| The power industry is experiencing unprecedented challenges as its primary source of energy is shifting from fossil fuels to renewable energy resources(RES).To achieve this transformation,the two main problems need to be solved: 1)how to transmit large-scale renewable energy from the remote centers to the load centers;2)how to deal with the randomness of the renewable energy.The rapid development of energy storage technology provides an effective method to solve the two problems.As battery energy storage systems are of small size,high energy density,and installed without strict requirements,they have the potential to become mobile.Energy could be stored in the renewable energy-rich areas and then transported to the load centers through the public transportation system,so that the problems of transmission and control,which restricts the massive access and efficient use of the renewable energy,would be solved.In this paper,with battery energy storage and public transport system as the starting point,a strategy of integrating large-scale mobile energy storage into power generation scheduling through railway transportation is studied.A time-space network model is used to describe the railway transportation network in this paper.By introducing the concept of the common node between the power system and the railway network,the vehicle routing problem of energy storage system by railway is combined with the security constrained unit commitment problem,and a model that mobile energy storage systems participate in the generation scheduling is built.Then simulation analysis is carried out using the modified 6-bus system and 118-bus system.The results show that the mobile energy storage can realize the effective utilization of the renewable energy through the charge and discharge switching at each site in the transportation routes,alleviate the network congestion and reduce the operation cost of the combined system.Based on the Lagrangian decomposition method and modified subgradient method,this paper proposes a algorithm to solve the joint scheduling model of power system and railway traffic,which proved to speed up the solving efficiency.And then a modified118-bus system is used to illustrate the applicability of the BEST model and the practicability of the algorithm.In addition,the results show that the optimal transportation route of mobile energy storage is highly dependent on the locational marginal price of station node,and the locations of vehicle base stations will also affect the combined system operation cost.Finally,this paper takes the 2018 U.S.Eastern Interconnection as an example to prove the potential practical value of BEST(battery-based energy storage transportation) technology. |
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