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Selection of Appropriate Dispatch Strategies for Effective Planning and Operation of a Microgrid

Author

Listed:
  • Sk. A. Shezan

    (School of Electrical Engineering and Industrial Automation, Engineering Institute of Technology, Melbourne, VIC 3000, Australia
    School of Engineering, RMIT University, Melbourne 3000, Australia)

  • Kazi Nazmul Hasan

    (School of Engineering, RMIT University, Melbourne 3000, Australia)

  • Akhlaqur Rahman

    (School of Electrical Engineering and Industrial Automation, Engineering Institute of Technology, Melbourne, VIC 3000, Australia)

  • Manoj Datta

    (School of Engineering, RMIT University, Melbourne 3000, Australia)

  • Ujjwal Datta

    (College of Engineering and Science, Victoria University, P.O. Box 14428, Melbourne 8001, Australia)

Abstract

The power system responsiveness may be improved by determining the ideal size of each component and performing a reliability analysis. This study evaluated the design and optimization of an islanded hybrid microgrid system with multiple dispatch algorithms. As the penetration of renewable power increases in microgrids, the importance and influence of efficient design and operation of islanded hybrid microgrids grow. The Kangaroo Island in South Australia served as the study’s test microgrid. The sizing of the Kangaroo Island hybrid microgrid system, which includes solar PV, wind, a diesel engine, and battery storage, was adjusted for four dispatch schemes. In this study, the following dispatch strategies were used: (i) load following, (ii) cycle charging, (iii) generator order, and (iv) combination dispatch. The CO 2 emissions, net present cost (NPC), and energy cost of the islanded microgrid were all optimized (COE). The HOMER microgrid software platform was used to build all four dispatch algorithms, and DIgSILENT PowerFactory was used to analyze the power system’s responsiveness and dependability. The findings give a framework for estimating the generation mix and required resources for an islanded microgrid’s optimal functioning under various dispatch scenarios. According to the simulation results, load following is the optimum dispatch technique for an islanded hybrid microgrid that achieves the lowest cost of energy (COE) and net present cost (NPC).

Suggested Citation

  • Sk. A. Shezan & Kazi Nazmul Hasan & Akhlaqur Rahman & Manoj Datta & Ujjwal Datta, 2021. "Selection of Appropriate Dispatch Strategies for Effective Planning and Operation of a Microgrid," Energies, MDPI, vol. 14(21), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7217-:d:670589
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    References listed on IDEAS

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    1. Zhao, Bo & Xue, Meidong & Zhang, Xuesong & Wang, Caisheng & Zhao, Junhui, 2015. "An MAS based energy management system for a stand-alone microgrid at high altitude," Applied Energy, Elsevier, vol. 143(C), pages 251-261.
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    Cited by:

    1. Kizito, Rodney & Liu, Zeyu & Li, Xueping & Sun, Kai, 2022. "Multi-stage stochastic optimization of islanded utility-microgrids design after natural disasters," Operations Research Perspectives, Elsevier, vol. 9(C).
    2. Paolo Tenti & Tommaso Caldognetto, 2022. "Generalized Control of the Power Flow in Local Area Energy Networks," Energies, MDPI, vol. 15(4), pages 1-21, February.
    3. Elena Sosnina & Andrey Dar’enkov & Andrey Kurkin & Ivan Lipuzhin & Andrey Mamonov, 2022. "Review of Efficiency Improvement Technologies of Wind Diesel Hybrid Systems for Decreasing Fuel Consumption," Energies, MDPI, vol. 16(1), pages 1-38, December.
    4. Zhou, Jianguo & Xu, Zhongtian, 2023. "Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China," Renewable Energy, Elsevier, vol. 202(C), pages 1110-1137.
    5. Angelos Patsidis & Adam Dyśko & Campbell Booth & Anastasios Oulis Rousis & Polyxeni Kalliga & Dimitrios Tzelepis, 2023. "Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods," Energies, MDPI, vol. 16(16), pages 1-19, August.
    6. Sk. A. Shezan & Innocent Kamwa & Md. Fatin Ishraque & S. M. Muyeen & Kazi Nazmul Hasan & R. Saidur & Syed Muhammad Rizvi & Md Shafiullah & Fahad A. Al-Sulaiman, 2023. "Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    7. Yasir Basheer & Asad Waqar & Saeed Mian Qaisar & Toqeer Ahmed & Nasim Ullah & Sattam Alotaibi, 2022. "Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan, Using HOMER Pro," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    8. Ali Saleh Aziz & Mohammad Faridun Naim Tajuddin & Tekai Eddine Khalil Zidane & Chun-Lien Su & Abdullahi Abubakar Mas’ud & Mohammed J. Alwazzan & Ali Jawad Kadhim Alrubaie, 2022. "Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq," Sustainability, MDPI, vol. 14(13), pages 1-29, July.

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