| With rapid development of economic society and the improvement of people's standard of living,the demand and quality of the electric power is increasing.The construction of smart grid relieves the tight situation of supply and demand of electric power effectively,through encouraging users to interact with power grid in real time and participate in demand response mechanism orderly.The major tasks of this paper include the following aspects.1.Making a study on electric power demand response and electricity price.Firstly,the importance of demand response in power grid is analyzed.Secondly,the calculation of the electricity price is introduced.Also,we set up the formulation of real-time price which is based on the game between power grid and users,and proved the rapidity and effectiveness of it.2.A optimization model of smart home power consumption was built and the model is verified in MATLAB We establish a nonlinear mathematic model of smart home power consumption planning which sets running state of household electricity load in each time period as a variable and selects the actual running time of electrical equipment as a measure of electricity satisfaction of users.The search ability of the algorithm is strengthened,through integrating annealing algorithm into improved genetic algorithm in the solution of household electrical equipment planning.Then we test the effectiveness of the algorithm through MATLAB simulation platform.3.A validation platform was designed.The overall design of validation platform is introduced according to the related functional requirements analysis of smart home power consumption,and the design of hardware circuit and software program are implemented.To improve the communication reliability in the process of actual debugging process of the platform,we present an improved method which aimed at the problems in serial communication. |
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