Coordination Optimal Dispatching Of Regional Power Grid With Electric Vehicles Based On Principal And Subordinate Game

With the increasingly serious energy crisis and environmental pollution problems,developing green, economic and clean energy has already become the focus of research in the world governments and enterprises. Electric vehicles have gained attention because of its energy efficiency, environmental protection of economic and environmental benefits. Through V2G (Vehicle to Grid) technology, the broad accesses of electric vehicles, it is possible to fully bring into force the electric vehicles' function of spinning reserve, peak load clipping, etc. We cannot ignore that the increasing electric vehicles charging and discharging randomly due to the influence such as "peak and peak", network loss increase, etc. Therefore, how to realize the electric vehicles charging and discharging economically , reasonably and effectively, it's an urgent problem to solve.Based on the game theory, considering the incentive of time-of-use price in this thesis,coordination optimal dispatching of regional power grid with electric vehicles is established and analyzed. With the purpose of providing more schemes for large-scale electric vehicles accessing to power grid, and the main contents of this thesis are as follows:In the first place/, this thesis analyses the charging and discharging behavior of electric vehicles, impact of electric vehicles accessing to power grid. And then simply introduces the basic concept of game theory, raises the ideas of engineering game theory. The economy-friendly charging and discharging strategies of the electric vehicles in the power systems are dependent on the stipulation of the time-of-use price. With pertinence to the different positions of time-of-use price and electric vehicles in the scheduling process, a leader-follower model for the dynamic game optimization of the decision-makers of both parties is established. And providing the basis for the strategy of large-scale electric vehicles and the establishment of reasonable time-of-use price.In the second place, on this basis, a leader-follower model is established in this thesis. The main body of the model is the Time-of-use price, and the subordinated bodies of the model are electric vehicles. It regards the maximization of equivalent load variance, user cost as the optimization objectives. For the electric vehicles have a strong uncertainty in time and space,this thesis presents a leader-follower model which considering the uncertainty of electric vehicles, and based on linear duality theory of equivalent transformation.Finally, using the model decoupling and in combination of the particle swarm optimization and the dual optimization of relaxation algorithm , this thesis seeks the solution of the nash equilibrium point from inside to outside. It conducts simulations on the mentioned model through the examples so as to verify the economic benefits and security benefits of the optimization model of leader-follower game. The results show that: Electric vehicles is possible to bring about the function of peak load clipping effectively, smooth power grid load fluctuations, bring in revenue for owners, provide the basis for the establishment of time-of-use price. And uncertainty method is more superiority than certainty method.