The Study Of Models And Theory Researches Of Optimization Of Demand And Supply In Smart Grid

Nowadays, China has rapid development in economy, on the one hand, better living standards and new power services promote an increasing demand for electricity, on the other hand, the growth rate of China’s energy supply is restricted by resources, the environment, and other factors. The contradiction between the growing electricity demand and the limited energy supply growth led to the shortage of electricity. In order to meet the electricity needs in the restricted power supply conditions, the optimization studies of demand and supply is needed. Demand side management is designed for achieving balance between them and it can optimize resource allocation, ensure the power system stability, improve and protect the environment. The International Energy Agency launched the IEA-Demand Side Management project, addressing load management, energy efficiency, policy protection and other issues.Based on this, the focus of this study includes:a summary description of the concepts of domestic smart grid and demand response, a smart grid demand response model and the optimization issue of communication system in demand response. Finally, this study develops a smart microgrid platform and some experiments are conducted in this platform to assess the effectiveness of demand response program. The main contribution of this paper consists of the following three aspects:First, the demand response model with two-ways flow of information in smart grid. Unidirectional flow of information in traditional grid restricts the interaction between the power companies and users, which results in an ordinary demand response program. Compared with traditional grid, smart grid has more advantages with the two-ways flow of information. Based on this, we study new demand response programs in a smart grid environment.Second, the optimization of communication system in smart grid demand response. The optimization of communication system will become an important problem in demand response with the grave development of smart grid. This paper establishes a real-time pricing model, communication cost model and model the communication cost problem as a Markov decision process, which proposes the optimization problem of smart grid communication system.Third, microgrid simulation platform. A microgrid platform is established, which involves electrical engineering, electrochemistry, electronic communications, management engineering, etc. This paper conducts several experiments in this microgrid platform to validate the effectiveness of demand response programs.Finally, a conclusion is summarized and the future directions in design and implementation are pointed out.