CN109255526A - It is a kind of meter and game risk the end-to-end method of commerce of micro-capacitance sensor user - Google Patents

It is a kind of meter and game risk the end-to-end method of commerce of micro-capacitance sensor user Download PDF

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CN109255526A
CN109255526A CN201810953757.0A CN201810953757A CN109255526A CN 109255526 A CN109255526 A CN 109255526A CN 201810953757 A CN201810953757 A CN 201810953757A CN 109255526 A CN109255526 A CN 109255526A
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buyer
seller
price
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张真源
汤皓越
黄琦
丁迪
丁一迪
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University of Electronic Science and Technology of China
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Abstract

The invention discloses a kind of meter and the end-to-end method of commerce of micro-capacitance sensor user of game risk, based on game method simultaneously, by the way that risk analysis is added, defines User Priority, it solves the problems, such as to limit number of users in conventional transaction method and user status is unequal, while improving the use and the integral benefit of all users of generation of electricity by new energy.

Description

It is a kind of meter and game risk the end-to-end method of commerce of micro-capacitance sensor user
Technical field
The invention belongs to intelligent power grid technology fields, more specifically, be related to it is a kind of meter and game risk micro-capacitance sensor The end-to-end method of commerce of user.
Background technique
With the rise of smart grid, the development of the new energy the relevant technologies such as wind, light, heat, storage and the promotion of national policy, Photovoltaic in a distributed manner is gradually appeared in power consumer side and energy storage is core element, the user side for comprehensively utilizing controllable burden resource Micro-grid system.In such micro-grid system, if user and distributed energy directly participate in electricity market, new energy Utilization can greatly promote, to reduce conventional Power Generation Mode bring environmental pollution；Simultaneously because zero side of distributed energy Border cost, the interests of user can achieve optimal.But due in conventional electric power market there are apparent hierarchical structure, dispersion User group and distributed energy are in structure bottom, directly the ability shortcoming of participation electricity market, thus establish it is a set of towards The interactive energy market of distributed main market players becomes an important research topic.The end-to-end transaction conduct of micro-capacitance sensor user A kind of trade mode the most typical has obtained great attention in interactive energy market.In a recent study, in order to complete It is apt to the end-to-end electricity exchange model of existing user, game method is widely applied in user transaction process.
Document " Long C, Wu J, Zhang C, et al.Peer-to-Peer Energy Trading in a Community Microgrid [C] .IEEE Pes General Meeting.IEEE, 2017. " propose a kind of two way auction Game method carry out the end-to-end power trade of user.This method not only increases the usage amount of new energy, is also considering Different market clearing prices is chosen on the basis of price theory, to improve the integral benefit of user.But this game Method requires the quantity of the both parties to participate in business must be consistent, this reality for limiting this method to a certain extent is answered With.
Document " Opadokun F, Akter M N, Roy T K, et al.Prioritizing customers for neighborhood energy sharing in residential microgrids with a transactive Energy market [C] .IEEE Pes General Meeting.IEEE, 2018. " propose a kind of more leaders follows more The game method of person.Seller preferentially provides the electricity and pricing information of oneself as leader, and buyer obtains as follower It is selected again after to these information.Although there is no limit for quantity of this method to both parties, and improves user Whole income, but the price due to only being determined deal by the decision of the seller, thus can not effectively guarantee market Fairness.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of meter and the micro-capacitance sensor user terminals of game risk Opposite end method of commerce carries out micro-capacitance sensor user end-to-end transaction under the premise of not limiting customer transaction quantity, guarantees that market is fair Property, promote the use of new energy and improve social integral benefit.
For achieving the above object, a kind of meter of the present invention and the end-to-end method of commerce of micro-capacitance sensor user of game risk, Characterized by comprising the following steps:
(1), always supplying, needing energy for market is determined
(1.1), classify to user
Based on user's energy service condition, user is divided into seller NsWith buyer NbTwo classes；
(1.2), user issues respective energy situation
When transaction starts, each seller NsThe supply electric energy E that itself is estimatedE(i, Δ t) are issued to market, i ∈ Ns, Indicate that i-th of seller, Δ t indicate exchange hour；Each buyer NbThe required electric energy E estimated is issued to marketS(j,Δ T), j ∈ Nb, indicate j-th of buyer；
(1.3), market integral energy situation is determined；
The overall supplying energy of computing market
The total demand energy of computing market
(2), game risk analysis is carried out
(2.1), VaR type is determined
It is based onWithSize relation: greater than or be less than or equal to, point be opposite by VaR The three types answered；
(2.2), VaR value is determined
(2.2.1), the concrete type according to VaR, in historical trading data, the N number of market for choosing corresponding types is average Transaction value arranges this N number of data according still further to time sequencing are as follows: p (i), i=-N,-(N-1) ..., and -1；
(2.2.2), it is based on this N number of data, determines past N-1 transaction value variable quantity: Δ p (i)=p (- i)-p (- ), i-1 i=(N-1), (N-2) ..., 1；
(2.2.3), be averaged transaction value and N-1 transaction value variable quantity by N number of market, determines the following possible friendship Easy price: p (i)=p (- 1)+Δ p (i), i=N, (N-1) ..., 1, then by these possible transaction values according to from small to large Sequence arranged；
(2.2.4), take respectively in step (2.2.3) according to from small to large sequence arrange after N* (1- α) a numerical value and Lower limit and the upper limit of the N* α numerical value as the value of VaR, wherein α is the confidence level of VaR；
(3), the value of VaR is distributed to all users as reference, is based on VaR value interval, seller, buyer are come from Oneself desired transaction value section:
ri=[rimin,rimax],i∈Ns
rj=[rjmin,rjmax],j∈Nb
Wherein, riIndicate the price range that seller i is provided, rjIndicate the price range that seller j is provided；
(4), transaction priority is determined
(4.1), the mathematical model of transaction is established
Wherein, ESNj(i, Δ t) indicate that seller i is sold to the electricity of buyer j；EPNi(j, Δ t) indicate buyer j from seller i The electricity of purchase；ESG(i, Δ t) and EPG(j, Δ t) respectively indicate seller i be sold to power grid electricity and buyer j from power grid buy Electricity；Us(i) and Ub(j) purchases strategies for selling electric income and buyer j of seller i are respectively indicated；rFTAnd rUYIt respectively indicates and sells Buying price of the family to the selling price of power grid sale of electricity and the buyer power purchase from power grid；
(4.2), priority orders are determined
Price range given by (4.2.1), the user by participation only has price range given by unique dealer When having corresponding lap with it, then this group of user's override is concluded the transaction；
(4.2.2), in meter and game, when game both sides reach Nash Equilibrium, both sides find the optimal of oneself simultaneously Strategy is optimal benefit, then determining the transaction priority orders of these users by Nash Equilibrium；
(4.2.3), when Nash Equilibrium can not judge to trade priority, by the buyer or more with more low battery demand The seller of electricity supply preferentially trades；
(4.2.4) if, when priority determines same failure in step (4.2.3), handed over according to these participating users in history Obtained credit scoring height judges its priority of trading during easily；
(5), user trades according to the priority orders that step (4) determine, in process of exchange, if there is user at this It fails in one exchange hour and carries out end-to-end transaction with other users, then they directly trade with power grid.
Goal of the invention of the invention is achieved in that
The end-to-end method of commerce of micro-capacitance sensor user of a kind of meter of the present invention and game risk, using game method simultaneously as base Plinth solves in conventional transaction method by the way that risk analysis is added, defines User Priority to number of users limitation and user The unequal problem in status, while improving the use and the integral benefit of all users of generation of electricity by new energy.
Also, a kind of meter of the present invention and the end-to-end method of commerce of micro-capacitance sensor user of risk also have the advantages that
(1), this invention ensures that the fairness in market, both parties provide the transaction value area of oneself simultaneously in the process Between, so that both parties is all played the role of decision to transaction value, the interests for avoiding a wherein side severely damaged are asked Topic；
(2), risk analysis is added during game at the same time in the present invention, improves while the defect of game method, has The high risk of Fail Transaction is avoided to effect, and improves the success rate of the end-to-end transaction of user；
(3), compared with traditional end-to-end method of commerce of micro-capacitance sensor user, the risk analysis tool VaR that the present invention is added promotees Into transaction value approaching to market clearing price between user, this makes both parties quickly reach transaction equilibrium point, thus The integral benefit of user is ensured.
Detailed description of the invention
Fig. 1 is the end-to-end method of commerce flow chart of micro-capacitance sensor user of a kind of meter of the present invention and risk；
Fig. 2 is the influence for the price range for illustrating that risk analysis provides user；
Fig. 3 is the change curve of customer transaction valence after risk analysis is added；
Fig. 4 is the end-to-end trade market basic structure of micro-capacitance sensor user；
Fig. 5 is the electric quantity change curve of power generation in each user one day and electricity consumption；
Fig. 6 is the exchange hand of the end-to-end transaction of user in different moments micro-capacitance sensor；
Fig. 7 is certain two user to bid the displaying in section in different moments.
Specific embodiment
A specific embodiment of the invention is described with reference to the accompanying drawing, preferably so as to those skilled in the art Understand the present invention.Requiring particular attention is that in the following description, when known function and the detailed description of design perhaps When can desalinate main contents of the invention, these descriptions will be ignored herein.
Embodiment
Fig. 1 is the end-to-end method of commerce flow chart of micro-capacitance sensor user of a kind of meter of the present invention and risk.
In the present embodiment, as shown in Figure 1, the end-to-end counterparty of micro-capacitance sensor user of a kind of meter of the present invention and game risk Method, using a hour as time interval Δ t, the user in micro-capacitance sensor is carried out in each time interval by the method for game simultaneously Primary transaction, specifically includes the following steps:
S1, always supplying, needing energy for market is determined
S1.1, classify to user
They are mainly divided into two classes: seller (N by the energy situation based on users) and buyer (Nb).New energy is installed in family Source generating set and in corresponding exchange hour interval, also the user of extra electric energy is i.e. outside the electric energy needed for supply itself For seller；And have in family electrical energy demands and cannot self-centered user be buyer；
S1.2, user issue respective energy situation
When transaction starts, each seller NsThe supply electric energy E that itself is estimatedE(i, Δ t) are issued to market, i ∈ Ns, Indicate that i-th of seller, Δ t indicate exchange hour；Each buyer NbThe required electric energy E estimated is issued to marketS(j,Δ T), j ∈ Nb, indicate j-th of buyer；
S1.3, market integral energy situation is determined；
The overall supplying energy of computing market
The total demand energy of computing market
Based on energy message provided by each user in S1.2, more overall supplying energyWith it is total Body energy demandSize relation.
S2, game risk analysis is carried out
Since in both parties' gambling process, there are the risks of Fail Transaction.Therefore, it in order to reduce this risk, mentions The transaction success rate of high both parties, namely the usage amount of new energy is improved, present invention employs a kind of risk analysis tools, i.e., Venture worth (VaR) carries out risk assessment.In the present invention, venture worth (VaR) is mainly used for estimation in given confidence level In the case where 95%, both parties are capable of the price range of Successful Transaction.
S2.1, VaR type is determined
According to price theory it is found that the relation between supply and demand in market can be with price determination.In the present invention, in order to preferably estimate Transaction value section, is based onWithSize relation: greater than or be less than or equal to, VaR is divided For corresponding three types, the type of VaR can be determined by the comparison result of S1.3.
S2.2, VaR value is determined
S2.2.1, the concrete type according to VaR, in historical trading data, 51 markets for choosing corresponding types are average Transaction value, while sequentially in time, this 51 data are arranged are as follows: p (i), i=-51, -50 ..., -1；
S2.2.2, this 51 data are based on, determine past 50 transaction value variable quantities are as follows: Δ p (i)=p (- i)-p (- i-1), i=50,49 ..., 1；
S2.2.3, it can determine the following possible transaction by 51 historical trading prices and 50 transaction value variable quantities Price: p (i)=p (- 1)+Δ p (i), i=50,49 ..., 1, while by these possible transaction values according to from small to large Sequence is arranged；
S2.2.4, confidence level α=95% is taken；The after arranging in step S2.2.3 according to sequence from small to large is taken respectively The lower limit and the upper limit of 3 numerical value and the 48th numerical value as the value of VaR, so that it is determined that the value of VaR；
S3, the value of VaR is distributed to all users as reference, is based on VaR value interval, seller, buyer are come from Oneself desired transaction value section:
ri=[rimin,rimax],i∈Ns
rj=[rjmin,rjmax],j∈Nb
Wherein, riIndicate the price range that seller i is provided, rjIndicate the price range that seller j is provided；
When the transaction value section that seller, buyer provide meets:When, then both parties conclude the transaction, and hand over Easy valence rCP(i, j) is equal to the intermediate value of the two transaction value section intersections.
S4, transaction priority is determined
The main target that S4.1, micro-capacitance sensor user carry out end-to-end transaction is to improve new energy usage amount (to improve dealing Both sides' trading volume) guarantee the interests of all participants simultaneously, therefore we establish the mathematical model of transaction, it is as follows:
Wherein, ESNj(i, Δ t) indicate that seller i is sold to the electricity of buyer j；EPNi(j, Δ t) indicate buyer j from seller i The electricity of purchase；ESG(i, Δ t) and EPG(j, Δ t) respectively indicate seller i be sold to power grid electricity and buyer j from power grid buy Electricity；Us(i) and Ub(j) purchases strategies for selling electric income and buyer j of seller i are respectively indicated；rFTAnd rUYIt respectively indicates and sells Buying price of the family to the selling price of power grid sale of electricity and the buyer power purchase from power grid；
These objective functions should meet constraint condition simultaneously:
rFT< rCP(i, j) < rUY
S4.2, priority orders are determined
S4.2.1, in order to realize maximum new energy usage amount, price range given by the user by participation is only only When price range given by one dealer has corresponding lap with it, then this group of user's override is concluded the transaction；
S4.2.2, next consider that some user has the case where multiple potential dealers, in meter and game, when game is double When side reaches Nash Equilibrium, both sides find the optimal policy of oneself simultaneously, are optimal benefit, then being determined by Nash Equilibrium The transaction priority orders of these users；
Nash Equilibrium meets:
Wherein,WithSeller i is respectively indicated by electric energy required for the electric energy of sale and buyer j；WithTable respectively Show best price provided by seller i and buyer j, i.e., with the transaction of this price, seller i can get most incomes, the power purchase of buyer j Cost is minimum；riAnd rjRespectively indicate price range provided by seller i and buyer j；r-i *Indicate all seller institutes other than i The price range given, r-j *It indicates other than j so the price range that buyer is given；
S4.2.3, it can not judge priority of trading when Nash Equilibrium, i.e. certain seller (or buyer) and multidigit buyer (or sell Family) be in Nash Equilibrium when, then its priority is determined by the energy of this several buyers (or seller).There is buying for lower electrical demand Family (or seller of more electricity supply) can preferentially trade；
If priority determines same failure in S4.2.4, step S4.2.3, according to these participating users in historical trading Obtained credit scoring height judges its priority of trading in the process；
S5, user trade according to the priority orders that step S4 is determined, in process of exchange, if there is user at this It fails in a exchange hour and carries out end-to-end transaction with other users, then they directly trade with power grid.
Example
The present invention mainly uses two embodiments, and one embodiment illustrates the effect that game risk analysis is added； Second embodiment illustrates the validity of the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter of the present invention and game risk.
One embodiment is studied mainly for the transaction value of six users.Fig. 2 is to illustrate risk analysis to this The influence for the price range that six users provide.Fig. 2 (a) is in the case where risk analysis is not added, and six users are desired Transaction value section；Fig. 2 (b) is this desired transaction value section of six users in the case where risk analysis is added.Not When risk analysis is added, the price range of the seller and buyer do not have intersection, this prevents both parties from successfully Mutual dealing, this had not only been unfavorable for the use of new energy, but also compromised the interests of both parties.And be added after risk analysis, it sells Side and the price range of buyer have intersection, this promotes them can be with Successful Transaction.Fig. 3 be added risk analysis after, In two users transaction value change curve.It can be seen from the figure that risk analysis transaction end-to-end to user plays Effective directive function, user can approach optimal Revenue Reconciliation value under its guidance.
Second embodiment has chosen the micro-capacitance sensor comprising 13 users and studies.Fig. 4 is user terminal pair in micro-capacitance sensor Hold trade market basic structure.It is known from figures that, the basic structure of the end-to-end transaction of user is mainly made of four parts: being used Family, power grid, energy flow direction and price flow direction.Wherein include in user or generation of electricity by new energy device is installed at home, or Family had not only been equipped with power generator but also had had energy storage device, or did not installed relevant apparatus these three types user at home；Power grid it is main Effect is to ensure the energy balance in market: when the electricity of user feeds more than their electrical demand, extra electricity It then sells to power grid；When the electricity of user is for when should be less than its electrical demand, the electricity lacked is then bought from power grid；Energy stream Show the selected mode of doing business of user to price flow direction: the user for supplying electricity can be with the user or electricity that need electricity Net is traded, and energy is flowed out by supplier at this time, and price then flows into supplier；The user of demand electricity can be from supply electricity The user of amount or power grid power purchase, energy flows into party in request at this time, and price is then flowed out from party in request.In this embodiment, it is equipped with The user of 5kWh photovoltaic power generation apparatus has 5, wherein two are also equipped with the energy storage device of 7kWh, while without relevant apparatus in family User have 8.
In this example, it is assumed that the user equipped with power generator generates electricity shown in electric quantity change such as Fig. 5 (a), simultaneously daily Assuming that each household family is on weekdays and shown in such as Fig. 5 (b) of charge condition needed for weekend.Since the classification of VaR is supplied depending on electricity Relationship is needed, therefore has chosen working day in the present embodiment respectively and the 10:00-15:00 at weekend is illustrated.On weekdays this A period, electric energy feed more than electrical energy demands；And in this period at weekend, electric energy is for should be less than electrical energy demands.This reality Apply in example it is also assumed that: the power purchase price of user and power grid is 0.22 yuan/kWh, and user is to the price that power grid sells electric energy 0.06 yuan/kWh.
A transaction game is carried out in each time interval by 13 users, it is as shown in Figure 6 in the exchange hand at the moment. Fig. 6 (a) is on weekdays, the case where the trading volume of both parties.By can be seen that the guidance when no game risk in figure When, although can reach certain transaction between user, in 10:00 and 14:00, trading volume is relatively low；And working as has game When risk is added in both parties' process of exchange, trading volume of the user in 10:00 and 14:00 is significantly improved.This friendship The promotion easily measured, it is more obvious in the week Day Trading shown in Fig. 6 (b).The overall condition of the embodiment is as shown in table 1, table 2. As can be seen that the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter of the present invention and game risk, effectively mentions from two tables The high trading volume of this transaction and the overall interests for having ensured all users.
Table 1 is the end-to-end trading situation of working day user；
Table 1
Table 2 is the end-to-end trading situation of weekend user
Table 2
In addition, we have randomly selected on weekdays it is expected transaction value section provided by a buyer, such as Fig. 7 (a) It is shown.In the case where risk analysis is not added, provided price range is changed greatly, and when meter and game risk it Afterwards, price range provided by this buyer tends to be steady.A seller shown in Fig. 7 (b) is desired provided by the weekend Also there is identical situation in transaction value section: when risk analysis is not added, floor price changes at 0.12 yuan to 0.17 yuan, And after meter and game risk, price range is stablized between 0.19 yuan to 0.22 yuan.To illustrate that VaR is one and has again The tool of effect, it can help user to adjust their desired transaction value sections.And the characteristic that tends towards stability in these sections Also the optimal interests that user more easily reachs them are represented.
Although the illustrative specific embodiment of the present invention is described above, in order to the technology of the art Personnel understand the present invention, it should be apparent that the present invention is not limited to the range of specific embodiment, to the common skill of the art For art personnel, if various change the attached claims limit and determine the spirit and scope of the present invention in, these Variation is it will be apparent that all utilize the innovation and creation of present inventive concept in the column of protection.

Claims (4)

1. the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter and game risk, which comprises the following steps:
(1), always supplying, needing energy for market is determined
(1.1), classify to user
Based on user's energy service condition, user is divided into seller NsWith buyer NbTwo classes；
(1.2), user issues respective energy situation
When transaction starts, each seller NsThe supply electric energy E that itself is estimatedE(i, Δ t) are issued to market, i ∈ Ns, indicate I-th of seller, Δ t indicate exchange hour；Each buyer NbThe required electric energy E estimated is issued to marketS(j, Δ t), j ∈Nb, indicate j-th of buyer；
(1.3), market integral energy situation is determined；
The overall supplying energy of computing market
The total demand energy of computing market
(2), game risk analysis is carried out
(2.1), VaR type is determined
It is based onWithSize relation: greater than or be less than or equal to, it is corresponding that VaR, which is divided, Three types；
(2.2), VaR value is determined
(2.2.1), the concrete type according to VaR, in historical trading data, the N number of market for choosing corresponding types is averagely traded Price arranges this N number of data according still further to time sequencing are as follows: p (i), i=-N,-(N-1) ..., and -1；
(2.2.2), it is based on this N number of data, determines past N-1 transaction value variationization amount: Δ p (i)=p (- i)-p (- i- 1), i=(N-1), (N-2) ..., 1；
(2.2.3), be averaged transaction value and N-1 transaction value variable quantity by N number of market, determines the following possible settlement price Lattice: p (i)=p (- 1)+Δ p (i), i=N, (N-1) ..., 1, then these possible transaction values are suitable according to from small to large Sequence is arranged；
(2.2.4), a numerical value of N* (1- α) and N* α after arranging in step (2.2.3) according to sequence from small to large are taken respectively Lower limit and the upper limit of a numerical value as the value of VaR, wherein α is the confidence level of VaR；
(3), the value of VaR is distributed to all users as reference, is based on VaR value interval, seller, buyer provide oneself phase The transaction value section of prestige:
ri=[rimin,rimax],i∈Ns
rj=[rjmin,rjmax],j∈Nb
Wherein, riIndicate the price range that seller i is provided, rjIndicate the price range that family j is provided；
(4), transaction priority is determined
(4.1), the mathematical model of transaction is established
Wherein, ESNj(i, Δ t) indicate that seller i is sold to the electricity of buyer j；EPNi(j, Δ t) indicate that buyer j is bought from seller i Electricity；ESG(i, Δ t) and EPG(j, Δ t) respectively indicate the electricity that seller i is sold to the electricity of power grid and buyer j is bought from power grid Amount；Us(i) and Ub(j) purchases strategies for selling electric income and buyer j of seller i are respectively indicated；rFTAnd rUYRespectively indicate seller to The buying price of the selling price of power grid sale of electricity and the buyer power purchase from power grid；
(4.2), priority orders are determined
Price range given by (4.2.1), the user by participation only has price range given by unique dealer and its When having corresponding lap, then this group of user's override is concluded the transaction；
(4.2.2), in meter and game, when game both sides reach Nash Equilibrium, both sides find the optimal policy of oneself simultaneously, It is optimal benefit, then determining the transaction priority orders of these users by Nash Equilibrium；
(4.2.3), when Nash Equilibrium can not judge to trade priority, by the buyer or more with more low battery demand The seller of supply preferentially trades；
(4.2.4) if, when priority determines same failure in step (4.2.3), according to these participating users in historical trading mistake Obtained credit scoring height judges its priority of trading in journey；
(5), user trades according to the priority orders that step (4) determine, in process of exchange, if there is user at this It fails in exchange hour and carries out end-to-end transaction with other users, then they directly trade with power grid.
2. the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter according to claim 1 and game risk, feature exist In the transaction value section that the seller, buyer provide meets:When, then both parties conclude the transaction, and trade Valence rCP(i, j) is equal to the intermediate value of the two transaction value section intersections.
3. the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter according to claim 1 and game risk, feature exist In the constraint condition that the mathematical model of the transaction meets are as follows:
rFT< rCP(i, j) < rUY。
4. the end-to-end method of commerce of micro-capacitance sensor user of a kind of meter according to claim 1 and game risk, feature exist In the Nash Equilibrium meets:
Wherein, Ei *And Ej *Seller i is respectively indicated by electric energy required for the electric energy of sale and buyer j；ri *And rj *It respectively indicates and sells Best price provided by family i and buyer j, i.e., with the transaction of this price, seller i can get most incomes, the purchases strategies of buyer j At least；riAnd rjRespectively indicate price range provided by seller i and buyer j；r-i *Expression all sellers other than i are given Price range, r-j *It indicates other than j so the price range that buyer is given.
CN201810953757.0A 2018-08-21 2018-08-21 It is a kind of meter and game risk the end-to-end method of commerce of micro-capacitance sensor user Pending CN109255526A (en)

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CN110414764A (en) * 2019-05-10 2019-11-05 西安理工大学 Micro-capacitance sensor group energy amount game dispatching method based on multi-agent system
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CN109902952A (en) * 2019-02-26 2019-06-18 广东工业大学 A kind of photovoltaic micro electric intelligent transaction system and method based on block chain
CN110414764A (en) * 2019-05-10 2019-11-05 西安理工大学 Micro-capacitance sensor group energy amount game dispatching method based on multi-agent system
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