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Energy storage systems for mitigating the variability of isolated hybrid power system

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  • Mahto, Tarkeshwar
  • Mukherjee, V.

Abstract

In this paper, an autonomous isolated hybrid power system (IHPS) consisting of wind turbine generators (WTGs), diesel engine generators and an energy storage system (ESS) is considered. Due to the stochastic nature of wind, electric power generated by WTG is highly erratic and may affect power supply quality. ESSs may play an important role in controlling WTG’s power output and, therefore, enabling an increased penetration of WTG in IHPS. This article deals with several ESSs like flywheel energy storage system, battery energy storage system, superconducting magnetic energy storage (SMES), capacitive energy storage (CES) and fuel cell for IHPS application. All the tunable parameters of the studied IHPS model along with those of ESS are optimized by using quasi-oppositional harmony search algorithm and comparative simulation results between various ESSs application in IHPS model for frequency and power deviation are presented in terms of rise time, settling time and steady state error for sudden changes in load/generation or both. The performance analysis of the system with different ESSs has been also carried out with different performance indices. From the simulation results it is inferred in this study that SMES and CES based IHPS perform neck to neck and these two ESSs outperform the others while controlling both frequency and power deviations.

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  • Mahto, Tarkeshwar & Mukherjee, V., 2015. "Energy storage systems for mitigating the variability of isolated hybrid power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1564-1577.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:1564-1577
    DOI: 10.1016/j.rser.2015.07.012
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    Cited by:

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    3. Mahto, Tarkeshwar & Mukherjee, V., 2017. "A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system," Energy, Elsevier, vol. 130(C), pages 339-350.
    4. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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    6. Rostirolla, G. & Grange, L. & Minh-Thuyen, T. & Stolf, P. & Pierson, J.M. & Da Costa, G. & Baudic, G. & Haddad, M. & Kassab, A. & Nicod, J.M. & Philippe, L. & Rehn-Sonigo, V. & Roche, R. & Celik, B. &, 2022. "A survey of challenges and solutions for the integration of renewable energy in datacenters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).

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