CN115311084A - Method, device, equipment and storage medium for electric energy point-to-point transaction - Google Patents

Method, device, equipment and storage medium for electric energy point-to-point transaction Download PDF

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CN115311084A
CN115311084A CN202210551825.7A CN202210551825A CN115311084A CN 115311084 A CN115311084 A CN 115311084A CN 202210551825 A CN202210551825 A CN 202210551825A CN 115311084 A CN115311084 A CN 115311084A
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王蓓蓓
许伦
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Southeast University
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Abstract

The invention provides a method, a device, equipment and a storage medium for electric energy point-to-point transaction, which relate to the technical field of electric power, and the management method comprises the following steps: the method comprises the following steps that a power distribution network operator submits power distribution network physical parameter information to a block chain transaction platform, wherein the power distribution network physical parameter information comprises a power distribution network topological structure, power distribution network branch parameter information and safety physical constraint information of power distribution network operation; the block chain trading platform aims at reducing the consumption of block chain platform computing resources, redesigns a load flow computing network according to the physical parameter information of the power distribution network, achieves linear design of the load flow computing network under the condition of meeting power distribution network load flow computing precision by constructing virtual node active injection (Pxn), virtual node reactive injection (Qxn), virtual branch active load flow (PLxn) and virtual branch reactive load flow (QLxn), and can obtain the highest model performance and the convergence close to the optimal strategy compared with other standard energy management methods.

Description

Method, device, equipment and storage medium for electric energy point-to-point transaction
Technical Field
The invention relates to a method, a device, equipment and a storage medium for electric energy point-to-point transaction, and belongs to the technical field of electric power transaction mechanism design.
Background
Due to the new development of information and communication technology and the appearance of block chains and other distributed account book technologies, a transparent and dispersed transaction framework is provided for energy transaction of a power distribution system, decentralized point-to-point transaction can be organized under the condition that no independent third party intervenes in a power distribution network, and the pressure of an upper-layer scheduling mechanism is greatly reduced, so that a plurality of scholars regard an transaction market on the block chain as an effective way for developing point-to-point electric energy transaction in a power distribution network power market.
In practical application, different from common commodity exchange, a scattered electric energy market is developed in a power distribution system, and the running state of the power distribution network is inevitably influenced even the safe running of the system is endangered under the condition that a unified dispatching center is not used for coordination, so that the point-to-point trading of electric energy in the market on the chain must include a trading management function on the chain, and the privacy protection requirement of a user participating in the market on the chain cannot be considered.
Disclosure of Invention
Technical problem to be solved
Compared with other standard energy management methods, the method, the device, the equipment and the storage medium for point-to-point transaction of the electric energy can obtain the highest model performance and the convergence close to the optimal strategy.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
in one aspect, a method for point-to-point transaction of electric energy is provided, which includes the following steps:
s101: the method comprises the following steps that a power distribution network operator submits power distribution network physical parameter information to a block chain transaction platform, wherein the power distribution network physical parameter information comprises a power distribution network topological structure, power distribution network branch parameter information and safety physical constraint information of power distribution network operation;
s102: the block chain trading platform is used for reducing the consumption of block chain platform computing resources, redesigning a load flow computing network according to the physical parameter information of the power distribution network, and realizing the linear design of the load flow computing network under the condition of meeting the load flow computing precision of the power distribution network by constructing virtual node active power injection (Pxn), virtual node reactive power injection (Qxn), virtual branch active power load flow (PLxn) and virtual branch reactive power load flow (QLxn);
s103: the block chain trading platform is combined with a linearized load flow calculation network, voltage calculation processes of all nodes are subjected to linearized processing according to an iterative algorithm, and a power distribution network load flow chain upper calculation Model (BC-PF Model) facing to block chain upper calculation is completely realized, so that load flow calculation does not depend on an offline calculation platform any more;
s104: a block chain trading platform constructs a complete chain market of electric energy point-to-point trading according to a BC-PF Model, and designs a trading mechanism of each trading subject participating in the complete chain market through a dual decomposition method with the purposes of chain electric energy trading, chain management and chain trading privacy protection, so as to realize the chain decomposition of a point-to-point trading Model and the local solution of a chain decomposition subproblem;
s105: the block chain trading platform designs an intelligent contract according to a trading mechanism, and normal and stable operation of a market on a complete chain is realized.
Further, the nodes participating in the point-to-point transaction include a power purchasing node and a power selling node, and the nodes participating in the point-to-point transaction need to be authenticated with the transaction platform in advance, and the authentication information includes: the transaction platform has no admission threshold requirement on nodes participating in P2P transaction.
Furthermore, the blockchain trading platform and the intelligent contracts for point-to-point trading on the built-in supporting chains of the blockchain trading platform are written in So i d ity language supported by the Ethernet workshop platform.
Further, the step S102 specifically includes:
(1) designing a power flow calculation network by adopting standard accurate power flow calculation:
Figure BDA0003650319390000021
wherein,
Figure BDA0003650319390000022
expressing the active and reactive power flows of the branch lk;
Figure BDA0003650319390000023
the active and reactive outputs of the lk downstream nodes of the branch circuit and the active and reactive losses of the downstream branch circuit are represented; sub (k +1, j) represents a Boolean variable for judging whether the node j is a downstream node of the node k + 1; NB represents the number of system nodes, and the nonlinearity of the accurate load flow calculation model can be found to be mainly reflected on the active and reactive losses of a downstream branch;
Figure BDA0003650319390000031
wherein, P ij Expressing the branch flow of a branch ij taking a node i as a head node and taking a node j as a tail node; p ji A branch load flow of a branch ji taking the node j as a head node and taking the node i as a tail node;
Figure BDA0003650319390000032
representing the network loss of a branch ij in the power flow calculation network, which is a main reason causing the nonlinearity of the power flow calculation network under the model (1); r is ij 、X ij 、δ ij Representing the resistance, reactance, phase angle difference of branch ij.
(2) By constructing virtual variables including virtual node active injection (Pxn), virtual node reactive injection (Qxn), virtual branch active power flow (PLxn) and virtual branch reactive power flow (QLxn), the power flow calculation network of the model (2) is designed in a linear way, so that the calculation resource consumption in the calculation process is reduced:
Figure BDA0003650319390000033
by the construction
Figure BDA0003650319390000034
The network loss of the branch ij is eliminated, and the linearization of the load flow calculation network is realized, wherein V i 、V j Represents the voltage at node i, j;
Figure BDA0003650319390000035
indicating new constructionVariables are as follows: branch ij, and virtual branch active power flow (PLxn) of branch ji;
under the logic of the calculation network variable setting, the linearization of the calculation power flow network is realized, wherein PLxn and Pxn are constructed in the following way:
Figure BDA0003650319390000041
wherein,
Figure BDA0003650319390000042
a virtual branch active power flow representing the branch lk,
Figure BDA0003650319390000043
virtual node active injection (Pxn) representing node j; corresponding construction methods of QLxn and Qxn are similar;
finally, the variables are integrated and expressed in a matrix form to form the linearized power flow calculation network provided by the patent:
Figure BDA0003650319390000044
wherein,
Figure BDA0003650319390000045
representing a column vector consisting of branch variables PLxn and QLxn of the system;
Figure BDA0003650319390000046
representing a column vector consisting of system node variables Pxn and Qxn; s represents a matrix constructed with Boolean variables Sub (k +1, j);
(3) linearization is carried out on the node voltage through an iterative algorithm, and a complete power distribution network load flow chain on-line calculation Model (BC-PF Model) is obtained by combining a linearized load flow calculation network Model (5), so that load flow calculation does not depend on an off-line calculation platform any more:
the models (3) to (4) find that the accuracy of the newly constructed virtual variable calculation depends on the node voltage, so that the node voltage needs to be accurately calculated and the calculation process is integrated into a power distribution network load flow chain calculation Model (BC-PF Model),
Figure BDA0003650319390000047
wherein, V i 、 V j Represents the voltage at node i, j;
Figure BDA0003650319390000048
X ij the virtual resistance and the virtual reactance of a branch ij with a node i as a head node and a node j as a tail node are represented;
constructing the voltage value of the node of the model (7) through the model (6), wherein the model (7) takes the No. 1 node as a reference node
Figure BDA0003650319390000051
The point(s) is (are) such that,
Figure BDA0003650319390000052
wherein, V 1 、V 2 、V 3 Representing the voltages at nodes 1, 2, 3;
Figure BDA0003650319390000053
the virtual resistance, the virtual reactance, the virtual branch active power flow and the virtual branch reactive power flow of the branch 12 with the node 1 as a head node and the node 2 as a tail node are shown;
Figure BDA0003650319390000054
the virtual resistance, the virtual reactance, the virtual branch active power flow and the virtual branch reactive power flow of the branch 12 with the node 2 as a head node and the node 3 as a tail node are shown; ij ∈ Path (1 j) represents a boolean variable that determines whether the branch ij is a component of the Path (1 j);
finally, the variables are integrated and expressed in a matrix form to form the voltage linearization calculation model provided by the patent:
Figure BDA0003650319390000055
wherein V represents a vector formed by node voltages of each node of the system; t denotes a matrix composed of boolean variables { ij ∈ Path (1 j) };
Figure BDA0003650319390000056
represents the resistance and reactance of any branch of the system;
Figure BDA0003650319390000057
is expressed by formula
Figure BDA0003650319390000058
A diagonal matrix is formed; b P 、B Q Is represented by a matrix
Figure BDA0003650319390000059
Figure BDA00036503193900000510
Calculating a new matrix;
and combining interactive iterative calculation between the models (7) and (8) until convergence to obtain an accurate load flow calculation result.
Further, the step S104 specifically includes:
(1) modeling trading users and net fees participating in the point-to-point electric energy trading on the chain:
the electricity purchasing user model comprises the following steps:
Figure BDA0003650319390000061
wherein alpha is j 、β j A secondary coefficient and a primary coefficient representing a power purchasing user j; p is a radical of j Representing the energy usage value of the electricity purchasing user j; u shape j (p j ) Representing the benefit brought by the energy use of the electricity purchasing user j;
electricity selling user model:
Figure BDA0003650319390000062
wherein, a i 、b i 、c i Quadratic, first order and constant terms, p, representing electricity selling users i i Indicating the power generation of electricity-selling customers i, C i (p i ) Indicating electricity selling usersi power generation cost;
a net charge model:
Figure BDA0003650319390000063
wherein, N (p) ij ) Representing the electric energy transaction amount p between the electricity selling user i and the electricity purchasing user j ij Resulting in a net charge, p ij Representing the electric energy transaction amount of the electricity selling user i and the electricity purchasing user j; pi represents the net charge of unit electric energy; d ij The virtual electric distance between the electricity selling user i and the electricity purchasing user j is represented, and the using condition of the power grid assets in the transaction of the electricity selling user i and the electricity purchasing user j can be expressed; s ij,l Representing Boolean variables in the matrix S corresponding to the line l when the electricity selling user i and the electricity purchasing user j carry out transactions;
(2) constructing targets and constraint conditions of a point-to-point electric energy transaction matching model on a chain:
Figure BDA0003650319390000064
wherein, P J ,P I ,P IJ V respectively represents a virtual electricity purchasing quantity vector of an electricity purchasing user j, a virtual electricity selling quantity vector of an electricity selling user i, a virtual electric energy transaction quantity matrix between the electricity selling user i and the electricity purchasing user j and a node voltage vector; C. p represents a power purchasing user set and a power selling user set; lambda i A dual variable representing a balance constraint of the electricity selling user i; delta j A dual variable representing a balance constraint of a power purchase user j;
Figure BDA0003650319390000071
representing the lower limit and the upper limit of the system node voltage and the corresponding dual variable;
Figure BDA0003650319390000072
representing the lower limit and the upper limit of the branch flow of the system line and the dual variables corresponding to the lower limit and the upper limit;
Figure BDA0003650319390000073
represents the upper limit, the lower limit and the lower limit of the electricity selling quantity of the electricity selling user iIts corresponding dual variable;
Figure BDA00036503193900000710
representing the upper limit and the lower limit of the electricity purchasing quantity of the electricity purchasing user j and corresponding dual variables;
(3) splitting the model (12) according to a dual-variate method, and realizing the on-chain decomposition of the point-to-point transaction model and the local solution of the on-chain decomposition subproblem so as to protect the privacy of the user and realize the on-chain transaction management:
and (3) arranging the Model (12) by adopting a power distribution network load flow chain calculation Model (BC-PF Model) to obtain:
Figure BDA0003650319390000075
wherein,
Figure BDA0003650319390000076
is represented by a matrix B C A new matrix formed by the corresponding columns of the medium-purchase power users and the power-sale users; s C 、S P Representing a new matrix formed by the corresponding columns of the electricity purchasing users and the electricity selling users in the matrix S;
Figure BDA0003650319390000077
representing the upper and lower limit margins of the n-node voltage caused by point-to-point electric energy transaction;
Figure BDA0003650319390000078
representing the value of the voltage change of the n node caused by point-to-point electric energy transaction;
Figure BDA0003650319390000079
representing the margin of the upper and lower limits of the line k current due to point-to-point power trading.
Constructing a Lagrangian function for the model (13) resulting in:
Figure BDA0003650319390000081
splitting the model (14) by adopting a dual decomposition method to obtain:
Figure BDA0003650319390000082
Figure BDA0003650319390000083
Figure BDA0003650319390000084
the model (15 a) is equivalent split of the model (14), chain management of transactions can be achieved on the basis that user privacy information (cost information such as primary coefficients, secondary coefficients and constant terms) is unknown according to the model (15 a), the models (15 b) and (15 c) are solving models of sub-problems in the model (15 a) and can be solved locally by a user, and then the solving results are uploaded to a chain to achieve protection of the user privacy information.
Updating the even variables by adopting a gradient ascending method:
Figure BDA0003650319390000085
wherein,
Figure BDA0003650319390000086
representing that the Lagrangian function L calculates gradient of the even variable lambda;
Figure BDA0003650319390000087
representing that the Lagrange function L graduates the dual variable k;
Figure BDA0003650319390000088
representing the gradient of the dual variable mu by the Lagrangian function L;
Figure BDA0003650319390000089
representing that the Lagrangian function L calculates the gradient of the dual variable gamma; alpha (alpha) ("alpha") t Representing an iteration step of the t-th iteration;
Figure BDA0003650319390000091
representing the even-pair variable value of the t iteration;
the node voltages of the nodes are updated according to a model (8):
Figure BDA0003650319390000092
repeatedly carrying out iterative calculation according to the models (15 b), (15 c), (16) and (17) until the model satisfies the requirements
Figure BDA0003650319390000093
And obtaining a result of the point-to-point electric energy transaction on the chain.
In yet another aspect, an apparatus is provided, the apparatus comprising:
the measured resource parameter acquisition module is used for acquiring the measured state parameters and the measured resource parameters of the target resources;
and the target management strategy output module is used for inputting the measured state parameters and the measured resource parameters into a pre-trained target management model to obtain an output target management strategy and target gains corresponding to the target management strategy, wherein the target management model is obtained by training based on a flexible action-evaluation algorithm.
In yet another aspect, an apparatus is provided, the apparatus comprising:
at least one processor;
a memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement a method of point-to-point transaction of electrical energy as recited in claims 1-5.
In yet another aspect, a storage medium of computer-executable instructions is provided, which when executed by a computer processor, is for performing a method of point-to-point transaction of electrical energy as recited in claims 1-5.
(III) advantageous effects
The invention provides a method, a device, equipment and a storage medium for electric energy point-to-point transaction.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a method for peer-to-peer transaction of electrical energy according to an embodiment of the present invention;
FIG. 2 is a graph comparing the voltage calculation effects of the BC-PF Model according to the embodiment of the present invention;
FIG. 3 is a comparison graph of load flow calculation effects of the BC-PF Model according to the embodiment of the present invention;
FIG. 4 is a diagram illustrating a convergence of transaction results for a transaction mechanism of the complete linked market in an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1, fig. 1 is a schematic flow chart of a point-to-point transaction design method for full-link market electric energy in an embodiment of the present invention, where the method may include:
s101: and the power distribution network operator submits power distribution network physical parameter information including a power distribution network topological structure, power distribution network branch parameter information and power distribution network operation safety physical constraint information to the block chain transaction platform.
S102: and the block chain transaction platform realizes the linearization of the load flow calculation network by constructing virtual variables.
Specifically, the block chain trading platform aims at reducing the calculation resource consumption of the block chain platform, redesigns the load flow calculation network according to the physical parameter information of the power distribution network, and realizes the linear design of the load flow calculation network under the condition of meeting the load flow calculation precision of the power distribution network by constructing virtual node active power injection (Pxn), virtual node reactive power injection (Qxn), virtual branch active power load flow (PLxn) and virtual branch reactive power load flow (QLxn).
Further, the specific process for implementing the steps comprises:
firstly, designing a power flow calculation network by adopting standard accurate power flow calculation, wherein a specific model is as follows:
Figure BDA0003650319390000111
Figure BDA0003650319390000112
secondly, a virtual variable is constructed, wherein the virtual variable comprises virtual node active injection (Pxn), virtual node reactive injection (Qxn), virtual branch active power flow (PLxn) and virtual branch reactive power flow (QLxn), and a power flow calculation network of the model (2) is designed in a linear mode, so that the calculation resource consumption of the calculation process is reduced, and the specific model is as follows:
Figure BDA0003650319390000113
through the model (3), it can be found that
Figure BDA0003650319390000114
The network loss of the branch ij can be eliminated, and the linearization of the load flow calculation network is realized.
Without loss of generality, PLxn, pxn are constructed as follows:
Figure BDA0003650319390000121
and thirdly, integrating the variables, and expressing the variables in a matrix form to obtain the linearized power flow calculation network provided by the patent:
Figure BDA0003650319390000122
s103: the block chain transaction platform linearizes the system node voltage, and combines the linearization of load flow calculation to realize a power distribution network load flow chain upper calculation Model (BC-PF Model) facing the block chain upper calculation.
Further, the specific process for implementing the steps comprises:
firstly, linearizing the node voltage through an iterative algorithm, wherein a specific model is as follows:
Figure BDA0003650319390000123
because the node 1 is often directly connected with the upper-layer power grid, the voltage per unit value of the node can be maintained as 1, the model (7) takes the node 1 as a reference node, and the voltage values of other nodes are constructed through the model (6).
Figure BDA0003650319390000131
And secondly, integrating the variables, expressing the variables in a matrix form to obtain a voltage linearization calculation model provided by the patent, wherein the specific model is as follows:
Figure BDA0003650319390000132
and thirdly, combining interactive iterative calculation between the models (7) and (8) until convergence to obtain an accurate load flow calculation result, wherein the process is a complete power distribution network load flow chain calculation Model (BC-PF Model).
As shown in fig. 2-3, the BC-PF Model voltage and power flow calculation results are compared with the calculation results of other platform-supported power flow calculation models (an alternating current power flow calculation Model, a direct current power flow calculation Model, and a power flow calculation Model based on taylor expansion) that need to be linked.
S104: a complete chain market transaction mechanism of electric energy point-to-point transaction is designed according to the BC-PF Model, and chain management and chain transaction privacy protection of electric energy transaction are achieved.
Specifically, a block chain trading platform constructs a complete chain market of electric energy point-to-point trading according to a BC-PF Model, aims at managing on the chain electric energy trading and protecting privacy of trading on the chain, and designs a trading mechanism of each trading subject participating in the complete chain market through a dual decomposition method, so as to realize the on-chain decomposition of the point-to-point trading Model and the local solution of the on-chain decomposition subproblems.
Further, the specific process for realizing the steps comprises the following steps:
firstly, modeling trading users and net fees participating in point-to-point electric energy trading on a chain:
the electricity purchasing user model comprises the following steps:
Figure BDA0003650319390000141
electricity selling user model:
Figure BDA0003650319390000142
a net charge model:
Figure BDA0003650319390000143
secondly, constructing targets and constraint conditions of a point-to-point electric energy transaction matching model on the chain:
Figure BDA0003650319390000144
thirdly, splitting the model (12) according to a dual variable method to realize the on-chain decomposition of the point-to-point transaction model and the local solution of the on-chain decomposition subproblem so as to protect the privacy of the user and realize the on-chain transaction management, wherein the specific model is as follows:
Figure BDA0003650319390000151
constructing a Lagrangian function for the model (13) resulting in:
Figure BDA0003650319390000152
splitting the model (14) by adopting a dual decomposition method to obtain:
Figure BDA0003650319390000153
Figure BDA0003650319390000154
Figure BDA0003650319390000155
in the above formula, the model (15 a) is an equivalent split of the model (14), chain management of transactions can be realized on the basis of unknown user privacy information (cost information such as primary coefficient, secondary coefficient, constant item and the like) according to the model (15 a), the models (15 b) and (15 c) are solving models of sub-problems in the model (15 a), the local solution can be performed on a user, and then the solution result is uploaded to a chain to realize protection of the user privacy information.
Updating the even variables by adopting a gradient ascending method:
Figure BDA0003650319390000161
fourthly, updating the node voltage of each node according to the model (8):
Figure BDA0003650319390000162
and fifthly, repeatedly and iteratively calculating according to the models (15 b), (15 c), (16) and (17) until the following convergence condition (model (18)) is met, and obtaining a result of the point-to-point electric energy transaction on the chain.
Figure BDA0003650319390000163
For example, the trading mechanism trading result of the complete chain market is shown in fig. 4, and the trading result can find that the results obtained by the trading mechanism all achieve convergence.
Fig. 5 is a schematic structural diagram of a device according to an embodiment of the present invention, where the embodiment of the present invention provides a service for a complete chain market electric energy point-to-point transaction design method considering chain transaction management and user privacy protection according to the above embodiment of the present invention, and a device for implementing the complete chain market electric energy point-to-point transaction method according to the above embodiment may be configured. FIG. 5 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 5 is only an example and should not impose any limitation on the functionality or scope of use of an embodiment of the invention.
As shown in FIG. 5, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5 and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with device 12, and/or with any devices (e.g., network card, modem, etc.) that enable device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown in FIG. 5, the network adapter 20 communicates with the other modules of the device 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAI D systems, tape drives, and data backup storage systems, etc.
The processing unit 16 executes programs stored in the system memory 28, thereby executing various functional applications and data processing, such as an implementation program for implementing the P2P transaction method provided by the embodiment of the present invention.
Through the equipment, the physical constraint of adding distribution network safety in P2P transaction is solved, the P2P transaction can be automatically carried out under the unsupervised condition, and the safe and stable operation of a power distribution system can not be threatened.
The embodiment of the invention also provides a storage medium containing computer executable instructions, and the computer executable instructions are used for executing the power distribution network state calculation contract, the transaction application contract, the transaction matching contract and the transaction settlement contract which are written by the Solidity language supported by the Ethernet workshop platform and are related to the P2P transaction method when being executed by a computer processor.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Of course, the storage medium provided by the embodiments of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the above method operations, and may also perform related operations in any embodiments of the present invention.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

Claims (8)

1. A method for peer-to-peer transaction of electric energy, comprising the steps of:
s101: a power distribution network operator submits power distribution network physical parameter information to a block chain transaction platform, wherein the power distribution network physical parameter information comprises a power distribution network topological structure, power distribution network branch parameter information and power distribution network operation safety physical constraint information;
s102: the block chain trading platform is used for reducing the consumption of block chain platform computing resources, redesigning a load flow computing network according to the physical parameter information of the power distribution network, and realizing the linear design of the load flow computing network under the condition of meeting the load flow computing precision of the power distribution network by constructing virtual node active power injection (Pxn), virtual node reactive power injection (Qxn), virtual branch active power load flow (PLxn) and virtual branch reactive power load flow (QLxn);
s103: the block chain trading platform is combined with a linear load flow calculation network, the calculation process of the node voltage of the power distribution system is subjected to linear processing according to an iterative algorithm, and a power distribution network load flow chain on-calculation Model (BC-PF Model) facing to block chain on-calculation is completely realized, so that the load flow calculation does not depend on an off-line calculation platform any more;
s104: a block chain trading platform constructs a complete chain market of electric energy point-to-point trading according to a BC-PF Model, and designs a trading mechanism of each trading subject participating in the complete chain market through a dual decomposition method with the purposes of chain electric energy trading, chain management and chain trading privacy protection, so as to realize the chain decomposition of a point-to-point trading Model and the local solution of a chain decomposition subproblem;
s105: the block chain trading platform designs an intelligent contract according to a trading mechanism, and normal and stable operation of a market on a complete chain is realized.
2. The method of claim 1, wherein the users participating in the peer-to-peer transaction include a power purchasing user and a power selling user, and the nodes participating in the peer-to-peer transaction need to be authenticated with the transaction platform in advance, and the authentication information includes: the transaction platform has no admission threshold requirement on nodes participating in P2P transaction.
3. The method of claim 1, wherein the blockchain trading platform and the intelligent contracts for point-to-point trading on the supporting chains built in the blockchain trading platform are written in a Solidity language supported by the ethernet platform.
4. The method of claim 1, wherein the step S102 specifically includes:
(1) designing a power flow calculation network by adopting standard accurate power flow calculation:
Figure FDA0003650319380000021
wherein,
Figure FDA0003650319380000022
expressing the active and reactive power flows of the branch lk;
Figure FDA0003650319380000023
the active and reactive outputs of the Ik downstream node of the branch circuit and the active and reactive losses of the downstream branch circuit are represented; sub (k +1, j) represents a Boolean variable for judging whether the node j is a downstream node of the node k + 1; NB represents the number of system nodes, and the nonlinearity of the accurate load flow calculation model can be found to be mainly reflected on the active and reactive losses of a downstream branch;
Figure FDA0003650319380000024
wherein, P ij Expressing the branch flow of a branch ij taking a node i as a head node and taking a node j as a tail node; p ji A branch flow of a branch ji taking the node j as a head node and the node i as a tail node;
Figure FDA0003650319380000025
representing the network loss of a branch ij in the power flow calculation network, which is a main reason causing the nonlinearity of the power flow calculation network under the model (1); r is ij 、X ij 、δ ij Representing the resistance, reactance, phase angle difference of branch ij.
(2) Through constructing virtual variables, the load flow calculation network comprising virtual node active injection (Pxn), virtual node reactive injection (Qxn), virtual branch active load flow (PLxn) and virtual branch reactive load flow (QLxn) and the model (2) is designed in a linear mode, so that the calculation resource consumption in the calculation process is reduced:
Figure FDA0003650319380000031
by the structure
Figure FDA0003650319380000032
The network loss of the branch ij is eliminated, and the linearization of the load flow calculation network is realized, wherein V i 、V j Represents the voltage at node i, j;
Figure FDA0003650319380000033
variables representing the new construct: branch ij, and virtual branch active power flow (PLxn) of branch ji;
under the logic of the calculation network variable setting, the linearization of the calculation power flow network is realized, wherein PLxn and Pxn are constructed in the following way:
Figure FDA0003650319380000034
wherein,
Figure FDA0003650319380000035
a virtual branch active power flow representing the branch lk,
Figure FDA0003650319380000036
virtual node active injection (Pxn) representing node j; corresponding construction methods of QLxn and Qxn are similar;
finally, the variables are integrated and expressed in a matrix form to form the linearized power flow calculation network provided by the patent:
Figure FDA0003650319380000037
wherein,
Figure FDA0003650319380000038
representing a column vector formed by branch variables PLxn and QLxn of the system;
Figure FDA0003650319380000039
representing a column vector consisting of system node variables Pxn and Qxn; s represents a matrix constructed with Boolean variables Sub (k +1, j);
(3) linearization is carried out on the node voltage through an iterative algorithm, and a complete power distribution network load flow chain on-line calculation Model (BC-PF Model) is obtained by combining a linearized load flow calculation network Model (5), so that load flow calculation does not depend on an off-line calculation platform any more:
the models (3) to (4) find that the accuracy of the calculation of the newly constructed virtual variable depends on the node voltage, so that the accurate calculation of the node voltage needs to be modeled, and the calculation process is fused into the power distribution networkIn a calculation Model (BC-PF Model) on a power flow chain,
Figure FDA0003650319380000041
wherein, V i 、V j Represents the voltage at node i, j;
Figure FDA0003650319380000042
X ij the virtual resistance and the virtual reactance of a branch ij with a node i as a head node and a node j as a tail node are represented;
constructing the voltage value of the node of the model (7) through the model (6), wherein the model (7) takes the node No. 1 as a reference node,
Figure FDA0003650319380000043
wherein, V 1 、V 2 、V 3 Representing the voltages at nodes 1, 2, 3;
Figure FDA0003650319380000044
the virtual resistance, the virtual reactance, the virtual branch active power flow and the virtual branch reactive power flow of the branch 12 with the node 1 as a head node and the node 2 as a tail node are shown;
Figure FDA0003650319380000045
the virtual resistance, the virtual reactance, the virtual branch active power flow and the virtual branch reactive power flow of the branch 12 with the node 2 as a head node and the node 3 as a tail node are shown; ij ∈ Path (1 j) represents a boolean variable that determines whether the branch ij is a component of the Path (1 j);
finally, the variables are integrated and expressed in a matrix form to form the voltage linearization calculation model provided by the patent:
Figure FDA0003650319380000046
wherein V represents a vector formed by node voltages of each node of the system; t denotes a matrix composed of boolean variables { ij ∈ Path (1 j) };
Figure FDA0003650319380000051
represents the resistance and reactance of any branch of the system;
Figure FDA0003650319380000052
is expressed by formula
Figure FDA0003650319380000053
A diagonal matrix is formed; b P 、B Q Is represented by a matrix
Figure FDA0003650319380000054
Figure FDA0003650319380000055
Calculating a new matrix;
and combining interactive iterative calculation between the models (7) and (8) until convergence to obtain an accurate load flow calculation result.
5. The method of claim 1, wherein the step 104 comprises:
(1) modeling transaction users and net fees for participating in point-to-point electric energy transactions on a chain:
the electricity purchasing user model comprises the following steps:
Figure FDA0003650319380000056
wherein alpha is j 、β j A secondary coefficient and a primary coefficient representing a power purchase user j; p is a radical of formula j Representing the energy usage value of the electricity purchasing user j; u shape j (p j ) Representing the benefit brought by the energy use of the electricity purchasing user j;
electricity selling user model:
Figure FDA0003650319380000057
wherein, a i 、b i 、c i Representing electricity-selling users iQuadratic coefficient, first order coefficient and constant term, p i Indicating the power generation of electricity-selling customers i, C i (p i ) Representing the power generation cost of the electricity selling user i;
a net charge model:
Figure FDA0003650319380000058
wherein, N (p) ij ) Representing the electric energy transaction amount p between the electricity selling user i and the electricity purchasing user j ij Resulting in a net charge, p ij Representing the electric energy transaction amount of the electricity selling user i and the electricity purchasing user j; pi represents the net charge of unit electric energy; d is a radical of ij The virtual electrical distance between the electricity selling user i and the electricity purchasing user j is represented, and the using condition of the power grid assets in the transaction of the electricity selling user i and the electricity purchasing user j can be expressed; s ij,l Representing Boolean variables in the matrix S corresponding to the line l when the electricity selling user i and the electricity purchasing user j carry out transactions;
(2) constructing targets and constraint conditions of a point-to-point electric energy transaction matching model on a chain:
Figure FDA0003650319380000061
wherein, P J ,P I ,P IJ V respectively represents a virtual electricity purchasing quantity vector of an electricity purchasing user j, a virtual electricity selling quantity vector of an electricity selling user i, a virtual electric energy transaction quantity matrix between the electricity selling user i and the electricity purchasing user j, and a node voltage vector; C. p represents an electricity purchasing user set and an electricity selling user set; lambda [ alpha ] i A dual variable representing a balance constraint of the electricity selling user i; delta. For the preparation of a coating j A dual variable representing a balance constraint of a power purchase user j;
Figure FDA0003650319380000062
representing the lower limit and the upper limit of the system node voltage and the corresponding dual variables;
Figure FDA0003650319380000063
lower limit and upper limit representing system line branch power flow and corresponding dual changeAn amount; i p、
Figure FDA0003650319380000064
representing the upper limit and the lower limit of the electricity selling quantity of the electricity selling user i and the corresponding dual variable; j p、
Figure FDA0003650319380000065
representing the upper limit and the lower limit of the electricity purchasing quantity of the electricity purchasing user j and corresponding dual variables;
(3) splitting the model (12) according to a dual-variate method, and realizing the on-chain decomposition of the point-to-point transaction model and the local solution of the on-chain decomposition subproblem so as to protect the privacy of the user and realize the on-chain transaction management:
and (3) sorting the Model (12) by adopting a power distribution network load flow chain calculation Model (BC-PF Model) to obtain:
Figure FDA0003650319380000071
wherein,
Figure FDA0003650319380000072
is represented by a matrix B C A new matrix formed by the corresponding columns of the medium-purchase power users and the power-sale users; s C 、S P Representing a new matrix composed of columns corresponding to electricity purchasing users and electricity selling users in the matrix S;
Figure FDA0003650319380000073
representing the upper and lower limit margins of the n-node voltage caused by point-to-point electric energy transaction;
Figure FDA0003650319380000074
representing the value of the voltage change of the n node caused by point-to-point electric energy transaction;
Figure FDA0003650319380000075
representing the margin of the upper and lower limits of the line k current due to point-to-point power transactions.
Constructing a Lagrangian function for the model (13) resulting in:
Figure FDA0003650319380000076
splitting the model (14) by a dual decomposition method to obtain:
Figure FDA0003650319380000077
Figure FDA0003650319380000078
Figure FDA0003650319380000081
the model (15 a) is equivalent split of the model (14), chain management of transactions can be achieved on the basis that user privacy information (cost information such as primary coefficients, secondary coefficients and constant terms) is unknown according to the model (15 a), the models (15 b) and (15 c) are solving models of sub-problems in the model (15 a) and can be solved locally by a user, and then the solving results are uploaded to a chain to achieve protection of the user privacy information.
Updating the even variables by adopting a gradient ascending method:
Figure FDA0003650319380000082
wherein,
Figure FDA0003650319380000083
expressing that the Lagrange function L calculates the gradient of the dual variable lambda;
Figure FDA0003650319380000084
representing LagrangianThe function L graduates the even variables kappa;
Figure FDA0003650319380000085
representing the gradient of the dual variable mu by the Lagrangian function L;
Figure FDA0003650319380000086
representing that the Lagrangian function L calculates the gradient of the dual variable gamma; alpha is alpha t Representing an iteration step of the t-th iteration;
Figure FDA0003650319380000087
representing the even variable value of the t iteration;
the node voltages of the nodes are updated according to a model (8):
Figure FDA0003650319380000088
repeatedly carrying out iterative calculation according to the models (15 b), (15 c), (16) and (17) until the model satisfies the requirements
Figure FDA0003650319380000089
And obtaining the result of the point-to-point electric energy transaction on the chain.
6. An apparatus, comprising:
the information acquisition module is configured to acquire physical parameter information of the power distribution network;
the intelligent terminal module is configured to be internally provided with intelligent contract codes such as transaction application, local solution and the like written by the solid language supported by the Ether, and provides a communication interface connected with the central processing module of the platform for the transaction node;
the platform central processing module is configured to embed intelligent contracts such as on-chain load flow calculation written by the Solidity language supported by the Etherns, point-to-point trading node publishing and the like.
7. An apparatus, comprising:
at least two processors;
the processor is connected with at least one memory and at least one bus;
the processor and the memory complete mutual communication through the bus; the processor is operable to invoke program instructions in the memory to perform the method of any of claims 1 to 5.
8. A storage medium containing computer-executable instructions, the storage medium comprising a stored program, wherein the program, when executed, controls an apparatus on which the storage medium is located to perform the method of any one of claims 1 to 5.
CN202210551825.7A 2022-05-18 2022-05-18 Method, device, equipment and storage medium for electric energy point-to-point transaction Pending CN115311084A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116308802A (en) * 2023-05-15 2023-06-23 广东电网有限责任公司东莞供电局 Intelligent contract-based power transaction method, device, equipment and storage medium
CN117349897A (en) * 2023-12-05 2024-01-05 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Block chain-based carbon quota transaction privacy protection method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116308802A (en) * 2023-05-15 2023-06-23 广东电网有限责任公司东莞供电局 Intelligent contract-based power transaction method, device, equipment and storage medium
CN116308802B (en) * 2023-05-15 2023-10-31 广东电网有限责任公司东莞供电局 Intelligent contract-based power transaction method, device, equipment and storage medium
CN117349897A (en) * 2023-12-05 2024-01-05 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Block chain-based carbon quota transaction privacy protection method
CN117349897B (en) * 2023-12-05 2024-03-26 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Block chain-based carbon quota transaction privacy protection method

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