| According to publicly available data,China’s transportation sector accounts for 15% of the country’s total carbon emissions,with highway transportation accounting for over 85% of the total.Energy cleanliness in the highway transportation system is an urgent issue to be addressed.The renewable energy endowment along China’s highways is very superior,but the penetration rate is less than 10%.Therefore,establishing a self-consistent energy system in the transportation system has become a key link in reducing transportation carbon emissions.This article takes the self-consistent energy system of highways as the research object,constructs a comprehensive evaluation system for the energy system of highways,and designs an optimization scheduling strategy for the microgrid of highways to optimize the evaluation results.The main work of this article is as follows:(1)For the research object of the self-consistent energy system of highways,this article divides it into two parts for analysis: load and microgrid.Firstly,load analysis is conducted on the energy consumption scenarios of highways,and various loads are classified according to their importance,and typical load models are established;Secondly,analyze the layout characteristics of the highway microgrid system and establish mathematical models for photovoltaic systems,wind turbine systems,energy storage systems,and micro gas turbine systems.(2)In response to the lack of evaluation standards for the self-consistent energy system of highways at present,this article constructs a comprehensive evaluation index model for the selfconsistent energy system of highways based on the load and power characteristics of highways,comprehensively considering energy efficiency,economy,and reliability,and provides calculation methods for each index.Establish a combination weighting method based on Analytic Hierarchy Process Entropy Weighting CRITIC method,and evaluate the constructed evaluation index model through the combination weighting TOPSIS method to establish a selfconsistent energy system evaluation system for highways.The evaluation system established in this article was validated through example analysis,and the results showed that the selfconsistent energy system evaluation system for highways established in this article is feasible and practical.(3)In order to optimize the comprehensive evaluation results of highways,this article conducts optimization scheduling research on the microgrid system of highways.The objective function is to minimize the economy and pollution,and the scheduling constraints are power balance constraints,energy storage system constraints,distributed power output constraints,interaction constraints with the large power grid,and micro gas turbine climbing constraints.A highway microgrid optimization scheduling model is established.And set priority policies for the consumption of renewable energy output;Combining traditional particle swarm optimization(PSO)with genetic algorithm(GA),and introducing "elitism",a genetic particle swarm optimization algorithm(EGPSO)with "elitism" mechanism is proposed,and the optimal scheduling model is solved by EGPSO algorithm.Simulation results show that the algorithm designed in this paper has improved in convergence speed and convergence accuracy compared with traditional particle swarm optimization and genetic algorithm.It can effectively reduce the operation and maintenance costs of microgrids and reduce pollution emissions. |