CN116470490A - Virtual power plant based on energy block chain network and scheduling method - Google Patents
Virtual power plant based on energy block chain network and scheduling method Download PDFInfo
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- ZHKMVECXITZAPL-SNSGICDFSA-N tsvpp protocol Chemical compound ClCCN(N=O)C(=O)NC1CCCCC1.CNNCC1=CC=C(C(=O)NC(C)C)C=C1.O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1.C([C@H](C[C@]1(C(=O)OC)C=2C(=C3C([C@]45[C@H]([C@@]([C@H](OC(C)=O)[C@]6(CC)C=CCN([C@H]56)CC4)(O)C(=O)OC)N3C)=CC=2)OC)C[C@@](C2)(O)CC)N2CCC2=C1NC1=CC=CC=C21 ZHKMVECXITZAPL-SNSGICDFSA-N 0.000 claims description 9
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a virtual power plant based on an energy block chain network and a scheduling method, wherein the virtual power plant comprises a block chain model, the block chain model has the characteristics of a private chain and a public chain, and the private chain of the block chain is specifically as follows: the VPP is used as a central node, and independently enjoys the issuing right and the accounting right of the blockchain; the issuing right of the block chain comprises the issuing right of the calculation task and corresponding incentive of the new block; the invention also introduces the blockchain into the scheduling method of the virtual power plant, so that DER can effectively participate in the electric market transaction, and the overall operation efficiency of the virtual power plant is improved, and meanwhile, the virtual power plant obtains a greater degree of information security guarantee by virtue of the own cryptography characteristic of the blockchain.
Description
Technical Field
The invention relates to a virtual power plant based on an energy block chain network and a scheduling method, and belongs to the technical field of power systems.
Background
With the rapid development of distributed renewable energy sources, demand side management and virtual power plants (virtual power plant, VPP) have become key factors for the progression from smart grids to the energy internet, with virtual power plants being the most important technology. Virtual power plant technology refers to the combination of controllable loads, distributed power sources (distributedelectric resource, DER) and energy storage systems organically through a virtual control center, so that the controllable loads, the distributed power sources (DER) and the energy storage systems participate in running in a power grid in the identity of a specific power plant. At present, a virtual power plant is taken as an important component of the electric power market, and plays an active role in the process of participating in electric power market trading. However, the benefit distribution mechanism in the virtual power plant is not disclosed to the outside at present, and the two-way selection of information symmetry cannot be formed between the distributed energy source and the virtual power plant, so that the credit cost is increased in the power transaction process, and the transaction cost is higher.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a virtual power plant and a scheduling method based on an energy source blockchain network, which are used for introducing a blockchain into the operation scheduling process of the virtual power plant, so that DER can effectively participate in electric market transaction, and the virtual power plant obtains a greater degree of information security guarantee by virtue of the own cryptology characteristics of the blockchain while improving the overall operation efficiency of the virtual power plant.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a virtual power plant based on an energy blockchain network, the virtual power plant comprising a blockchain model that is a semi-centralized blockchain having both private and public chains;
the private chain takes VPP as a central node, and independently enjoys the issuing right and the accounting right of the blockchain; the issuing right of the blockchain comprises the issuing right of a new block and the issuing right of corresponding incentive, wherein the calculating task of the new block is issued to DER by VPP according to the calculating requirement of an optimal scheduling plan solving algorithm, the corresponding incentive is virtual currency VPP-coin issued by VPP, the unit value of the VPP-coin is designed to be rated forced grid-connected capacity, and the DER can optimize grid-connected strategy through exchanging the forced grid-connected capacity by the VPP-coin so as to maximize the income of the DER; the accounting right of the blockchain comprises accounting rights of VPP-paint transaction data and blocktechnology data, wherein before the distributed computation starts, DER exchanges transaction data generated by forced grid-connected capacity with VPP by virtual currency VPP-paint and the VPP counts the blockchain; after the distributed computation is started, the technical data generated in the consensus process of the new block is found and is counted into a block chain by the VPP to be used as the excitation distribution basis of the new block;
the common chain is corresponding excitation of new blocks enjoyed by all DERs according to a POW consensus mechanism, and VPPs serving as central nodes do not interfere.
Optionally, the blockchain model is configured to:
before the N-th electricity price period starts, the VPP generates a new block according to the preface block chain and transaction information of virtual currency VPP-coin purchased by the preface block chain, and issues calculation tasks of the preface block chain in real time;
the DER discovers a new block through a POW consensus mechanism and obtains the initial accounting right of the new block;
after the distributed calculation in the current electricity price period is completed, the VPP issues corresponding VPP-coin as incentive to DER which obtains initial accounting rights in the blockchain according to the market holding quantity of the current VPP-coin;
after the N-th electricity price period starts, the VPP coordinates and controls each DER grid connection according to the optimal scheduling plan obtained through distributed computation.
Optionally, the virtual power plant further comprises a DER grid-connected model and a VPP optimized scheduling model.
Optionally, the DER grid-tie model includes:
in the Nth electricity price period, the grid-connected strategies of the RMG and the LSDER comprise forced grid connection and competitive bidding grid connection;
the forced grid connection means that the kth DER exchanges the forced grid connection capacity with virtual currency VPP-coi, the VPP ensures a grid connection mode meeting the forced grid connection requirement of the DER, and the transaction electricity price of the forced grid connection capacity is the actual cost electricity price of the VPP in each period of the Nth electricity price period;
the bidding and grid connection refers to a bidding curve of price and output of the kth DER, and the VPP decides a grid connection mode of grid connection capacity and electricity price according to the bidding curve;
the grid-connected strategy of the SSDER is to decide that the grid-connected capacity of any period in the N-th power price period is the same according to the cost power price of the non-DER grid connection and the capacity of the RMG energy storage equipment to which the non-DER grid-connected power price belongs, and sign a grid-connected contract with the RMG to which the non-DER grid-connected power price belongs; and the grid connection mode is a grid connection mode of the RMG agent grid connection to which the grid connection mode belongs in the corresponding period of the Nth electricity price period.
Optionally, the VPP optimization scheduling model includes:
according to the electric energy demand in the VPP jurisdiction, each DER bidding and grid connection are carried out, and an optimal scheduling plan solving function is established:
in the formula, cost 1 Operation cost function of interest for CVPP and TVPP, Q 0 The capacity to power the VPP for the centralized power supply,is Q 0 Corresponding costs, C is the fixed operating costs, +.>For LSDER benefit, BQ k Bidding and grid-connected capacity for the kth DER; cost (test) 2 Power grid active network loss function, U, which is focused on CVPP and TVPP i 、U i′ Is the ith, i ′ Voltage of energy node, R ii′ Is the ith, i ′ Impedance of the branches between the energy nodes; cost (test) 3 Voltage deviation degree function of interest for CVPP and TVPP, U 0 The reference voltage of the energy nodes is n, and the number of the energy nodes is n; wherein:
wherein m is k 、n k Bid parameters for kth DER, BQ kmin ,BQ kmax The lower limit and the upper limit of bidding and grid-connected capacity of the kth DER are set, and Deltat is the time period;
normalizing an operation cost function, a power grid active network loss function and a voltage deviation degree function:
wherein v=1, 2,3, cost vmax 、Cost vmin Maximum and minimum values output for the v-th function;
constructing an objective function Cost according to the normalization result:
Cost＝max(A(Cost 1 ),A(Cost 2 ),A(Cost 3 ))
and taking the objective function Cost as a VPP optimal scheduling model.
In a second aspect, the invention provides a scheduling method of a virtual power plant, wherein the virtual power plant is the virtual power plant based on the energy block chain network; the scheduling method comprises the following steps:
responding to the self specific identity ID submitted by each energy node, and carrying out identity verification by the blockchain model;
responding to a verification success signal returned by the block chain model, and each energy node accesses historical data and predicts own state information;
responding to the prediction results issued by all energy nodes, and implementing a grid-connected strategy by the DER grid-connected model;
responding to the current state information and the prediction information issued by each energy node, and forming a scheduling scheme by using a VPP optimal scheduling model;
and responding to the dispatching scheme issued by the VPP optimized dispatching model, and carrying out optimized calculation of the dispatching scheme by each energy node.
Optionally, the energy nodes are an electricity consumption unit and an electricity generation unit in the blockchain model, and the specific identity ID of each energy node is used as a unique identity for identity verification of joining in the blockchain model.
Optionally, the forming of the scheduling scheme by the VPP optimization scheduling model further includes verifying the scheduling scheme, and publishing after verification is passed; the verification includes that the load of each energy node is smaller than or equal to a preset load threshold.
Compared with the prior art, the invention has the beneficial effects that:
according to the virtual power plant and the scheduling method based on the energy blockchain network, the VPP coordination control means and the DER independent grid connection behavior are organically linked through the blockchain excitation mechanism, the high-permeability, high-freedom, high-frequency and high-speed grid connection of the DER is realized on the basis of ensuring the safe and reliable operation of a power system, and in addition, the DER can optimize the grid connection strategy through the forced grid connection capacity of the VPP-coi exchange and maximize the self-income; meanwhile, the release quantity of the VPP-coins is determined by the VPP according to the current market conservation quantity, and the VPP induces DER grid-connected behaviors so as to ensure the safe and economical operation of the power system. The invention also introduces the blockchain into the operation scheduling process of the virtual power plant, so that the DER can effectively participate in the electric market transaction, and the overall operation efficiency of the virtual power plant is improved, and meanwhile, the virtual power plant obtains a greater degree of information security guarantee by virtue of the own cryptography characteristic of the blockchain.
Drawings
FIG. 1 is a schematic diagram of a virtual power plant based on an energy blockchain network according to an embodiment of the invention;
fig. 2 is a flowchart of a scheduling method of a virtual power plant according to a second embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
as shown in fig. 1, the embodiment of the invention provides a virtual power plant based on an energy blockchain network, wherein the virtual power plant comprises a blockchain model, a DER grid-connected model and a VPP optimization scheduling model, and specifically:
1. the blockchain model is a semi-centralized blockchain with both private and public chains.
1.1, the private chain takes VPP as a central node, and independently enjoys the issuing right and the accounting right of the blockchain; the issuing rights of the blockchain comprise the calculating task of the new block and the issuing rights of corresponding incentives, the calculating task of the new block is issued to DER by VPP according to the calculating requirement of the optimal scheduling plan solving algorithm, the corresponding incentives are virtual currency VPP-coin issued by the VPP, the unit value of the VPP-coin is designed to be rated forced grid-connected capacity, and the DER can optimize the grid-connected strategy through exchanging the forced grid-connected capacity by the VPP-coin so as to maximize the self income; the accounting right of the blockchain comprises accounting rights of VPP-coi transaction data and blocktechnology data, wherein before the VPP-coi transaction data is distributed calculation, DER exchanges transaction data generated by forced grid-connected capacity with VPP by virtual currency VPP-coi and the VPP accounts for the blockchain; after the distributed computation is started, the technical data generated in the consensus process of the new block is found and is counted into a block chain by the VPP to be used as the excitation distribution basis of the new block;
1.2, the public chain is the corresponding incentive of the new block enjoyed by all DERs according to the POW consensus mechanism, and the VPP serving as a central node does not interfere.
1.3, blockchain model is used to:
before the N-th electricity price period starts, the VPP generates a new block according to the preface block chain and transaction information of virtual currency VPP-coin purchased by the preface block chain, and issues calculation tasks of the preface block chain in real time;
the DER discovers a new block through a POW consensus mechanism and obtains the initial accounting right of the new block;
after the distributed calculation in the current electricity price period is completed, the VPP issues corresponding VPP-coin as incentive to DER which obtains initial accounting rights in the blockchain according to the market holding quantity of the current VPP-coin;
after the N-th electricity price period starts, the VPP coordinates and controls each DER grid connection according to the optimal scheduling plan obtained through distributed computation.
2. The DER grid-connected model comprises:
in the Nth electricity price period, the grid-connected strategies of the RMG and the LSDER comprise forced grid connection and competitive bidding grid connection;
the forced grid connection means that the kth DER exchanges the forced grid connection capacity with virtual currency VPP-coi, the VPP ensures a grid connection mode meeting the forced grid connection requirement of the DER, and the transaction electricity price of the forced grid connection capacity is the actual cost electricity price of the VPP in each period of the nth electricity price period;
the bidding and grid connection refers to a bidding curve of price and output of the kth DER, and the VPP decides a grid connection mode of grid connection capacity and electricity price according to the bidding curve;
the grid-connected strategy of the SSDER is to decide that the grid-connected capacity of any period in the N-th power price period is the same according to the cost power price of the non-DER grid connection and the capacity of the RMG energy storage equipment to which the non-DER grid-connected power price belongs, and sign a grid-connected contract with the RMG to which the non-DER grid-connected power price belongs; the grid connection mode is about that the corresponding period of the Nth electricity price period is connected by the RMG agent to which the corresponding period belongs.
3. The VPP optimization scheduling model includes:
according to the electric energy demand in the VPP jurisdiction, each DER bidding and grid connection are carried out, and an optimal scheduling plan solving function is established:
in the formula, cost 1 Operation cost function of interest for CVPP and TVPP, Q 0 The capacity to power the VPP for the centralized power supply,is Q 0 Corresponding costs, C is the fixed operating costs, +.>For LSDER benefit, BQ k Bidding and grid-connected capacity for the kth DER; cost (test) 2 Power grid active network loss function, U, which is focused on CVPP and TVPP i 、U i′ Is the ith, i ′ Voltage of energy node, R ii′ Is the ith, i ′ Impedance of the branches between the energy nodes; cost (test) 3 Voltage deviation degree function of interest for CVPP and TVPP, U 0 The reference voltage of the energy nodes is n, and the number of the energy nodes is n; wherein:
wherein m is k 、n k Bid parameters for kth DER, BQ kmin ,BQ kmax The lower limit and the upper limit of bidding and grid-connected capacity of the kth DER are set, and Deltat is the time period;
normalizing an operation cost function, a power grid active network loss function and a voltage deviation degree function:
wherein v=1, 2,3, cost vmax 、Cost vmin Maximum and minimum values output for the v-th function;
constructing an objective function Cost according to the normalization result:
Cost＝max(A(Cost 1 ),A(Cost 2 ),A(Cost 3 ))
and taking the objective function Cost as a VPP optimal scheduling model.
Embodiment two:
as shown in fig. 2, based on the virtual power plant based on the energy blockchain network provided in the first embodiment, the embodiment of the invention provides a scheduling method of the virtual power plant, which includes the following steps:
s1, responding to self specific identity IDs submitted by energy nodes, and performing identity verification by a block chain model;
the energy nodes are power utilization units and power generation units in the blockchain model, and the specific identity ID of each energy node is used as a unique identity for identity verification added into the blockchain model.
And S2, responding to a verification success signal returned by the block chain model, and enabling each energy node to access historical data and predict self state information.
And S3, responding to the prediction results issued by the energy nodes, and implementing a grid-connected strategy by the DER grid-connected model.
S4, responding to the current state information and the prediction information issued by each energy node, and forming a scheduling scheme by using a VPP optimal scheduling model;
the VPP optimizing scheduling model forms a scheduling scheme and further comprises the steps of verifying the scheduling scheme and publishing after verification is passed; the verification includes that the load of each energy node is smaller than or equal to a preset load threshold.
And S5, responding to the dispatching scheme issued by the VPP optimized dispatching model, and carrying out optimized calculation on the dispatching scheme by each energy node.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (8)
1. A virtual power plant based on an energy blockchain network, wherein the virtual power plant comprises a blockchain model, and the blockchain model is a semi-centralized blockchain with a private chain and a public chain;
the private chain takes VPP as a central node, and independently enjoys the issuing right and the accounting right of the blockchain; the issuing right of the blockchain comprises the issuing right of a new block and the issuing right of corresponding incentive, wherein the calculating task of the new block is issued to DER by VPP according to the calculating requirement of an optimal scheduling plan solving algorithm, the corresponding incentive is virtual currency VPP-coin issued by VPP, the unit value of the VPP-coin is designed to be rated forced grid-connected capacity, and the DER can optimize grid-connected strategy through exchanging the forced grid-connected capacity by the VPP-coin so as to maximize the income of the DER; the accounting right of the blockchain comprises accounting rights of VPP-paint transaction data and blocktechnology data, wherein before the distributed computation starts, DER exchanges transaction data generated by forced grid-connected capacity with VPP by virtual currency VPP-paint and the VPP counts the blockchain; after the distributed computation is started, the technical data generated in the consensus process of the new block is found and is counted into a block chain by the VPP to be used as the excitation distribution basis of the new block;
the common chain is corresponding excitation of new blocks enjoyed by all DERs according to a POW consensus mechanism, and VPPs serving as central nodes do not interfere.
2. The virtual power plant based on an energy blockchain network of claim 1, wherein the blockchain model is to:
before the N-th electricity price period starts, the VPP generates a new block according to the preface block chain and transaction information of virtual currency VPP-coin purchased by the preface block chain, and issues calculation tasks of the preface block chain in real time;
the DER discovers a new block through a POW consensus mechanism and obtains the initial accounting right of the new block;
after the distributed calculation in the current electricity price period is completed, the VPP issues corresponding VPP-coin as incentive to DER which obtains initial accounting rights in the blockchain according to the market holding quantity of the current VPP-coin;
after the N-th electricity price period starts, the VPP coordinates and controls each DER grid connection according to the optimal scheduling plan obtained through distributed computation.
3. The virtual power plant based on an energy blockchain network of claim 2, further comprising a DER grid-tie model and a VPP optimization scheduling model.
4. The virtual power plant based on an energy blockchain network of claim 3, wherein the DER grid-tie model comprises:
in the Nth electricity price period, the grid-connected strategies of the RMG and the LSDER comprise forced grid connection and competitive bidding grid connection;
the forced grid connection means that the kth DER exchanges the forced grid connection capacity with virtual currency VPP-coi, the VPP ensures a grid connection mode meeting the forced grid connection requirement of the DER, and the transaction electricity price of the forced grid connection capacity is the actual cost electricity price of the VPP in each period of the Nth electricity price period;
the bidding and grid connection refers to a bidding curve of price and output of the kth DER, and the VPP decides a grid connection mode of grid connection capacity and electricity price according to the bidding curve;
the grid-connected strategy of the SSDER is to decide that the grid-connected capacity of any period in the N-th power price period is the same according to the cost power price of the non-DER grid connection and the capacity of the RMG energy storage equipment to which the non-DER grid-connected power price belongs, and sign a grid-connected contract with the RMG to which the non-DER grid-connected power price belongs; and the grid connection mode is a grid connection mode of the RMG agent grid connection to which the grid connection mode belongs in the corresponding period of the Nth electricity price period.
5. The virtual power plant based on an energy blockchain network of claim 4, wherein the VPP optimization scheduling model includes:
according to the electric energy demand in the VPP jurisdiction, each DER bidding and grid connection are carried out, and an optimal scheduling plan solving function is established:
in the formula, cost 1 Operation cost function of interest for CVPP and TVPP, Q 0 The capacity to power the VPP for the centralized power supply,is Q 0 Corresponding costs, C is the fixed operating costs, +.>For LSDER benefit, BQ k Bidding and grid-connected capacity for the kth DER; cost (test) 2 Power grid active network loss function, U, which is focused on CVPP and TVPP i 、U i′ Is the ith, i ′ Voltage of energy node, R ii′ Is the ith, i ′ Impedance of the branches between the energy nodes; cost (test) 3 Voltage deviation degree function of interest for CVPP and TVPP, U 0 The reference voltage of the energy nodes is n, and the number of the energy nodes is n; wherein:
wherein m is k 、n k Bid parameters for kth DER, BQ kmin ,BQ kmax The lower limit and the upper limit of bidding and grid-connected capacity of the kth DER are set, and Deltat is the time period;
normalizing an operation cost function, a power grid active network loss function and a voltage deviation degree function:
wherein v=1, 2,3, cost vmax 、Cost vmin Maximum and minimum values output for the v-th function;
constructing an objective function Cost according to the normalization result:
Cost＝max(A(Cost 1 ),A(Cost 2 ),A(Cost 3 ))
and taking the objective function Cost as a VPP optimal scheduling model.
6. A method of scheduling a virtual power plant, wherein the virtual power plant is a virtual power plant based on an energy blockchain network as defined in any one of claims 1-5; the scheduling method comprises the following steps:
responding to the self specific identity ID submitted by each energy node, and carrying out identity verification by the blockchain model;
responding to a verification success signal returned by the block chain model, and each energy node accesses historical data and predicts own state information;
responding to the prediction results issued by all energy nodes, and implementing a grid-connected strategy by the DER grid-connected model;
responding to the current state information and the prediction information issued by each energy node, and forming a scheduling scheme by using a VPP optimal scheduling model;
and responding to the dispatching scheme issued by the VPP optimized dispatching model, and carrying out optimized calculation of the dispatching scheme by each energy node.
7. The method for scheduling a virtual power plant according to claim 6, wherein the energy nodes are a power unit and a power generation unit in a blockchain model, and a specific identity ID of each energy node is used as a unique identity for identity verification added to the blockchain model.
8. The method for scheduling virtual power plants according to claim 7, wherein the forming of the scheduling scheme by the VPP optimization scheduling model further comprises verifying the scheduling scheme, and issuing after the verification is passed; the verification includes that the load of each energy node is smaller than or equal to a preset load threshold.
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