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Dynamic Stability of Wind Power Flow and Network Frequency for a High Penetration Wind-Based Energy Storage System Using Fuzzy Logic Controller

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  • Md Jahidur Rahman

    (Department of Engineering, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC J9X 5E4, Canada)

  • Tahar Tafticht

    (Department of Engineering, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC J9X 5E4, Canada)

  • Mamadou Lamine Doumbia

    (Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada)

  • Ntumba Marc-Alain Mutombo

    (Department of Electrical Engineering, Mangosuthu University of Technology, Durban 4031, South Africa)

Abstract

Major changes in the technologies of power generation and distribution systems have been introduced in recent years due to concern over rapid climate change. Therefore, disturbances in the large-scale generation, transmission, and distribution of energy are expected to occur in the near future. This is due to the difficulty in controlling the transmission and distribution of energy produced from renewable energy sources (RESs), caused by the instability of these sources and the intermittent nature of their energy. As a result, maintaining the dynamic stability of wind power flow and control of the network frequency is becoming more challenging due to the high penetration impacts of RESs. In this paper, a control algorithm using the power-sharing method is proposed for a wind-based energy storage system to maintain the dynamic stability of wind power flow and control of frequency in the power network. To maintain the network stability, a storage system (battery) was installed to store the excess wind power without throwing it into the Secondary/Dump Load (SL) and minimize losses in power generated by the wind turbine. The results show, the transient time of wind power flow and the fluctuation rate of frequency are reduced significantly using a Fuzzy Logic (FL) controller compared to the Proportional Integral Derivative (PID) controller.

Suggested Citation

  • Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Ntumba Marc-Alain Mutombo, 2021. "Dynamic Stability of Wind Power Flow and Network Frequency for a High Penetration Wind-Based Energy Storage System Using Fuzzy Logic Controller," Energies, MDPI, vol. 14(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4111-:d:590407
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    References listed on IDEAS

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    Cited by:

    1. Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Iqbal Messaïf, 2023. "Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid," Energies, MDPI, vol. 16(10), pages 1-36, May.
    2. José Calixto Lopes & Thales Sousa, 2022. "Transmission System Electromechanical Stability Analysis with High Penetration of Renewable Generation and Battery Energy Storage System Application," Energies, MDPI, vol. 15(6), pages 1-23, March.
    3. Jikai Sun & Mingrui Chen & Linghe Kong & Zhijian Hu & Veerapandiyan Veerasamy, 2023. "Regional Load Frequency Control of BP-PI Wind Power Generation Based on Particle Swarm Optimization," Energies, MDPI, vol. 16(4), pages 1-15, February.

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