A Robust Optimization Method for Guided Orderly Charging of Electric Vehicles

Abstract

The invention relates to a robust optimization method for guiding orderly charging of electric vehicles. The method comprises the following steps: (1) establishing a time-of-use electricity price response model for electric vehicle users; (2) establishing the charging load of electric vehicles after implementing the time-of-use electricity price (3) Establish an orderly charging model of electric vehicles considering demand-side response and wind power output; (4) Consider the uncertainty of wind power output, and obtain a robust optimization model for orderly charging of electric vehicles; (5) Use quantum particle swarm optimization algorithm Optimizing and solving the models in steps (3) and (4) to obtain each period division and corresponding time-of-use electricity price; (6) guiding users to charge according to the period division and corresponding time-of-use electricity price. Compared with the prior art, the invention can effectively guide the user to select the initial charging time, optimize the charging load of the electric vehicle, and realize the function of filling the valley of the regional power grid.

Description

technical field [0001] The invention relates to a method for guiding electric vehicles to charge, in particular to a robust optimization method for guiding electric vehicles to charge in an orderly manner. Background technique [0002] Electric vehicles and new energy power generation have developed very rapidly in recent years, bringing new opportunities for human beings to solve energy crisis and environmental pollution problems. brought new challenges. On the one hand, the temporal and spatial distribution of renewable energy such as wind power and solar energy is highly volatile and intermittent. As the penetration rate of renewable energy continues to increase, it is necessary to stabilize the uncertainty of its output and efficiently absorb such intermittent energy. It is already a priority. On the other hand, when electric vehicles are connected to the grid for charging on a large scale, there will be phenomena such as "peak on top of peak", increase in system opera...

AI Technical Summary

Problems solved by technology

Direct control needs to frequently adjust the charging power of the charging pile, which will have a negative impact on the life of the battery and charger, so it is difficult to obtain user support and practical application

[0004] In terms of dealing with the uncertainty of new energy output, methods such as probability estimation or historical data deduction analysis are mostly used. These methods have the disadvantages of large amount of calculation and difficulty in guaranteeing calculation accuracy.

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