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Optimization of photovoltaic-based microgrid with hybrid energy storage: A P-graph approach

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  • Mah, Angel Xin Yee
  • Ho, Wai Shin
  • Hassim, Mimi H.
  • Hashim, Haslenda
  • Ling, Gabriel Hoh Teck
  • Ho, Chin Siong
  • Muis, Zarina Ab

Abstract

Renewable energy is the key to decarbonize energy use despite the growing global energy demand. However, energy storage is required to tackle the supply-demand mismatch caused by the intermittent nature of renewable energy sources. As each type of energy storage has a distinct discharge duration, a hybrid energy storage system can be more cost-effective than a single energy storage system. While various process integration tools have been employed for the optimization of microgrid with hybrid energy storage, a graph theoretic algorithm known as P-graph allows the identification of optimal and near-optimal solutions for practical decision making. P-graph involves modelling by graphs and the embedded accelerated branch-and-bound algorithm enables efficient determination of optimal solution. This study proposes a multi-period P-graph optimization framework for the optimization of photovoltaic-based microgrid with battery-hydrogen energy storage and the proposed approach is demonstrated through two case studies. Results showed that the optimal cost of microgrid with hybrid battery-hydrogen storage is 704,990 USD/y, a carbon price of 1000 USD/t and above is required to make it more economical than conventional electricity use. Replacing the hydrogen storage system with grid support reduces the total cost and required carbon price to 262,334 USD/y and 300 USD/y respectively.

Suggested Citation

  • Mah, Angel Xin Yee & Ho, Wai Shin & Hassim, Mimi H. & Hashim, Haslenda & Ling, Gabriel Hoh Teck & Ho, Chin Siong & Muis, Zarina Ab, 2021. "Optimization of photovoltaic-based microgrid with hybrid energy storage: A P-graph approach," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221013360
    DOI: 10.1016/j.energy.2021.121088
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    Cited by:

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    2. He, Yi & Guo, Su & Dong, Peixin & Wang, Chen & Huang, Jing & Zhou, Jianxu, 2022. "Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index," Applied Energy, Elsevier, vol. 328(C).
    3. Mohammed Kharrich & Salah Kamel & Mohamed H. Hassan & Salah K. ElSayed & Ibrahim B. M. Taha, 2021. "An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    4. Xu, Yifan & Ji, Mengmeng & Klemeš, Jiří Jaromír & Tao, Hengcong & Zhu, Baikang & Varbanov, Petar Sabev & Yuan, Meng & Wang, Bohong, 2023. "Optimal renewable energy export strategies of islands: Hydrogen or electricity?," Energy, Elsevier, vol. 269(C).
    5. Shen, Xiaojun & Li, Xingyi & Yuan, Jiahai & Jin, Yu, 2022. "A hydrogen-based zero-carbon microgrid demonstration in renewable-rich remote areas: System design and economic feasibility," Applied Energy, Elsevier, vol. 326(C).
    6. Jun Dong & Yaoyu Zhang & Yuanyuan Wang & Yao Liu, 2021. "A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR," Sustainability, MDPI, vol. 13(18), pages 1-28, September.

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