International Core Journal of Engineering 2020-26 | Page 33

C. Data sharing among multi agents
The future development direction of demand response is
mainly detailed.
them up. The washed primary structured storage data is
aggregated to generate the secondary structured storage data,
and the classification mark is made as the shared label on
the secondary structured data. The shared members give
their own API interface for the shared data according to
their own data characteristics, and then enter the S3 stage.
1)Automatic demand response. It will change the way
users use electricity, provide effective node resources for
power planning, and reduce system operating costs.
3) Data communication stage S3: In this stage, each
node participates in data sharing to initialize and configure
the nodes. Each node organizes each node into a regional
autonomous alliance by signing the alliance treaty through
the data communication module, and each node in the
regional autonomous alliance generates an identity
containing the unique identity of the node. Identifying data
blocks, each node broadcasts its identity data blocks in the
regional autonomous alliance in chronological order. The
system stores the identity data blocks of each node in
chronological order to generate the original data blocks of
the alliance by chain storage, and stores the original data
blocks in the nodes of the regional autonomous alliance.
And then enter the S4 stage.
2)Power demand side bidding. Users bidding according
to their demand curve and provide demand bidding curve,
users can increase or reduce load demand through bidding,
making the bidding parties profit.
3)Distributed flexible transactions. Distributed electricity
transaction can reduce electricity price and optimize resource
allocation. At the same time, it can form an effective
competition mechanism and reduce the third-party costs by
adopting the changeable transaction mode. It is also
conducive to the reform of power dispatching and power
supervision system.
To sum up, in the multi-agent demand response
mechanism, the fusion of information sharing and data
resources integration is very important. As a collectively
maintained distributed and shared database, blockchain has
the characteristics of open data, real-time and transparent
sharing. It is an important supporting technology to break the
"isolated island" of energy information and realize energy
information exchange. Blockchains can provide a data
security protection system with high security, anti-attack and
strong repairability for energy information. The security of
user privacy and system data based on blockchain
technology is of great significance to ensure the high
sustainability of energy data and solve the core defects of the
distributed system. Therefore, under the trend of deep
integration of Information-Physical systems in blockchain
energy network and the increasingly prominent influence of
information system security on energy physical systems,
blockchain energy will play a significant role in the security
of information physical systems. The main processes are
shown in Figure 4.
Sharing model
S1
data processing data communication
S2
S3
consult
S4
Node judgment
S5 data sharing
S6
If it is a regional
member Whether
node voting
agrees to
data sharing
4) Negotiating whether new nodes are allowed to join
the S4 stage: in this stage, when a new external node sends
an application to a node of the regional autonomous
Alliance for joining the alliance, the application for joining
the alliance is broadcast in the regional autonomous alliance,
and the nodes of the regional autonomous alliance decide
whether to agree to the application, if the application is
negotiated. If yes, the node's parameter information is stored
and a new data block is added to the tail of the original data
block to form a new blockchain, which is broadcast in the
regional autonomous alliance and stored in each node. If the
negotiation result is "no", the rejected result is carried out in
the regional autonomous alliance. Broadcast and then enter
the S5 stage.
5) Judging whether the node issuing the data sharing
request is a member of the regional autonomous alliance in
the S5 stage: In this stage, when a node in the regional
autonomous alliance receives the data sharing request, the
data sharing module of the node decides whether the node
issuing the sharing request is a member of the regional
autonomous alliance, if the result is "Yes", then the data
sharing module shares the data of the members of the
regional autonomous alliance, records the access operation
with timestamp, broadcasts the access operation with
timestamp in the regional autonomous alliance periodically,
and adds it to the end of the regional autonomous alliance
blockchain to form a new blockchain, and in the region if
the matching is unsuccessful, the node that issued the
sharing request does not belong to the member of the
regional autonomous alliance, and then enters the S6 stage.
Start
Data
processing
module
construction
Form a
structured
storage data
Node
initialization
configuration
Cleaning data
Data
communication
module
construction
Data sharing
module
construction
Forming
secondary
structured
storage data
Develop
classification
markers
Broadcast
identity
Store raw data
blocks in
federated nodes
There are new
nodes to apply
to join the
alliance
Yes
Broadcast
node
application
Whether the
negotiation
passed
Yes
data sharing
Yes
Data sharing
no
o
Stamp time
stamp and
broadcast
Stamp time
stamp and
broadcast
End
Fig.4. The flow diagram of the participant's interaction of demand
response information using blockchain
6) Judging whether to allow the non-regional
autonomous coalition node data sharing stage S6: In this
stage, each node of the regional autonomous coalition
makes a decision on whether to allow the sharing request, if
the number of nodes in the regional autonomous coalition
allowing the sharing request is less than half of the total
number of nodes, then reject the data sharing request,
otherwise allow the data sharing operation, and record the
data sharing operation with timestamp, generate data
operation block, broadcast the data operation block
throughout the network, all nodes of the regional
autonomous alliance to determine the correctness and
validity of the data operation block if all nodes of the
1) S1 stage of data sharing model: In this stage, a data
sharing model is built on each shared node, which includes
data processing module, data communication module and
data sharing module, and then into S2 stage.
2) Stage S2 of data processing: In this stage, each node
that participates in sharing collects and aggregates the data
under its jurisdiction by itself using the data processing
module to form a structured storage data, cleans the
structured storage data, removes the duplicate data and
invalid data from the structured storage data, and clears
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