Electric vehicle discharging electricity price negotiation method based on fuzzy Bayesian learning

Abstract

The invention relates to an electric vehicle discharging electricity price negotiation method based on fuzzy Bayesian learning, and belongs to the intelligent power grid field. An electric power company and EV agent negotiation function is established, and various parameters are categorized and analyzed. The cost of the electric power company invoking a standby generator unit is used as the maximum value of the electric power company invoking the EV (electric vehicle), and by combining with the power of the electric power company invoking the EV, a relation between the upper limit of the EV invoking acceptable to the electric power company and EV network access power is acquired. Charging price, battery loss, and lowest expected revenue are calculated from the perspective of the EV, and are used as the lower limit of the EV participating in the system scheduling, and then a bilateral negotiation function is established. Another limit value of the electric power company and the EV agent is estimated based on a fuzzy probability idea, and the learning correction of the estimated parameter is carried out based on a fuzzy Bayesian learning model, and the electricity price is acquired by the negotiation function. Under a precondition of considering the benefits of the electric power company, the electricity price acquired by adopting the above mentioned method is closer to a theoretical equilibrium point by comparing with conventional methods, and EV users can gain more benefits, and the behaviors of the users are effectively stimulated during V2G early-stage promotion.

Description

technical field [0001] The invention belongs to the field of smart grids and relates to a method for negotiating electric vehicle discharge electricity prices based on fuzzy Bayesian learning. Background technique [0002] With the increasing attention to energy and environmental issues in today's society, and the recent rapid development of battery technology, the large-scale promotion and application of electric vehicles is facing new opportunities. At the same time, the integration of electric vehicles into the grid has also become a research hotspot. However, electric vehicles as a daily load may increase the burden on the grid and require additional infrastructure investment. In response to this problem, a large number of literatures have emerged to evaluate the feasibility of electric vehicle grid (vehicle-to-grid, V2G). The timing characteristics of the charging load of electric vehicles have an important impact on the operation and investment of the power system. I...

AI Technical Summary

Problems solved by technology

However, the current domestic and foreign research is almost all on the charging price of electric vehicles, and there are few studies on the charging price of electric vehicles.

Moreover, when the existing research mentions the price of discharge electricity, most of them use the method of directly assuming the electricity price to solve the dispatching model or only give a general research direction, and there is no specific method and idea

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