Subject ： Research on the smart home demand response system based on
electricity price in the blockchain environment
Speciality：
Name ：(signature)
Instructor：(signature )
ABSTRACT
In recent years, with the development of the Internet of Things, cloud computing,
big data, artificial intelligence and other technologies, the realization and application
of smart home has become more convenient and popular. Smart home is also
constantly to the intelligent, automation, humanization and security direction
development. At the same time, blockchain technology has also been widely used in
the field of the Internet of Things. In the field of smart home, blockchain technology
can be used to ensure the communication security and data privacy between smart
home devices, and can also establish a trust mechanism, so that various devices can
cooperate with each other and share resources. However, at present, the application of
the combination of smart home demand response system and blockchain technology
is still relatively few. With people's increasing demand for smart home demand
response system and blockchain technology, the application prospect of the
combination of these two technologies is very broad in the future.
Based on this, this paper on the block chain environment intelligent home
demand response system research, aims to put forward a kind of intelligent home
electricity trading mode based on block chain technology, according to the micro
network game power trading strategy guarantee low cost, for intelligent home demand
response system distributed electricity trading mode to provide reference. Starting on
the smart home demand response, this paper proposes a real-time demand response
algorithm based on master-slave game. By establishing the virtual electric energy
trading model, the algorithm considers the game process between the leader (energy
management) and the follower (smart home appliance), and obtains the game balance
point namely Nash equilibrium through mathematical analysis and backward
induction. Second, put forward double interaction scheduling scheme, respectively
establish micro network internal power optimization model and micro network for
game based on game model, and through the simulation examples, analyzes the micro
