Real-time and orderly scheduling method for electric vehicle aggregator with consideration of user participation

Abstract

The present invention relates to a real-time and orderly scheduling method for an electric vehicle aggregator with the consideration of user participation, belonging to the field of smart grids. The method comprises the steps of (S1) analyzing an electric vehicle user to declare various information, (S2) using an optimized combination weighting method to establish an index evaluation system modelof the electric vehicle aggregator and solving the model, and obtaining index weights and a comprehensive evaluation value, and (S3) considering the management and adjustment of the scheduling capacities of the vehicles such that actual output / load is close to a given scheduling plan of a grid as possible. According to the method, the influences of multiple indicators of the electric vehicles on the scheduling plan can be comprehensively considered, and an ordered scheduling strategy in an electric vehicle aggregator of an agent side is proposed.

Description

technical field [0001] The invention belongs to the field of smart grids and relates to a real-time and orderly scheduling method for electric vehicle clusters taking into account user participation. Background technique [0002] In the interactive coordination and scheduling problem of electric vehicles and the power grid, many studies have shown that under the market mechanism, a certain number of electric vehicles are aggregated to form a cluster (EV Aggregator) and The network operation mode can reduce the cost of car owners. [0003] At present, a large number of studies discuss how electric vehicle clusters play a role in power system dispatching, and a reasonable and orderly dispatching strategy is formed by the aggregation of individual vehicle behaviors, but each electric vehicle is directly dispatched by the grid power dispatching center It is unrealistic, so some scholars have proposed a hierarchical partitioning scheme, that is, the power system is layered accor...

AI Technical Summary

Problems solved by technology

However, there are few studies on V2A at present, and they are usually discussed based on the mechanism of time-of-use electricity price. At this stage, existing research has conducted a detailed analysis of the impact of real-time electricity price and time-of-use electricity price on the charging and discharging strategy of electric vehicles, and through Examples point out that when electric vehicles participate in grid interaction (V2G) charging and discharging behavior and adopt real-time electricity prices, users will adjust their own electricity consumption time to seek the maximum benefit, so that in terms of load control, the direct control of the power supply company becomes the user's Actively participate in load control, so the V2G revenue obtained is greater than that obtained under the condition of time-of-use electricity price, and there is enough economic space to manage orderly charging and discharging through the realization of the intermediate organization Aggregator, but the analysis covers less Complete

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