Document Type

Journal Article

Publication Title

IEEE Access

Publisher

IEEE

School

School of Engineering

RAS ID

77427

Comments

Ghahramani, M., Habibi, D., Ghamari, S., & Aziz, A. (2024). Optimal operation of an islanded hybrid energy system integrating power and gas systems. IEEE Access, 12, 196591-196608. https://doi.org/10.1109/ACCESS.2024.3521922

Abstract

Remote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions. However, shifting to renewable energy sources introduces uncertainty challenges for low-inertia stand-alone systems. In this paper, we propose a two-stage energy management strategy to address the uncertainties of wind generation and load consumption while minimizing operational expenses. Furthermore, the study explores the integration of multi-carrier energy networks, in this case electricity and gas, to enhance the reliability of hybrid energy systems. Two modeling methods are proposed to tackle the uncertainties. First, a two-stage scenario-based stochastic method using a k-means clustering scenario reduction algorithm is applied to address uncertainties. Second, a Monte Carlo simulation approach is utilized to validate the proposed method. We employ these methods to solve the optimization problem and effectively address the uncertainties, considering the operational and security constraints of the multi-source system. The model also incorporates power flow and Weymouth equations to model electricity and gas flows in their respective networks, which makes the model more realistic by considering the interconnection constraints. Moreover, demand-side management programs are applied to both the electricity and gas sectors to evaluate their impact on the system's reliability and resiliency. Four different case studies are conducted to validate the proposed model. The results demonstrate that our method reduces total operational costs by up to 39.74% and significantly decreases load shedding in both electricity and gas networks.

DOI

10.1109/ACCESS.2024.3521922

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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