Preventive framework for resilience enhancement in networked microgrids: A focus on hydrogen integration and optimal energy management

IF 2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Saeed Amini, Omid Safarzadeh, Babak Mozafari
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引用次数: 0

Abstract

The integration of distributed energy resources and smart grid technologies has increased the vulnerability and complexity of modern power systems, especially in the face of extreme events. Enhancing the resilience of power systems is crucial to ensure continuous and reliable electricity supply during and after such events. This paper proposes a preventive framework to enhance the resilience of networked microgrids (NMGs) during extreme events. The framework integrates optimal energy management strategies and preventive resilience enhancement measures, focusing on the coordination and utilization of hydrogen (H2) energy systems and controllable distributed generators (CDGs). The framework leverages capacity-based signals to prompt H2 system owners and CDG operators to prepare for disruptions by fully charging H2 storage tanks and pre-scheduling CDG commitments. By utilizing this proactive energy scheduling, critical loads can be supplied through stationary fuel cells and CDGs, improving overall network resilience. The proposed resilient energy management approach combines optimization techniques to improve the resilience of NMGs and reduce their dependence on the main grid. Numerical simulations demonstrate the effectiveness of the proposed linear model in enhancing the resilience of NMGs and improving their operational performance during extreme events. The contributions of this paper include advancements in understanding NMGs, the development of a preventive framework, integration of H2 energy systems and CDGs, and proposal of effective signalling models.

Abstract Image

增强联网微电网复原力的预防性框架:聚焦氢能集成和优化能源管理
分布式能源资源和智能电网技术的整合增加了现代电力系统的脆弱性和复杂性,尤其是在极端事件面前。提高电力系统的恢复能力对于确保在此类事件发生期间和之后持续可靠地供电至关重要。本文提出了一个预防性框架,以增强联网微电网(NMG)在极端事件中的恢复能力。该框架整合了最佳能源管理策略和预防性弹性增强措施,重点关注氢(H2)能源系统和可控分布式发电机(CDG)的协调和利用。该框架利用基于容量的信号,促使氢能系统所有者和可控分布式发电机运营商做好准备,为氢能储罐充分充电,并预先安排可控分布式发电机的工作。利用这种前瞻性能源调度,可以通过固定式燃料电池和 CDG 为关键负载供电,从而提高整个网络的弹性。所提出的弹性能源管理方法结合了优化技术,可提高非地动发电机的弹性,并降低其对主电网的依赖性。数值模拟证明了所提出的线性模型在极端事件中增强非地动发电机抗灾能力和改善其运行性能的有效性。本文的贡献包括加深了对非地动发电机的理解、开发了一个预防框架、整合了 H2 能源系统和 CDG,并提出了有效的信号模型。
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来源期刊
Iet Generation Transmission & Distribution
Iet Generation Transmission & Distribution 工程技术-工程:电子与电气
CiteScore
6.10
自引率
12.00%
发文量
301
审稿时长
5.4 months
期刊介绍: IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of IET Generation, Transmission & Distribution includes the following: Design of transmission and distribution systems Operation and control of power generation Power system management, planning and economics Power system operation, protection and control Power system measurement and modelling Computer applications and computational intelligence in power flexible AC or DC transmission systems Special Issues. Current Call for papers: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf
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