Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology
Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology
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DOI：
10.1016/j.energy.2023.128430
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发表时间：
2023-07
期刊：
影响因子：
9
通讯作者：
Vahid Shahbazbegian;Farnam Dehghani;M. Shafiyi;M. Shafie‐khah;H. Laaksonen;H. Ameli
中科院分区：
文献类型：
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作者：
Vahid Shahbazbegian;Farnam Dehghani;M. Shafiyi;M. Shafie‐khah;H. Laaksonen;H. Ameli
可再生资源和能源储存系统并入微电网，对于实现可持续能源消耗和节约能源成本至关重要。本研究对多能源微电网中的各种储存系统进行了深入的分析，包括天然气和电力子系统，并综合考虑了技术经济方面的考虑。为了实现这一目标，开发了一种方法，包括便于确定微电网内的最佳存储系统位置的优化模型。该模型考虑了各种因素，如燃气和电力子系统的运营和排放成本，并结合了敏感度分析来计算与存储系统相关的投资和维护成本。由于考虑了电力系统中的电压和电流关系以及天然气系统中的气体压力和流量，所建立的模型被归类为混合整数非线性规划模型。针对求解过程的复杂性，提出了一种基于外逼近/等式松弛/增广惩罚的分解方法。这项研究为储能系统的成本、潜在的运营成本节约以及微电网运营的技术考虑提供了科学的见解。结果表明，改进的分解方法具有显著的优势，包括减少了求解时间和减少了迭代次数。
Renewable resources and energy storage systems integrated into microgrids are crucial in attaining sustainable energy consumption and energy cost savings. This study conducts an in-depth analysis of diverse storage systems within multi-energy microgrids, including natural gas and electricity subsystems, with a comprehensive focus on techno-economic considerations. To achieve this objective, a methodology is developed, comprising an optimization model that facilitates the determination of optimal storage system locations within microgrids. The model considers various factors, such as operating and emission costs of both gas and electricity subsystems, and incorporates a sensitivity analysis to calculate the investment and maintenance costs associated with the storage systems. Due to the incorporation of voltage and current relations in the electricity subsystem as well as gas pressure and flow considerations in the natural gas subsystem, the developed model is classified as a mixed-integer nonlinear programming model. To address the inherent complexity in solving, a decomposition approach based on Outer Approximation/Equality Relaxation/Augmented Penalty is developed. This study offers scientific insights into the costs of energy storage systems, potential operational cost savings, and technical considerations of microgrid operation. The results of the developed decomposition approach demonstrate significant advantages, including reduced solving time and a decreased number of iterations.