Multi-benefit subject coordination game scheduling method considering EV vehicle owner willingness

Abstract

The invention relates to a multi-benefit subject coordination game scheduling method considering EV vehicle owner willingness. The method comprises the steps that S1,establishing an EV load polymer charging scheduling model wherein the EV load polymer charging scheduling model comprises an EV access moment and driving probability model, an EV cluster charging model and an EV vehicle owner willingness probability function model; S2, according to the established EV load aggregate charging scheduling model and the distributed power supply model, establishing a master-slave non-cooperative game model of a power distribution network, a lower-level EV load aggregate and a distributed power supply benefit subject to carry out day-ahead optimal scheduling; and S3, performing intra-day real-time optimization scheduling based on peer-to-peer cooperative games of the lower-level DGs and the load aggregate main bodies under the time-of-use electricity price determined by day-ahead optimization andthe basic strategy of each main body. Through two-stage game scheduling, the reactive power regulation capability of the distributed power supply can be fully stimulated, so that the safe and stableoperation of the power distribution network can be consciously maintained when multiple benefit subjects chase own benefits to be maximized.

Description

technical field [0001] The invention relates to the field of power system optimization dispatching, in particular to a multi-stakeholder coordination game dispatching method considering the will of EV vehicle owners. Background technique [0002] The fossil energy crisis and its resulting greenhouse effect and air pollution have made electric vehicles attract the attention and attention of various research institutions and government departments. For this reason, countries around the world have rushed to introduce relevant policies to promote the electric vehicle (electric vehicle, EV) industry. develop. However, large-scale EVs connected to the active distribution network for disorderly charging will lead to the problem of "peak-on-peak" power load, which will endanger the safety and economic operation of the power system. At the same time, with the continuous opening up of the electricity market, distributed power sources and EV load aggregates connected to the active dis...

AI Technical Summary

Problems solved by technology

[0003] For the scheduling problem of electric vehicles connected to the distribution network, under the large-scale EV cluster connection, the traditional single EV model will cause the dimension explosion of variables, which is not conducive to calculation and solution

At the same time, most methods directly manage the charging and discharging of EVs, without fully considering the interests of car owners. To solve this problem, some methods consider the interests of car owners by constructing car owner satisfaction functions, but this method requires car owners to provide many indicators such as departure time and preference. information, but this method still does not fully consider the willingness of car owners to charge EVs

On the other hand, in multi-stakeholder transaction scheduling, the time-of-use electricity price is used to motivate multi-stakeholders. Although the safety and stability of the active distribution network can be guaranteed to a certain extent, it is difficult to motivate DG to actively adjust reactive power. The common micro-grid bidding and clearing method can easily lead to disorderly bidding and double uncertainty of quotation and power generation, which will endanger the stable operation of the distribution network, so it is not suitable for the coordinated dispatch of the distribution network

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