CN105320996A - Microgrid electrical energy random matching transaction method - Google Patents
Microgrid electrical energy random matching transaction method Download PDFInfo
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- CN105320996A CN105320996A CN201510496976.7A CN201510496976A CN105320996A CN 105320996 A CN105320996 A CN 105320996A CN 201510496976 A CN201510496976 A CN 201510496976A CN 105320996 A CN105320996 A CN 105320996A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The present invention discloses a microgrid electrical energy random matching transaction method. The method comprises the following steps: (1) a large power grid determining power purchase and sale prices in the next time period and the allowed maximum purchase and sales quantities of electricity for each microgrid, and delivering to each microgrid; (2) as market participants, a distributed power source, a power consumer and an electrical energy random prosumer of the microgrid separately reporting a price and a transaction volume to the microgrid in advance; (3) as a market operator, the microgrid formulating and calculating a market parameter, delivering to the distributed power source, the power consumer and the electrical energy random prosumer, and declaring the opening of a random matching transaction market; (4) the market participants separately determining the purchase and sale electrical quantity, autonomously selecting a suitable bidding strategy, and reporting to the market operator; (5) the market operator delivering a random matching transaction result to each market participant, and randomly matching closing of transaction markets; (6) the market participants receiving and obeying the random matching transaction result; (7) the market operator reporting a purchase power quantity and sale quantity required by the power grid, and starting real-time electrical energy transaction; and (8) ending the real-time transaction, performing error compensation settlement according to a difference with a random matching transaction volume, and performing a price subsidy to an actual power generation amount of the distributed power source.
Description
Technical field
The present invention relates to the micro-capacitance sensor of electric system, more particularly, relate to a kind of micro-capacitance sensor electric energy random fit method of commerce.
Background technology
Advocate the demand of development clean energy resource energetically in country under, and distributed power source (DER, DistributedEnergyResource) technology is ripe gradually, Generation Side main body also will present diversified trend, have increasing DER and Prosumer (electric energy prosumer, the isolated user namely containing DER) and participate in Electricity Market Competition.The micro-capacitance sensor power trade of traditional " generating power for their own use, remaining electricity online " has been not suitable for the demand of electricity market reform, and urgently new competitive power trade mechanism, realizes the reasonable disposition of power resource.
Summary of the invention
The object of the invention is to: a kind of micro-capacitance sensor electric energy random fit method of commerce is provided, meet the transactions demand of each subject of operation in micro-capacitance sensor for electric energy, can the equilibrium of supply and demand be regulated, maintaining system safety stable operation, realize the maximization of utilization of power benefit.
To achieve these goals, the invention provides a kind of micro-capacitance sensor electric energy random fit method of commerce, what comprise the steps: that (1) bulk power grid determines that the sale of electricity valency of purchasing of subsequent time period and each micro-capacitance sensor allow maximumly purchases electricity sales amount, is handed down to each micro-capacitance sensor; (2) price and trading volume are reported micro-capacitance sensor as participant in the market by the distributed power source in micro-capacitance sensor, power consumer and electric energy prosumer respectively in advance; (3) micro-capacitance sensor is as market operation person's formulation, computing market parameter, is handed down to distributed power source, power consumer and electric energy prosumer, announces that random fit trade market is opened; (4) participant in the market determines to purchase electricity sales amount respectively, from the bidding strategies that main separation is suitable, reports market operation person; (5) random fit transaction results is issued to each participant in the market by market operation person, and random fit trade market is closed; (6) participant in the market receives and obeys random fit transaction results; (7) market operation person reports purchase of electricity needed for electrical network or electricity sales amount, starts to carry out real-time power trade; (8) real-time deal terminates, and carries out error compensation clearance according to random fit trading volume difference, carries out price subsidy for distributed power source actual power generation simultaneously.
As a modification of the present invention, described city field parameters comprises:
P
gs, the every unit electricity of the seller sells to the price of electrical network, determines (non-subsidy electricity price) by bulk power grid;
P
l, in the match trading process of market, the minimum sale of every unit electric energy or purchasing price, determined by market operation person;
P
h, in the match trading process of market, the highest sale of every unit electric energy or purchasing price, determined by market operation person;
P
gb, the buyer is required directly from every unit electricity price that electrical network is bought, and is determined by bulk power grid;
β, seller's unit and buyer's unit take turns for each the market participating fee paid needed for random fit;
R, price range parameter, by price range [p
l, p
h] with (p
h-p
l)/(R-1) be interval decile, show in the match trading process of market, there be R bidding price (R>=2): p
l, p
l+ (p
h-p
l)/(R-1) ..., p
h;
T, the price change minimum step of seller's unit or buyer's unit, that is the change price of next round, T=(p
h-p
l)/(R-1).
As a modification of the present invention, each participant in the market estimates the power trade amount of next stage as the buyer or the seller, with every 1kW for basic transaction unit participates in marketing directly, be called buyer's unit and seller's unit, all seller's unit and buyer's unit are carried out random fit transaction by market operation person.
As a modification of the present invention, the seller determines the bidding strategies of its every unit electric energy sold, there is G (1), G (2), ..., G (R), selects in R bidding strategies altogether, for the seller's unit selecting G (r), it is (r-1) T+p in first run commercial value
lif, the non-Transaction Success of the first run, its bid price reduces T, continues to participate in market coupling in next round, the like, until reach p
lafter, price no longer reduces.
As a modification of the present invention, the buyer determines the bidding strategies of the every a electric energy that it will be bought, there is L (1), L (2),, L (R), altogether R bidding strategies, for the buyer's unit selecting L (r), it is (r-1) T+p in first run purchasing price
lif, the non-Transaction Success of the first run, its bid price increases T, continues to participate in market coupling in next round, the like, until reach p
hafter, price no longer raises.
As a modification of the present invention, all seller's unit mate with buyer's unit completely random, with p by each transaction taken turns
srepresent seller's unit bid price, p
brepresent buyer's unit bid price, p
fnrepresent End-price, if p
fnbe not that the match is successful in 0 expression, coupling both sides withdraw from the market; If p
fnbe 0 and represent that coupling is unsuccessful, coupling both sides continue to stay market and participate in next round transaction.
As a modification of the present invention, when buying, seller's element number unequal time, for seller's market, when namely seller element number m is less than buyer element number n, fill n-m virtual seller's unit, all take tactful G (M), M can get and be greater than R+C
minthe arbitrary integer of-1, ensures that it takes turns with any tactful buyer's units match all unsuccessful at each; For buyer's market, when namely seller quantity m is greater than buyer quantity n, fill m-n the virtual buyer, all take tactful L (N), N can get and be less than 2-C
minarbitrary integer, ensure that it takes turns with any tactful buyer's units match all unsuccessful at each.
As a modification of the present invention, market is closed after the random fit of minimum marketing wheel number, and seller's unit that the match is successful or buyer's unit need to conclude the business with bulk power grid, and sale energy value is p
gs, purchase energy value is p
gb.
As a modification of the present invention, buy, the transaction value of seller's unit reality is defined as equivalent transaction value p
equ, for seller's unit, p
sequ=p
fn-β, for buyer's unit, p
bequ=p
fn+ β, the minimum equivalent transaction value of seller's unit should be more than or equal to the price being sold to bulk power grid, and the highest equivalent transaction value of buyer's unit should be less than or equal to the price directly buying electric energy from bulk power grid.
As a modification of the present invention, market operation person gathers demand and supply function, and comprehensive maximum transmission line allows power to obtain the bound of price parameter, the transaction electricity expecting equivalent transaction value and correspondence is asked for again with this parameter process of iteration, be issued to each participant in the market again, guide it to select suitable bidding strategies and transaction electricity.
Compared with prior art, micro-capacitance sensor electric energy random fit method of commerce of the present invention can pass through price responsiveness state between supply and demand, guide participative behavior and the bidding strategies of participant in the market, electric energy supply and demand residual quantity can be reduced to a certain extent conversely, play the effect of peak load shifting; And DER, user and Prosumer avoid the complete passivity of uniform pricing pattern, can participate in market from main separation bidding strategies.The present invention is easy to perform, and can realize power trade efficiently, comply with the development of following intelligent grid and the trend of new electric Power Reform.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, structure of the present invention and Advantageous Effects thereof are described in detail.
Fig. 1 is the schematic flow sheet of micro-capacitance sensor electric energy random fit method of commerce.
Fig. 2 is random fit trade market of the present invention composition schematic diagram.
Fig. 3 is electric energy aggregate supply of the present invention and total demand curve figure.
Embodiment
In order to make goal of the invention of the present invention, technical scheme and Advantageous Effects thereof more clear, below in conjunction with the drawings and specific embodiments, the present invention is further elaborated.Should be understood that, the embodiment described in this instructions is only used to explain the present invention, is not intended to limit the present invention.
In the present invention, each for micro-capacitance sensor subject of operation is used as independently participant in the market buy in the market or sell electric energy, the seller and the buyer report price and trading volume in advance, each seller and the buyer are carried out random fit by market operation person, the both parties that the match is successful exit trade market, what the match is successful carries out next round random fit, and each takes turns coupling needs to pay certain market participating fee.After market is closed, the seller of successful match or the buyer need to conclude the business with bulk power grid not yet.It is characterized in that both parties have the power of freely bidding, can offer and trading volume from main separation for power consumption according to parameter transaction, historical trading situation or prediction, to obtain comparatively high yield, each bid price of taking turns Matching and modification both sides of market is to ensure to be matched to power, market operation person can regulate city's field parameters such as price to regulate and control the market transaction according to supply and demand electric quantity balancing situation, each subject of operation is finally made all to obtain comparatively high yield, power resource is distributed rationally, micro-grid system safety, stable operation.Refer to Fig. 1, what micro-capacitance sensor electric energy random fit method of commerce of the present invention comprised the steps: that (1) bulk power grid determines that the sale of electricity valency of purchasing of subsequent time period and each micro-capacitance sensor allow maximumly purchases electricity sales amount, is handed down to each micro-capacitance sensor (market operation person); (2) DER, user and Prosumer (participant in the market) respectively by price supply and demand information reporting to market operation person; (3) market operation person's formulation, computing market parameters, be handed down to each participant in the market, announces that random fit trade market is opened; (4) participant in the market determines to purchase electricity sales amount respectively, from the bidding strategies that main separation is suitable, reports market operation person; (5) random fit transaction results is issued to each participant in the market by market operation person, and random fit trade market is closed; (6) each participant in the market receives and obeys random fit transaction results; (7) each market operation person reports purchase of electricity needed for electrical network or electricity sales amount, starts to carry out real-time power trade; (8) real-time deal terminates, and carries out error compensation clearance according to random fit trading volume difference, carries out price subsidy for DER actual power generation simultaneously.
Refer to Fig. 2, with vendor identification participate in market sell electric energy have DER and Prosumer such as photovoltaic, wind-powered electricity generation, miniature gas turbine, energy storage device; With buyer's identity participate in market buy electric energy have load user, energy storage device and Prosumer.Both parties estimate the electric energy that next hour will buy or sell, and participate in it directly marketing, be called buyer's unit and seller's unit with every 1kW for basic transaction unit.Market operation parameter has:
P
gs, the every unit electricity of the seller sells to the price of electrical network, determines (non-subsidy electricity price) by bulk power grid;
P
l, in the match trading process of market, the minimum sale of every unit electric energy or purchasing price, determined by market operation person;
P
h, in the match trading process of market, the highest sale of every unit electric energy or purchasing price, determined by market operation person;
P
gb, the buyer is required directly from every unit electricity price that electrical network is bought, and is determined by bulk power grid;
β, seller's unit and buyer's unit take turns for each the market participating fee paid needed for random fit;
R, price range parameter, by price range [p
l, p
h] with (p
h-p
l)/(R-1) be interval decile, show in the match trading process of market, there be R bidding price (R>=2): p
l, p
l+ (p
h-p
l)/(R-1) ..., p
h;
T, the price change minimum step of seller's unit or buyer's unit, that is the change price of next round, T=(p
h-p
l)/(R-1).
The seller determines the bidding strategies of its every unit electric energy sold, there is G (1), G (2), ..., G (R), selects in R bidding strategies altogether, and for selecting seller's unit of G (r), (r represents the sequence number of bidding strategies, lower same), it is (r-1) T+p in first run commercial value
lif, the non-Transaction Success of the first run, its bid price reduces T, continues to participate in market coupling in next round, the like, until reach p
lafter, price no longer reduces; The buyer determines the bidding strategies of the every a electric energy that it will be bought, and has L (1), L (2),, L (R), altogether R bidding strategies, for the buyer's unit selecting L (r), it is (r-1) T+p in first run purchasing price
lif, the non-Transaction Success of the first run, its bid price increases T, continues to participate in market coupling in next round, the like, until reach p
hafter, price no longer raises.All seller's unit mate with buyer's unit completely random, with p by each transaction taken turns
srepresent seller's unit bid price, p
brepresent buyer's unit bid price, p
fnrepresent End-price, if p
fnbe not that the match is successful in 0 expression, coupling both sides withdraw from the market; If p
fnbe 0 and represent that coupling is unsuccessful, coupling both sides continue to stay market and participate in next round transaction, and concrete conclusion of the business mode is as follows:
Work as p
s<p
btime, p
fn=(p
s+ p
b)/2 ≠ 0;
Work as p
s=p
btime, p
fn=p
s=p
b≠ 0;
Work as p
s>p
btime, p
fn=0.
Theoretically, when mating both sides' quantity and being identical, ensure all unit all energy minimum marketing wheel number C that the match is successful
minshould meet:
Simultaneous and get final product:
C
min∈[(R+1)/2,(R+1)/2+1)
The prerequisite of more than concluding the business is identical for dealing side's element number, when electric energy unbalanced supply-demand, when namely the side's of dealing element number is unequal, can consider to fill dummy unit.Specifically, for seller's market, when namely seller element number m is less than buyer element number n, fill n-m virtual seller's unit, all take tactful G (M), M can get and be greater than R+C
minthe arbitrary integer of-1, can ensure that it takes turns with any tactful buyer's units match all unsuccessful at each; For buyer's market, when namely seller quantity m is greater than buyer quantity n, fill m-n the virtual buyer, all take tactful L (N), N can get and be less than 2-C
minarbitrary integer, can ensure that it takes turns with any tactful buyer's units match all unsuccessful at each.
Market is through C
minclose after wheel random fit, seller's unit that the match is successful or buyer's unit need to conclude the business with bulk power grid, and sale energy value is p
gs, purchase energy value is p
gb.
1, the basic constraint condition of city's field parameters
The transaction value of the side's of dealing unit reality is defined as equivalent transaction value p
equ, for seller's unit, p
sequ=p
fn-β; For buyer's unit, p
bequ=p
fn+ β.The basic premise of random fit market mechanism trouble-free operation should be that dealing side participates in minimum income that this marketing obtains and is greater than and concludes the business with bulk power grid.Specifically, should ensure that the minimum equivalent transaction value of seller's unit under this market mechanism is more than or equal to the price being sold to bulk power grid, the highest equivalent transaction value of buyer's unit under this market mechanism is less than or equal to the price directly buying electric energy from bulk power grid.
For seller's unit, represent random fit wheel number with c, at c wheel, the minimum bid price of seller's unit is p
l, the minimum bid price of buyer's unit is p
l+ (c-1) T, so the minimum transaction value of theory of c wheel should be p
l+ 0.5 (c-1) T, the then minimum equivalent transaction value min (p of c wheel
sequ c) be:
And under auction market, the basic market discipline of demand fulfillment " height is bidded, excessive risk, lowly bids, low-risk ", namely will ensure:
β≥0.5T＝0.5(p
h-p
l)/(R-1)
In like manner for buyer's unit, it is p that c takes turns the highest transaction value of matching theory
h-0.5 (c-1) T, c take turns the highest equivalent transaction value max (p
bequ c) be:
Namely require:
2, market operation process analysis procedure analysis
With Q
i s(p) and Q
j bp () represents that the wish of seller i under energy value p is exerted oneself respectively, the wish consumption electricity of buyer j under energy value p
[13] [14].Obvious Q
i sp () is increasing function, Q
j bp () is decreasing function.
Consider the electricity price subsidy policy of the DER such as photovoltaic, the seller containing DER is actual, and that report should be subsidized price revised price supply function Q
i s(p)
rev:
Wherein p
i subfor the electricity price of seller i is subsidized, Q
i sp () is actual price supply function.
Market operation person gathers and obtains aggregate supply function and aggregate demand function:
Wherein N
s, N
bbe respectively seller's quantity and buyer's quantity.
Refer to Fig. 3, through-put power between micro-capacitance sensor and bulk power grid retrains by the firm power of transmission line on the one hand, also to be subject on the other hand higher level's electrical network based on whole power grid security, stablize, power constraint that economical operation allows.Retraining lower micro-capacitance sensor at the maximum delivery electricity of next hour based on above-mentioned two kinds after supposing to leave certain predicated error nargin is Δ Q
s, maximum reception electricity is Δ Q
b, the lower limit p of price of buying and selling electricity corresponding respectively so can be obtained according to aggregate supply function and aggregate demand function
l limwith upper limit p
h lim.
Sell both sides and select suitable bidding strategies based on interests demands such as respective cost of electricity-generating, electricity consumption incomes, if the bidding strategies of all dealing sides equal-probability distribution on the whole, namely the seller of each bidding strategies or buyer's quantity identical, be equivalent to dealing side's completely random and select bidding strategies, be then called randomized policy.The probability expectation of the equivalent transaction value of both parties is called and expects equivalent transaction value.Market operation person calculates the marketing parameter p meeting above each constraint
l, p
h, β, R, based under this parameter with solution by iterative method both parties under randomized policy expectation equivalence transaction value p
exp b, p
exp s, and the transaction electricity Q of correspondence
sum b(p
exp b), Q
sum s(p
exp s).Solution procedure is as follows:
With initial Q
sum b(p
h), Q
sum s(p
h) in the abundant random fit transaction of both parties' Complete random scheme state Imitating quantity, ask for the average equivalent transaction value of both parties as the equivalent transaction value p of expectation
exp b (1), p
exp s (1), then with Q
sum b(p
exp b (1)), Q
sum s(p
exp s (1)) carry out next round iteration.Final judge the condition of convergence as:
Wherein, Δ Q
bwith Δ Q
sfor the permissible error of regulation.
Can make:
Market operation person is by market parameter p
l, p
h, β, R, and p
exp b, p
exp s, Q
sum b(p
exp b), Q
sum s(p
exp s) being issued to each participant in the market, it selects best bidding strategies according to city's field parameters and supply and demand situation instantly.
Work as Q
sum b(p
exp b) >>Q
sum s(p
exp s) time, generally appear at the peak of power consumption stage, now need for electricity amount is greater than quantity delivered, unbalanced supply-demand.From whole micro-capacitance sensor aspect, the buyer can take into account and will avoid carrying out high price power purchase with bulk power grid and conclude the business, and can take higher price strategy on the whole, and can interrupt or this plan of transfer part in power purchase price higher than p
exp bstill unbroken load, energy-storage battery generally can discharge sale; And the seller considers and takes what strategy can not to conclude the business with bulk power grid, so also can take high price strategy relatively on the whole, also can increase part this intends electricity price lattice on sale lower than p simultaneously
exp sexerting oneself of lower minimizing.By emulative market random fit, final equivalent transaction value can higher than p
exp b, p
exp s, meet open market economic law, when namely supply is less than demand, price raises, and price rising can reduce unevenness between supply and demand amount conversely, plays the effect weakening Peak power use definitely.
Together should Q
sum b(p
exp b) <<Q
sum s(p
exp s) time, generally appear at the low power consumption stage, now electric energy quantity delivered is less than demand, and the seller that some cost of electricity-generatings are higher can reduce certain exerting oneself, and takes lower bidding strategies simultaneously; The buyer can increase a part and be transferred load electricity consumption, and also take lower bidding strategies, energy-storage battery generally can charge simultaneously.Final market equivalence transaction value lower than the market of tactful completely random, can play the effect of certain increase valley power consumption.
When electric energy supply and demand is in a basic balance, electric energy depends on the free game of dealing side in random fit city transaction value after the match.Both sides can according to historical trading situation (comprising policy selection, transaction value etc.), and transaction wish intensity, autonomous decision is exerted oneself or power consumption, selects the bidding strategies of radical type (at high price) or safe type (at a low price).
3, predicated error compensates balancing system model
What this trading strategies was taked is " time front transaction ", market coupling be prediction generated energy and the power consumption of subsequent time period, due to the undulatory property of DER itself and the difference of load prediction accuracy, actual DER, power trade amount and the random fit Market clearing quantity of user and Prosumer are unequal, so it needs to bear the loss brought due to predicated error, with Maintenance Market operation order and sustainability.
Specifically, for each dealing side, the prediction accuracy 100% of other participants in the market can be supposed, free of errors can perform the electricity of market random fit.So when i-th seller i than expectation generated energy few send out Δ Q electricity and buyer's user power utilization amount constant time, need bulk power grid to provide the electricity of Δ Q, under normal circumstances, electrical network sale of electricity price p
gbcan higher than the average transaction value p of seller i in the coupling of market
ave si(city's field parameters basic constraint condition ensure), the price difference of this part should be born by seller i, is equivalent to the electricity being bought Δ Q by seller i to bulk power grid, then carries out real trade according to the generated energy of market random fit and price.In like manner, when seller i actual power generation is than when estimating multiple Δ Q, this part electricity should with price p
gsbe sold to bulk power grid.
For the buyer, when actual power consumption is than the few Δ Q of expectation, unnecessary electricity will with price p
gsbe sold to bulk power grid, under normal circumstances, p
gbcan lower than the average transaction value p of buyer j in the coupling of market
ave bj(city's field parameters basic constraint condition ensure), the price difference of this part should be born by buyer j, is equivalent to buyer j and carries out real trade according to the power consumption of market random fit and price, then unnecessary is not consumed electricity Δ Q with price p
gsbe sold to bulk power grid.In like manner, when the actual power consumption of the buyer is than expectation many Δs Q, need from bulk power grid with price p
gbbuy Δ Q electric energy.
Under this indemnifying measure, the financial cost increment that predicated error is brought is completely by the DER having predicated error, and user and Prosumer itself bear, and predicated error is larger, and economic compensation is more, effectively firm market order.
The present invention goes for the power trade of the micro-capacitance sensor of various many subjects of operation, comprises and is not limited to the DER of independent dispersion, the power trade between user and Prosumer, DER, user and the power trade between Prosumer and bulk power grid.
The announcement of book and instruction according to the above description, those skilled in the art in the invention can also carry out suitable change and amendment to above-mentioned embodiment.Therefore, the present invention is not limited to embodiment disclosed and described above, also should fall in the protection domain of claim of the present invention modifications and changes more of the present invention.In addition, although employ some specific terms in this instructions, these terms just for convenience of description, do not form any restriction to the present invention.
Claims (10)
1. a micro-capacitance sensor electric energy random fit method of commerce, is characterized in that, comprise the steps:
(1) what bulk power grid determined that the sale of electricity valency of purchasing of subsequent time period and each micro-capacitance sensor allow maximumly purchases electricity sales amount, is handed down to each micro-capacitance sensor;
(2) price and trading volume are reported micro-capacitance sensor as participant in the market by the distributed power source in micro-capacitance sensor, power consumer and electric energy prosumer respectively in advance;
(3) micro-capacitance sensor is as market operation person's formulation, computing market parameter, is handed down to distributed power source, power consumer and electric energy prosumer, announces that random fit trade market is opened;
(4) participant in the market determines to purchase electricity sales amount respectively, from the bidding strategies that main separation is suitable, reports market operation person;
(5) random fit transaction results is issued to each participant in the market by market operation person, and random fit trade market is closed;
(6) participant in the market receives and obeys random fit transaction results;
(7) market operation person reports purchase of electricity needed for electrical network or electricity sales amount, starts to carry out real-time power trade;
(8) real-time deal terminates, and carries out error compensation clearance according to random fit trading volume difference, carries out price subsidy for distributed power source actual power generation simultaneously.
2. micro-capacitance sensor electric energy random fit method of commerce according to claim 1, it is characterized in that, described city field parameters comprises:
P
gs, the every unit electricity of the seller sells to the price of electrical network, determines (non-subsidy electricity price) by bulk power grid;
P
l, in the match trading process of market, the minimum sale of every unit electric energy or purchasing price, determined by market operation person;
P
h, in the match trading process of market, the highest sale of every unit electric energy or purchasing price, determined by market operation person;
P
gb, the buyer is required directly from every unit electricity price that electrical network is bought, and is determined by bulk power grid;
β, seller's unit and buyer's unit take turns for each the market participating fee paid needed for random fit;
R, price range parameter, by price range [p
l, p
h] with (p
h-p
l)/(R-1) be interval decile, show in the match trading process of market, there be R bidding price (R>=2): p
l, p
l+ (p
h-p
l)/(R-1) ..., p
h;
T, the price change minimum step of seller's unit or buyer's unit, that is the change price of next round, T=(p
h-p
l)/(R-1).
3. micro-capacitance sensor electric energy random fit method of commerce according to claim 2, it is characterized in that, each participant in the market estimates the power trade amount of next stage as the buyer or the seller, with every 1kW for basic transaction unit participates in marketing directly, be called buyer's unit and seller's unit, all seller's unit and buyer's unit are carried out random fit transaction by market operation person.
4. micro-capacitance sensor electric energy random fit method of commerce according to claim 3, it is characterized in that, the seller determines the bidding strategies of its every unit electric energy sold, there is G (1), G (2) ..., G (R), select in R bidding strategies altogether, for the seller's unit selecting G (r), it is (r-1) T+p in first run commercial value
lif, the non-Transaction Success of the first run, its bid price reduces T, continues to participate in market coupling in next round, the like, until reach p
lafter, price no longer reduces.
5. micro-capacitance sensor electric energy random fit method of commerce according to claim 3, it is characterized in that, the buyer determines the bidding strategies of the every a electric energy that it will be bought, there is L (1), L (2) ... L (R), R bidding strategies altogether, for the buyer's unit selecting L (r), it is (r-1) T+p in first run purchasing price
lif, the non-Transaction Success of the first run, its bid price increases T, continues to participate in market coupling in next round, the like, until reach p
hafter, price no longer raises.
6. micro-capacitance sensor electric energy random fit method of commerce according to claim 3, it is characterized in that, all seller's unit mate with buyer's unit completely random, with p by each transaction taken turns
srepresent seller's unit bid price, p
brepresent buyer's unit bid price, p
fnrepresent End-price, if p
fnbe not that the match is successful in 0 expression, coupling both sides withdraw from the market; If p
fnbe 0 and represent that coupling is unsuccessful, coupling both sides continue to stay market and participate in next round transaction.
7. micro-capacitance sensor electric energy random fit method of commerce according to claim 6, it is characterized in that, when buying, seller's element number unequal time, for seller's market, namely when seller element number m is less than buyer element number n, fill n-m virtual seller's unit, all take tactful G (M), M can get and be greater than R+C
minthe arbitrary integer of-1, ensures that it takes turns with any tactful buyer's units match all unsuccessful at each; For buyer's market, when namely seller quantity m is greater than buyer quantity n, fill m-n the virtual buyer, all take tactful L (N), N can get and be less than 2-C
minarbitrary integer, ensure that it takes turns with any tactful buyer's units match all unsuccessful at each.
8. micro-capacitance sensor electric energy random fit method of commerce according to claim 3, it is characterized in that, market is closed after the random fit of minimum marketing wheel number, and seller's unit that the match is successful or buyer's unit need to conclude the business with bulk power grid, and sale energy value is p
gs, purchase energy value is p
gb.
9. micro-capacitance sensor electric energy random fit method of commerce according to claim 3, is characterized in that, buy, the transaction value of seller's unit reality is defined as equivalent transaction value p
equ, for seller's unit, p
sequ=p
fn-β, for buyer's unit, p
bequ=p
fn+ β, the minimum equivalent transaction value of seller's unit should be more than or equal to the price being sold to bulk power grid, and the highest equivalent transaction value of buyer's unit should be less than or equal to the price directly buying electric energy from bulk power grid.
10. micro-capacitance sensor electric energy random fit method of commerce according to claim 1, it is characterized in that, market operation person gathers demand and supply function, and comprehensive maximum transmission line allows power to obtain the bound of price parameter, the transaction electricity expecting equivalent transaction value and correspondence is asked for again with this parameter process of iteration, be issued to each participant in the market again, guide it to select suitable bidding strategies and transaction electricity.
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