1- Department of Electrical Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran, yaser.barfizad@uok.ac.ir 2- Department of Electrical Engineering, Imam Khomeini Marine Science University, Nowshahr, Iran , r.moradpour@ikhnsu.ac.ir
Abstract: (8 Views)
This paper presents the design, development, and simulation of an intelligent hierarchical Energy Management System (EMS) for a floating marine hybrid power network. The system architecture integrates multiple distributed energy resources (DERs), including synchronous diesel generators, proton exchange membrane fuel cells (PEMFCs), and lithium-ion batteries, to reliably supply a 630 kVA, 380 V, 50 Hz three-phase microgrid. The EMS is built upon a novel three-layer control strategy based on a Follower Load Deterministic Base-Rule logic, enabling dynamic power source coordination and scenario-based load allocation. The proposed static allocation and LC filter reduced dynamic response times by 60% and harmonic distortion by 28%, respectively, enhancing both stability and power quality for mission-critical operations. A MATLAB/Simulink environment was used to implement and validate the proposed EMS, capable of managing 59 primary operational states and one overload condition. Simulation scenarios include Initial Load, Normal Navigation, and Combat Mode, allowing comprehensive evaluation of the system's performance under varying power demands and operating conditions. The results demonstrate that the proposed EMS effectively maintains power balance, reduces unnecessary diesel generator use, optimizes fuel cell operation, and enhances battery utilization. This study provides a scalable and modular framework for intelligent power management in isolated marine environments, laying the groundwork for future implementation of AI-driven predictive control and the integration of renewable energy sources into floating microgrids.
Barfizad Y, Moradpour R. A Hierarchical Energy Management and Power Quality Enhancement System for Floating Marine Hybrid Power Networks: Dynamic Control and Filtering Approach. تحقیقات نوین در سیستمهای قدرت هوشمند 2026; 15 (1) :85-105 URL: http://jeps.dezful.iau.ir/article-1-572-en.html