The Energy Scheduling Approach Of PHEV Based On Game Theory

As a foundation infrastructure, power grid is one of the national development industry. Dou to the fast development of social and economic, the growing demand of electric power, the booming market of clear energy, traditional power grid faces two big challenges. First, the expansion of power grid infrastructures is due to great fluctuation of electricity demand, and load unbalance. Second, the management and control method of traditional power grid is relative outdated, which can not maintain the demand growth and has poor robustness. In order to cater the development of future, the power system in china should fulfill requirements of uneven distribution of generation resources, uneven development of economy, improving the capability of electric transmission, and prompting the transmission technology in long distance and high-capacity. Establishing the joint power grid system with an integrated management by improving the coordinate dispatching and united planning.Smart grid is based on the traditional grid and applying the advanced computing technology, electric infrastructure, advanced unites, and so on. We improve the power grid by employing the technology of communications, automation, and so no. Smart grid has four basic features:informatization, digitization, automation and interaction. It can collect the real time date, then integrate, share and utilize the globe information. Through the technology of automation, smart grid improves its capability in generation, distribution and transmission.The demand respond management has been researched many years. Especially it plays an important role in the background of smart grid. Power grid suffers great burdens from the sustainable growth of electricity consumption, renewable energy access and the population of electric vehicle (EV). In order to overcome the defects of traditional equipments, decrease the generation cost, and further improve and realize the optimization of demand response management, the main works in this paper includes the following parts.1. We analyzes and explains the huge effects on the power grid and generation costs as the results of ever-increasing energy demand, renewable energy accessing and uncontrolled charging of EVs. The research includes EV charging behavior analyze, discussion of potential advantages from manageable EVs charging behavior.2. By utilizing the police of dynamic price, we can introduce the marketization into EVs charging scheduling. On the one hand, smart grid can participate in the energy consumption by setting up dynamic price. It can encourage EV user adjust charging behavior spontaneous according to the requirement of power grid. On the other hand, user can obtain the benefits from charging management, meanwhile, meet the energy consumption requirement.3. In the macro-control of power grid, the relationship between EVs can be either cooperation or competition, which forms micro-economy in power market. Game theory can be employed to analyze and study the utility of EVs user in different charging polices. It can obtain the conclusion of potential benefits from charging cooperation. The research presents some advices to the management strategy development.Simulation shows us the effects on real-time operation management of proposed demand response management approach and also achieves the target of balance load, save generation cost and improving user satisfaction. Through comparing cooperation policy and non-cooperation policy, we can conclude that the policy of dynamic price has positive effect on inducting EVs charging behaviors. It can also illustrate that EV user participation in the demand respond management system can bring the economic benefits to the power grid. Finally, the coalition game results presents that the cooperation relationship between EV users can further improve the utility of both grid and itself.