A charging, swap and storage integrated power station microgrid optimization scheduling method based on a non-cooperative game

Abstract

The invention discloses a charging, swap and storage integrated power station microgrid optimization scheduling method based on a non-cooperative game. The method comprises the steps of constructing apower generation model containing a photovoltaic, wind power, a lead-acid storage battery and a diesel generator; collecting the illumination intensity, temperature and wind speed of the microgrid inthe future day and the load information of the integrated power station, and solving the output condition of each unit according to the model in the step 1; Constructing an upper-layer micro-grid economic operation model with the maximum micro-grid side power generation profit to obtain the marginal cost of micro-grid power generation; Constructing a lower-level integrated power station economicoperation model with the minimum expenditure and dissatisfaction of the integrated power station; Bringing the marginal cost and the requirements of the integrated power station into a game utility function, and optimizing the operation of the integrated power station by using a sliding window method; performing an interactive game between the microgrid and the integrated power station to obtain atime-of-use electricity price and an output curve of each unit; and judging whether the load deviation is smaller than the previous optimization load deviation or not. According to the method, economic optimization of the microgrid and the charging, replacing and storing integrated power station is finally achieved when power balance is achieved.

Description

technical field [0001] The invention relates to a micro-grid coordination optimization scheduling method, in particular to a non-cooperative game-based charging-swap-storage integrated power station micro-grid optimal scheduling method. Background technique [0002] The integrated power station that integrates the functions of charging station, swap station, and storage station is the main development direction of future electric vehicle functional facilities. The integrated power station plays the dual role of energy supplier and consumer at the same time in the power system. And with the promotion of electric vehicles, the scale of integrated power stations continues to expand, and this identity is becoming more and more obvious. Therefore, it is necessary to study the energy coordination dispatch between the integrated power station and the microgrid, consider the overall load demand of the microgrid, and reasonably dispatch the power flow between the charging and swappi...

AI Technical Summary

Problems solved by technology

[0003] At present, energy optimization mostly adopts the traditional multi-objective optimization algorithm, and usually a set of multiple optimal solutions can be obtained for decision makers to choose, but it is often affected by human bias, lacking the flexibility and intelligence of the microgrid. There is a lack of in-depth research on the impact of the load demand of chemical power stations on the microgrid optimization strategy

Images