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Power System Planning and Cost Forecasting Using Hybrid Particle Swarm-Harris Hawks Optimizations

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Abstract

Hybrid renewable-based power production has emerged as a crucial development in the electrical power system because to its ability to supply consumers with cost-effective and carbon-free electricity. Incorporating several renewable energy sources and storage systems with a grid-connected system necessitates extra design requirements, which raising the renewable system’s overall cost. Therefore, optimizing the size of the components is essential to minimizing the cost of the system and limiting its negative impacts. This paper presents a hybrid of Particle Swarm Optimization (PSO) and Harris Hawks Optimization (HHO) known as PSHHO technique-based economic analysis of smart grid (SG) Hybrid Renewable Energy Systems (HRES). Here, the hybrid PSHHO approach is presented to tackle the problem of HRES cost analysis. The major purpose of this study is to minimize the system cost and increase overall system efficiency. Finally, the proposed approach is tested in the MATLAB tool, and the performance of the proposed method is compared with other existing methods such as HHO, PSO, and WOA. The result demonstrates the proposed system can meet the load demand with low Cost of Energy (COE) (21.5 Rs/kWh) than existing methods.

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Acknowledgements

The Author with a deep sense of gratitude would thank the supervisor for his guidance and constant support rendered during this research.

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Authors did not receive any funding.

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Authors and Affiliations

  1. Department of electrical and electronics engineering, PSN college of engineering and technology, Tirunelveli, India

    A. Jasmine Gnana Malar

  2. Vellore Institute of Technology, Chennai, Tamil Nadu, India

    Suseela Sellamuthu

  3. Department of E&I, Hindusthan College of Engineering and Technology, Coimbatore, India

    M. Ganga

  4. Department of Electrical Engineering, Saingits college of Engineering, Kottukulam hills, Pathamuttom, Kottayam, Kerala, India

    N. Mahendran

  5. Department of Planning, Design, Technology of Architecture, Sapienza University of Rome, 00196, Rome, Italy

    Siamak Hoseinzadeh

  6. Department of Electronics and Communications Engineering, PSN College of Engineering and Technology, Tirunelveli, India

    A. Ahilan

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  1. A. Jasmine Gnana Malar
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  2. Suseela Sellamuthu
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  3. M. Ganga
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  5. Siamak Hoseinzadeh
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  6. A. Ahilan
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Correspondence to A. Jasmine Gnana Malar.

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Gnana Malar, A.J., Sellamuthu, S., Ganga, M. et al. Power System Planning and Cost Forecasting Using Hybrid Particle Swarm-Harris Hawks Optimizations. J. Electr. Eng. Technol. 19, 1023–1031 (2024). https://doi.org/10.1007/s42835-023-01610-z

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  • DOI: https://doi.org/10.1007/s42835-023-01610-z

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