that user i declares electricity from the electricity summation that all electricity power enterprises buy no more than it;Formula (3)
Implication is that electric power enterprise j declares electricity to the electricity summation that all users sell no more than it;The implication of formula (4) is to conclude the business not
Block can network;Wheeling rate a in formula (1)ijWith user i and electricity power enterprise's j path-dependents, the standard that valorizes is adopted
Then, when user, electric power enterprise position can be considered constant when determining;Formula (1) Transmission Loss factor of influence bijAlso with user i and generating
Enterprise's j path-dependents, are related to network trend, need individually research;
(2) measure of Transmission Loss factor of influence
Transmission Loss factor of influence of the present invention is adopted with the following method:
For the total network loss L formula of N node systems is
Network loss is the function of each node injecting power, is designated as L (P, Q);
J is the Jaccobi matrixes of power flow equation, can be obtained by formula (6):
In formula,Can be tried to achieve by the local derviation of formula (5);λP=[λP1,λP2,...λPN]TFor the active marginal loss of each node
Coefficient vector;λQ=[λQ1,λQ2,...λQN]TFor the idle marginal loss coefficient vector of each node;
For PV node i, the variable quantity of the node reactive power will be compensated all by the node, thus will not cause extra
Network loss, i.e. λQi=0;In the same manner, for balance nodes S, there is λPS=λQS=0;
In general, total network loss of system is mainly what is caused by active power in power transmission network, and the network loss that reactive power causes
Small part is only accounted for, so formula (8) can be further simplified as
It is by the network loss amount that causes of unit quantity of electricity transaction between user i and electricity power enterprise j
lij=λPi-λPj (10)
In view of the change of power system operating mode, it is to avoid Transmission Loss factor of influence Jing is often adjusted, to the typical method of operation of M kinds
It is respectively calculated Lij, Transmission Loss factor of influence bijIts mean value is taken, i.e.,
(3) the transregional large user transprovincially of meter and Transmission Loss directly purchases transaction ordering rule
Trade matching principle of ordering is:Concentration bring together large user transregional transprovincially direct dealing that mode organizes according to " price priority,
Energy-conserving and environment-protective are preferential " principle be traded sequence and match;1) consider after Wheeling rate, Transmission Loss factor of influence, first
Bring buyer and seller price differential soprano together, it is then secondary high until no deal electricity;2) under the conditions of price differential identical, electricity power enterprise presses
It is ranked up according to the principle of energy-conserving and environment-protective, fired power generating unit after first wind/light/water clean energy resource unit, thermoelectricity after first thermoelectricity large-sized unit
Little unit;
Trade matching ending-criterion is:1) what all sellers were declared go out electricity sales amount all concludes the business;2) all buyer institutes Shen
The electricity of buying of report is all concluded the business;3) seller price quotations not struck a bargain are higher than the buyer's quotation not struck a bargain;
(4) consider that process is brought in the transregional larger power user transprovincially direct dealing of Transmission Loss together
The Direct Purchase of Electric Energy by Large Users trade matching process of area transprovincially for considering Transmission Loss proposed by the present invention is as follows:
1) power exchange needs the information that in advance 5 working days should submit to the transaction agent issue transaction same day, such as concludes the business
Electricity, price, time etc.;
2) itself voluntary principle of equality, transaction agent submit to it is respective declares information, including purchase sell both sides declare electricity, Shen
The basic parameters such as report quotation;
3) power exchange calculates the Transmission Loss factor between each node;
4) information that power exchange is submitted to according to each transaction agent, operates to form transaction and bring table together according to 5.3.1;
5) power exchange operates to form initial transaction queue according to 5.3.2;
6) power exchange forms final trade matching scheme according to 5.3.3 operation amendment transaction queues, determines each transaction master
Body and its conclusion of the business electricity, conclusion of the business electricity price determines according to both parties' intermediate price;
7) Jing after Security Checking, constrained trading clearing result is formed.
2. it is according to claim 1 it is a kind of consider Transmission Loss factor of influence transregional power consumer direct dealing side transprovincially
Method, it is characterised in that in the step (3), according to trade matching principle of ordering, closing the transaction criterion, while considering transmission of electricity electricity
Valency and the Transmission Loss factor, the transregional large user transprovincially that the application is proposed directly purchases transaction ordering rule and generates mainly 3 links:
Set up transaction and bring table together;Set up initial transaction queue;Amendment transaction queue;It is specific as follows:
(1) set up transaction and bring table together
For the n large user, the m electricity power enterprise that participate in transaction, with large user as row, electricity power enterprise be row construction scale as n*
Table T is brought in the transaction of m together;For T, be about to large user (i=1,2 ..., n) press declared value CBiHigh to low sequence;Row will generate electricity
Enterprise (j=1,2 ..., m) press declared value CSjSort from low to high;
I-th row jth column element TijThe difference of large user and electricity power enterprise's quotation after to consider Wheeling rate, network loss, if big by buyer
Burden for users is transmitted electricity and cost of losses is C'Bi=CBi-aij-bij, C 'Sj=CSj, then Tij=C 'Bi-C’Sj=CBi-CSj-aij-bij;
Tij<0 represents that large user's power purchase revised rate is less than electricity power enterprise's sale of electricity price, then the transaction is negative to contribution to society, is not scooped up
Close;Tij=0 represents that large user's power purchase revised rate is equal to electricity power enterprise's sale of electricity price, then the transaction is zero to contribution to society, no
Give and brining together;Tij>0 represents that large user's power purchase revised rate is more than electricity power enterprise's sale of electricity price, then the transaction to contribution to society for just,
Can bring together;
(2) initial transaction queue is set up
Table T-shaped is brought together into initial transaction queue Z according to transaction;
1) each element in T is progressively scanned, if Tij<0 or Tij=0 is skipped, if Tij>0 by TijPlus enqueue Z ';
2) by each element value in Z ' by descending arrangement form initial transaction queue Z from big to small, the energy-conserving and environment-protective if numerical value is identical
Before unit relationship trading is put;
3) the corresponding large user of Z each element, electricity power enterprise's numbering i, j (the correspondingly row, column of T) are recorded and its electricity is each declared
QBi、QSj;
4) large user, the current complete transaction electricity RQ of electricity power enterprise are setBi=0 (i=1,2 ..., n), RQSj=0 (j=1,
2,...,m);
(3) transaction queue is corrected
Element in Z is scanned one by one by sequence number is ascending, transaction queue is constantly corrected in the process, while determining transaction electricity
Amount;
1) the corresponding large user of currentElement, electricity power enterprise's numbering i, j are read;
2) determine that the corresponding transaction electricity of currentElement is min { QBi-RQBi,QSj-RQSj};
3) the current complete transaction electricity RQ of large user is correctedBi=RQBi+min{QBi-RQBi,QSj-RQSj, correct electric power enterprise
Current complete transaction electricity RQSj=RQSj+min{QBi-RQBi,QSj-RQSj};
If 4) RQBi=QBi, represent that the whole of large user i is declared transaction electricity and completed, then delete in Z after currentElement with large user
I related all elements;If RQSj=QSj, represent that the whole of electric power enterprise j is declared transaction electricity and completed, then delete current in Z
The all elements related to electric power enterprise j after element;
5) Z is updated
Perform according to above trade matching ordering rule, all brining together successfully can be obtained according to revised transaction queue Z
Transaction, and can determine the corresponding electricity of every transaction;In the process, transaction principle of ordering and closing the transaction criterion nature
Meet, be also automatically obtained asking for step (1) " considering the Mathematical Modeling of the Direct Purchase of Electric Energy by Large Users transaction of area transprovincially of Transmission Loss "
Solution.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101794424A (en) * | 2010-01-29 | 2010-08-04 | 华东电网有限公司 | Self-adaptive unified power market transaction method |
CN105743131A (en) * | 2016-04-07 | 2016-07-06 | 东南大学 | Distributed active power economic allocation method considering line loss for microgrid |
CN105825348A (en) * | 2016-04-06 | 2016-08-03 | 国电南瑞科技股份有限公司 | Method for quantitatively analyzing influence exerted by bilateral trade on power grid power transmission cost |
-
2016
- 2016-10-10 CN CN201610882170.6A patent/CN106682933B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101794424A (en) * | 2010-01-29 | 2010-08-04 | 华东电网有限公司 | Self-adaptive unified power market transaction method |
CN105825348A (en) * | 2016-04-06 | 2016-08-03 | 国电南瑞科技股份有限公司 | Method for quantitatively analyzing influence exerted by bilateral trade on power grid power transmission cost |
CN105743131A (en) * | 2016-04-07 | 2016-07-06 | 东南大学 | Distributed active power economic allocation method considering line loss for microgrid |
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---|---|---|---|---|
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CN112330486A (en) * | 2020-10-29 | 2021-02-05 | 长沙理工大学 | Listing transaction optimization decision method for cross-regional tie line state abnormity |
CN112330486B (en) * | 2020-10-29 | 2024-06-11 | 长沙理工大学 | Cross-region contact line state abnormality listing transaction optimization decision-making method |
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CN115660208B (en) * | 2022-11-10 | 2024-06-07 | 国网冀北电力有限公司计量中心 | Power grid enterprise monthly electricity purchasing optimization method considering responsibility weight |
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