Abstract

This study presents a multiobjective energy management model for the connected cophase traction power system (CCTPS). Each traction substation (TSS) includes a power flow controller (PFC), energy storage systems (ESS), wind turbine, and PV modules beside a single-phase traction power transformer. Also, in order to exchange the power between the adjacent TSSs, power transfer controllers (PTCs) are used. The proposed energy management model is formulated as a multistage multiobjective optimization problem with a lexicography approach. In the first stage, the cost of purchased energy is minimized. In the second stage, the independence of the CCTPS from the external grid improved. Finally, minimizing the voltage unbalanced ratio (VUR) of CCTPS is considered as the third stage goal. According to the simulation results, utilizing GAMS optimization software, the proposed model will decrease remarkably VUR and dependency of CCTPS without any increase in operation cost.

Highlights

  • Considering environmental concerns and high-efficiency transportation alternatives have received considerable attention [2, 3]. e development of transportation methods based on rails, especially electric railway systems, is one of the most efficient ways to reduce emissions and energy consumption challenges [4]

  • electrical railway systems (ERSs) engineers encounter a variety of challenges to develop appropriate feeding schemes, including proposing efficient structures and optimal energy management models [6,7,8]

  • For the sake of clarity, it should be mentioned that the variation columns illustrate the alterations between the results of the first stage with those of other stages

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Summary

Introduction

The current interest in the reliable-economic operation of ERSs necessitates an active power flow controller in order to manage the transferred power with the upstream grid in the presence of possible elements such as energy storage systems (ESSs) [7] Regarding this situation, ERS engineers encounter a variety of challenges to develop appropriate feeding schemes, including proposing efficient structures and optimal energy management models [6,7,8]. (1) Proposing a novel multistage multiobjective optimization model for CCTPS’s operation (2) Coordinating the RBE utilization, local RERs, and the operation of adjacent traction substations (3) Minimizing the operation cost of CCTPS and reducing VUR simultaneously without incurring any additional costs (4) Introducing and improving the independency index of CCTPS (5) Facilitating the interaction between the upstream power grid and CCTPS through considering VUR and independency index.

System Modeling
Simulation Results and Discussion
I: Set of TSSs
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