This paper firstly proposesa method for modeling charging/swapping load distribution of electric taxi. With this method ， Monte Carlo Method and Dijkstra Algorithm are adopted to simulate the electric taxi's operation behavior based on the analysis of its operation characteristics. Then facility optimization model is proposed to minimize the life circle cost (LCC) of charging/swapping facilities and the time value of electric taxi under the constraints of queuing model and the price spread between oil and electricity. Finally, a practical example is carried out to demonstrate the performance of the modeling method and facility optimization model.
This paper presents an electric vehicles (EVs) operation simulation system based on multi-agent system using Java Agent DEvelopment Framework (JADE) for various studies on EVs. Most players, such as the government, the power grid, the electric vehicle owners, charging station operators and parking lot operators, involved in the EVs operation could be studied in this simulation system. Moreover, this simulation system allows users modifying existing agents and adding new agents to expand it due to its open architecture. We discussed the design of this simulation system in detail. Finally, a simple electric buses case was simulated to test the functionality of the simulation system.
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