Full
Outline
To mitigate the impact of centralized Electric Vehicle (EV) charging on the power grid, this study proposes an optimal EV scheduling strategy driven by dynamic electricity pricing, aiming to reduce users'comprehensive charging costs and achieve peak shaving and valley filling of the grid. First, a travel chain model based on naive Bayes is constructed to generate detailed information on future trips of users in the target area using historical travel data. Then, user trip information is combined with an established energy consumption model and a charging decision model to obtain the spatiotemporal distribution of regional charging load. Later, a dynamic electricity pricing model is established to describe the relationship between electricity prices and grid load. Subsequently, with the objective of minimizing charging costs and battery aging costs, a genetic algorithm is adopted to solve and update the EV charging and discharging strategies in real time throughout the day. Simulation results show that the travel chain data generated Its optimization strategy can effectively reduce user costs, achivev grid peak shaving and valley filling and provide a theoretical basis and control method for efficient coordination between electric vehicles and the power grid.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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