Abstract
This paper presents an integrated route planning algorithm to provide optimal routes and corresponding charging schemes for EVs (Electric vehicles) users with different travel objectives based on spot price and traffic conditions. With the development of EVs, more users are facing difficulties to find a charging route that satisfy their demands. To solve the problem, the route planning algorithm is improved based on classified travel objectives, meanwhile the spot price forecast model is established to provide the user's economic assessment. Firstly, the classification of user's travel objectives is completed and the evaluation indicators are proposed. Secondly, a time-window electricity price forecasting based on the GRU (Gated recurrent unit) neural network is established to generate pricing information for route planning algorithm. Finally, SAA (Simulated annealing algorithm) is combined with A* (A-star) algorithm and Dijkstra algorithm to gain the integrated route planning algorithm. Also, the algorithm provides the users with optimal charging paths considering travel objective and price prediction. The results of the optimal routes are displayed on App (application) so that the users can choose their own charging paths and control EV's charging at any time. The simulations prove the effectiveness and accuracy of the proposed algorithm.
Highlights
The large-scale access of renewable energy vehicles has brought new loads with great fluctuation to the power grid [1]
Facing charging period and specific pricing system, it is necessary to formulate an independent route planning scheme emphasized on the individual users, traffic network and grid information [6], [7]
Suitable route planning can specify the impact of electricity price on users
Summary
The large-scale access of renewable energy vehicles has brought new loads with great fluctuation to the power grid [1]. For this reason, many researchers regulate the charging tendency by controlling price or demand-side means like V2G (Vehicle-to-grid), which can satisfy different sides such as grid interests, user interests or load stabilization [2]–[5]. Facing charging period and specific pricing system, it is necessary to formulate an independent route planning scheme emphasized on the individual users, traffic network and grid information [6], [7]. Suitable route planning can specify the impact of electricity price on users. The impact of charging load on distribution network
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