Study on Guidance Scheduling Strategy for Clean Energy Self-consistent Charging on Expressway
Addressing the lack of effective guidance scheduling strategies for electric vehicle charging in service areas,and the issues about self-consistent rate of clean energy,this study employs graph theory to establish a typical travel scenario including electric vehicles,expressways,and service areas.It constructs an optimal charging guidance scheduling model.The comprehensive cost to users and the clean energy self-sufficiency rate of electric vehicles in service area are as constraints.For the multi-peak function optimization problem in electric vehicle charging guidance,an immune optimization algorithm is utilized,and an optimal charging guidance strategy for expressway service areas is proposed.Based on the established typical travel scenario,the simulation is used to research the effectiveness of electric vehicle charging guidance scheduling strategy,and to verify the influence of electric vehicle clean energy self-sufficiency rate on the effectiveness of charging guidance strategy.The result shows that this guidance scheduling strategy improves the overall operational efficiency of expressway system by 32.8%,and reduces the average charging load in each service area by 50.3%,significantly reducing the disparity in charging loads across different service areas.Considering the clean energy self-consistent rate and introducing a self-consistent rate weight,the clean energy self-consistent rate of expressway energy system and the total driving time of electric vehicles show an approximately linear relationship.When the traffic volume is maintained at 3 vehicles per hour,the self-consistent rate of service area energy reaches an early peak of 77.6%,and then gradually declines.When the traffic volume increases to 5 vehicles per hour,the self-consistent rate climbs to a maximum value of 78.3%.As the number of vehicles increases,the overall self-consistent rate decreases exponentially.When the traffic volume rises sharply to 250 vehicles per hour,which is equivalent to a daily usage of more than 6 000 electric vehicles,the clean energy in all service areas will be exhausted.
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