Transactive Control Approach to Trip Optimization in Electric Railways

D’Achiardi, David; Pilo, E.; Mazumder, Sudip K.; Annaswamy, Anuradha M.

doi:10.1109/cdc40024.2019.9029626

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Currently, the cost of electricity usage for a high-speed electrical train is typically determined by solving an energyminimization-based optimization problem. However, recently, guided by [107] new approaches [108][109] based on transactive optimization, have been explored that have the potential to appreciably reduce the cost of electricity consumption in such high-speed trains. The transaction is essentially between the electrical train and the grid.…”

Section: Applications Of Cpss In Wind Energy Systemsmentioning

confidence: 99%

A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems

Mazumder

Kulkarni

Sahoo

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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In this paper, a broad overview of the current research trends in power-electronic innovations in cyberphysical systems (CPSs) is presented. The recent advances in semiconductor device technologies, control architectures, and communication methodologies have enabled researchers to develop integrated smart CPSs that can cater to the emerging requirements of smart grids, renewable energy, electric vehicles, trains, ships, internet of things (IoTs), etc. The topics presented in this paper include novel power-distribution architectures, protection techniques considering large renewable integration in smart grids, wireless charging in electric vehicles, simultaneous power and information transmission, multi-hop network-based coordination, power technologies for renewable energy and smart transformer, CPS reliability, transactive smart railway grid, and real-time simulation of shipboard power systems. It is anticipated that the research trends presented in this paper will provide a timely and useful overview to the power-electronics researchers with broad applications in CPSs.

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Section: Applications Of Cpss In Wind Energy Systemsmentioning

confidence: 99%

A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems

Mazumder

Kulkarni

Sahoo

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

Self Cite

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“…While the methods utilized for solving this two-step optimization are fairly straightforward, the main contribution of the paper lies in the novelty of the proposed approach for trip optimization in electric railway networks. To our knowledge, such a transactive approach, which can be viewed as Demand Response using the flexibility in power consumption of trains, has not been suggested thus far in the literature except for [11] and [12], where we presented preliminary results using this approach.…”

mentioning

confidence: 99%

Transactive Control of Electric Railways Using Dynamic Market Mechanisms

D’Achiardi¹,

Annaswamy²,

Mazumder³

et al. 2020

Preprint

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Electricity demand of electric railways is a relatively unexplored source of flexibility in demand response applications in power systems. In this paper, we propose a transactive control based optimization framework for coordinating the power grid network and the train network. This is accomplished by coordinating dispatchable distributed energy resources and demand profiles of trains using a two-step optimization. A railway based dynamic market mechanism (rDMM) is proposed for the dispatch of distributed energy resources (DER) in the power network along the electric railway using an iterative negotiation process, and generates profiles of electricity prices, and constitutes the first step. The train dispatch attempts minimize the operational costs of trains that ply along the railway, while subject to constraints on their acceleration profiles, route schedules, and the train dynamics, and generates demand profiles of trains and constitutes the second step. The rDMM seeks to optimize the operational costs of the underlying DERs while ensuring power balance. Together, they form an overall framework that yields the desired transactions between the railway and power grid infrastructures. This overall optimization approach is validated using simulation studies of the Southbound Amtrak service along the Northeast Corridor (NEC) in the United States, which shows a 25% reduction in energy costs when compared to standard trip optimization based on minimum work, and a 75% reduction in energy costs when compared to the train cost calculated using a field dataset.

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