CN107480847B - Energy source block chain network and virtual power plant operation and scheduling method based on network - Google Patents
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Abstract
The invention relates to an energy block chain network and a virtual power plant operation and scheduling method based on the networkSome power generation units G form a power supply index block chain C according to the mapping alphaPSIB(ii) a The trading processes of all the power generation units G and the power utilization units P form a power trading set T, and a power trading block chain C is formed according to the mapping betaETBIn the process of forming T, all the electricity utilization units P and the electricity generation units G complete transactions according to a specific intelligent contract IC. The energy block network model is introduced into the operation scheduling process of the virtual power plant, so that the overall efficiency of the virtual power plant is improved, and the virtual power plant obtains greater information security guarantee by virtue of the own cryptology characteristics of the block chain.
Description
Technical Field
The invention belongs to the field of control theory and control engineering, and particularly relates to information operation and scheduling of a virtual power plant.
Background
With the rapid development of distributed renewable energy, demand-side management and Virtual Power Plants (VPP) have become a key factor [1] that advances from smart grids to the energy internet, with virtual power plants being the most important technology. The virtual power plant technology is that a controllable load, a distributed electric power source (DER) and an energy storage system are organically combined through a virtual control center, and the controllable load, the DER and the energy storage system are operated in a power grid in the form of a special power plant.
However, the current virtual power plant operation process has some common problems: (1) the virtual power plant needs to aggregate distributed energy resources in different areas, so that the characteristics of randomness, fluctuation and intermittence of green energy resources need to be dealt with, and because electric power is used as a special commodity, the electric power cannot be stored and must be produced and used immediately, ideal utilization rate and overall benefit are difficult to achieve when the virtual power plant is used for dynamic combination of the distributed energy resources. (2) The virtual power plant is used as an important component of the power market and plays a positive role in participating in the power market transaction process. However, at present, a benefit distribution mechanism in the virtual power plant is not disclosed to the outside, and information symmetry bidirectional selection cannot be formed between the distributed energy and the virtual power plant, so that credit cost is increased in the electric power transaction process, and the transaction cost is high. (3) In the existing system, a virtual power plant realizes the scheduling of information and data of each part of a power generation side, a demand side, a power trading market and the like through a two-way communication technology. But a guarantee system aiming at the information security of the virtual power plant is lacked, and the risks of unauthorized acquisition and malicious tampering of key data exist.
Disclosure of Invention
In order to overcome the problems of the virtual power plant, the invention provides a virtual power plant operation model based on an energy source block chain network.
The invention adopts the following technical scheme:
an energy blockchain network, which establishes an eight-tuple energy blockchain network EBN, wherein EBN is an eight-tuple:
EBN＝(G,P,CPSIB,CETB,IC,T,α,β)
wherein the content of the first and second substances,
1)G＝{gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit;
2)P＝{pj|j∈N+is a finite set of electricity consuming units, pjThe j power utilization unit;
3)CPSIBindexing a block chain for power supply;
4)CETBis a power transaction block chain;
5) IC is an intelligent contract;
6)T＝{tk|tk∈G×P,k∈N+is the electric power transaction set, G × P is Cartesian set of G and P, tkInformation representing the kth power transaction;
7)α:G→CPSIBis G to CPSIBMapping of (2);
8)β:T→CETBis T to CETBMapping of (2);
all the power generation units and all the power supply units form a node set of the EBN, and each power supply node and each power generation joint submit self information when the EBN is added;
according to the energy block network EBN, all the generating units G form a power supply index block chain C according to the mapping alphaPSIB(ii) a The trading processes of all the power generation units G and the power utilization units P form a power trading set T, and a power trading block chain C is formed according to the mapping betaETBIn the process of forming T, all the electricity utilization units P and the electricity generation units G complete transactions according to a specific intelligent contract IC.
The power supply index block chain is as follows:
CPSIB＝(C；PSCA)
wherein C is an original block chain, and PSCA is a power supply consensus algorithm;
construction C by a power supply consensus algorithmPSIBThe method comprises the following steps:
step 1: all power supply nodes continuously broadcast power supply information data with sender ID to the EBN whole network;
step 2: all power supply nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each power supply node transmits its own information: sending < PerpareRequest, ID, m, g, r, s > to the EBN, wherein m is power generation capacity, g represents whether renewable energy sources exist or not, r represents power selling price, and s is power generation stability;
and 4, step 4: after recording the received power supply node information, each power supply node automatically calculates the weight of the power supply node and the received weight of each power supply node according to the set weight, selects the node with the maximum weight, and sends the information of the power supply node with the maximum weight to the EBN: < PerpareResponse, ID, m, g, r, s, w >, wherein w is the weight of the node, i.e. the weight accumulation of each feature item;
and 5: after receiving the power supply node information of more than n same maximum weights, any power supply node realizes consensus, and simultaneously, the node with the maximum weight records and adds a new block formed this time;
step 6: after the new block is completed, each node deletes the previous information and starts the next round of consensus.
The power transaction block chain is as follows:
CETB＝(C；ETCA)
wherein C is an original block chain, and ETCA is a power transaction consensus algorithm;
the construction C through the electric power transaction consensus algorithmETBThe method comprises the following steps:
step 1: the nodes participating in the transaction continuously broadcast transaction information data with the sender ID to the EBN whole network;
step 2: all nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each node sends its own information: sending the request to the EBN, wherein PID is ID of the power utilization unit PU, DID is ID of the power generation unit GU, p is power consumption, s is load stability, l is consumption, and c is transaction price;
and 4, step 4: after recording the received information of the power supply nodes, each node calculates the weight of the node and the received weight of each node according to the set weight, selects the node with the maximum weight, and sends the information of the node to the EBN: < PerpareResponse, PID, DID, m, s, l, c, w >; w is the weight of the node, namely the weight accumulation of each characteristic item;
and 5: after any node receives the power supply node information which exceeds n same maximum weights, the node with the maximum weight is used for recording and adding a new block formed this time;
step 6: after the new block is completed, each node deletes the previous information and starts the next round of consensus.
The intelligent contract IC is:
I＝Min[(M*P)*PS*(1-G)]
wherein I is a preset numerical value, and M is the generated energy of a certain energy type; p is the price of the energy type for generating electricity; PS is the stability of the power generation of the energy type; g is the corresponding environmental index.
The self information submitted by the power supply node and the power generation contact when the power supply node and the power generation contact are added into the EBN at the same time at least comprises an identity ID, an account, a maximum power generation amount, an energy type and a geographical position.
A virtual power plant operation and scheduling method based on an energy source block chain network is characterized in that an EBN energy block chain network acquires electricity demand information in real time, packs the information into a block at regular time intervals, forms a power supply index block chain and further forms a power generation plan;
the power generation unit retrieves the latest block of the power supply index block chain, acquires a power generation plan of each power utilization unit in the block, and achieves different transaction results according to different intelligent contracts;
and the power generation unit completes the power generation task according to the transaction content and distributes the power.
Each block of the power supply index block chain is as follows: acquiring power utilization information of the power utilization units within a set time interval t by the EBN energy source block chain;
the power generation unit searches the latest block in the power supply index block chain, acquires the power utilization information of the power utilization unit, and achieves a transaction result according to the intelligent contract.
The invention has the beneficial effects that: compared with the existing virtual power plant, the invention can effectively solve the common problems: the information of the demand side can be reflected in real time; an environment-friendly power generation plan can be carried out according to mass data; the information transparency and stable scheduling of the virtual power plant are facilitated; and ensuring data security and storage security.
Drawings
Fig. 1 is an energy source block chain network.
FIG. 2 shows a power supply index block chain structure.
Fig. 3 is a power transaction block chain structure.
FIG. 4 is a virtual plant model.
FIG. 5 is a virtual plant operation process.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The blockchain is essentially the fusion and innovation of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, and the like. In short, the blockchain is a technical scheme for maintaining a reliable database collectively by any number of nodes in a way of decentralization and distrust through a cryptographic way. The data structure of the block chain is mainly divided into two parts: 1) the block head mainly comprises a hash value of the previous block and is used for connecting the previous block to ensure the integrity of a block chain; 2) the block body contains the main information (such as transaction information) of the block, and the information, the hash value of the last block and the random number together form the hash value of the block.
The data structure of the block chain enables the information of each block on the chain to be traced back by the precursor node and influence the information of the subsequent node, and the cryptology method ensures that malicious attacks cannot tamper the information and ensures the safety and integrity of data.
Due to the characteristics of the block chain, such as decentralization, collective maintenance, intelligent contracts, credible safety and the like, a new solution is provided for the data interoperation and information safety problems of distributed energy grid connection, and the application of the block chain technology in energy trading and virtual power plants is made possible.
The invention firstly proposes an energy block chain model EBN, as shown in fig. 1, the EBN is an octave:
EBN＝(G,P,CPSIB,CETB,IC,T,α,β)
wherein the content of the first and second substances,
1)G＝{gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit;
2)P＝{pj|j∈N+is a finite set of electricity consuming units, pjThe j power utilization unit;
3)CPSIBindexing a block chain for power supply;
4)CETBis a power transaction block chain;
5) IC is an intelligent contract;
6)T＝{tk|tk∈G×P,k∈N+"power transaction set, G × P Cartesian set of G and P, tkInformation representing the kth power transaction;
7)α:G→CPSIBis G to CPSIBMapping of (2);
8)β:T→CETBis T to CETBTo (3) is performed.
In an EBN, all Power Generating Units (GU) and Power consuming units (PU) constitute a node set of the EBN, and each Power Generating unit giAnd each electricity consuming unit pjSubmitting self-related information such as identity ID, account, maximum power generation amount, energy type (new energy/traditional energy), geographic position and the like when adding the EBN, authenticating the EBN, obtaining a specific ID as a unique identity, participating in the cooperation of the EBN and the operation and scheduling of the virtual power plant, wherein a power supply index block chain CPSIBAnd power transaction block chain CETBIs the core of the data interoperation of the whole network.
When the energy block chain network is used for energy transaction, all the power generation units G form a power supply index block chain C according to the mapping alpha according to the formed energy block network EBN modelPSIB(ii) a The trading processes of all the power generation units G and the power utilization units P form a power trading set T, and a power trading block chain C is formed according to the mapping betaETBIn the process of forming T, all the electricity utilization units P and the electricity generation units G complete transactions according to a specific intelligent contract IC.
The power supply index block chain is as follows:
CPSIB＝(C；PSCA)
wherein C is an original block chain, PSCA is a power supply consensus algorithm, a new block chain is constructed through the consensus algorithm, and after the last block chain is connected, during searching, the latest block is searched. The structure of the blockchain is shown in fig. 2.
The power supply consensus algorithm is as follows, and a new block can be generated at each time interval t by the power supply consensus algorithm, and finally a block chain is formed.
Step 1: all power supply nodes need to continuously broadcast power supply information data to the EBN whole network and attach ID of a sender;
step 2: all power supply nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each power supply node transmits its own information: sending < PerpareRequest, ID, m, g, r, s > to the EBN, wherein m is power generation capacity, g represents whether renewable energy sources exist or not, r represents power selling price, and s is power generation stability;
and 4, step 4: after recording the received power supply node information, each power supply node automatically calculates the weight of the power supply node and the received weight of each power supply node according to the set weight, selects the node with the maximum weight, and sends the information of the power supply node with the maximum weight to the EBN: < PerpareResponse, ID, m, g, r, s, w >, wherein w is the weight of the node, i.e. the weight accumulation of each feature item;
and 5: after receiving the power supply node information of more than n same maximum weights, any power supply node is identified together;
that is, in the process of forming a new block, if more than n nodes in the network all agree that a node has the largest weight, the node is considered to have an entitlement record and packs all node information in the time period, and the information forms a new block after passing through an encryption operation and is connected to a block chain, and the consensus is achieved.
Step 6: after the new block is completed, each node deletes the previous information and starts the next round of consensus.
As an example, the parameters of the characteristic items in the above step 4 may be set as the following table 1:
TABLE 1 Power supply consensus weights
| Characteristic item | Weight of | Reference value |
| Generating capacity (m) | wm | 0.8 |
| Green energy (g) | wg | 0.6 |
| Selling electricity price (c) | wc | 0.4 |
| Degree of stability of Power Generation(s) | ws | 0.5 |
In practical applications, the feature terms and weights of the consensus algorithm can be adjusted according to the situation. For example, the weight of green energy sources can be increased, so that more power suppliers tend to shift to green energy sources; or to increase the weight of the amount of losses so that the user uses as few units as possible, which are inexpensive but consume a lot, when selecting the energy supply unit.
The trading of electricity is a very important part of the virtual plant operation process. After the PU obtains GU information from the PSIB and forms transactions, each transaction information is sent to the EBN, all transaction information is collected into a block at intervals and connected to the ETB to form a power transaction block chain.
As shown in fig. 3, the power transaction block chain of the present invention is:
CETB＝(C；ETCA)
where C is the original block chain, etc a power transaction consensus algorithm (see algorithm 2), and ETB has the data structure shown in fig. 5.
The power transaction consensus algorithm is as follows, and a new block containing transaction information can be generated at each time interval t through the power transaction consensus algorithm, and finally a power transaction block chain is formed.
Step 1: the nodes participating in the transaction continuously broadcast transaction information data with the sender ID to the EBN whole network;
step 2: all nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each node sends its own information: sending the request to the EBN, wherein PID is ID of the power utilization unit PU, DID is ID of the power generation unit GU, p is power consumption, s is load stability, l is consumption, and c is transaction price;
and 4, step 4: after recording the received information of the power supply nodes, each node calculates the weight of the node and the received weight of each node according to the set weight, selects the node with the maximum weight, and sends the information of the node to the EBN: < PerpareResponse, PID, DID, m, s, l, c, w >; w is the weight of the node, namely the weight accumulation of each characteristic item;
and 5: after any node receives the power supply node information which exceeds n same maximum weights, the node with the maximum weight is used for recording and adding a new block formed this time; n is a positive integer.
That is, in the process of forming a new block, if more than n nodes in the network all agree that a node has the largest weight, the node is considered to have an entitlement record and packs all node information in the time period, and the information forms a new block after passing through an encryption operation and is connected to a block chain, and the consensus is achieved.
Step 6: after the new block is completed, each node deletes the previous information and starts the next round of consensus.
In step 4, the weights of the feature items can be selected as shown in table 2 below.
TABLE 2 electric power trade consensus weights
Table 2Weight coefficient of ETCA
The present invention also requires that transactions be completed via Intelligent Contracts (ICs).
The intelligent contract IC for EBN implies the following quantitative relationship:
I＝Min[(M*P)*PS*(1-G)]
wherein I is an optimal value obtained by comprehensively weighing factors of all aspects in order to enable the model to reach an environment-friendly power generation plan; m is the amount of electricity generated by a certain energy type (such as wind power and hydropower); p is the price of the energy type for generating electricity; PS is the stability of the power generation of the energy type; g is the corresponding environmental index. In this intelligent contract, the stability PS on the power generation side must not be less than the power stability requirement LS, otherwise the power generation type should be excluded. The contracts may be adjusted according to specific environmental and social needs.
The invention also provides an EBN (EBN-virtual power plant) model for applying the EBN model to the existing virtual power plant for scheduling operation, and the EBN is added into a system of the virtual power plant, so that the EBN becomes an information interaction and data storage center of the whole virtual power plant, and the advantages of a block chain in data storage, information safety and data interoperability are effectively introduced into the virtual power plant.
As shown in FIG. 4, the virtual plant operation and scheduling model includes not only the existing VPPs, TSOs and plants, but also the EBN network. As shown in FIG. 5, the EBN-VPP operation process is shown.
When the EBN network is applied to the existing virtual power plant, a power supply index block chain PSIB and a power transaction block chain ETB are required to be constructed according to a block chain principle; and a power supply consensus algorithm PSCA and a power transaction consensus algorithm ETB are provided based on the POS right and interest proving method. The PSCA and the ETB are combined to form an energy block chain network EBN, and the EBN is integrated into the operation and scheduling process of the virtual power plant to form an EBN-VPP model. And the EBN-VPP collects and forms a power generation plan according to the specific operating environment of the virtual power plant, and achieves different transaction results according to an intelligent contract.
The specific process is as follows:
(1) each power consumption unit PU participating in the VPP system submits respective power consumption demand information to a trading market; or the PU previous power utilization information is automatically uploaded through the intelligent electric meter, the power utilization information is calculated through auxiliary service of the trading market to form scientific power utilization requirements, and then the scientific power utilization requirements are submitted to the trading market.
(2) And after all the electricity consumption transaction information is collected by each transaction market, the electricity consumption transaction information is transmitted to the EBN network. After the EBN network integrates various information (power utilization request, weather condition, power utilization unit property, market fluctuation, and the like), the information in a certain time period is packaged into a block, and finally a power supply index block chain PSIB is formed, so that a next power generation plan is formed. To improve the scientificity and accuracy in developing power generation plans, there is a need to continually increase and enrich the information contained in the blocks in the PSIB chain, and continually optimize and improve the correlation algorithms.
(3) After the power generation plan is generated, the GUs in the VPP start bidding, and an intelligent contract is formulated by comprehensively considering specific power utilization scenes and the properties and parameters of each power generation unit in the bidding process. Different transaction results can be achieved according to different situations through the intelligent contracts.
(4) After the power generation plan is successfully matched, each GU completes the power generation task of the GU, power distribution is carried out through the TSO, and finally the electric energy information is transmitted to the corresponding PU. Meanwhile, the TSO and the EBN continuously carry out information verification and confirmation so as to ensure that each electricity consumption transaction is accurately completed. In this process, a power transaction block chain ETB is formed.
In the above (2), the eight parameters of EBN may have different specific explanations due to different specific application environments. When the EBN is merged into the virtual power plant, the power supply index block chain PSIB is formed by the power consumption information in the power trading market. This is because the EBN-VPP model is proposed to solve some problems in the existing virtual power plant, such as: since electricity is a special commodity, it is not storable and must be ready for use. In order to achieve higher utilization rate and overall benefit, the PSIB needs to be formed according to the information of the power utilization side, and then a power generation plan is formed. And each power generation unit completes the transaction according to the formed power generation plan and the intelligent contract, and finally forms the ETB.
Therefore, when the power supply index block chain is formed, the node forming the power supply consensus algorithm is the power utilization node which makes a power utilization request, after consensus is achieved according to the information of the power utilization node, a new block is issued, and the block stored in the block body in the new block shown in fig. 2 is recorded as the power utilization information of the power utilization unit in the set time interval acquired by the EBN. The power supply unit retrieves the latest block in the power supply index block chain, acquires the latest power utilization information, then makes an intelligent contract, carries out bidding, and generates power and transmits electric energy after trading according to the intelligent contract.
As can be seen from the operation process of the EBN-VPP, the invention better solves the three common problems mentioned in the background art. The main body is as follows:
(1) the information of the demand side can be reflected in real time: the biggest difference between electric power and other products (including physical products and virtual products) is that electric power is energy, and the electric power exists in exchange among various kinds of energy, namely, electric energy generated and consumed must be conserved and cannot be temporarily stored in a power grid. The EBN-VPP can obtain the electricity demand in real time through an ETB block in the EBN, formulate a GU power generation plan according to the demand, and timely adjust each GU unit, particularly use the electricity production index of the non-renewable energy GU, so as to avoid invalid capacity.
(2) The environment-friendly power generation plan adjustment can be carried out according to mass data: the energy source block chain network in the EBN-VPP can accumulate a large amount of reliable data in the operation process, and can be used for predicting the energy demand, thereby being convenient for DER and traditional power plants to carry out power generation adjustment. Although DER and a traditional power plant belong to GU, due to different energy types, the DER is more prone to be used as a clean renewable energy source from the aspect of environmental protection, and the EBN-VPP can be preferred to form a clean renewable energy source through a PSIB block and a PSCA power supply consensus algorithm in the EBN, so that the use of non-renewable energy sources is reduced.
(3) The information transparency and stable scheduling of the virtual power plant are facilitated: due to the instantaneous exchange characteristics of electricity and the power generation characteristics and cost of electricity generation of different GUs in the VPP, the electricity selling price of the VPP inevitably fluctuates at any time. Besides various power grid system problems such as system stability analysis, frequency control, load prediction, demand response and the like which need to be solved in the power technology, the transparency, fairness and non-tamper-resistance of information also bring the support of operational game for the stable scheduling of VPP. Because accurate and transparent electric power transaction information certainly influences the time-sharing power consumption requirement of the PU, under the requirement of lowest expected comprehensive cost, the integration of the EBN helps the VPP to improve the peak clipping and valley filling process of the energy requirement, and is more beneficial to the VPP to carry out energy scheduling.
(4) Data security and storage security are ensured: the data in the EBN-VPP can be protected by a block data encryption method in the EBN and is commonly authenticated by all nodes in the whole network; meanwhile, due to a decentralized mechanism, all information in a chain is partially or completely backed up by nodes in the EBN, and the hidden trouble of failure of centralized data service is avoided.
(5) In the EBN-VPP framework, the EBN network does not determine and influence the specific electric energy transaction process, but plays the role of a transfer station and a service provider for information collection and integration, and breaks through the information barriers between all the GU and PU, so that both parties can complete decentralized direct electric energy transaction, thereby reducing the credit cost in the transaction.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the overall concept of the present invention, and these should also be considered as the protection scope of the present invention.
Claims (2)
1. An energy blockchain network, comprising: establishing an eight-tuple energy block chain network EBN, wherein the EBN is an eight-tuple:
EBN＝(G,P,CPSIB,CETB,IC,T,α,β)
wherein the content of the first and second substances,
1)G＝{gi|i∈N+is a finite set of power generating cells, giIs the ith power generation unit;
2)P＝{pj|j∈N+is a finite set of electricity consuming units, pjThe j power utilization unit;
3)CPSIBindexing a block chain for power supply;
4)CETBis a power transaction block chain;
5) IC is an intelligent contract;
6)T＝{tk|tk∈G×P,k∈N+is the electric power transaction set, G × P is Cartesian set of G and P, tkInformation representing the kth power transaction;
7)α:G→CPSIBis G to CPSIBMapping of (2);
8)β:T→CETBis T to CETBMapping of (2);
all the power generation units and all the power supply units form a node set of the EBN, and each power supply node and each power generation node submit self information when the EBN is added;
according to the energy block network EBN, all the generating units G form a power supply index block chain C according to the mapping alphaPSIB(ii) a The trading processes of all the power generation units G and the power utilization units P form a power trading set T, and a power trading block chain C is formed according to the mapping betaETBIn the process of T formation, all the power utilization units P and the power generation units G complete transactions according to a specific intelligent contract IC;
the power supply index block chain is as follows:
CPSIB＝(C；PSCA)
wherein C is an original block chain, and PSCA is a power supply consensus algorithm;
construction of C by Power supply consensus AlgorithmPSIBThe method comprises the following steps:
step 1: all power supply nodes continuously broadcast power supply information data with sender ID to the EBN whole network;
step 2: all power supply nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each power supply node transmits its own information: sending < PerpareRequest, ID, m, g, r, s > to the EBN, wherein m is power generation capacity, g represents whether renewable energy sources exist or not, r represents power selling price, and s is power generation stability;
and 4, step 4: after recording the received power supply node information, each power supply node automatically calculates the weight of the power supply node and the received weight of each power supply node according to the set weight, selects the node with the maximum weight, and sends the information of the power supply node with the maximum weight to the EBN: < PerpareResponse, ID, m, g, r, s, w >, wherein w is the weight of the node, i.e. the weight accumulation of each feature item;
and 5: after receiving the power supply node information of more than n same maximum weights, any power supply node realizes consensus, and simultaneously, the node with the maximum weight records and adds a new block formed this time;
step 6: after the new block is completed, deleting the previous information by each node, and starting the next round of consensus;
the power transaction block chain is as follows:
CETB＝(C；ETCA)
wherein C is an original block chain, and ETCA is a power transaction consensus algorithm;
construction of C by Power trade consensus AlgorithmETBThe method comprises the following steps:
step 1: the nodes participating in the transaction continuously broadcast transaction information data with the sender ID to the EBN whole network;
step 2: all nodes independently monitor and record EBN full-network data;
and step 3: every time interval t, each node sends its own information: sending the request to the EBN, wherein PID is ID of the power utilization unit PU, DID is ID of the power generation unit GU, p is power consumption, s is load stability, l is consumption, and c is transaction price;
and 4, step 4: after recording the received information of the power supply nodes, each node calculates the weight of the node and the received weight of each node according to the set weight, selects the node with the maximum weight, and sends the information of the node to the EBN: < PerpareResponse, PID, DID, p, s, l, c, w >; w is the weight of the node, namely the weight accumulation of each characteristic item;
and 5: after any node receives the power supply node information which exceeds n same maximum weights, the node with the maximum weight is used for recording and adding a new block formed this time;
step 6: after the new block is completed, deleting the previous information by each node, and starting the next round of consensus;
the intelligent contract IC is:
I＝Min[(M*P)*PS*(1-G)]
wherein I is a preset numerical value, and M is the generated energy of a certain energy type; p is the price of the energy type for generating electricity; PS is the stability of the power generation of the energy type; g is the corresponding environmental index.
2. The network of claim 1, wherein: the self information submitted by the power supply node and the power generation node when the power supply node and the power generation node are added into the EBN at the same time at least comprises an identity ID, an account, a maximum power generation amount, an energy type and a geographical position.
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