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Development of operation strategy for PV- fuel cell hybrid power system to maximize efficiency and minimize stress Indriawati, Katherin; Nawangsih, Nawangsih; Ekatiara, Cindy Reviko
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1219-1229

Abstract

This study explores the development of an energy management strategy (EMS) using a modified external energy management strategy (EEMS) for a hybrid PV-fuel cell power system. The primary aim was to address efficiency challenges and reduce the premature aging of fuel cells, batteries, and supercapacitors (SCs) caused by excessive stress. Incorporating photovoltaic (PV) energy as an additional renewable energy source (RES) has proven to improve the efficiency of the hybrid system. The EEMS-based strategy reduces hydrogen consumption by prioritizing the energy supply from the battery and SC. However, the traditional EEMS approach introduces chattering phenomena that can negatively impact system lifespan. By modifying the EEMS optimization problem, the modified EEMS effectively mitigates chattering, maintaining the battery's state of charge (SOC) and the DC bus voltage within specified ranges, while also reducing stress on the battery and SC. The results demonstrate a significant enhancement in both system performance and efficiency.
A comparative study of pi and eems on emu for hybrid fuelcell power systems Ekatiara, Cindy Reviko; Indriawati, Katherin
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the Energy Management Unit (EMU) for a hybrid power system integrating PEMFC, batteries, supercapacitors, and Photovoltaic (PV) as renewable energy sources. The EMU is designed to support power supply, reduce the load on the PEMFC, and enhance operational efficiency and reliability. It intelligently manages power distribution by adjusting the use of energy sources based on system conditions, such as battery state of charge (SOC), load changes, or PV energy availability. Two types of management algorithms used in the EMU were tested: Proportional Integral (PI) and External Energy Management Strategy (EEMS). The comparison results show that EEMS outperforms PI in terms of stability and efficiency, with an average efficiency of 88.85% for EEMS compared to 88.77% for PI. Furthermore, the EEMS method demonstrates superior performance by maintaining minimal fluctuations ranging from 0.02 to 0.03, even under dynamic load conditions, while the PI method shows greater fluctuations, varying between 0.05 and 0.08.