An information architecture of state monitoring substation equipment system is proposed based on IEC 61850 and IEC 61970. Asubstation equipment state monitoring and integrating platform (CMIP) supporting the unified information model and unified communication interface is designed and implemented. In this platform, comprehensive condition information of both the primary equipment and secondary equipment can be conveniently gathered and shared with other application systems.
In order to avoid the adverse effects of the grid caused by disorder large-scale electric vehicles and improve supporting function of energy storage battery on the power grid, interaction model of electric vehicles (EVs) and the power grid is constructed according to a master-slave game method. Then, the utility functions of each participant are established, and the dynamic constraints of the batteries for EVs are established considering the travel demand of users. Then, based on the YALMIP/CPLEX solver, the optimal response strategy of the EVs can be obtained, and the genetic algorithm is used to solve the Nash equilibrium solution of the master-slaves game model. Moreover, the Monte Carlo method is employed to simulate the user travel data and the basic parameters of EVs in a certain area. Based on these data, the optimal time-of-use price in this area is offered, and the optimal response strategy of EVs under this price is analyzed. Finally, the study of the case show that the proposed game model can make the strategies of both the EVs and the grid, which can restrict the load fluctuation of the grid and improve the benefit of EVs without affecting their travel.
In retail electricity market environment, it is important for electric power providers to analyze and master their characteristics of dynamic behavior. Recently, in the dynamic behavior study field, the dynamic modeling of electricity market and the stability condition of market equilibrium have been studied. However, in existed dynamic models, some assumptions out of accord with actual electricity market are made. In addition, the dynamic behaviors of electricity market are not analyzed when market does not have market equilibrium or is out of the stability region. Therefore, in order to more accurately model the behaviors of electric power providers, the dynamic Cournot game model is proposed in this paper. With the proposed model, the dynamic behaviors of electricity power providers are analyzed qualitatively and simulated numerically in different market parameters, in which the chaotic behaviors are focused when the market parameters are out of the stability region of the Nash equilibrium.Index Terms--Cournot game, chaotic behavior, dynamic model, electric power provider, retail electricity market.
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