CN115941206A - Carbon emission data uplink method based on block chain technology - Google Patents
Carbon emission data uplink method based on block chain technology Download PDFInfo
- Publication number
- CN115941206A CN115941206A CN202211581718.5A CN202211581718A CN115941206A CN 115941206 A CN115941206 A CN 115941206A CN 202211581718 A CN202211581718 A CN 202211581718A CN 115941206 A CN115941206 A CN 115941206A
- Authority
- CN
- China
- Prior art keywords
- node
- data
- carbon emission
- power
- carbon
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Abstract
The invention relates to a carbon emission data uplink method based on a block chain technology, which comprises the following steps: building a main node, namely: building a block chain, building a digital signature technology information exchange system based on an asymmetric encryption technology, and finishing the normalized arrangement of the uplink data through an intelligent contract; building a secondary node, completing the calculation of the carbon emission related data, and storing the carbon emission related data in a Merckel tree form, thereby completing the tracing of abnormal data; building a common node, wherein the common node comprises the steps of collecting original power consumption data of a power distribution network, uploading the data to a secondary node and sending a data viewing request to obtain related data of carbon emission; and finally, constructing a three-level node carbon emission data uplink system based on the block chain technology. The method is beneficial to improving the calculation and processing efficiency of the data under the condition of nonlinear enhancement of the power grid, shortens the network transmission distance from the bottom layer to the cloud end of the data, and realizes fine carbon emission and carbon neutralization management and control.
Description
Technical Field
The invention relates to the technical field of carbon emission data processing, in particular to a carbon emission data uplink method based on a block chain technology.
Background
Along with the development of electrification, the resources on the load side are scattered in an increasingly diversified manner, a network link which is transmitted to the cloud side is long, and a mode of 'uniform collection and uniform processing' causes separation of data production, data transmission and data processing links, so that a larger information barrier is formed, and the power grid side and the load side cannot be effectively interconnected. At present, the carbon emission data of the power grid is mastered on a macroscopic level, the acquisition, management and application of fine carbon emission data are not realized, and clear and effective guidance cannot be provided for reducing the carbon emission and implementing carbon neutralization.
The block chain technology is a brand new distributed infrastructure and computing paradigm that verifies and stores data using a block chain data structure, generates and updates data using a distributed node consensus algorithm, ensures data transmission and access security using cryptography, and programs and operates data using an intelligent contract composed of automated script codes. The method improves the sharing, safety and credibility of the data at the cost of additional data transmission and calculation. This will help to address the need for higher data interaction efficiency and larger data interaction size in the "unified collection, unified processing" mode.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a carbon emission data uplink method based on a block chain technology, which designs a system architecture of a three-level node, deeply mines the application potential of the block chain technology in the carbon emission calculation field, and considers the actual application of each technology based on the block chain in detail, thereby further refining the data management and transmission in the carbon emission field and ensuring the credibility of the carbon emission data.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for uplink of carbon emission data based on a block chain technology, the method comprising the steps of:
s1: building a main node, specifically comprising:
s11: building a block chain, and creating a block by a main node through a workload certification mechanism so as to carry out data uplink;
s12: establishing a digital signature technology information exchange system based on an asymmetric encryption technology, wherein the digital signature technology information exchange system comprises a digital signature process and a signature verification process;
s13: the normalized arrangement of the uplink data is finished through an intelligent contract;
s2: constructing a secondary node, specifically comprising:
s21: carrying out network loss allocation on the power system by a method combining forward flow and reverse flow power flow tracking, and further completing calculation of carbon emission related data;
s22: storing the carbon emission related data into a Mercker tree form, thereby completing the tracing of the abnormal data;
s3: building a common node, wherein the common node comprises the steps of collecting original power consumption data of a power distribution network, uploading the data to a secondary node and sending a data viewing request to obtain related data of carbon emission;
s4: and constructing a three-level node carbon emission data uplink system based on the block chain technology.
As a preferable aspect of the present invention, the step S11 specifically includes: the master node finds random numbers satisfying the following relationship through workload certification: SHA256 (SHA 256 (block header other data + random number)) ≦ target hash value
The other data of the block head refers to the hash value of the last block;
after finding the random number, the main node creates and uplinks a block and broadcasts a new block chain to the secondary node;
the secondary node receives the new blockchain and replaces its original blockchain with the new blockchain.
As a preferred embodiment of the present invention, in step S12, the digital signature process is as follows: a sender obtains a digital abstract from an electronic file original text by using a Hash algorithm, encrypts the digital abstract by using a sender private key to obtain a digital signature, and sends the electronic file original text and the digital signature to a receiver; a receiver receives an electronic file original text and a digital signature;
the signature verification process is as follows: the receiver decrypts the digital signature by using the public key of the sender to obtain a digital abstract, and the digital abstract is marked as an abstract A; meanwhile, the receiver calculates the received electronic file original text by adopting the same Hash algorithm as the sender to obtain a new digital abstract which is marked as an abstract B;
and the receiver compares the abstract A with the abstract B, and if the abstract A is the same as the abstract B, the transmission success of the electronic file subjected to the digital signature is proved, and the source of the electronic file can be verified, so that the data tracing target is achieved.
As a preferable embodiment of the present invention, the step S13 specifically includes: and embedding the intelligent contract as a function of the main node, triggering the function when creating the block chain, and finishing the sorting and chaining of the data.
As a preferred aspect of the present invention, the master node creates a block through a workload certification mechanism, where the data stored in the block is carbon emission related data obtained by calculating the primary power consumption data of the power distribution network, which is collected and uploaded by the common node, of the secondary node, and the carbon emission related data includes node load carbon flow rate, branch carbon flow rate, and unit injection carbon flow rate.
As a preferable embodiment of the present invention, the step S21 specifically includes: distributing the network loss to the power supply and the load side by a method combining forward flow and reverse flow power flow tracking, thereby forming a virtual lossless network; the method comprises the steps of performing direct current load flow decomposition calculation on a virtual lossless network to obtain the load of a node and the active power of a branch, and calculating to obtain carbon emission related data by combining the carbon emission intensity of a generator and a main network feeder line;
the direct current power flow equation is P '= B theta';
in the formula, theta' is belonged to R n×1 Is a vector formed by voltage phase angles of nodes in a virtual network, and B belongs to R n×n Formed with branch reactances, P' being for R n×1 Injecting a vector formed by power for each node; n is the number of load nodes;
wherein injected power P 'of generator node f' f Is P' f ＝P' Gf -P' Lf ，P' Gf And P' Lf The power supply active net output power and the active net load of the generator node f are respectively;
calculating load P 'of node i by combining countercurrent tracking algorithm' Li And branch i-t's output power P' it ：
Wherein n is the number of load nodes, P i 'is the active power flowing through node i, matrix A' u Represents an upstream active power flow distribution matrix, [ A' u -1 ]Denotes the inverse of the upstream active power flow distribution matrix, the subscript if denotes the element of the ith row and the f th column, matrix [ A' u ] if Is represented as:
in the formula, P' is belonged to R n×1 Injecting a vector formed by power for each node; p' fi The active power flowing to the node i for the generator node f; ui is an upstream node set of the node i;
the carbon emission of the power system is derived from gas emitted by the generating set, and is represented by carbon emission intensity, and the carbon emission intensity of different types of generating sets is different; for hydroelectric generating setThe carbon emission intensity of the new energy unit is default to 0gCO 2 V (kW × h); for a thermal power generating unit, the carbon emission intensity is 875gCO 2 V (kW × h); for the main network feeder of the distribution network, the carbon emission intensity is 450gCO 2 V (kW × h); and calculating to obtain node load carbon flow rate, branch carbon flow rate and unit injection carbon flow rate by combining the carbon emission intensity of the generator and the main network feeder, wherein the specific calculation formula is as follows:
in the formula, R Li Load carbon flow rate, R, for node i it Carbon flow rate, R, for branch i-t Gf Net loss carbon flow rate, Δ S, assumed for generator node f Gf Represents the share of the network loss borne by the generator node f, and Re represents the complex number Delta S Gf The real part of (a); p' Li Is the load of node i, P' Gf Active net output power for the power supply of generator node f, E Gf Is the carbon emission intensity of the generator f.
As a preferable embodiment of the present invention, the step S22 specifically includes: storing the carbon emission related data on a block in a binary tree type Merckel tree form, wherein each piece of carbon emission related data has a hash value, combining the hash values corresponding to the two pieces of carbon emission related data and then continuing to perform hash operation to finally form a unique Merckel root of the block, and storing the Merckel root in the head part of the block; if data is tampered, the hash value corresponding to the tampered data is also changed, and the tampered data is found according to the Mercker tree from the Mercker root to the leaf node.
As a preferable embodiment of the present invention, the step S3 specifically includes: the common node collects original power consumption data of the power distribution network through the intelligent electric meter and the intelligent socket and uploads the data to the secondary node so as to calculate relevant data of carbon emission; the common node can send a data viewing request, and a user corresponding to the common node views own carbon emission related data through an embedded intelligent contract.
As a preferred aspect of the present invention, in the uplink carbon emission data system of the three-level nodes based on the block chain technology, the three-level nodes communicate with each other through an information exchange system based on an asymmetric encryption digital signature technology.
In the uplink system of carbon emission data of the three-level node provided by the invention, the key technologies included in the three-level node are crossed, and the specific technical details are also changed according to the actual situation of the power distribution network of the power system. The carbon emission related data calculated by the step S21 can be obtained by submitting data calls by the common node constructed in the step S3, and the establishment of the reliability is performed by the intelligent contract technology provided by the step S13, so that the user corresponding to the common node can trust the generation of the carbon emission related data of the user under the condition that the power consumption condition of the nodes in the other networks is not known, and the security of the privacy information of the user is protected.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a data security system architecture combining a block chain technology and the carbon number data calculation of a power distribution network of a power system, the carbon emission data calculation is carried out in a distribution network area, the calculation and processing efficiency of the data under the condition of nonlinear enhancement of the power distribution network is improved, the network transmission distance from a bottom layer to a cloud end of the data is shortened, and meanwhile, the distribution network area is used as a basic control node to realize fine carbon emission and carbon neutralization management and control. This will help to address the need for higher data interaction efficiency and larger data interaction size in the "unified collection, unified processing" model.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Wherein:
FIG. 1 is a flow chart of a method in a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a digital signature technique message communication architecture in a preferred embodiment of the present invention;
FIG. 3 is a flow diagram of a workload attestation mechanism;
FIG. 4 is a schematic diagram of an intelligent contract;
fig. 5 is an active power flow distribution diagram of 13 nodes of a power distribution network;
fig. 6 is a flow chart of carbon emission calculation.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the description of the embodiments of the invention given above, are within the scope of protection of the invention.
Example 1: as shown in fig. 1, the embodiment provides a carbon emission data uplink method based on a block chain technology, and a data uplink system of a three-level node architecture is constructed by mixing different technologies, and each level of node has its corresponding function and role. The main node has the functions of uploading carbon emission related data, receiving data uploaded by the secondary node, creating a block, issuing an asymmetric encrypted public key and registering the secondary node; the secondary node has the functions of uploading data, copying a block chain created by the main node to complete data backup, calculating carbon emission related data, receiving a data viewing request of the common node, sending required data to the common node, performing a consensus mechanism to complete the identification and analysis of abnormal data, issuing an asymmetrically encrypted public key, and performing communication under asymmetric encryption with the secondary node by using the public key of the main node; the functions of the common node comprise uploading data, sending a data calling request, receiving data sent by the secondary node, carrying out conversation under asymmetric encryption with the secondary node by utilizing a public key of the secondary node, and obtaining electricity consumption data of a user electricity meter to help the secondary node to carry out calculation.
The method specifically comprises the following steps:
s1: building a main node, specifically comprising:
s11: building a block chain, and creating a block by a main node through a workload certification mechanism so as to carry out data uplink;
as shown in fig. 3, in the block chain based three-level node data uplink architecture, a workload Proof (Proof of Work) mechanism is used to perform the block creation Work, and the workload Proof mechanism is to make the hash value of the calculation formula combined with the hash value of the previous block less than or equal to the target hash value by continuously increasing the value of the random number, so that the node completing this calculation can create a block, that is:
SHA256 (SHA 256 (other data in the header of the block + random number)) ≦ target hash value
The specific flow of step S11 is as follows:
the common node generates new data by uploading a user power utilization curve and transmits the new data to the main node; the host node receives the data, verifies the data source and then brings the data into the block generated by the host node.
The master node finds the random number satisfying the following relation through workload proof:
SHA256 (SHA 256 (other data in the header of the block + random number)) ≦ target hash value
The other data of the block head refers to the hash value of the last block;
after finding the random number, the main node creates and uplinks a block and broadcasts a new block chain to the secondary node;
the secondary node of the master node subordinate network receives the new block chain and replaces the original block chain with the new block chain.
S12: establishing a digital signature technology information exchange system based on an asymmetric encryption technology to ensure the credibility of data sources and the availability of data; the digital signature technology information exchange system comprises a digital signature process and a signature verification process;
the digital signature process is as follows: a sender obtains a digital abstract from an electronic file original text by using a Hash algorithm, encrypts the digital abstract by using a sender private key to obtain a digital signature, and sends the electronic file original text and the digital signature to a receiver; a receiver receives an electronic file original text and a digital signature;
the signature verification process is as follows: the receiver decrypts the digital signature by using the public key of the sender to obtain a digital abstract, and the digital abstract is marked as an abstract A; meanwhile, the receiver calculates the received electronic file original text by adopting the same Hash algorithm as the sender to obtain a new digital abstract which is marked as an abstract B;
and the receiver compares the abstract A with the abstract B, and if the abstract A is the same as the abstract B, the transmission success of the electronic file subjected to the digital signature is proved, and the source of the electronic file can be verified, so that the data tracing target is achieved.
S13: finishing the standardized arrangement of the uplink data through an intelligent contract;
smart contracts are transactional computer programs that can automatically execute terms of an agreement without intervention. In the case of blockchain technology, the essence of the intelligent contract is a digital protocol that is stored and executed on the blockchain once a predetermined criterion is met. Once a particular input is made, it automatically performs a predetermined particular output.
As shown in FIG. 4, the smart contract implements store rules, validate rules, and automatically execute rules by following a simple "if, while & then" statement. These statements are written in programmable code. Once a specific input condition is satisfied, a predetermined output is performed. The computer network will then record data on the blockchain, and the data information recorded on the blockchain will be encrypted and not changeable.
The full life cycle of the intelligent contract comprises: contract generation, contract issuance, contract execution, and contract implementation. An intelligent contract can be constructed through the following four steps, and the power-assisted data is safe and credible to link.
And (3) contract generation: the contract specification and the contract verification are of vital importance, the contract specification is agreed by a domain expert, the contract verification needs to be carried out on a virtual machine, and the contract specification and the contract verification must guarantee the consistency of a contract text and a code;
and (3) contract issuing: similar to the generation of new tiles in a blockchain network, multiple nodes are required for consensus and verification;
contract execution: based on 'condition triggering', the intelligent contract program can periodically traverse the state machine and the triggering condition of each contract and push the contracts meeting the triggering conditions to a verification queue;
and contract implementation: by assigning digital properties to objects, the objects are programmed and deployed on a blockchain while changing the state (e.g., assignment transitions) and values of the digital objects.
In the invention, the intelligent contract is embedded into a function of the main node, and the function is triggered when a block chain needs to be created, so that the data sorting and chaining are completed.
S2: constructing a secondary node, specifically comprising:
s21: carrying out network loss sharing of the power system by a method combining forward flow and reverse flow power flow tracking, and further completing calculation of carbon emission related data;
distributing the network loss to the power supply and the load side by a method combining forward flow and reverse flow power flow tracking, thereby forming a virtual lossless network; the load of the node and the active power of the branch are obtained by performing direct current load flow decomposition calculation on the virtual lossless network, and carbon emission related data are obtained by calculation in combination with the carbon emission intensity of the generator and the main network feeder line.
The direct current power flow equation is P '= B theta';
in the formula, theta' is belonged to R n×1 Is a vector formed by voltage phase angles of nodes in a virtual network, and B belongs to R n×n A node admittance matrix formed with branch reactances, P' being E.R n×1 Injecting a vector formed by power for each node; n is the number of load nodes;
wherein injected power P 'of generator node f' f Is P' f ＝P' Gf -P' Lf ，P' Gf And P' Lf The power supply active net output power and the active net load of the generator node f are respectively;
calculating load P 'of node i by combining countercurrent tracking algorithm' Li And branch i-t's output power P' it ：
Wherein n is the number of load nodes, P i 'is the active power flowing through node i, matrix A' u Represents an upstream active power flow distribution matrix, [ A' u -1 ]Denotes the inverse of the upstream active power flow distribution matrix, the subscript if denotes the element of the ith row and the f th column, matrix [ A' u ] if Is represented as:
in the formula, P' is belonged to R n×1 Injecting a vector formed by power for each node; p' fi The active power flowing to the node i for the generator node f; ui is an upstream node set of the node i;
the carbon emission of the power system is derived from gas emitted by the generating set, and is represented by carbon emission intensity, and the carbon emission intensity of different types of sets is different; for hydroelectric generating set and new energy generating set, the carbon emission intensity is defaulted to 0gCO 2 V (kW × h); for a thermal power generating unit, the carbon emission intensity is 875gCO 2 V (kW x h); for the main network feeder of the distribution network, the carbon emission intensity is 450gCO 2 V (kW × h); and calculating to obtain node load carbon flow rate, branch carbon flow rate and unit injection carbon flow rate by combining the carbon emission intensity of the generator and the main network feeder, wherein the specific calculation formula is as follows:
R Gf ＝Re[ΔS Gf ]E Gf
in the formula, R Li Load carbon flow rate, R, for node i it Carbon flow rate, R, for branch i-t Gf Net loss carbon flow rate, Δ S, assumed for generator node f Gf Represents the share of the network loss borne by the generator node f, and Re represents the complex number Delta S Gf The real part of (a); p' Li Is the load of node i, P' Gf Active net output power of power supply for generator node f, E Gf The carbon emission intensity of the generator f.
S22: storing the carbon emission related data into a Mercker tree form, thereby completing the tracing of the abnormal data;
the merkel tree, also called hash tree, is an algorithm for storing data in the block chain technology. In the merkel tree, each node is labeled with the cryptographic hash value of a block of data. The Mercker tree is a tree-type data structure, can be a binary tree or a multi-branch tree, and has all the characteristics of a tree-type structure; the values on the leaf nodes of the merkel tree are data to be stored, and the values of the non-leaf nodes are hash values obtained by combining all child nodes of the nodes and then performing hash calculation on the combined result.
The carbon emission related data is stored on the block in the form of a binary tree type mercker tree. Each piece of data has a hash value, hash operation is continued after the hash values corresponding to the two pieces of data are combined, and finally the unique Mercker root of the block is formed. The merkel root will be deposited into the block header portion. The characteristics of the merkel tree are used to ensure that every datum is not falsifiable. If data is tampered, the corresponding hash value is changed, and the tampered data can be found by tracing the source of the Merckel root to the leaf node according to the Merckel tree.
S3: building a common node, wherein the common node comprises the steps of collecting original power consumption data of a power distribution network, uploading the data to a secondary node and sending a data viewing request to obtain related data of carbon emission;
the common node collects original power consumption data of the power distribution network through the intelligent electric meter and the intelligent socket and uploads the data to the secondary node so as to calculate relevant data of carbon emission; the common node can send a data viewing request, and a user corresponding to the common node views own carbon emission related data through an embedded intelligent contract.
The blockchain system generally consists of a data layer, a network layer, a consensus layer, a stimulus layer, a contract layer, and an application layer. The data layer encapsulates a bottom layer data block, relevant basic data such as data encryption and a time stamp and a basic algorithm; the network layer comprises a distributed networking mechanism, a data transmission mechanism, a data verification mechanism and the like; the consensus layer mainly encapsulates various consensus algorithms of the network nodes; the incentive layer integrates economic factors into a block chain technology system and mainly comprises an economic incentive issuing mechanism, an economic incentive distributing mechanism and the like; the contract layer mainly encapsulates various scripts, algorithms and intelligent contracts and is the basis of the programmable characteristic of the block chain; the application layer encapsulates various application scenarios and cases of the blockchain. The most representative innovation points of the block chain technology are a chain block structure based on time stamps, a consensus mechanism of distributed nodes, economic excitation based on consensus computing power and a flexible programmable intelligent contract.
The block chain based data uplink technology and the abnormal data tracing method provide data uplink and data safety capabilities for various electric power intelligent terminal devices, and source end authentication, standard application and full life cycle tracing of data are achieved. Firstly, the relevant data of carbon emission can be transmitted to a block chain, and linkage between uplink data and downlink data of the chain is realized; and secondly, tracing the reason of the abnormal data.
Structured data and unstructured data in a power grid are researched, a large amount of data sets are processed, and the unstructured data are changed into structured data such as table data after structured processing and database processing. And then, integrally packaging the processed structured data such as table data and the like, performing content hash and storing the content hash in the blocks, and indexing the metadata in the blocks according to the hash.
Design is based on the calculation of a trusted share of the block chain of digital fingerprints (MD 5 or hash) of the file and optional information (e.g., author, bearer signature, access address). Designing a scheme for ensuring, anchoring and addressing data on the chain, and completely exporting the data from the chain, wherein all blocks starting from a creature block, the carbon emission intensity of a generator, node load, branches, the carbon flow rate of a main network feeder and the like are written into a database or a large data platform outside the chain, and a mirror image of the data on the chain is constructed.
A block chain operation system with blocks on a chain and blocks under the chain timely enter a warehouse is designed, and after the block chain operation system is locally analyzed and processed, the scheme of interaction and cooperation with the scheme on the chain is adopted, so that the transmission under the chain and the verification on the chain are mutually realized, and the aspects of cost, efficiency, privacy safety and the like are balanced.
S4: and constructing a three-level node carbon emission data uplink system based on a block chain technology, and realizing traceability and integrity guarantee of the full life cycle of carbon data.
The main node creates a block chain by using a workload certification mechanism, and data stored in the block is carbon emission related data obtained by calculating the original power consumption data of the power distribution network, which is collected and uploaded by the common nodes, of the secondary node, wherein the carbon emission related data comprises node load carbon flow rate, branch carbon flow rate, unit injection carbon flow rate, unit carbon emission intensity and the like.
The secondary node completes the distributed storage of the data by copying the block chain created by the main node, thereby ensuring the safety and the credibility of the data. Meanwhile, by comparing the difference of the data stored in the primary node and the secondary node, the initial tracing of the abnormal data can be carried out. The storage mode of the data in the block is a binary tree-shaped Merckel tree, which ensures the credibility of the data source and the traceability of the abnormal data.
Besides the collection and uploading of the original power consumption data of the power distribution network, the common nodes can also enable users to check the carbon emission data of the users and the carbon data calculation method through intelligent contracts by sending data check requests, and the credibility of the carbon data and the data privacy safety of the users are guaranteed. Mutual communication among the three-level nodes is guaranteed through a digital signature technology based on asymmetric encryption, and safety and reliability of communication among the nodes are guaranteed.
The key technologies included in the three-level nodes are crossed, and the specific technical details are also changed according to the actual situation of the power distribution network of the power system. The carbon number data calculated in the step S21 can be obtained by submitting data calls by the common node constructed in the step S3, and reliability is established by the intelligent contract technology provided in the step S13, so that a user corresponding to the common node can trust generation of the carbon number data of the user under the condition that the power consumption condition of the nodes in the other networks is unknown, and the security of the private information of the user is protected.
Example 2: as shown in fig. 2, this embodiment provides a process of building a digital signature technology information exchange hierarchy. The data uplink and digital signature authentication process under asymmetric encryption is established in the block link uplink system, so that the credibility of the data source and the availability of the data are ensured. The digital signature technology has the characteristics that a receiver can verify the signature of a sender on a message, the receiver cannot forge the signature of the message or change the content of the message, and the sender cannot repudiate the signature of the message afterwards. The digital signature technology information exchange system comprises a digital signature process and a signature verification process.
The digital signature process is as follows: a sender obtains a digital abstract from an electronic file original text by using a Hash algorithm, encrypts the digital abstract by using a sender private key to obtain a digital signature, and sends the electronic file original text and the digital signature to a receiver; a receiver receives an electronic file original text and a digital signature;
the signature verification process is as follows: the receiver decrypts the digital signature by using the public key of the sender to obtain a digital abstract, and the digital abstract is marked as an abstract A; meanwhile, the receiver calculates the received electronic file original text by adopting the same Hash algorithm as the sender to obtain a new digital abstract which is marked as an abstract B;
and the receiver compares the abstract A with the abstract B, and if the abstract A is the same as the abstract B, the transmission success of the electronic file subjected to the digital signature is proved, and the source of the electronic file can be verified, so that the data tracing target is achieved.
Example 3: as shown in fig. 6, in the power distribution network system, the network loss is distributed to the power supply and the load side by a method of combining the forward flow and the reverse flow power flow tracking, so as to form a virtual lossless network, the load of the node and the active power of the branch are obtained by performing the direct current power flow decomposition calculation on the virtual lossless network, and the carbon emission related data, such as the carbon flow rate of the node load and the carbon flow rate of the branch, are calculated by combining the carbon emission intensity of the generator and the main network feeder.
The following flow tracing algorithm is specifically as follows:
the known power distribution network system has n load nodes in total, m branches are provided, the power flows at two ends of each branch i-j are known, the active power flow direction is regulated to be a positive direction, a virtual node k is additionally arranged in each branch, the negative value of the loss of each branch is equivalent to the output power of a virtual power supply, and the power supply output power S of a node i Gi And the incoming power S of the branch f-i fi For each node load S Lk The contribution of (d) is expressed as:
in the formula, S i Is the flowing power of node i, S j Is the flowing power of node j, A d Is a (n + m) x (n + m) order downstream node power flow distribution matrix, [ A d ] ij Representing the power flow distribution proportion of a branch between a node i and a node j, namely the proportion of the power injected into the branch i-j to the power flowing through the node i; d i Set of downstream nodes, S, being node i ij For the power flowing from node i to node j,
an inverse matrix representing the proportion of the flow distribution of nodes downstream of the node, -a->
The subscript ik of>
The element of the ith row and the kth column of the matrix; the power S is converted into the output power of the virtual power supply due to the fact that the negative value of the branch loss is equivalent to the output power of the virtual power supply Gi (i∈[n+1，n+m]) Adding the sum to obtain the opposite number of the total network loss to obtain the network loss power Delta S borne by the load side k Lk Comprises the following steps:
the counter-current power flow tracking algorithm is as follows:
the known power distribution network system has n load nodes, m branches, the load flow at two ends of each branch i-j is known, the active flow direction is specified to be the positive direction, a virtual node k is additionally arranged in each branch, the negative value of the loss of each branch is equivalent to the output power of a virtual power supply, and the load S of the node i is equal to the load S of the node i Li Branch i-t outflow power S it Expressed as the sum of the power components of the generators, i.e.:
in the formula, S i Is the flowing power of node i; a. The u A power flow distribution moment of an upstream node of (n + m) × (n + m) orderArraying; [ A ] u ] ij Representing an upstream node power flow distribution matrix of a branch between a node i and a node j; u shape i Is a set of nodes upstream of the node i,
representing the inverse of the upstream node flow distribution matrix, device for selecting or keeping>
The subscript ik of>
The element of the ith row and the kth column of the matrix; the power is converted into the power by the aid of the fact that negative values of branch loss are equivalent to virtual power output SL i(i∈[n+1，n+m]) Adding the sum to obtain the opposite number of the total network loss to obtain the network loss delta S born by the power side k Gk Comprises the following steps:
a flexible and adjustable bidirectional network loss sharing method is adopted, and the main idea is to introduce an adjustable parameter beta in an interval of 0-1, share the beta part of network loss to a load using the network, and distribute the rest (1-beta) part to a power supply supplying power through the network.
Network loss share Delta S borne by load side Lk The network loss share Delta S borne by the power supply side Gk Respectively expressed as:
by Delta S Lk And Δ S Gk Clear payload S' Lk And net output Power S' Gk Comprises the following steps:
S′ Lk ＝S Lk +ΔS Lk
S′ Gk ＝S Gk -ΔS Gk
after the total network loss is distributed to loads or power supplies, the original network is converted into a virtual lossless network, and the power generation and utilization of the lossless network are kept balanced. In the lossless network, the net value of the active power flow (namely, the virtual branch power) of each branch is unknown except that the node net load and the net output power of the power supply are known. Considering that the branch loss of the virtual network is 0, the active power distribution of each branch can be determined again through the following direct current power flow equation.
The direct current power flow equation is as follows: p '= B theta'
In the formula, theta' is belonged to R n×1 Is a vector formed by voltage phase angles of nodes in a virtual network, and B belongs to R n×n Formed with branch reactances, P' being for R n×1 Injecting a vector formed by power for each node; n is the number of load nodes;
wherein injected power P 'of generator node f' f Is P' f ＝P' Gf -P' Lf ，P' Gf And P' Lf The power supply active net output power and the active net load of the generator node f are respectively;
calculating load P 'of node i by combining countercurrent tracking algorithm' Li And the outgoing power P 'of branch i-t' it ：
Wherein n is the number of load nodes, P i 'is the active power flowing through node i, matrix A' u Represents an upstream active power flow distribution matrix, [ A' u -1 ]Denotes the inverse of the upstream active power flow distribution matrix, the subscript if denotes the element of the ith row and the f th column, matrix [ A' u ] if Is represented as:
in the formula, P' is belonged to R n×1 Injecting a vector formed by power for each node; p' fi The active power flowing to the node i for the generator node f; ui is the upstream node set of node i.
Carbon emission of the power system is derived from gas emitted by power generation of a thermal power generating unit and can be generally expressed by a carbon emission intensity index. The carbon emission intensity of different types of units is different. For hydroelectric generating set and new energy generating set (including fan and photovoltaic), the carbon emission of the unit electric energy is approximately 0gCO 2 /(kW by h). For thermal power generating units, the carbon emission intensity is generally 875gCO 2 (kW h), namely the unit generates one degree of electricity and 875 grams of carbon dioxide needs to be discharged; for main network feeders of distribution networks in China, the carbon emission intensity of the main network feeders is generally considered to be 450gCO 2 V (kW h), i.e. one degree of electricity output by the mains feeder requires 450 grams of carbon dioxide to be discharged.
And calculating to obtain node load carbon flow rate, branch carbon flow rate and unit injection carbon flow rate by combining the carbon emission intensity of the generator and the main network feeder, wherein the specific calculation formula is as follows:
R Gf ＝Re[ΔS Gf ]E Gf
in the formula, R Li Load carbon flow rate, R, for node i it Carbon flow rate, R, for branch i-t Gf Net loss carbon flow rate, Δ S, assumed for generator node f Gf Represents the share of the network loss borne by the generator node f, and Re represents the complex number Delta S Gf The real part of (a); p' Li Is the load of node i, P' Gf Power net for node f of generatorOutput power, E Gf The carbon emission intensity of the generator f.
The active power flow distribution diagram of the nodes of the power distribution network 13 is obtained by the method, as shown in fig. 5, and then the carbon emission flow is calculated.
The branch power flow distribution matrix is an N-order square matrix and uses P B ＝(P Bij ) N×N And (4) showing. The purpose of defining this matrix is to give the boundary conditions of the carbon emission flow distribution from the power network level in order to describe the active power flow distribution of the power system. The matrix not only contains topological structure information of the power network, but also contains distribution information of steady-state active power flow of the system. The elements in the branch flow distribution matrix are specifically defined as follows:
if a branch is connected between node i and node j (i, j =1, 2.., N), and the forward active power flow flowing from node i to node j through the branch is P, then P is Bij ＝p，P Bji =0; if the reverse active power flow through the branch is P, then P Bij ＝0，P Bji = p; in other cases, P Bij ＝P Bji And =0. For all diagonal elements, there is P Bii ＝0(i＝1，2，...，N)。
The unit injection distribution matrix is K multiplied by N order matrix, using P G ＝(P Gki ) K×N And (4) showing. The purpose of defining the matrix is to describe the connection relationship of all the generator sets and the power system and the active power injected into the system by the generator sets, and is also a boundary condition convenient for describing the carbon emission flow generated by the generator sets in the system. The elements in the matrix are specifically defined as follows:
if the kth (k =1, 2.. Times.n) generator is connected to the node j, and the active power flow injected from the kth generator-containing node to the node j is P, then P is Gki = P, otherwise P Gki ＝0。
The load distribution matrix is an MxN order matrix, using P L ＝(P Lmj ) M×N And (4) showing. The purpose of defining the matrix is to describe the connection relationship of all electrical loads to the power system and the amount of active loads to describe the boundary conditions for the consumption of carbon emission streams by power consumers in the system. The elements in the matrix are specifically defined as follows:
if node j is the m (m =1, 2.., N) th node with a load, and the active load is P, then P Lmj = P, otherwise P Lmj ＝0。
The active flux matrix of the node is an N-order diagonal matrix and uses P N ＝(P Nij ) N×N And (4) showing. According to kirchhoff's current law, at any time, for any node, the absolute values of all branch currents flowing into and out of the node are equal, and the algebraic sum is equal to 0. Thus, in the power flow analysis, the net injected power of any node is 0. However, in the carbon emission flow calculation, the node carbon potential is only influenced by the injection power flow, and the power flow flowing out of the node has no influence on the node carbon potential. Therefore, the carbon flow calculation is more concerned with considering the "absolute amount" of the active power flow flowing into the node in the direction of the power flow, called node active flux, than the algebraic sum of the current flowing through the node and the power flow.
All off-diagonal elements P in the matrix Nij ＝0，(i≠j)。P N The diagonal element of the ith row of the matrix is equal to P B Matrix sum P G The sum of the elements of the ith column of the matrix.
P N ＝diag(ζ N+K [P B P G ] T )
In the formula, ζ N+K Is a row vector of order N + K, and all elements in the vector are 1.
Different generator sets have different carbon emission characteristics, which are known conditions in the carbon emission flow calculation, and can constitute a generator set carbon emission intensity vector of the system. Let e be the carbon emission intensity of the kth (K =1, 2.., K) power generation unit Gk Then the genset carbon emission intensity vector may be expressed as:
E G ＝[e G1 e G2 ... e GK ] T
the primary computational goal of the power system carbon emission stream is the carbon potential of all nodes. Let e be the carbon potential of the ith (i =1, 2.., N) node Ni Then the node carbon potential vector can be expressed as:
E N ＝[e N1 e N2 … e NN ] T
after the node carbon potential vector is obtained through calculation, the carbon flow rate of each branch of the system can be further obtained. Thereby defining the branch carbon flow rate distribution matrix as an N-order square matrix by using R B ＝(R Bij ) N×N And (4) showing. If a branch is connected between the node i and the node j (i, j) =1, 2.. Times, N), and the forward carbon flow rate flowing from the node i to the node j through the branch is R, then R is Bij ＝0，R Bji =0; if the reverse carbon flow rate through the branch is R, then R Bij ＝0，R Bji = R; in other cases, R Bij ＝R Bji And =0. For all diagonal elements, there is R Bii ＝0(i＝1，2，…，N)。
From the above analysis it follows that:
R B ＝P B diag(E N )
and after the node carbon potential vector is obtained through calculation, the carbon emission intensity of the node load is equal to the node carbon potential. And combining the load distribution matrix to obtain the carbon flow rate corresponding to all the loads, wherein the physical meaning is the carbon emission generated by the load of the supply node on the power generation side per unit time. For the m (m =1,2, \8230;, N) th node with load, the carbon flow rate corresponding to the load is R Lm Then the loaded carbon flow rate vector can be expressed as:
R L ＝[R L1 R L2 ... R LM ] T
from the above analysis, R can be known L ＝P L E N 。
The carbon potential e of the node i in the system can be obtained through the definition of the node carbon potential Ni Comprises the following steps:
where rho s The carbon flow density of branch s. The physical meaning of the above equation is that the carbon potential of the node i is determined by the combined action of the carbon emission flow generated by the generator set connected to the node and the carbon emission flow flowing into the node from other nodes. Wherein the right numerator and denominator of equal sign respectively mean the carbon row of node i receiving the above 2-type nodeThe contribution of the discharge and the trend. By nature of the carbon emission stream, the bypass carbon stream density ρ s The carbon potential of the branch starting end node can be used for replacing the above formula, and the above formula is changed into the following matrix form:
in the formula:
is an N-dimensional unit row vector in which the ith element is 1.
According to the definition of the node active flux matrix, the following can be obtained:
the two formulas can be obtained:
due to P N The matrix is a diagonal matrix, and the dimension of the whole system of the above extended value can be obtained:
the above definitions and formulas can be collated to obtain:
if the system is not connected (isolated nodes exist) or the power flow of a line connected with a certain node in a steady state is 0 due to the high symmetry of the system and other reasons, the power flow of the line is not equal to 0
The corresponding diagonal element in the table will have zero element to make it irreversible. To avoid such a situation, the matrix P should be checked before calculation N If the diagonal elements of the system have zero elements, the nodes corresponding to the zero elements and the units and lines connected with the nodes are eliminated from the power grid, and after values of all calculation matrixes and vectors are updated, the carbon emission flow distribution of the system is calculated.
The node load carbon flow rate and branch carbon flow rate for the distribution grid 13 nodes are shown in the following table:
TABLE 1 node load carbon flow Rate
| Node numbering | Loaded carbon flow rate/(tCO) 2 *h -1 ) |
| 1 | 0.045 |
| 2 | 0 |
| 3 | 0.17678 |
| 4 | 0.07599 |
| 5 | 0 |
| 6 | 0.55696 |
| 7 | 0.07472 |
| 8 | 0.37228 |
| 9 | 0 |
| 10 | 0 |
| 11 | 0 |
| 12 | 0.07315 |
TABLE 2 Branch carbon flow Rate
In summary, the invention provides a block chain technology-based carbon emission data uplink method, which designs a three-level node architecture, deeply excavates the application potential of the block chain technology in the carbon emission calculation field, and considers the practical application of each technology based on the block chain in detail, thereby further refining the data management and transmission in the carbon emission field and ensuring the credibility of the carbon emission data. The data security system architecture combining the block chain technology and the carbon data calculation of the power distribution network of the power system calculates the carbon data in the distribution network area, is beneficial to improving the calculation and processing efficiency of the data under the condition of nonlinear enhancement of the power grid, shortens the network transmission distance from the bottom layer to the cloud end of the data, and simultaneously takes the distribution network area as a basic control node to realize the management and control of fine carbon emission and carbon neutralization. This will help to address the need for higher data interaction efficiency and larger data interaction size in the "unified collection, unified processing" mode.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present application, and these should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A method for uplink carbon emission data based on a block chain technology, the method comprising:
s1: building a main node, specifically comprising:
s11: building a block chain, and creating a block by a main node through a workload certification mechanism so as to carry out data uplink;
s12: constructing a digital signature technology information exchange system based on an asymmetric encryption technology, wherein the digital signature technology information exchange system comprises a digital signature process and a signature verification process;
s13: the normalized arrangement of the uplink data is finished through an intelligent contract;
s2: constructing a secondary node, specifically comprising:
s21: carrying out network loss sharing of the power system by a method combining forward flow and reverse flow power flow tracking, and further completing calculation of carbon emission related data;
s22: storing the carbon emission related data into a Mercker tree form, thereby completing the tracing of the abnormal data;
s3: building a common node, wherein the common node comprises the steps of collecting original power consumption data of the power distribution network, uploading the original power consumption data to a secondary node and sending a data checking request to obtain related data of carbon emission;
s4: and constructing a three-level node carbon emission data uplink system based on the block chain technology.
2. The method for uplink of carbon emission data based on block chain technology as claimed in claim 1, wherein the step S11 specifically comprises:
the master node finds the random number satisfying the following relation through workload proof:
SHA256 (SHA 256 (other data in the header of the block + random number)) ≦ target hash value
The other data of the block head refers to the hash value of the last block;
after finding the random number, the main node creates and uplinks a block and broadcasts a new block chain to the secondary node;
the secondary node receives the new blockchain and replaces its original blockchain with the new blockchain.
3. The method for uplink carbon emission data based on block chain technology of claim 1, wherein in step S12, the digital signature process is as follows: a sender obtains a digital abstract from an electronic file original text by using a Hash algorithm, encrypts the digital abstract by using a sender private key to obtain a digital signature, and sends the electronic file original text and the digital signature to a receiver; a receiver receives an electronic file original text and a digital signature;
the signature verification process is as follows: the receiver decrypts the digital signature by using the public key of the sender to obtain a digital abstract, and the digital abstract is marked as an abstract A; meanwhile, the receiver calculates the received electronic file original text by adopting the same Hash algorithm as the sender to obtain a new digital abstract which is marked as an abstract B;
and the receiver compares the abstract A with the abstract B, and if the abstract A is the same as the abstract B, the transmission success of the electronic file subjected to the digital signature is proved, and the source of the electronic file can be verified, so that the data tracing target is achieved.
4. The method of claim 1, wherein the step S13 specifically comprises: and embedding the intelligent contract as a function of the main node, triggering the function when creating the block chain, and finishing the sorting and chaining of the data.
5. The method of claim 1, wherein the primary node creates a block through a workload certification mechanism, stores data in the block, and calculates carbon emission related data for the secondary node from uploaded raw power consumption data of the distribution network collected by the common node, wherein the carbon emission related data includes node load carbon flow rate, branch carbon flow rate, and unit injection carbon flow rate.
6. The method of claim 1, wherein the step S21 specifically comprises: distributing the network loss to a power supply side and a load side by a method combining forward flow and reverse flow power flow tracking, so as to form a virtual lossless network; the load of the node and the active power of the branch are obtained by performing direct current load flow decomposition calculation on the virtual lossless network, and carbon emission related data are obtained by calculation in combination with the carbon emission intensity of the generator and the main network feeder line; the direct current power flow equation is P '= B theta'; in the formula, theta' is belonged to R n×1 Is a vector formed by voltage phase angles of nodes in a virtual network, and B belongs to R n×n A node admittance matrix formed with branch reactances, P' being E.R n×1 Injecting a vector formed by power for each node; n is the number of load nodes;
wherein injected power P 'of generator node f' f Is P' f ＝P' Gf -P' Lf ，P' Gf And P' Lf The power supply active net output power and the active net load of the generator node f are respectively;
calculating load P 'of node i by combining countercurrent tracking algorithm' Li And branch i-t's output power P' it ：
Wherein n is the number of load nodes, P i 'is the active power flowing through node i, matrix A' u Represents an upstream active power flow distribution matrix, [ A' u -1 ]Denotes the inverse of the upstream active power flow distribution matrix, the subscript if denotes the element of the ith row and the f th column, matrix [ A' u ] if Is represented as:
in the formula, P' is belonged to R n×1 Injecting a vector formed by power for each node; p' fi The active power flowing to the node i for the generator node f; ui is an upstream node set of the node i;
the carbon emission of the power system is derived from gas emitted by the generating set, and is represented by carbon emission intensity, and the carbon emission intensity of different types of generating sets is different; for hydroelectric generating set and new energy generating set, the carbon emission intensity is defaulted to 0gCO 2 V (kW × h); for a thermal power generating unit, the carbon emission intensity is 875gCO 2 V (kW × h); for the main network feeder of the distribution network, the carbon emission intensity is 450gCO 2 V (kW x h); and calculating to obtain node load carbon flow rate, branch carbon flow rate and unit injection carbon flow rate by combining the carbon emission intensity of the generator and the main network feeder, wherein the specific calculation formula is as follows:
R Gf ＝Re[ΔS Gf ]E Gf
in the formula, R Li Load carbon flow rate, R, for node i it Carbon flow rate, R, for branch i-t Gf Net loss carbon flow rate, Δ S, assumed for generator node f Gf Represents the share of the network loss borne by the generator node f, and Re represents the complex number Delta S Gf The real part of (a); p' Li Is the load of node i, P' Gf Active net output power for the power supply of generator node f, E Gf The carbon emission intensity of the generator f.
7. The method for uplink of carbon emission data based on block chain technology of claim 6, wherein the step S22 specifically comprises: storing the carbon emission related data on the block in a binary tree type Merckel tree form, wherein each piece of carbon emission related data has a hash value, combining the hash values corresponding to the two pieces of carbon emission related data and then continuing to perform hash operation to finally form a unique Merckel root of the block, and storing the Merckel root in the head part of the block; if data is tampered, the hash value corresponding to the tampered data is also changed, and the tampered data is found according to the Mercker tree from the Mercker root to the leaf node.
8. The method for uplink of carbon emission data based on block chain technology as claimed in claim 1, wherein the step S3 specifically comprises: the common node collects original power consumption data of the power distribution network through the intelligent electric meter and the intelligent socket and uploads the data to the secondary node so as to calculate relevant data of carbon emission; the common node can send a data viewing request, and a user corresponding to the common node views own carbon emission related data through an embedded intelligent contract.
9. The method of claim 1, wherein the three-level node carbon emission data uplink architecture based on the blockchain technology communicates between three level nodes via an asymmetric encryption based digital signature technology information communication scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211581718.5A CN115941206A (en) | 2022-12-09 | 2022-12-09 | Carbon emission data uplink method based on block chain technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211581718.5A CN115941206A (en) | 2022-12-09 | 2022-12-09 | Carbon emission data uplink method based on block chain technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115941206A true CN115941206A (en) | 2023-04-07 |
Family
ID=86651879
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211581718.5A Pending CN115941206A (en) | 2022-12-09 | 2022-12-09 | Carbon emission data uplink method based on block chain technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115941206A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116827971A (en) * | 2023-08-29 | 2023-09-29 | 北京国网信通埃森哲信息技术有限公司 | Block chain-based carbon emission data storage and transmission method, device and equipment |
| CN116894538A (en) * | 2023-09-11 | 2023-10-17 | 北京国电通网络技术有限公司 | Node carbon emission information generation method and device, electronic equipment and medium |
-
2022
- 2022-12-09 CN CN202211581718.5A patent/CN115941206A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116827971A (en) * | 2023-08-29 | 2023-09-29 | 北京国网信通埃森哲信息技术有限公司 | Block chain-based carbon emission data storage and transmission method, device and equipment |
| CN116827971B (en) * | 2023-08-29 | 2023-11-24 | 北京国网信通埃森哲信息技术有限公司 | Block chain-based carbon emission data storage and transmission method, device and equipment |
| CN116894538A (en) * | 2023-09-11 | 2023-10-17 | 北京国电通网络技术有限公司 | Node carbon emission information generation method and device, electronic equipment and medium |
| CN116894538B (en) * | 2023-09-11 | 2024-01-16 | 北京国电通网络技术有限公司 | Node carbon emission information generation method and device, electronic equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gai et al. | Blockchain meets cloud computing: A survey | |
| Ren et al. | Incentive mechanism of data storage based on blockchain for wireless sensor networks | |
| JP6719561B2 (en) | Supply medium (eg, electricity) trading contract system | |
| EP3513479B1 (en) | System comprising an electrical producer arrangement | |
| CN112434343B (en) | Virtual power plant safety scheduling and trading method based on dual block chain technology | |
| CN115941206A (en) | Carbon emission data uplink method based on block chain technology | |
| Khan et al. | Blockchain and 6G: The future of secure and ubiquitous communication | |
| CN114615094B (en) | Storage method and device based on Internet of things and security chip | |
| Li et al. | Synchronized provable data possession based on blockchain for digital twin | |
| Asfia et al. | Energy trading of electric vehicles using blockchain and smart contracts | |
| JP6723480B2 (en) | How to operate a power grid | |
| CN111461890A (en) | Distributed power generation transaction system and method based on multiple prediction and block chain technologies | |
| CN115115458B (en) | Energy trading system and method for near-zero carbon emission park based on block chain | |
| CN109146677A (en) | Method, computer system and the readable storage medium storing program for executing of parallel building block chain view | |
| Zhao et al. | Fuzzy identity-based dynamic auditing of big data on cloud storage | |
| Masood et al. | Closing the loop in cyber-physical systems using blockchain: Microgrid frequency control example | |
| Song et al. | Reliable reputation review and secure energy transaction of microgrid community based on hybrid blockchain | |
| Zholbaryssov et al. | Convex relaxations of the network flow problem under cycle constraints | |
| Zhang et al. | A blockchain-based microgrid data disaster backup scheme in edge computing | |
| Khatri et al. | Improving dynamic data integrity verification in cloud computing | |
| Cao et al. | A high efficiency network using DAG and consensus in blockchain | |
| Abdallah et al. | A blockchain based methodology for power grid control systems | |
| He et al. | An efficient multi-keyword search scheme over encrypted data in multi-cloud environment | |
| Ogawa et al. | Blockchain-Based Distributed Optimization for Energy Management Systems | |
| Chanal et al. | Secured data integrity scheme for Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230814 Address after: No.27 Juqian Street, Changzhou City, Jiangsu Province, 213004 Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. CHANGZHOU POWER SUPPLY BRANCH Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. Address before: No.27 Juqian Street, Changzhou City, Jiangsu Province, 213004 Applicant before: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. CHANGZHOU POWER SUPPLY BRANCH |