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Two-Stage Optimal Active-Reactive Power Coordination for Microgrids with High Renewable Sources Penetration and Electrical Vehicles Based on Improved Sine−Cosine Algorithm

Author

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  • Dorian O. Sidea

    (Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
    Academy of Romanian Scientists, 030167 Bucharest, Romania)

  • Andrei M. Tudose

    (Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
    Academy of Romanian Scientists, 030167 Bucharest, Romania)

  • Irina I. Picioroaga

    (Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
    Academy of Romanian Scientists, 030167 Bucharest, Romania)

  • Constantin Bulac

    (Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, Romania)

Abstract

As current global trends aim at the large-scale insertion of electric vehicles as a replacement for conventional vehicles, new challenges occur in terms of the stable operation of electric distribution networks. Microgrids have become reliable solutions for integrating renewable energy sources, such as solar and wind, and are considered a suitable alternative for accommodating the growing fleet of electrical vehicles. However, efficient management of all equipment within a microgrid requires complex solving algorithms. In this article, a novel two-stage scheme is proposed for the optimal coordination of both active and reactive power flows in a microgrid, considering the high penetration of renewable energy sources, energy storage systems, and electric mobility. An improved sine-cosine algorithm is introduced to ensure the day-ahead optimal planning of the microgrid’s components aiming at minimizing the total active energy losses of the system. In this regard, both local and centralized control strategies are investigated for multiple generations and consumption scenarios. The latter proved itself a promising control scheme for the microgrid operation, as important energy loss reduction is encountered when applied.

Suggested Citation

  • Dorian O. Sidea & Andrei M. Tudose & Irina I. Picioroaga & Constantin Bulac, 2022. "Two-Stage Optimal Active-Reactive Power Coordination for Microgrids with High Renewable Sources Penetration and Electrical Vehicles Based on Improved Sine−Cosine Algorithm," Mathematics, MDPI, vol. 11(1), pages 1-24, December.
    • Handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:45-:d:1012012
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    References listed on IDEAS

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    1. Kucevic, Daniel & Englberger, Stefan & Sharma, Anurag & Trivedi, Anupam & Tepe, Benedikt & Schachler, Birgit & Hesse, Holger & Srinivasan, Dipti & Jossen, Andreas, 2021. "Reducing grid peak load through the coordinated control of battery energy storage systems located at electric vehicle charging parks," Applied Energy, Elsevier, vol. 295(C).
    2. Qiongjie Dai & Jicheng Liu & Qiushuang Wei, 2019. "Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
    3. Saleh Aghajan-Eshkevari & Sasan Azad & Morteza Nazari-Heris & Mohammad Taghi Ameli & Somayeh Asadi, 2022. "Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies," Sustainability, MDPI, vol. 14(4), pages 1-31, February.
    4. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    5. Shuai Liu & Zhong-Kai Feng & Wen-Jing Niu & Hai-Rong Zhang & Zhen-Guo Song, 2019. "Peak Operation Problem Solving for Hydropower Reservoirs by Elite-Guide Sine Cosine Algorithm with Gaussian Local Search and Random Mutation," Energies, MDPI, vol. 12(11), pages 1-24, June.
    6. Akansha Jain & Masoud Karimi-Ghartemani, 2022. "Mitigating Adverse Impacts of Increased Electric Vehicle Charging on Distribution Transformers," Energies, MDPI, vol. 15(23), pages 1-26, November.
    7. Rohit Trivedi & Sandipan Patra & Yousra Sidqi & Benjamin Bowler & Fiona Zimmermann & Geert Deconinck & Antonios Papaemmanouil & Shafi Khadem, 2022. "Community-Based Microgrids: Literature Review and Pathways to Decarbonise the Local Electricity Network," Energies, MDPI, vol. 15(3), pages 1-30, January.
    8. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
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