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    Enhancing Grid Stability Using a Virtual Inertia-Integrated Railway Power Conditioner in Railway Power Supplies With High Renewable Energy Penetration
    (2024-01-01)
    Phophongviwat, Teeraphon
    ;
    Boonlert, Thunwa
    ;
    Hongesombut, Komsan
    As electric power systems increasingly integrate Renewable Energy Sources (RESs), the consequent reduction in system inertia has heightened their sensitivity to disturbances, such as sudden load changes. This issue is especially relevant in railway power supply systems, which are evolving to be dominated by RESs. Traditional solutions, including Railway Power Conditioners (RPCs), primarily address unbalanced loads and reactive power compensation but offer limited frequency support. This paper introduces a Virtual Inertia-Integrated Railway Power Conditioner (VIIRPC), a novel solution that enhances traditional RPCs with Energy Storage Systems (ESS) to provide critical virtual inertia support, thereby addressing the critical gap in frequency stability amidst the evolving energy landscape of railway systems. Utilizing a current source-based model, the VIIRPC effectively extends inertia support from two-phase systems to balanced three-phase systems at the Point of Common Coupling (PCC). This achievement is realized by dividing a virtual inertia signal and integrating it into both sides of the RPC control loop, while respecting each side's signal orientation. Simulations have been conducted to verify the operation under different loading conditions, including a 4-minute headway train schedule, under both conventional and low-inertia grid conditions. These results demonstrate that the VIIRPC outperforms traditional RPCs by enhancing frequency stability and maintaining conventional functionalities. This advancement is particularly significant for modern, RES-dominated railway power supplies, especially in remote areas with RES-based power sources and low short-circuit levels at the PCC.
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    An Adaptive Data-Driven-Based Control for Voltage Control Loop of Grid-Forming Converters in Variable Inertia MGs
    (2024-01-01)
    Pinthurat, Watcharakorn
    ;
    Kongsuk, Prayad
    ;
    Surinkaew, Tossaporn
    ;
    Marungsri, Boonruang
    In the transition towards sustainable energy systems, microgrid (MG) plays a pivotal role, especially in the context of variable-inertia MGs that integrate renewable energy sources (RESs) and distributed energy resources (DERs). Maintaining stable voltage control within such grids is imperative for reliable operation. This paper presents an adaptive data-driven control technique for the voltage control loop of grid-forming converters in variable-inertia MGs. The primary objective is to enhance control performance while accommodating the unpredictable nature of renewable energy sources. The approach utilizes advanced data-driven algorithms to continuously monitor and adjust control parameters based on real-time grid conditions. This adaptability allows for effective management of varying inertia and load demand, ensuring optimal grid performance. The data-driven nature of the approach enables self-adaptability, making it suitable for the dynamic MG environment. This new approach is a noteworthy advancement in controlling RESs and DERs to maintain stable voltage in MGs, without needing precise knowledge of the MG's parameters. Simulation tests and real-world examples confirm that the adaptive data-driven control method effectively optimizes voltage control in MGs with variable inertia, especially those with a high presence of RESs and DERs.
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    A Review of Converters for Green Hydrogen Generation in Consideration of Renewable Energy
    (2024-01-01)
    Vivanthanarot, Saman
    ;
    Khomfoi, Surin
    ;
    Phophongviwat, Teeraphon
    ;
    Somboonpanya, Nattapon
    ;
    Phongsawat, Suwaphit
    Hydrogen is set to revolutionize the future energy landscape with its wide-ranging applications across various sectors. With global decarbonization objectives, water electrolysis provides a sustainable way to produce hydrogen, especially when it is driven by renewable energy sources. This process predominantly utilizes grid electricity, but the growing implementation of renewable energy-powered microgrids presents an attractive alternative for hydrogen production. The produced hydrogen can be used not only for electrical generation within the microgrid but also for local heating and as a fuel for transportation. Power converters are crucial in ensuring stability and reliability in hydrogen production. The paper reviews the power electronics converters required to match the DC and AC voltage source with the needs of electrolyzers. Moreover, this paper explores the technologies of electrolyzers powered by renewable energy sources, with a particular focus on wind turbines and PV.
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    Improved H2/H∞ control-based robust PI controller design of SMES for suppression of power fluctuation in microgrid
    (2014-10-15)
    Vachirasricirikul, Sitthidet
    ;
    Ngamroo, Issarachai
    In the microgrid integrated with the renewable energy sources such as wind power and photovoltaic, the random power productions from such renewable sources may cause the severe power fluctuation problem. This paper focuses on a robust controller design of a superconducting magnetic energy storage (SMES) for stabilizing the power fluctuation in a microgrid. The proportional-integral (PI)-based damping controllers for active and reactive power control of SMES are optimally tuned based on the improved H<inf>2</inf>/H<inf>∞</inf> control with the automatic selection of the reference input. The particle swarm optimization is applied to achieve the optimal PI parameters automatically. Simulation results show that the power fluctuation from the renewable sources is greatly damped by robust SMES controller.