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Optimization of load dispatch strategies for an islanded microgrid connected with renewable energy sources

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  • Fatin Ishraque, Md.
  • Shezan, Sk. A.
  • Ali, M.M.
  • Rashid, M.M.

Abstract

This paper evaluates the design and optimization of an islanded hybrid microgrid for various load dispatch strategies by assessing the optimal sizing of each component, the power system responses and different cost analysis of the microgrid. Four divisions of the northern side of Bangladesh namely, Mymensingh, Rangpur, Rajshahi and Sylhet hybrid microgrids incorporating solar PV, wind turbine, battery storage, diesel generator and a load of 27.31 kW have been optimized for five different dispatch strategies: (i) Load Following, (ii) Cycle Charging, (iii) Generator Order, (iv) Combined Dispatch and (v) HOMER predictive dispatch strategy. The proposed microgrids have been optimized to reduce the Net Present Cost, CO2 emission and Levelized Cost of Energy. All the five dispatch strategies for the four microgrids have been analyzed in HOMER Pro, and subsequently, the power system responses and feasibility analysis of the microgrids have been performed in MATLAB Simulink. The results obtained in this study provide a guideline to estimate component sizes and costs for the optimal operation of the proposed microgrids under various load dispatch scenarios. The simulation results suggest that the Load Following is the best dispatch strategy having the lowest Net Present Cost of 149,794 USD, Levelized Cost of Energy of 0.204 USD/kWh, Operating cost of 3,698 USD and CO2 emission of 3,298 kg/year with a stable power system response. Combined Dispatch is found to be the worst strategy having the maximum Levelized Cost of Energy of 0.532 USD/kWh, Net Present Cost of 415,030 USD, Operating cost of 15,394 USD and Green House Gas emissions of 17,266 kg/year and comparatively poor power system responses. Finally, a brief comparative analysis has been presented between designed microgrid system and other hybrid energy systems and conventional power stations in terms of Levelized Cost of Energy, Net Present Cost, CO2 emissions and operating cost.

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  • Fatin Ishraque, Md. & Shezan, Sk. A. & Ali, M.M. & Rashid, M.M., 2021. "Optimization of load dispatch strategies for an islanded microgrid connected with renewable energy sources," Applied Energy, Elsevier, vol. 292(C).
    • Handle: RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003688
    DOI: 10.1016/j.apenergy.2021.116879
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    1. Shezan Arefin, 2020. "Optimization Techniques of Islanded Hybrid Microgrid System," Chapters, in: Mansour Al Qubeissi & Ahmad El-Kharouf & Hakan Serhad Soyhan (ed.), Renewable Energy - Resources, Challenges and Applications, IntechOpen.
    2. Xiong, Guojiang & Shi, Dongyuan & Duan, Xianzhong, 2013. "Multi-strategy ensemble biogeography-based optimization for economic dispatch problems," Applied Energy, Elsevier, vol. 111(C), pages 801-811.
    3. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    4. Nosrat, Amir & Pearce, Joshua M., 2011. "Dispatch strategy and model for hybrid photovoltaic and trigeneration power systems," Applied Energy, Elsevier, vol. 88(9), pages 3270-3276.
    5. Wu, Chuanshen & Gao, Shan & Liu, Yu & Song, Tiancheng E. & Han, Haiteng, 2021. "A model predictive control approach in microgrid considering multi-uncertainty of electric vehicles," Renewable Energy, Elsevier, vol. 163(C), pages 1385-1396.
    6. Ke Jiang & Feng Wu & Xuanjun Zong & Linjun Shi & Keman Lin, 2019. "Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm," Energies, MDPI, vol. 12(24), pages 1-18, December.
    7. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    8. Wu, Zhou & Tazvinga, Henerica & Xia, Xiaohua, 2015. "Demand side management of photovoltaic-battery hybrid system," Applied Energy, Elsevier, vol. 148(C), pages 294-304.
    9. Moretti, L. & Polimeni, S. & Meraldi, L. & Raboni, P. & Leva, S. & Manzolini, G., 2019. "Assessing the impact of a two-layer predictive dispatch algorithm on design and operation of off-grid hybrid microgrids," Renewable Energy, Elsevier, vol. 143(C), pages 1439-1453.
    10. 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.
    11. Barbaro, Marco & Castro, Rui, 2020. "Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago," Renewable Energy, Elsevier, vol. 151(C), pages 434-445.
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