Optimal Robust Energy Management of Microgrid with Fuel Cells, Hydrogen Energy Storage Units and Responsive Loads

Alireza Akbari-Dibavar, M. Daneshvar, B. Mohammadi-ivatloo, K. Zare, A. Anvari‐Moghaddam
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引用次数: 4

Abstract

To provide net-zero emission conditions for the power grid, this paper aims to provide a coordinated operation for the integrated fuel cell and hydrogen storage systems. Given the sustainability feature of the micro power grid system (MPGS) in engaging different types of distributed energy resources, wind turbines and PV panels are used for clean energy production in the MPGS. Moreover, the battery energy storage system is intended for the appropriate usage of renewable energy resources (RERs) outputs. In order to model the stochastic behaviors of the uncertain parameters, the robust optimization approach is applied in the deregulated environment. Indeed, this method is used to consider the worst state of the uncertain parameters’ occurrence with the aim of providing robust conditions in the system. Also, the time-based demand response program is developed for improving the flexibility of the MPGS with a high contribution of the RERs. In this study, the modified IEEE 21-bus test system is selected for validating the studied system. The simulation results prove the effectiveness of the proposed model in optimal energy management of the power grid.
燃料电池、氢储能和响应负荷微电网的最优鲁棒能量管理
为了为电网提供净零排放条件,本文旨在为燃料电池和储氢一体化系统提供协调运行。考虑到微电网系统(MPGS)在吸收不同类型分布式能源方面的可持续性特点,风力涡轮机和光伏电池板被用于微电网系统的清洁能源生产。此外,电池储能系统旨在适当地利用可再生能源(RERs)输出。为了对不确定参数的随机行为进行建模,将鲁棒优化方法应用于非管制环境。实际上,该方法考虑了不确定参数出现时的最坏状态,目的是为系统提供鲁棒条件。此外,基于时间的需求响应程序是为了提高MPGS的灵活性,提高rrs的高贡献。在本研究中,选择改进的IEEE 21总线测试系统对所研究的系统进行验证。仿真结果证明了该模型在电网能量优化管理中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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