CN110175699A - Electric power resource decentralization configuration method and system, storage medium based on user preference - Google Patents

Electric power resource decentralization configuration method and system, storage medium based on user preference Download PDF

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CN110175699A
CN110175699A CN201910347322.6A CN201910347322A CN110175699A CN 110175699 A CN110175699 A CN 110175699A CN 201910347322 A CN201910347322 A CN 201910347322A CN 110175699 A CN110175699 A CN 110175699A
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佘维
刘炜
田钊
杨晓宇
刘琦
胡跃
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Zhengzhou University
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Abstract

Electric power resource decentralization configuration method and system provided by the invention based on user preference, in the system, power unit, generator unit form electricity transaction network by energy block routing unit, and power unit and generator unit are acted on behalf of in routing unit to respectively affiliated energy block respectively to be provided for power information and power information;Power unit filters out generator unit subset identical with its electric energy preference according to the type of its electric energy preference from the set of generator unit;The expection electricity that power unit is obtained from the power information that power unit provides, from the generator unit list obtained in the generator unit subset with identical electric energy preference with the numerical value of expected electricity in setting deviation range;Power unit is sent to using generator unit list as selectable generator unit list;Power unit selects the generator unit needed from selectable generator unit list.The present invention can be improved consumption accounting of the clean energy resource in marketing, and energy can be promoted to dissolve nearby.

Description

Power resource decentralized configuration method and system based on user preference and storage medium
Technical Field
The invention belongs to the field of resource configuration, and relates to a power resource decentralized configuration method and system based on user preference and a storage medium.
Background
The explosive growth of distributed energy and controllable load puts forward a new requirement on the real-time consumption capability of the power grid, but no channel for directly carrying out physical, information and value circulation conversion exists among all main bodies, and the rest of electricity is on line to gain benefits by mostly adopting an electricity price subsidy mode at present and cannot be directly transacted in an equivalent way. The electric energy point-to-point transaction needs a safe and transparent transaction environment, and the following problems still need to be solved by building a distributed efficient sharing network: 1) due to the lack of the credit endorsements of the central node, potential safety hazards exist in the credibility and transparency of the multi-user in the flat system; 2) due to the fact that privacy is difficult to guarantee, private data such as the coincidence degree of power generation and utilization data of all main bodies in time, real-time working conditions of equipment, energy use preference and the like are easy to monitor and predict; 3) since each electricity user is often provided with communication and selling services by a third-party service provider, the agent may steal related information to maximize the benefit of the agent, which may result in malicious competition. Other technical frameworks and solutions are being embraced into new direction for power resource configuration pattern design.
The blockchain technology is a brand new decentralized distributed computing paradigm that has been gradually created with the increasing popularity of digital cryptocurrency, such as bitcoin. The blockchain with distributed redundant ledgers, encryption algorithms and consensus mechanisms as main technical features has generated an important impact in the energy field. The research framework and the typical application of the block chain technology in the energy Internet are studied, and the potential application of the energy block chain in the dimensions of functions, objects, attributes and the like is analyzed from the physical-information-value perspective and summarized and generalized. In the field of power resource configuration, most of documents at the present stage analyze a user power resource configuration mode from the safety perspective, and the energy preference integration of users in new energy grid connection is rarely involved.
Disclosure of Invention
The invention provides a block chain-based power transaction network, in particular to a power resource decentralized configuration method based on user preference, which aims to solve the problems in the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
the decentralized configuration method of the power resources based on the user preference comprises the following steps:
establishing a power transaction network, wherein the power transaction network is a six-tuple NET:
NET=(G,P,R,F,T,ρ)
wherein ,
1)G={gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit, N+Is a positive integer set;
2)P={pj|j∈N+is a finite set of electricity consuming units, pjIs the J-th power utilization unit, N+Is a positive integer set;
3)R={rk|k∈N+is an energy block proxy routing unit REBAOf a finite set of N+Is a positive integer set;
4)F={fll belongs to N is a finite set of electric energy preference, wherein N is a natural number set, flA set of power preferences representing a type l;
5)T={tm|tm∈G×R×P,m∈N+is a power generation unit via REBATransaction set, t, for supplying energy to electricity consuming unitsmRepresenting the mth transaction path;
6) rho (G, R, P) → T is a mapping function of G, P, R to T;
in an electric power transaction network, a power consumption unit pjAnd a power generation unit giRespectively providing power supply information and power utilization information to the energy block proxy routing units R to which the energy block proxy routing units belong;
power utilization unit pjAccording to the type of the electric energy preference of the generating units, a generating unit subset with the same electric energy preference is screened from the generating unit set G;
slave power unit pjObtaining electricity utilization unit p in provided electricity utilization informationjObtaining a list of power generation units with a value within a set deviation range from the expected electric quantity from the subset of power generation units with the same power preference;
sending the list of power generating units as a selectable list of power generating units to the electricity consuming unit pj
Power utilization unit pjThe required power generating unit is selected from the selectable list of power generating units.
The limited set of power preferences F ═ F in 3) abovelThe power preference in | l ∈ N } includes:
(1) environment-friendly preference value of power generation unit u per unit time
Wherein p, w, h and f are power generation types of photovoltaic power, wind power, water power and thermal power respectively; etotalThe total generated energy of various energy sources in unit time of the generating unit u is obtained; phi is a set of energy power generation types; lambda [ alpha ]αThe environmental pollution degree weights of different energy types;
(2) preference value of power generation unit v for saving power transmission resource in unit time
Wherein N is the total number of transactions ηnThe unit distance line loss rate of the nth transaction; dnThe transmission distance for the nth transaction;
(3) economic and efficient preference value of power generation unit w in unit time
wherein ,the actual electricity price of the nth transaction at the tth moment;and the corresponding power grid electricity price is obtained.
After the power generation unit list is obtained, the power generation unit list with the value within the set deviation range comprises the following steps:
the power generation units in the power generation unit list are sorted through a multi-preference comprehensive evaluation function, and the sorted power generation unit list is used as a selectable power generation unit to be sent to the power utilization unit pj
The multi-preference comprehensive evaluation function is as follows:
is the comprehensive evaluation value of the power generation unit z; omega, mu and theta are weighted values of an environment-friendly preference value, a power transmission resource saving preference value and an economic and efficient preference value respectively and are constants.
In an electric power transaction network, a power consumption unit pjAnd a power generation unit giRespectively providing power supply information and power utilization information to the energy block proxy routing units R to which the energy block proxy routing units belong in real time;
the power supply information includes: presetting power supply quantity, power supply type, line loss rate and electricity price;
the electricity consumption information includes: and reserving power consumption and reserving power preference.
A system for applying the method, comprising:
the user division module is used for dividing nodes forming the electric power transaction network into a power generation unit and a power utilization unit;
the energy block proxy routing module is used for providing the energy block proxy routing units for the power generation units and the power utilization units;
the power consumption unit and the power generation unit respectively provide power supply information and power consumption information for the energy block proxy routing units to which the power consumption unit and the power generation unit belong;
a transaction processing module for implementing a transaction between the power utilization unit and the power generation unit, the transaction comprising:
(1) the power utilization unit screens a power generation unit subset with the same power preference from the set of power generation units according to the type of the power preference of the power utilization unit;
(2) slave power unit pjObtaining the expected electric quantity of the electricity utilization unit from the provided electricity utilization informationAcquiring a power generation unit list with the value of expected electric quantity within a set deviation range from a power generation unit subset with the same power preference;
(3) sending the power generation unit list as a selectable power generation unit list to the power utilization unit;
(4) the electricity utilization unit selects a required power generation unit from the selectable power generation unit list.
A computer storage medium having stored thereon executable code that, when executed by a processor, performs the method.
The invention has the beneficial effects that: the invention can improve the consumption ratio of clean energy in market transaction and promote the nearby consumption of energy.
Drawings
Figure 1 is a power block proxy router.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The energy internet based on the block chain can construct an equivalent credible network transaction environment, and data are verified and maintained by all members in the network together, wherein all the members in the network mainly comprise two types of main bodies:
1) energy node (energy node): the energy nodes are divided into 3 types, wherein users taking small and medium-sized photovoltaic, hydraulic, wind power and other power generation equipment as energy bases can select spontaneous self-use or complementary energy to surf the internet according to self requirements, and the energy nodes are used as energy producers and consumers (prosumers) to participate in energy retail markets; users of large-scale power generation equipment represented by large-scale thermal power plants are mostly energy producers (producers) and participate in energy wholesale markets; the pure load is the energy consumer (consumer). The network composed of the producer, the consumer and the consumer participates in the whole process of sending, transmitting, changing, matching and using together and cooperates with each other. The electric power trading network is provided with a plurality of energy source nodes.
2) Energy block agent router (energy block agent router): the energy router is intelligent equipment for dynamically allocating various power resources, the energy proxy router is in the prior art, and the energy block proxy router is abbreviated as REBA
FIG. 1 is a block diagram of a power block proxy router, wherein R is shownEBAThe logic function is divided into two parts: an Energy Routing (ER) module and a Block Processing (BP) module. In the energy routing module, standardized electrical interfaces and standardized communication interfaces connect the various subunits. In the block processing module, transaction information in the information network is collected, and the transaction information enters R after verification and confirmationEBAA local transactional memory pool, and generates a meikel tree for verification and storage. R for completion of workload certificationEBANew blocks will be generated and broadcast to other REBAAnd waiting for other nodes to verify. If not, or other REBAIf the transaction is completed first, a new round of transaction information collection is immediately carried out. A smart contract (smart contract), which may formulate transaction rules for the energy network, is triggered by an event. REBAThe whole network records the complete account book of all the specific transaction details from the creation block, is the whole node in the block chain, and can be used for independently verifying and tracing any transaction. Because the whole node has certain requirements on physical storage and communication capacity, a user can pass through REBASimplified Payment Verification (SPV) to remove restrictions and manage assets through light nodes.
On the basis, the invention provides a power resource decentralized configuration method based on user preference.
In the method of the present invention, firstly, a power resource configuration method (power resources configuration method on node preference) based on node preference is provided, and resource configuration self-adaptation is realized from the electrical energy preference perspective of the node.
The invention firstly provides an electric power transaction network (electric trade network) with node electricity utilization preference, which is hereinafter abbreviated as NET
NETIs a six-tuple:
NET=(G,P,R,F,T,ρ)
wherein ,
1)G={gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit, N+Is a positive integer set;
2)P={pj|j∈N+is a finite set of electricity consuming units, pjIs the J-th power utilization unit, N+Is a positive integer set;
3)R={rk|k∈N+is an energy block proxy routing unit REBAOf a finite set of N+Is a positive integer set;
4)F={fll belongs to N is a finite set of electric energy preference, wherein N is a natural number set, flA set of power preferences representing a type l;
5)T={tm|tm∈G×R×P,m∈N+is a power generation unit via REBATransaction set, t, for supplying energy to electricity consuming unitsmRepresenting the mth transaction path;
6) rho (G, R, P) → T is a mapping function of G, P, R to T;
in the above (4), the power preference includes at least three types, and each element of the limited set of power generation units and the limited set of power consumption units has the power preference. The preference of electric energy can be divided into three types, namely environment-friendly type, power transmission resource saving type, economical efficiency type and high efficiency type. The environment-friendly type power generation is mainly characterized by clean energy power generation, the power transmission resource saving type power transmission line loss is mainly characterized by low power transmission line loss, and the economic and efficient type power transmission line is mainly characterized by low selling price.
1) Environment-friendly type
Environment-friendly preference: the power generation environmental friendliness degree of the supplier can be reflected by the supply proportion of the clean energy in the energy supply period.
Environment-friendly preference value of power generation unit u per unit time
Wherein p, w, h and f are power generation types of photovoltaic power, wind power, water power and thermal power respectively; etotalThe total generated energy of various energy sources in unit time of the generating unit u is obtained; phi is a set of energy power generation types; lambda [ alpha ]αThe environmental pollution degree weights of different energy types;
2) power transmission resource saving type
There is often a relatively large loss of power during power distribution. Due to the rapid development of the energy Internet, the structure of the power distribution network is more complex, and the calculation of line loss is more complicated. However, in a similar network environment, the transmission distance is often positively correlated with the energy consumption. Therefore, the parameters of the power transmission resource saving preference are as follows:
preference value of power generation unit v for saving power transmission resource in unit time
Wherein N is the total number of transactions ηnThe unit distance line loss rate of the nth transaction; dnThe transmission distance for the nth transaction;
the habit of the historical distance of the transmitted electric energy within a period of time can be reflected, and the smaller the value is, the higher the resource saving performance is.
3) Economic and efficient
The electric power trading network of the invention converts the actual electricity price EPDivided into grid electricity prices ENAnd floating electricity price EFTwo parts. The former is the time-of-use electricity price uniformly released by the national grid, and the latter is a floating part which can be automatically regulated and controlled by a power supplier according to the cost and the running condition of the power supplier.
EP=EN+EF=EN+γEN
Where γ is a floating factor limiting the magnitude of the floating, γ ∈ (δ)12);δ1 and δ2Respectively, the lower and upper limits of the fluctuation.
Thus giving cost-effective preference parameters: economic and efficient preference value of power generation unit w in unit timeExpressed as:
wherein ,the actual electricity price of the nth transaction at the tth moment;and the corresponding power grid electricity price is obtained.
The bidding habit of the power supplier can be reflected to a certain extent, and the smaller the value, the more economic and efficient.
In the above (6), ρ (G, R, P) → T is a power information matching method, specifically, a mapping function of G, P, R to T; the power information method is algorithmically present in a computer memory device for matching power generating units to power consuming units.
Energy consumers select one or more of the three types of electric energy supply preferences as demand preferences according to personal preferences according to specific scenes such as self living environment, power consumption requirements, economic factors and the like. Energy producers and consumers can be divided into two types of self-purchasing electricity and surplus electricity on-line according to the self electricity utilization condition, and the two types of actions belong to buying and selling, and are composite carriers with preference for supply and demand. Energy supply information provided by an energy producer is screened and filtered by EIMA (enhanced interactive authentication and authorization) and matched with a demand side to realize consensus, an optimal energy transaction object queue is formed and recommended to an electricity purchasing party, and the electricity purchasing party freely transacts according to actual demand and personal wishes to finally form an energy transaction set T.
The energy consumers belong to the electricity utilization unit, the energy producers and consumers belong to the electricity utilization unit and/or the power generation unit, and the energy producers belong to the power generation unit and can form the energy transaction set T according to the demands and the supply of the energy producers and consumers.
The method comprises the following specific steps:
1) energy-based block router REBAConnecting the intelligent device carrier for block chain and power transmission, establishing a private chain of electric energy transaction through the same founding block file, eachEnergy proxy block router REBAThe intelligent contract-based electric energy transaction rules are defined through intelligent contracts, are deployed in an energy source block chain network, and are subjected to physical information interconnection and intercommunication by an energy source agent block router REBACo-executing and maintaining.
2) Energy proxy block router REBAAnd collecting information such as energy supply plans, unit prices, electric quantities, transmission distances and line loss states during electric energy grid connection, and calculating preference types of single electric energy grid connection. When the electricity utilization unit sends a transaction request, the intelligent contract is triggered to automatically match the electric energy transaction.
3) Energy proxy block router REBAScreening out units with the same preference as the electricity utilization units from the electricity generation unit set G according to the electricity utilization preference request of the electricity utilization units through an intelligent contract, and forming a preference set SP _ List, wherein the set is a power generation unit subset;
4) energy proxy block router REBAScreening an electric energy matching set SA _ List meeting the electric quantity requirement from the same preference set SP _ List according to the expected electric quantity of the power utilization unit, wherein the set is a power generation unit List;
5) and sequencing the list through a multi-preference comprehensive evaluation function according to the power generation units in the power generation unit list, and acquiring the sequenced power generation unit list for selection. I.e. energy proxy block router REBAAnd screening out an optimal energy trading order from the SA _ List according to the high-low order of the comprehensive evaluation value through a multi-preference comprehensive evaluation function according to the historical energy supply data of the power generation unit, and recommending the optimal energy trading order to the power utilization unit, wherein the comprehensive evaluation value is sorted from large to small.
6) And the electricity utilization unit selects a required power generation unit from the energy transaction sequence, and the transaction object is confirmed. REBAAnd collecting all transaction results in the same time period to form a transaction set T. Processing each transaction into a hash value through a hash function, and hashing every two transactions in the T to form a Merkle tree which is recorded into a transaction storage pool in a block chain.
7) Each R isEBAObtaining the accounting right of the new block through ore excavation competition, and obtaining the R of the accounting right firstEBAData in the trading storage pool is packaged and broadcast to the network. And after the whole network verification is passed, the transaction in the time period is authenticated, and the transaction is ended.
Wherein the multi-preference comprehensive evaluation function (MPCSF) is:
is the comprehensive evaluation value of the power generation unit z; omega, mu and theta are weighted values of an environment-friendly preference value, a power transmission resource saving preference value and an economic and efficient preference value respectively and are constants.
The higher the supplier recommendation order, the higher the transaction priority. By establishing a high evaluation value standard, energy high-benefit driving and excitation are formed, and a market trading result and related policies can be fed back to an adjustment system in time, so that the resource allocation capability is effectively improved.
In the electric power transaction network, G and P respectively correspond to the R to which the G and P belongEBAProviding own energy supply plan, load demand, supply and demand electric energy preference, electric quantity, electricity price and other information in real time according to respective needs, REBAEnergy surplus and shortage in the area are planned, the information of receiving and selling in the energy network is collected, and the requirements of all main bodies are broadcasted. On one hand, screening and intelligent matching of multi-user transaction objects are realized through EIMA (enhanced interactive experience) through preference matching, electric quantity matching and comprehensive preference sorting matching, and a T is formed after a user autonomously selects a transaction object; on the other hand, the overall efficiency of the transaction object is realized through a multi-preference comprehensive evaluation functionEvaluating and adjusting the weight of various information according to the operation condition of the final electric power market.
REBAConnecting each transaction body, providing services such as energy exchange, information transfer, power grid monitoring, trend optimization, auxiliary analysis and the like for users, and simultaneously, providing services such as REBAAnd forming a block chain network, establishing trust in an energy network, jointly recording, verifying, supervising and maintaining the operation of the whole power market, and realizing the transfer of energy entities and economic values. The intelligent contract maintained on the chain can effectively standardize the market trading system and improve the operation efficiency. Smart contracts are commonly maintained by the electricity market, via REBAAnd storing the broadcast into a block chain after diffusion, and triggering a specific event and executing an intelligent contract after verifying that the expected supply and demand electric energy and the preference meet the requirements and the accuracy is ensured. REBAIntelligently recommending an optimal supplier for a demand side agent user through EIMA written in a contract to realize decision analysis; and the feedback of power purchasing of a demand party is provided for the supply side, the adjustment of the energy supply habit of the supply side is promoted, and the whole capacity structure is further optimized. Entering into R after the final transaction is confirmedEBAAfter the competition obtains the billing right in the trading storage pool of (1), a new block is generated. Once the smart contract is executed, the information such as the preference, the amount of electricity, and the composite evaluation value of the transaction cannot be changed or destroyed.
The invention also provides a system capable of implementing the method of the invention, the system at least comprising:
the user division module is used for dividing nodes forming the electric power transaction network into a power generation unit and a power utilization unit;
the energy block proxy routing module is used for providing the energy block proxy routing units for the power generation units and the power utilization units;
the power consumption unit and the power generation unit respectively provide power supply information and power consumption information for the energy block proxy routing units to which the power consumption unit and the power generation unit belong;
a transaction processing module for implementing a transaction between the power utilization unit and the power generation unit, the transaction comprising:
(1) the power utilization unit screens a power generation unit subset with the same power preference from the set of power generation units according to the type of the power preference of the power utilization unit;
(2) slave power unit pjAcquiring the expected electric quantity of the power utilization unit from the provided power utilization information, and acquiring a power generation unit list with the value of the expected electric quantity within a set deviation range from the power generation unit subset with the same power preference;
(3) sending the power generation unit list as a selectable power generation unit list to the power utilization unit;
(4) the electricity utilization unit selects a required power generation unit from the selectable power generation unit list.
That is, the above modules are combined to implement the method of the present invention, but those skilled in the art will understand that the above modules are merely functional partitions, and each module may be a module with an independent function or an independent module.
The present invention also provides a computer storage medium, which stores executable codes, and when the executable codes stored on the computer storage medium can be executed by a processor, the computer storage medium can be all existing storage media, such as a magnetic disk, an optical disk, a read-only memory, a random access memory, etc., and the computer instructions are used for implementing all or part of the process of the method by instructing corresponding hardware through a computer program.
In the description herein, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the present invention should be covered by the present invention.

Claims (6)

1. The decentralized configuration method of the power resources based on the user preference is characterized by comprising the following steps:
establishing a power transaction network, wherein the power transaction network is a six-tuple NET:
NET=(G,P,R,F,T,ρ)
wherein ,
1)G={gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit, N+Is a positive integer set;
2)P={pj|j∈N+is a finite set of electricity consuming units, pjIs the J-th power utilization unit, N+Is a positive integer set;
3)R={rk|k∈N+is an energy block proxy routing unit REBAOf a finite set of N+Is a positive integer set;
4)F={fll belongs to N is a finite set of electric energy preference, wherein N is a natural number set, flA set of power preferences representing a type l;
5)T={tm|tm∈G×R×P,m∈N+is a power generation unit via REBATransaction set, t, for supplying energy to electricity consuming unitsmRepresenting the mth transaction path;
6) rho (G, R, P) → T is a mapping function of G, P, R to T;
in an electric power transaction network, a power consumption unit pjAnd a power generation unit giRespectively providing power supply information and power utilization information to the energy block proxy routing units R to which the energy block proxy routing units belong;
power utilization unit pjAccording to the type of the electric energy preference of the generating units, a generating unit subset with the same electric energy preference is screened from the generating unit set G;
slave power unit pjObtaining electricity utilization unit p in provided electricity utilization informationjObtaining a list of power generation units with a value within a set deviation range from the expected electric quantity from the subset of power generation units with the same power preference;
sending the list of power generating units as a selectable list of power generating units to the electricity consuming unit pj
Power utilization unit pjThe required power generating unit is selected from the selectable list of power generating units.
2. The user preference based power resource decentralized configuration method according to claim 1, characterized in that:
the limited set of power preferences F ═ F in 3) abovelThe power preference in | l ∈ N } includes:
(1) environment-friendly preference value of power generation unit u per unit time
Wherein p, w, h and f are power generation types of photovoltaic power, wind power, water power and thermal power respectively; etotalThe total generated energy of various energy sources in unit time of the generating unit u is obtained; phi is a set of energy power generation types; lambda [ alpha ]αThe environmental pollution degree weights of different energy types;
(2) preference value of power generation unit v for saving power transmission resource in unit time
Wherein N is the total number of transactions ηnThe unit distance line loss rate of the nth transaction; dnThe transmission distance for the nth transaction;
(3) economic and efficient preference value of power generation unit w in unit time
wherein ,the actual electricity price of the nth transaction at the tth moment;and the corresponding power grid electricity price is obtained.
3. The user preference based power resource decentralized configuration method according to claim 1, characterized in that:
after the power generation unit list is obtained, the power generation unit list with the value within the set deviation range comprises the following steps:
the power generation units in the power generation unit list are sorted through a multi-preference comprehensive evaluation function, and the sorted power generation unit list is used as a selectable power generation unit to be sent to the power utilization unit pj
The multi-preference comprehensive evaluation function is as follows:
is the comprehensive evaluation value of the power generation unit z; omega, mu and theta are weighted values of an environment-friendly preference value, a power transmission resource saving preference value and an economic and efficient preference value respectively and are constants.
4. The user preference based power resource decentralized configuration method according to claim 1, characterized in that:
in an electric power transaction network, a power consumption unit pjAnd a power generation unit giRespectively providing power supply information and power utilization information to the energy block proxy routing units R to which the energy block proxy routing units belong in real time;
the power supply information includes: presetting power supply quantity, power supply type, line loss rate and electricity price;
the electricity consumption information includes: and reserving power consumption and reserving power preference.
5. A system for applying the method of any of claims 1 to 4, comprising:
the user division module is used for dividing nodes forming the electric power transaction network into a power generation unit and a power utilization unit;
the energy block proxy routing module is used for providing the energy block proxy routing units for the power generation units and the power utilization units;
the power consumption unit and the power generation unit respectively provide power supply information and power consumption information for the energy block proxy routing units to which the power consumption unit and the power generation unit belong;
a transaction processing module for implementing a transaction between the power utilization unit and the power generation unit, the transaction comprising:
(1) the power utilization unit screens a power generation unit subset with the same power preference from the set of power generation units according to the type of the power preference of the power utilization unit;
(2) slave power unit pjAcquiring the expected electric quantity of the power utilization unit from the provided power utilization information, and acquiring a power generation unit list with the value of the expected electric quantity within a set deviation range from the power generation unit subset with the same power preference;
(3) sending the power generation unit list as a selectable power generation unit list to the power utilization unit;
(4) the electricity utilization unit selects a required power generation unit from the selectable power generation unit list.
6. A computer storage medium having executable code stored thereon, the computer storage medium characterized by:
the executable code stored on a computer storage medium, when executed by a processor, implements the method of any of claims 1 to 4.
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