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A Novel Solution for Stable and High-Quality Power for Power System with High Penetration of Renewable Energy Transmission by HVDC

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Advances in Machine Learning and Computational Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In recent days, the use of renewable energy resources is generally in an increasing manner. Through the development of renewable energy resources are too long from the load stations in the southeast and east side locations. Power system dynamic issues are solved in a way, and the issues like damping and lack of inertia, subsynchronous oscillations caused by inter harmonics with AC-AC power conversion-based renewable energy power generators, comparing 18 HVDC transmission lines, a combined capacity of exceeding 130 GW, are currently under process. A new technology is proposed in a stable way for power system with high capacity of renewable energy sources. The pair of synchronous motor-generator pair (MGP) is proposed to solve the above-mentioned issues. The new expansion of generation and proposed system transmission capacities-based power sources are modeled to design the characteristics of the power grid. Small signal immovability of the structure is varied and it can be used as a suitable damping control model. The harmonic response of MGP analyzes the electromagnetic principle. The harmonic content present in the load side is heavily eliminated. The renewable energy system characterizes power electronics and used in HVDC and the renewable power generation. By this proposed model, this clean energy greatly improves the system stability and power quality.

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Authors and Affiliations

  1. Department of EEE, Jerusalem College of Engineering, Chennai, 600100, Tamilnadu, India

    C. John De Britto & S. Nagarajan

  2. Department of EEE, Jeppiaar Engineering College, Chennai, 600119, Tamilnadu, India

    C. John De Britto

Authors
  1. C. John De Britto
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  2. S. Nagarajan
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Corresponding author

Correspondence to C. John De Britto .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Simulation and Modelling, School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  3. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

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John De Britto, C., Nagarajan, S. (2021). A Novel Solution for Stable and High-Quality Power for Power System with High Penetration of Renewable Energy Transmission by HVDC. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_71

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  • DOI: https://doi.org/10.1007/978-981-15-5243-4_71

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5242-7

  • Online ISBN: 978-981-15-5243-4

  • eBook Packages: EngineeringEngineering (R0)

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