Research On Residential Users' Smart Power Consumption Strategy Based On Non-cooperative Game And Multi-object Optimization

As the environmental problem increasing seriously, the voice of developing clean and efficient energy has become rising, the task of energy conservation and emission reduction for power grid has become more and more difficult. In order to adapt to the development of society and economy, Chinese government vigorously promote construct smart grid. Smart power consumption is one of the key parts of power generation, transmission, substation, distribution and utilization for smart grid, has always been a hot research topic in the construction of the smart grid. With the improvement of people's living standard, the proportion of residents' power consumption is increasing, and the concern for smart power consumption of residents is also growing. It can be said that the smart power consumption of residential user directly reflects the intelligent level of the whole power system and becomes the main motivation to promote the development of smart grid. This paper studied and analyzed smart power consumption for single user and intelligent community users with distributed PV power in smart grid.Firstly, according to the technical conditions of the smart grid, a household smart power consumption system is constructed and its work process is expounded. The hardware condition and electricity price mechanism for implementing smart power consumption are discussed. The motivation for user to participate in smart power consumption is demonstrated from two perspective that user want less spending in electricity bill and willing to comfortable and convenient.Secondly, for single user, on the one hand, considering his electricity expenses, characteristics of household appliances are analyzed and operation constraints are established, then the electricity bill model for user in real-time electricity price environment is established. On the other hand, the satisfaction of utilizing electricity is defined according to the pursuit comfort feature of residential user. The non-scheduling coefficient is introduced into the model to distinguish the dependence on the different electrical appliances, and is solved by fuzzy analytical hierarchy process. Then comprehensively considering the two features of utilizing electricity, a multi-object optimization of smart power consumption model with satisfaction for residential user is proposed. The multi-objective evolutionary algorithms which based on the decomposition(MOEA/D) is used to solve it. The numerical example illustrates the model is efficient.On the basis of analyzing single user's smart power consumption, the smart power consumption system for multi-user community which has distributed photovoltaic power is constructed. First of all, the revenue model of distributed photovoltaic power and its price which is conducive to eliminate PV power on the spot is established. Secondly, the community users' power consumption model is established through cluster analysis according to their characteristics. Finally, an intelligent community power consumption model based on non-cooperative game is proposed from two levels of PV power and users in the community. To be specific, it uses the PV electricity price as a lever to motivate users to implement the optimization power consumption individually. Then through the game to seek Nash equilibrium point, to achieve the balance between maximum benefit of PV power and minimum electricity bill for users. Numerical example results show that the model can not only be used to achieve the maximum benefit of PV power, but also allow users to meet their own needs while reducing the cost of electricity.