TY - GEN
T1 - Energy Management and Techno-Economic Optimization of an Isolated Hybrid AC/DC Microgrid with Green Hydrogen Storage System
AU - Abdelsalam, Rawan A.
AU - Abdallah, Youssef S.
AU - Shabar, Nour M.
AU - Afifi, Omar A.
AU - Fouda, Mostafa H.
AU - El-Deib, Amgad A.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Abstract-This paper proposes a hybrid AC/DC microgrid consisting of Photovoltaics (PV) panels, wind turbines (WT), a diesel generator (DG), and a hydrogen storage system. An energy management system (EMS) algorithm using MATLAB and Simulink was designed to efficiently manage equipment in the Hybrid Microgrid with aim of maximizing the contribution of renewable sources and minimizing the operation of the diesel generator. A sensitivity analysis of the installed capacity for both PV and Wind was performed and it was found that the optimum ratings were 300 kW, and 200kW for the P V and Wind respectively. The optimum size of the tank to achieve the minimum levelized cost of electricity (LCOE) was determined to be 40kg of stored H2, this would achieve an LCOE of 1.565 EGP/kWh which is lower than the LCOE of 2.213EGP/kWh in case the load is completely dependent on the diesel generator. The optimum ratings of the electrolyzer, fuel cell, and diesel generator were found to be 150 kW, 100kW, and 250kW respectively. In addition, a sensitivity analysis was carried out for different parameters of the system such as project discount rate and annual increase rate in fuel price. Moreover, the carbon dioxide (CO2) emissions of the load on the diesel generator alone and the micro-grid are 9.187 × 105kg/ year and 2.557 × 105kg/ year respectively. Using the proposed sizing of the micro-grid leads to a decrease in emissions by around 72.44 % per year.
AB - Abstract-This paper proposes a hybrid AC/DC microgrid consisting of Photovoltaics (PV) panels, wind turbines (WT), a diesel generator (DG), and a hydrogen storage system. An energy management system (EMS) algorithm using MATLAB and Simulink was designed to efficiently manage equipment in the Hybrid Microgrid with aim of maximizing the contribution of renewable sources and minimizing the operation of the diesel generator. A sensitivity analysis of the installed capacity for both PV and Wind was performed and it was found that the optimum ratings were 300 kW, and 200kW for the P V and Wind respectively. The optimum size of the tank to achieve the minimum levelized cost of electricity (LCOE) was determined to be 40kg of stored H2, this would achieve an LCOE of 1.565 EGP/kWh which is lower than the LCOE of 2.213EGP/kWh in case the load is completely dependent on the diesel generator. The optimum ratings of the electrolyzer, fuel cell, and diesel generator were found to be 150 kW, 100kW, and 250kW respectively. In addition, a sensitivity analysis was carried out for different parameters of the system such as project discount rate and annual increase rate in fuel price. Moreover, the carbon dioxide (CO2) emissions of the load on the diesel generator alone and the micro-grid are 9.187 × 105kg/ year and 2.557 × 105kg/ year respectively. Using the proposed sizing of the micro-grid leads to a decrease in emissions by around 72.44 % per year.
KW - Energy Management System
KW - Hybrid Microgrid
KW - Hydrogen Storage System
KW - Renewable Energy Resources
UR - http://www.scopus.com/inward/record.url?scp=85160202953&partnerID=8YFLogxK
U2 - 10.1109/CPERE56564.2023.10119587
DO - 10.1109/CPERE56564.2023.10119587
M3 - Conference contribution
AN - SCOPUS:85160202953
T3 - IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
BT - IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
Y2 - 19 February 2023 through 21 February 2023
ER -
