CN107240016A - A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints - Google Patents
A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints Download PDFInfo
- Publication number
- CN107240016A CN107240016A CN201710355749.1A CN201710355749A CN107240016A CN 107240016 A CN107240016 A CN 107240016A CN 201710355749 A CN201710355749 A CN 201710355749A CN 107240016 A CN107240016 A CN 107240016A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msup
- msubsup
- msub
- mtd
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Public Health (AREA)
- Tourism & Hospitality (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Technology Law (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints, in bilateral negotiation transaction simulation process, by the uncertainty for setting up, deleting mode of doing business mock trading process at random；In order to meet trend constraint, distribution factor is shifted by user's load curve and electric network swim and paid attention to.In addition, the present invention also demonstrates the convergence of put forward bilateral negotiation emulation mode, it is ensured that the adaptability that institute's extracting method is simulated to extensive direct dealing.Compared with prior art, the present invention has and Network Security Constraints are included into over-the-counter-market gone out in clear constraints, the advantages of helping to solve the problems such as current China's electric power direct dealing Security Checking is difficult to effective carry out.
Description
Technical field
Field is emulated the present invention relates to electricity transaction, is handed over more particularly, to a kind of bilateral negotiation based on Network Security Constraints
Easy emulation mode.
Background technology
The trade at competitive price mechanism of electricity market is generally divided into bilateral transaction and trade matching both of which both at home and abroad at present.
Bilateral transaction refers to that purchase is sold both sides and directly consulted, it is determined that transaction electricity, trade off curve and transaction value, through electric power
Dispatch after the confirmation of mechanism of exchange Security Checking, both sides sign the mode of doing business of bilateral transaction contract.
Trade matching refer to power purchase side or sale of electricity side declare electricity (or electric power) and correspondence electricity price, power purchase side according to quotation by
High to Low carry out priority ranking, sale of electricity side carries out priority ranking from low to high according to conversion sequence valency, is meeting necessarily
Under the conditions of network constraint, bring purchase together by trading algorithms and sell the mode of doing business that both sides strike a bargain.It is generally divided into and singly buys (or singly selling)
Two kinds of forms of unilateral trade matching and the bilateral trade matching of over-bought oversold.
Direct dealing emulation mode has a common defect in currently available technology, and network security is not accounted for exactly about
Beam.Substantially, electric power direct dealing only considers electric quantity balancing, lacks Electric Power Real-time Balancing mechanism, it is impossible to it is real meet electric power hair,
It is defeated, match somebody with somebody, with the requirement of the physical attribute of Real-time Balancing, also exactly current China's electric power direct dealing electricity accounting is high for this, safety
Check the main cause for being difficult to really effectively deploy.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind is based on network security
The bilateral negotiation transaction emulation mode of constraint.There are various problems in the present invention, carry for current electric power direct dealing emulation field
Go out to consider Network Security Constraints, the electric power bilateral negotiation transaction emulation mode suitable for different trade modes, be theory analysis electricity
Power direct dealing provides effective tool.In bilateral negotiation transaction simulation process, by setting up at random, deleting mode of doing business mould
Intend the uncertainty of process of exchange；In order to meet trend constraint, distribution factor is shifted by user's load curve and electric network swim
Pay attention to.In addition, also demonstrating the convergence of put forward bilateral negotiation emulation mode herein, it is ensured that institute's extracting method is to extensive
The adaptability of direct dealing simulation.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints, described bilateral negotiation transaction emulation passes through
Random foundation, deletion mode of doing business meet Network Security Constraints condition, and described bilateral negotiation transaction emulation mode includes following
Step：
S1, randomly select a pair of Power Generations and user, the gate time section cumulative unit interval；
S2, judge whether Power Generation and user set up direct dealing, if it has, then step S3 is carried out, if it has not, then carrying out
Step S4；
S3, the optimization computation model for solving the progress deletion transaction by masters of Power Generation, judge whether feasible solution,
S1 is returned to after being updated the data in the presence of if, if the progress step S5 in the absence of if；
S4, solution carry out setting up the optimization computation model of transaction by masters of Power Generation, judge whether feasible solution,
S1 is returned to after being updated the data in the presence of if, if the progress step S5 in the absence of if；
S5, solution carry out setting up the optimization computation model of transaction by masters of user, judge whether feasible solution, if
In the presence of S1 is returned after then updating the data, if the progress step S6 in the absence of if；
S6, judge whether gate time section is more than setting value, if it is otherwise, it returns to S1, if YES then to terminate output imitative for emulation
True result.
By masters of Power Generation, the object function of the optimization computation model of progress deletion transaction is in S3：
Meet constraints：
Wherein,ρmFor Power Generation Cost Offer, γn' it is to delete
Except customer quote in process of exchange；
H converts the direct dealing cycle to hour；
gtFor moment t trade network；
T is the T-D tariff that government appraises and decides；
Δmn′To carry out deleting the trading volume of transaction between Power Generation and user；
ΔmnFor the transaction electricity between Power Generation and user；
Exerted oneself p for Power Generation mmLower limit；
Exerted oneself p for Power Generation mmThe upper limit；
It is Power Generation m in the corresponding electricity sales amounts of period h；
To set up the quantity division coefficient in process of exchange；
To delete the quantity division coefficient in process of exchange；
The trading volume set up for Power Generation m and user n；
For user's n ' loads qN,Maximum；
It is user n ' in the corresponding electricity sales amounts of period h.
The object function for carrying out deleting the optimization computation model of transaction by masters of Power Generation also meets network security about
Beam condition：
Wherein, Jlm、Jln、Jln’Respectively circuit l turns to the trend of bus nodes where Power Generation m, user n, user n '
Move distribution factor PTDF；
FlFor safe absolute value；
To set up the quantity division coefficient in process of exchange；
The trading volume set up for Power Generation m and user n；
fl h,tFor circuit l period h trend；
To delete the quantity division coefficient in process of exchange；
Δmn′To carry out deleting the trading volume of transaction between Power Generation and user；
L is circuit sum；
H is direct dealing cycle of the conversion to hour.
By masters of Power Generation, the object function for the optimization computation model that transaction is set up in progress is in S4：
Meet constraints：
(1/2·T-αmn)Δmn≤0
Wherein, αmn=(ρm+γn)/2-ρm=γn-(ρm+γn)/2, ρmFor Power Generation Cost Offer, γnTo set up transaction
During customer quote；
ΔmnFor the trading volume between Power Generation and user；
T is the T-D tariff that government appraises and decides；
Exerted oneself p for Power Generation mmLower limit；
Exerted oneself p for Power Generation mmThe upper limit；
It is Power Generation m in the corresponding electricity sales amounts of period h；
To set up the quantity division coefficient in process of exchange；
For user's n loads qnMaximum；
It is user n in the corresponding electricity sales amounts of period h；
H is direct dealing cycle of the conversion to hour；
gt+1For moment t+1 trade network.
By masters of Power Generation, the object function for the optimization computation model that transaction is set up in progress also meets network security about
Beam condition：
Wherein, Jlm、JlnPower flow transfer distribution factors of the respectively circuit l to bus nodes where Power Generation m, user n
PTDF；
FlFor safe absolute value；
fl h,tFor circuit l period h trend；
To set up the quantity division coefficient in process of exchange；
L is circuit sum；
H is direct dealing cycle of the conversion to hour；
gt+1For moment t+1 trade network；
ΔmnFor the transaction electricity between Power Generation and user.
Compared with prior art, the present invention has advantages below：
1) consideration trading object, the probabilistic bilateral negotiation electric power direct dealing emulation side of transaction order are proposed first
Method；
2) Network Security Constraints are included into over-the-counter-market first to go out in clear constraints, helps to solve current China
The problems such as electric power direct dealing Security Checking is difficult to effective carry out, is that further theoretical deposit has been done in expansion to direct dealing scale；
3) be market surpervision person, market individual analyse in depth research bilateral negotiation transaction provide effective emulation tool.
Brief description of the drawings
Fig. 1 is direct dealing network；
Fig. 2 is bilateral negotiation transaction simulation algorithm flow chart；
Fig. 3 is 4 meshed network wiring diagrams；
Fig. 4 is load chart.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is a part of embodiment of the present invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other reality that those of ordinary skill in the art are obtained on the premise of creative work is not made
Example is applied, should all belong to the scope of protection of the invention.
Embodiment
1 bilateral negotiation transaction emulation
1.1 basic assumption
Bilateral negotiation transaction refers to that electricity power enterprise and power consumer determine direct dealing purpose by bilateral negotiation, and through adjusting
Mechanism Security Checking is spent, while paying the mode of doing business of relevant power expense to power network.It is different from concentrating trade matching, bilateral association
The maximum difficult point of business's transaction simulation is to need to consider trading object and the uncertainty of trading order.
Therefore, doing hypothesis below to bilateral negotiation transaction emulation herein：1), assume that market individual is all that rationality is gone after profit or gain individual
Body, realizes that self benefits are maximized by setting up or deleting bilateral transaction mode；2), assume that each bilateral negotiation process of exchange exists
Carried out between the Power Generation-user couple randomly selected；3), it is necessary to ensure both parties at least during bilateral transaction foundation
One side makes a profit, and the opposing party is not damaged；4), during bilateral transaction deletion, it need to only ensure that transaction deletes masters (by deleting
Direct dealing simultaneously increases other related directly trading volume modes) benefit increase；5) bilateral negotiation transaction evolutionary process, is assumed
There is no time restriction, handed over when any Power Generation-user by setting up or deleting direct dealing to that can not increase its own income
Easily terminate.
1.2 basic conception
1.2.1 direct dealing network
In order to intuitively express bilateral negotiation trading situation, direct dealing network is represented using g shown in Fig. 1.Figure interior joint 1,3
Power Generation and user are represented respectively with node 2,4, and each bar side represents direct dealing, and the weights on side represent direct dealing electricity.Separately
Outside, for visual simulation bilateral negotiation transaction evolutionary process, by the edged (set up and merchandise) to direct dealing network, side is subtracted
(deleting transaction) operation is realized.
1.2.2 market individual revenue function
Assuming that have M Power Generation in market, N number of user：Wherein Power Generation m (m=1,2 ..., M) Cost Offer is ρm,
User n (n=1,2 ..., N) quotation is γn；Assuming that in the moment t, the direct friendship between Power Generation m and user n of arbitrarily developing
Easy electricity isPrice is equal to the average value that both parties offer, i.e. (ρm+γn)/2；Assuming that the T-D tariff that government appraises and decides is
T, power transmission and distribution cost is averagely undertaken by both parties.Then, direct dealing network gtCorrespondence Power Generation m and user n income letter
Number um t、un tRespectively：
Wherein, αmn=(ρm+γn)/2-ρm=γn-(ρm+γn)/2。
In addition, for ease of analysis, defining direct dealing network gtCorresponding revenue function u (gt) be equal to all Power Generations and
User's revenue function sum, i.e.,
1.2.3 quantity division
To consider Network Security Constraints, before being emulated to direct dealing, in addition it is also necessary to the load provided according to user
Curve is bilateral negotiation trade contract quantity division to each hour.For any transaction xmn t, it is assumed that direct dealing is handed over for year
Easily, then the electricity for decomposing period h is fn h·xmn t(fn hFor quantity division coefficient, Σh∈Hfn h=1, H are straight for conversion to hour
Connect transaction cycle).
Then, to the direct dealing network g for moment t formation of developingtFor, Power Generation m and user n are corresponding in period h
Electricity sales amount Xm h,tWith purchase of electricity Xn h,tRespectively：
1.3 set up process of exchange
Assuming that the direct dealing network at moment t of developing is gt, Power Generation m (masters) is intended to set up trading volume with user n and be
ΔmnDirect dealing, if merchandise successfully, t+1 moment Power Generations m trading volume be xm t+1：
For user n, its trading volume xn t+1For：
Then, in direct dealing network gt+1Under, trends of the circuit l in period hFor：
Wherein, Jlm、JlnPower flow transfer distribution factors of the respectively circuit l to bus nodes where Power Generation m, user n
PTDF[14]。
The p assuming that Power Generation m exerts oneselfmBound be respectivelyWithUser's n loads qnMaximum isThen with hair
Electric business m is that the object function for setting up transaction masters is：
(1/2·T-αmn)Δmn≤0 (16)
Formula (14) represents that Power Generation m pursues its own maximum revenue；Formula (15) represents that Power Generation m incomes are set up in transaction
During have positive increment；Formula (16) represents that user n incomes are not reduced during transaction is set up；Formula (17), (18) are represented respectively
Generated output is limited and peak load limitation；Formula (19) represents that network security is checked.
Similarly, when user n is masters, also there is the Optimized model of similar formula (14-19).
1.4 delete process of exchange
Assuming that certain develops, the banking network at moment t is gt, Power Generation m (masters) is intended to delete the friendship set up with user n
Easily amount isBilateral transaction, then its optimal Trading Model for (note：Eliminate the derivation of equation)：
Wherein,ρmFor Power Generation Cost Offer, γn' it is to delete
Except customer quote in process of exchange；
T is the T-D tariff that government appraises and decides；
ΔMn,To carry out deleting the trading volume of transaction between Power Generation and user；
Jlm、Jln、Jln’Respectively circuit l is distributed to the power flow transfer of bus nodes where Power Generation m, user n, user n '
Factor PTDF；
FlFor safe absolute value；
The trading volume set up for Power Generation m and user n；
fl h,tFor circuit l period h trend；
To delete the quantity division coefficient in process of exchange；
ΔMn,To carry out deleting the trading volume of transaction between Power Generation and user；
For user's n ' loads qN,Maximum；
It is user n ' in the corresponding purchase of electricity of period h.
Formula (20) represents that Power Generation m pursues its own maximum revenue；Formula (21) represents that masters income is deleted in transaction
During have positive increment；Formula (22), (23) represent generated output limitation and peak load limitation respectively；Formula (24) represents network peace
Whole school's core.
Similarly, when user n is masters, also there is the Optimized model of similar formula (20-24).
1.5 bilateral negotiations transaction simulation contact surface
Above-mentioned bilateral negotiation merchandises simulation process by randomly selecting Power Generation and user couple, it is carried out contract foundation or
Deletion action, gradually forms balanced direct dealing network, and its simulation contact surface is as shown in Figure 2.
The convergence of 1.6 bilateral negotiations transaction emulation mode
Obviously, bilateral negotiation transaction simulation model is a random process constantly developed, then this evolutionary process is
The no convergence that is bound to
Conclusion 1：The operating process of any foundation transaction or deletion transaction all can increased direct dealing network trap
Prove：Prove first when setting up Δ in any t+1 moment and user n by masters of Power Generation mmnBilateral transaction
Afterwards, the variation delta u of direct dealing network profit can be obtained by formula (5-12)t(g) it is：
Simultaneously, it is contemplated that set up ΔmnBilateral transaction during constraint (15) need to set up, so direct dealing network
Network trap is setting up ΔmnIt is increased afterwards, and is twice of Power Generation m Increment of income.Similarly, also confirm when user n is
Masters set up Δ at any t+1 moment and Power Generation mmnBilateral transaction and delete bilateral transaction operation when have similar knot
By.
Conclusion 2：Set forth herein concentration trade matching model to calculate obtained direct dealing network be balanced direct dealing
Network
Prove：Reduction to absurdity is used, if carrying the direct dealing network g for concentrating trade matching model to obtain by upper section is not
Balanced direct dealing network, illustrates there is some foundation (or deletion) transactional operation, g is developed and arrive other direct dealing network
g’.From conclusion 1, u (g ') is more than u (g), and this is that the optimal solution for concentrating trade matching to go out clear model is contradicted with g, so g
It is balanced direct dealing network, card is finished.
Conclusion 3：Set forth herein bilateral negotiation transaction simulation method be it is convergent, i.e., can by time-limited modified two-step method
To reach some balanced direct dealing network.
Prove：Consider with the sequence u (g of each direct dealing banking network benefit composition on Evolution Paths1),u(g2),u
(g3) ..., learn that the sequence is incremented by ordered series of numbers by conclusion 1, learn that the sequence has the upper bound by conclusion 2, brining model together for concentration obtains
The direct dealing network profit arrived, but because Monotone Bounded ordered series of numbers must restrain, sequence convergence is corresponding direct after convergence
Trade network is balanced direct dealing network, and card is finished.
2 sample calculation analysis
By taking 4 node systems (see Fig. 3) as an example, all branch road reactance are 1 in system, and trend constraint is 10MW；This is
There are three Power Generations (respectively positioned at node 1,2,3) and four users's (respectively positioned at node 1,2,3,4) in system, other specification is shown in
Table 1.It is 300 times to select NUM, and T-D tariff is 2 $/MW.
The Power Generation of table 1 and customer parameter
2.1 single period examples
The simulation result 2.1.2 bilateral negotiation is merchandised
In view of the randomness for selection of merchandising, 1000 emulation has been carried out to example, 82 different equilibriums have been obtained straight
Trade network is connect, wherein there are 39 with concentrating trade matching simulation result that there is individual trading volume (the i.e. x in identical marketm、xnPhase
Together, but xmnBut it is not quite similar), other balanced direct dealing network profits are respectively less than 925 $.Below by 2 emulate obtain it is equal
Weighing apparatus direct dealing network further illustrates the characteristics of bilateral negotiation is merchandised.
The single balanced direct dealing network of period typical case of table 2
1), from concentrate trade matching result PWS1 it is different, in table 2 PSW2 do not have according to spread to it is descending enter
Row is brought together, but with maximum return.
2) limitation of the constraints such as out-of-limit trend, generating capacity and peak load, is received, although PWS3 in table 2
Income be less than maximum return, but it is still balanced direct dealing network.
2.2 multi-period examples
Assume that period collection is combined into H={ 1,2 ..., 24 } herein, user L1, L2, L3 and L4 load curve are as shown in Figure 4.
The simulation result 2.2.2 bilateral negotiation is merchandised
Similar single period situation, 1000 emulation has been carried out to example, 99 different balanced direct dealing nets are obtained
Network, wherein there is 16 to have the individual trading volume in identical market with concentration trade matching simulation result, other 83 equilibriums are direct
The income of trade network is respectively less than the $ of maximum return 18719.Obtained balanced direct dealing network is emulated below by 3 and enters one
The characteristics of multi-period bilateral negotiation of step explanation is merchandised：
1), from concentrate trade matching result PWS4 it is different, in table 3 PSW5 do not have according to spread to it is descending enter
Row is brought together, but with identical income.
2), balanced direct dealing network PWS6 have with the duplicate direct dealing total amounts of PWS4 and user's income, but
Correspondence benefit is but few compared with PWS4, and this is mainly by direct dealing amount caused by the difference of Generation Side is distributed.
3) limitation of the constraints such as out-of-limit trend, generating capacity and peak load, is received, although PWS7 is to receivable
Benefit is less than PWS4 correspondence incomes, but it is still balanced direct dealing network.
The balanced direct dealing network of the multi-period typical case of table 3
3 conclusions
In bilateral negotiation transaction emulation journey, by setting up, deleting the uncertain of mode of doing business mock trading process at random
Property；In order to meet trend constraint, load curve and electric network swim the transfer distribution factor submitted by user are paid attention to.This
Outside, the convergence of put forward bilateral negotiation transaction emulation mode is also demonstrated, is that further application this method provide theoretical guarantee.
Example shows that institute's extracting method of the present invention can really reflect transaction randomness and Network Security Constraints to electric power direct dealing
The physical constraints such as the various uncertain and network securitys in various influences, meter and process of exchange.
Simulation result shows, bilateral negotiation transaction is easy to converge to multiple different equal in trade network evolutionary process
Weigh direct dealing network, and this causes some constraints to take the lead in having reached limit mainly due to the randomness of trading object and transaction order
System, so that cause the reduction of market efficiency, or even overall community income is reduced.
Putting forward emulation mode has following meaning herein：1) consideration trading object, transaction order, is proposed first not know
The bilateral negotiation electric power direct dealing emulation mode of property；2), first by Network Security Constraints include over-the-counter-market go out it is honest and upright and thrifty
In beam condition, help to solve the problems such as current China's electric power direct dealing Security Checking is difficult to effective carry out, be direct dealing
Scale, which further expands, has done theoretical deposit；3), for market surpervision person, market individual analyse in depth research bilateral negotiation transaction carry
Effective emulation tool is supplied.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, various equivalent modifications can be readily occurred in or replaced
Change, these modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection domain be defined.
Claims (5)
1. a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints, it is characterised in that described bilateral negotiation is handed over
Easily emulation meets Network Security Constraints condition, described bilateral negotiation transaction emulation side by setting up, deleting mode of doing business at random
Method comprises the following steps：
S1, randomly select a pair of Power Generations and user, the gate time section cumulative unit interval；
S2, judge whether Power Generation and user set up direct dealing, if it has, then step S3 is carried out, if it has not, then carrying out step
S4；
S3, the optimization computation model for solving the progress deletion transaction by masters of Power Generation, judge whether feasible solution, if depositing
S1 is returned to after then updating the data, if the progress step S5 in the absence of if；
S4, solution carry out setting up the optimization computation model of transaction by masters of Power Generation, feasible solution are judged whether, if depositing
S1 is returned to after then updating the data, if the progress step S5 in the absence of if；
S5, solution carry out setting up the optimization computation model of transaction by masters of user, judge whether feasible solution, if in the presence of
S1 is returned to after then updating the data, if the progress step S6 in the absence of if；
S6, judge whether gate time section is more than setting value, if it is otherwise, it returns to S1, if YES then emulation terminates output emulation knot
Really.
2. a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints according to claim 1, its feature exists
In the object function for by masters of Power Generation delete the optimization computation model of transaction in S3 is：
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
<munder>
<mo>&Sigma;</mo>
<mrow>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>|</mo>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>&NotEqual;</mo>
<mi>n</mi>
<mo>,</mo>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mi>t</mi>
</msup>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</msub>
<mo>-</mo>
<mn>1</mn>
<mo>/</mo>
<mn>2</mn>
<mo>&CenterDot;</mo>
<mi>T</mi>
<mo>)</mo>
</mrow>
<msub>
<mi>&Delta;</mi>
<mrow>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</msub>
</mrow>
Meet constraints：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>p</mi>
<mi>m</mi>
<mi>min</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<mi>m</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<munder>
<mo>&Sigma;</mo>
<mrow>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>|</mo>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>&NotEqual;</mo>
<mi>n</mi>
<mo>,</mo>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mi>t</mi>
</msup>
</mrow>
</munder>
<msubsup>
<mi>f</mi>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mi>h</mi>
</msubsup>
<msub>
<mi>&Delta;</mi>
<mrow>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>p</mi>
<mi>m</mi>
<mi>max</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<mi>m</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>f</mi>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mi>h</mi>
</msubsup>
<msub>
<mi>&Delta;</mi>
<mrow>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mover>
<mi>q</mi>
<mo>&OverBar;</mo>
</mover>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
</msub>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>|</mo>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>&NotEqual;</mo>
<mi>n</mi>
<mo>,</mo>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mi>t</mi>
</msup>
<mo>,</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein,ρmFor Power Generation Cost Offer, γn' handed over to delete
Customer quote during easily；
H converts the direct dealing cycle to hour；
gtFor moment t trade network；
T is the T-D tariff that government appraises and decides；
Δmn′To carry out deleting the trading volume of transaction between Power Generation and user；
ΔmnFor the transaction electricity between Power Generation and user；
Exerted oneself p for Power Generation mmLower limit；
Exerted oneself p for Power Generation mmThe upper limit；
It is Power Generation m in the corresponding electricity sales amounts of period h；
To set up the quantity division coefficient in process of exchange；
To delete the quantity division coefficient in process of exchange；
The trading volume set up for Power Generation m and user n；
For user's n ' loads qn′Maximum；
It is user n ' in the corresponding electricity sales amounts of period h.
3. a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints according to claim 2, its feature exists
In the object function for carrying out deleting the optimization computation model of transaction by masters of Power Generation also meets Network Security Constraints bar
Part：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>F</mi>
<mi>l</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>f</mi>
<mi>l</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>J</mi>
<mrow>
<mi>l</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>J</mi>
<mi>ln</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&CenterDot;</mo>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<munder>
<mo>&Sigma;</mo>
<mrow>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mo>|</mo>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mi>t</mi>
</msup>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<msub>
<mi>J</mi>
<mrow>
<mi>l</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>J</mi>
<msup>
<mi>ln</mi>
<mo>&prime;</mo>
</msup>
</msub>
<mo>)</mo>
</mrow>
<mo>&CenterDot;</mo>
<msubsup>
<mi>f</mi>
<msup>
<mi>n</mi>
<mo>&prime;</mo>
</msup>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msub>
<mi>&Delta;</mi>
<mrow>
<msup>
<mi>mn</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mtable>
<mtr>
<mtd>
<mrow>
<mo>&le;</mo>
<msub>
<mi>F</mi>
<mi>l</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>f</mi>
<mi>l</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>J</mi>
<mrow>
<mi>l</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>J</mi>
<mi>ln</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&CenterDot;</mo>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msubsup>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<mi>l</mi>
<mo>&Element;</mo>
<mi>L</mi>
<mo>,</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, Jlm、Jln、Jln’Respectively circuit l is distributed to the power flow transfer of bus nodes where Power Generation m, user n, user n '
Factor PTDF；
FlFor safe absolute value；
To set up the quantity division coefficient in process of exchange；
The trading volume set up for Power Generation m and user n；
For circuit l period h trend；
To delete the quantity division coefficient in process of exchange；
Δmn′To carry out deleting the trading volume of transaction between Power Generation and user；
L is circuit sum；
H is direct dealing cycle of the conversion to hour.
4. a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints according to claim 1, its feature exists
In by masters of Power Generation, the object function for the optimization computation model that transaction is set up in progress is in S4：
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>|</mo>
<mi>m</mi>
<mi>n</mi>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mrow>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>-</mo>
<mn>1</mn>
<mo>/</mo>
<mn>2</mn>
<mo>&CenterDot;</mo>
<mi>T</mi>
<mo>)</mo>
</mrow>
<msub>
<mi>&Delta;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
</mrow>
Meet constraints：
(1/2·T-αmn)Δmn≤0
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>p</mi>
<mi>m</mi>
<mi>min</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<mi>m</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>&le;</mo>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>|</mo>
<mi>m</mi>
<mi>n</mi>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mrow>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</munder>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<msub>
<mi>&Delta;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>p</mi>
<mi>m</mi>
<mi>max</mi>
</msubsup>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<mi>m</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<msub>
<mi>&Delta;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mover>
<mi>q</mi>
<mo>&OverBar;</mo>
</mover>
<mi>n</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>X</mi>
<mi>n</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<mi>m</mi>
<mi>n</mi>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mrow>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>,</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, αmn=(ρm+γn)/2-ρm=γn-(ρm+γn)/2, ρmFor Power Generation Cost Offer, γnTo set up process of exchange
Middle customer quote；
ΔmnFor the trading volume between Power Generation and user；
T is the T-D tariff that government appraises and decides；
Exerted oneself p for Power Generation mmLower limit；
Exerted oneself p for Power Generation mmThe upper limit；
It is Power Generation m in the corresponding electricity sales amounts of period h；
To set up the quantity division coefficient in process of exchange；
For user's n loads qnMaximum；
It is user n in the corresponding electricity sales amounts of period h；
H is direct dealing cycle of the conversion to hour；
gt+1For moment t+1 trade network.
5. a kind of bilateral negotiation transaction emulation mode based on Network Security Constraints according to claim 4, its feature exists
In by masters of Power Generation, the object function for the optimization computation model that transaction is set up in progress also meets Network Security Constraints bar
Part：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>F</mi>
<mi>l</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>f</mi>
<mi>l</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
<mo>&le;</mo>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>|</mo>
<mi>m</mi>
<mi>n</mi>
<mo>&Element;</mo>
<msup>
<mi>g</mi>
<mrow>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<msub>
<mi>J</mi>
<mrow>
<mi>l</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>J</mi>
<mi>ln</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&CenterDot;</mo>
<msubsup>
<mi>f</mi>
<mi>n</mi>
<mi>h</mi>
</msubsup>
<mo>&CenterDot;</mo>
<msub>
<mi>&Delta;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mi>F</mi>
<mi>l</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>f</mi>
<mi>l</mi>
<mrow>
<mi>h</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<mi>l</mi>
<mo>&Element;</mo>
<mi>L</mi>
<mo>,</mo>
<mi>h</mi>
<mo>&Element;</mo>
<mi>H</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, Jlm、JlnPower flow transfer distribution factor PTDFs of the respectively circuit l to bus nodes where Power Generation m, user n；
FlFor safe absolute value；
For circuit l period h trend；
To set up the quantity division coefficient in process of exchange；
L is circuit sum；
H is direct dealing cycle of the conversion to hour；
gt+1For moment t+1 trade network；
ΔmnFor the transaction electricity between Power Generation and user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710355749.1A CN107240016A (en) | 2017-05-19 | 2017-05-19 | A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710355749.1A CN107240016A (en) | 2017-05-19 | 2017-05-19 | A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107240016A true CN107240016A (en) | 2017-10-10 |
Family
ID=59985130
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710355749.1A Pending CN107240016A (en) | 2017-05-19 | 2017-05-19 | A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107240016A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108923423A (en) * | 2018-07-16 | 2018-11-30 | 国家电网有限公司 | Electricity transaction emulation mode based on micro services, apparatus and system |
| CN108985766A (en) * | 2018-08-28 | 2018-12-11 | 东北大学 | A kind of polygon transaction system of electricity market and method based on block chain technology |
| CN113642791A (en) * | 2021-08-12 | 2021-11-12 | 中国南方电网有限责任公司 | Fine compilation tool system for year and month operation modes of power grid and execution tracking function adding method |
-
2017
- 2017-05-19 CN CN201710355749.1A patent/CN107240016A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108923423A (en) * | 2018-07-16 | 2018-11-30 | 国家电网有限公司 | Electricity transaction emulation mode based on micro services, apparatus and system |
| CN108985766A (en) * | 2018-08-28 | 2018-12-11 | 东北大学 | A kind of polygon transaction system of electricity market and method based on block chain technology |
| CN113642791A (en) * | 2021-08-12 | 2021-11-12 | 中国南方电网有限责任公司 | Fine compilation tool system for year and month operation modes of power grid and execution tracking function adding method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101976401B1 (en) | Block-Chain based Electricity power trading system, Method thereof, and Computer readable Storage medium having the method | |
| Baillo et al. | Optimal offering strategies for generation companies operating in electricity spot markets | |
| Nunna et al. | Multiagent-based distributed-energy-resource management for intelligent microgrids | |
| Wei et al. | Charging strategies of EV aggregator under renewable generation and congestion: A normalized Nash equilibrium approach | |
| Dorri et al. | Peer-to-peer energytrade: A distributed private energy trading platform | |
| Shen et al. | ADMM-based market clearing and optimal flexibility bidding of distribution-level flexibility market for day-ahead congestion management of distribution networks | |
| CN107507103A (en) | A kind of computational methods and device of the clearing of Electricity retail market marketization electricity | |
| CN107038630A (en) | A kind of bilateral negotiation electricity transaction system and method | |
| CN107240016A (en) | A kind of bilateral negotiation transaction emulation mode based on Network Security Constraints | |
| Bukar et al. | Peer-to-peer electricity trading: A systematic review on current developments and perspectives | |
| CN107292740B (en) | A kind of monthly independently listed electricity transaction system and method for commerce | |
| CN107895241A (en) | A kind of sale of electricity company purchase sale of electricity operational decision making and methods of risk assessment | |
| CN109523075A (en) | Charging station charging power Optimizing Configuration System based on block chain intelligence contract | |
| CN105321103A (en) | Contract electricity price formulating method for direct electricity purchase bilateral trade based on leader-follower game | |
| CN112365119A (en) | Distributed database support-based distributed transaction model for electric energy of power distribution network | |
| CN113643131A (en) | Microgrid distributed energy trading method and system based on block chain | |
| CN114626922A (en) | Self-adaptive bidding multi-energy P2P trading platform based on block chain | |
| Moinian et al. | An ISO-based security constrained generation maintenance coordination considering long-term SCOPF | |
| CN107705097A (en) | Order management method, device, electronic equipment and computer-readable recording medium | |
| Vincent et al. | Sustainable microgrid design with peer-to-peer energy trading involving government subsidies and uncertainties | |
| CN107220904A (en) | A kind of electric power based on Network Security Constraints concentrates trade matching emulation mode | |
| CN107798125A (en) | Access decision method, system, equipment and storage medium based on cohesion model | |
| CN116342233A (en) | Skyline strategy-based micro-grid data processing method and device | |
| Khodabakhsh et al. | Designing a bi-level flexibility market for transmission system congestion management considering distribution system performance improvement | |
| Scott et al. | Identification of manipulation in receding horizon electricity markets |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171010 |