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Optimal Operation of the Power-to-Gas Storage System Considering Energy Optimization in the Independent Electrical System

Author

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  • H. Ullah

    (Universitas Negeri Padang)

  • H. Pallathadka

    (Universitas Negeri Padang)

Abstract

Renewable energy sources (RESs) have had undeniable advantages over the recent years not only to supply electrical demand but also hydrogen storage system. However, maximum use of the RES’s power has always been challenging as high penetration of the RESs as well as their intermittent nature might compromise the distribution network’s power flow constraints. In line with this challenge, this work advances the state-of-the-art in the flexibility of the distribution network to leverage RESs by employing electrical storages. This study presents technical and economic operation of the independent electrical system considering power-to-gas (PtG) technology. The PtG technology has an energy storage role as apply gas stored to reserve generators for supply demand at critical status. The main technical and economic objectives are taken into account as minimizing the fuel’s costs of the generators as economic index and maximizing the system reliability index as technical index. The particle swarm optimization algorithm (PSOA) is utilized to obtain the optimal level of the objectives. Finally, several approaches verify the effectiveness of the proposed model and method with PtG storage technology. The operation of the PtG technology leads to an improved reliability index of 4% and minimized fuel costs by 8.74% than lack of participation.

Suggested Citation

  • H. Ullah & H. Pallathadka, 2024. "Optimal Operation of the Power-to-Gas Storage System Considering Energy Optimization in the Independent Electrical System," SN Operations Research Forum, Springer, vol. 5(4), pages 1-16, December.
  • Handle: RePEc:spr:snopef:v:5:y:2024:i:4:d:10.1007_s43069-024-00386-w
    DOI: 10.1007/s43069-024-00386-w
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    References listed on IDEAS

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    1. Mazzeo, Domenico & Oliveti, Giuseppe & Baglivo, Cristina & Congedo, Paolo M., 2018. "Energy reliability-constrained method for the multi-objective optimization of a photovoltaic-wind hybrid system with battery storage," Energy, Elsevier, vol. 156(C), pages 688-708.
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