A reliability-constrained planning model for antarctic electricity and heat integrated energy system

• Published in: International journal of electrical power & energy systems 2024-11, Vol.162, p.110346, Article 110346
• Main Authors: Xie, Ziru, Su, Jia, Xue, Yixun, Chang, Xinyue, Li, Yixuan, Li, Zening, Sun, Hongbin
• Format: Article
• Language: English
• Subjects: Antarctic electricity-heat integrated energy system; Probabilistic characteristics of renewable energy; Reliability-oriented planning
• ISSN: 0142-0615
• DOI: 10.1016/j.ijepes.2024.110346

•Develop a framework for solving planning model for Antarctic considering reliability and economy.•Analyze probabilistic characterization models suitable for renewable energy in Antarctica.•Propose a numerical method to transform the implicit expression of the reliability function to explict ones. In order to maintain the supply adequacy of energy for the Antarctic integrated energy system, which in turn supports normal scientific research activities and the life safety of researchers, it is imperative that the reliability criterion be applied in planning issues. In this paper, a reliability-constrained planning model for the Antarctic electricity-heat integrated energy system is proposed, thus the optimal allocation of the wind turbines, photovoltaic, diesel engine, battery storage system, and Hydrogen storage system are obtained. Firstly, the reliability-oriented planning model applicable to the Antarctic integrated energy system is constructed. In particular, the improved Gaussian mixture model is introduced to accurately describe the probabilistic characteristics of renewable energy in Antarctica considering its unique geographical location and operating environment. Then, a rolling horizon based Sequential Monte Carlo method is developed to address the problem of intractable reliability constraints in the planning formulation. More specifically, the explicit reliability function is exacted by approximation function, which can be easily added to the planning model. Finally, the online-offline numerical approach is proposed to speed up the online computation. The validity and feasibility of the proposed method is verified on the actual Antarctic energy system. The results indicate that the optimal allocation results calculated by proposed method can guarantee the reliable supply of the Antarctic energy system.