Research On Optimal Scheduling Models For Highway Traffic Self-Consistent Energy System

As the third largest carbon emitter in China,the transportation sector is crucial to the achievement of "carbon peaking and carbon neutrality goals",and the integrated development of energy and transportation is one of the important ways to achieve the goals.Under the guidance of the energy and transportation integration development idea,this paper developed a Highway Self-Consistent Energy System(HSCES)architecture model based on the concept of island operation microgrid and proposed a two-stage optimal scheduling strategy based on the HSCES model to realize the optimal operation of HSCES in specific scenarios.A nearest neighbor optimization operation strategy considering the battery health which can help the networked HSCES coordinate with each other is presented in this paper.The main research work of this paper is as follows:Firstly,the system form architecture of HSCES with island operation is described,and the HSCES distributed generation model and energy storage model including battery and hydrogen storage system are established in this paper.Meanwhile,the load operation scenario including tunnel,service area,toll station,operation and management center,and other infrastructure highways along the route is defined,and a load model based on the highway operation scenario is constructed.The HSCES model lays the foundation for model application and provides a highly illustrative theoretical basis for the subsequent chapters.Secondly,on the basis of the HSCES architecture model,a two-stage HSCES optimal scheduling strategy considering the self-consistent rate is proposed.The day-ahead stage uses Latin hypercube and synchronous backgeneration to generate day-ahead scenery output scenarios for stochastic optimal scheduling,it further proposes the definition of self-consistent rate and adds it to the constraints for day-ahead economic optimal scheduling.The intra-day stage proposes an rolling optimization scheduling strategy based on model forecast control theory to correct intra-day forecast errors and source-load fluctuations in real time.The case comparison analysis shows that the system can achieve a better operation state by adding the self-consistent rate constraint,and the intra-day rolling optimization strategy can improve the system’s ability to handle real-time fluctuations of renewable energy and load,which verifies the effectiveness of the two-stage optimal scheduling strategy.Finally,for the actual load operation scenario of HSCES.a Networked Highway Self-Consistent Energy System(N-HSCES)is constructed.A sub-microgrid nearest-neighbor priority interaction strategy considering the battery health state is proposed to address the problem of how different types of sub-microgrids can interoperate with each other,and a multi-objective optimal scheduling model based on the operation strategy is constructed.The NSGA-II is used to solve the model,and the TOPSIS decision method is used to derive the best scheduling scheme.The analysis results show that the optimal operation strategy and multi-objective optimal scheduling model of multi-microgrid can ensure the energy scheduling and cooperative operation of each device in N-HSCES,so that N-HSCES can extend the battery life as much as possible during the operation process,ensuring the economy and reliability of the system operation,and realizing the optimal cooperative operation of each sub-microgrid.