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Simulation of a power system with large renewable penetration

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  • Fiedler, T.

Abstract

This paper presents a simulation software initially developed by the author for educational purposes. The computational tool supports the design of power systems with large penetration by renewable energy sources. In particular, the problematic of power intermittency and its counter strategies are targeted. The main innovation of this simulation is the detailed transient analysis of the essential balance between power generation and consumption. Even so, the focus of the simulation tool is simple usage and interpretation of results, it successfully captures important characteristics of renewable power systems. The user selects the composition of a power system from conventional power plants, photovoltaic, windpower and tidal power. Following system definition, power generation and power demand are calculated based on local weather data. Energy storage can be added to balance mismatches between power demand and supply. Following the completion of a simulation system autonomy, carbon emission and electricity cost are evaluated to assess the performance of energy systems.

Suggested Citation

  • Fiedler, T., 2019. "Simulation of a power system with large renewable penetration," Renewable Energy, Elsevier, vol. 130(C), pages 319-328.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:319-328
    DOI: 10.1016/j.renene.2018.06.061
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    References listed on IDEAS

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    1. Blakers, Andrew & Lu, Bin & Stocks, Matthew, 2017. "100% renewable electricity in Australia," Energy, Elsevier, vol. 133(C), pages 471-482.
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    Cited by:

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    2. Tadeusz Mączka & Halina Pawlak-Kruczek & Lukasz Niedzwiecki & Edward Ziaja & Artur Chorążyczewski, 2020. "Plasma Assisted Combustion as a Cost-Effective Way for Balancing of Intermittent Sources: Techno-Economic Assessment for 200 MW el Power Unit," Energies, MDPI, vol. 13(19), pages 1-16, September.
    3. Zeno, Aldrich & Orillaza, Jordan Rel & Kolhe, Mohan Lal, 2020. "Analysing the effects of power swing on wind farms using instantaneous impedances," Renewable Energy, Elsevier, vol. 147(P1), pages 1432-1452.
    4. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    5. Huang, Yuqing & Lan, Hai & Hong, Ying-Yi & Wen, Shuli & Yin, He, 2019. "Optimal generation scheduling for a deep-water semi-submersible drilling platform with uncertain renewable power generation and loads," Energy, Elsevier, vol. 181(C), pages 897-907.
    6. Gaigalis, Vygandas & Katinas, Vladislovas, 2020. "Analysis of the renewable energy implementation and prediction prospects in compliance with the EU policy: A case of Lithuania," Renewable Energy, Elsevier, vol. 151(C), pages 1016-1027.
    7. Daniel Akinyele & Abraham Amole & Elijah Olabode & Ayobami Olusesi & Titus Ajewole, 2021. "Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application," Sustainability, MDPI, vol. 13(20), pages 1-26, October.

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