Design and operation optimization of a hybrid railway power substation

Pankovits, Petronela; Ployard, Maxime; Pouget, Julien; Brisset, S.; Abbes, Dhaker; Robyns, Benoît

doi:10.1109/epe.2013.6634352

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…The power dispatching strategy lies on a classical approach [9] that aims at minimizing the electrical bill for the day ahead. Prices of purchased and sold energy are assumed to be time dependent with instantaneous values respectively denoted as C c (t) and C p (t).…”

Section: A Optimal Power Dispatching Based On the Fine Modelmentioning

confidence: 99%

Integrated Optimal Design of a Smart Microgrid With Storage

Rigo‐Mariani

Sareni

Roboam

2017

IEEE Trans. Smart Grid

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OATAO is an open access repository that collects the work of some Toulouse researchers and makes it freely available over the web where possible. Abstract-In this paper, we investigate a design approach aiming at simultaneously integrating the energy management and the sizing of a small microgrid with storage. We particularly underline the complexity of the resulting optimization problem and how it can be solved using suitable optimization methods in compliance with relevant models of the microgrid. We specifically show the reduction of the computational time allowing the microgrid simulation over long time durations in the optimization process in order to take seasonal variations into account. The developed approach allows performing many optimal designs in order to find the appropriate price context that could favor the installation of storage devices.

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Section: A Optimal Power Dispatching Based On the Fine Modelmentioning

confidence: 99%

Integrated Optimal Design of a Smart Microgrid With Storage

Rigo‐Mariani

Sareni

Roboam

2017

IEEE Trans. Smart Grid

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“…The second is ¨P local , in order to favor the local RES consumption, and the third is the SOC to ensure the storage availability. The last input is the long-term storage reference power P sto-ref-lgt , obtained from predictive mode strategy, based on optimization techniques as presented in [2]. Since P sto-ref-lgt is contributing to reduce the electricity bill purchased in shortterm trades, its role is crucial in defining the supervision output storage power, P sto-ref-sht .…”

Section: B Energy Management Configurationmentioning

confidence: 99%

“…Then, k t (%) is a power coefficient for each time tariff period t and X t represents the index set x belonging to each time class t. The second indicator is related to balancing rules and associated cost. C balance (€) is defined in (2) to express the balance cost between the purchased electricity and actually consumed one, as presented in [13]. Different costs are established for the positive gap, c gap _ pos (more purchased energy than consumed one) and the negative one c gap _ neg (less purchased energy than consumed one).…”

Section: B) Objective Functionsmentioning

confidence: 99%

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Towards railway-smartgrid: Energy management optimization for hybrid railway power substations

Pankovits

Pouget

Robyns

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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In order to analyze the feasibility of implementing Smart Grid technologies at railway network scale, this paper presents an optimization study of hybrid railway power substations energy management. Fuzzy logic supervision strategy is developed to achieve renewable energy sources and storage units' coordination in the railway power substation. Objectives such as limitation of the exceeding subscribed power by favoring local renewable energy consumption are considered through empirically defined supervision parameters. Declared as optimization variables, these are the inputs and outputs of the fuzzy logic membership functions. Then, adapted economic indicators chosen to quantify supervision's performance are defined as the objective functions in the optimization model. To solve the problem, experimental design and genetic algorithm are iteratively implemented in an optimization interface. Eventually, to illustrate the influence of the optimization procedure on the system supervision, the simulation results of the optimal solution are analyzed.

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“…As the phases of adjacent power supply sections are different, all sections must be kept strictly isolated to prevent the risk of mixing out-of-phase supplies, which is achieved by neutral sections. In this study, a scheme of RTSEM system is illustrated in Figure 1, which is based on the architecture of hybrid railway power substation proposed in previous studies [24,27]. The power direction and corresponding symbol convention are presented as well.…”

Section: Block Diagram Of the System And Modelmentioning

confidence: 99%

Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations

Liu

Chen

et al. 2018

Energies

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Abstract:The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy.

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Design and operation optimization of a hybrid railway power substation

Cited by 16 publications

References 9 publications

Integrated Optimal Design of a Smart Microgrid With Storage

Integrated Optimal Design of a Smart Microgrid With Storage

Towards railway-smartgrid: Energy management optimization for hybrid railway power substations

Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations

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