Development of fuzzy logic-based demand-side energy management system for hybrid energy sources

• Published in: Energy conversion and management. X Vol. 18; p. 100354
• Main Authors: Ibrahim, Oladimeji, Bakare, Mutiu Shola, Amosa, Temitope Ibrahim, Otuoze, Abdulrahman Okino, Owonikoko, Waheed Olaide, Ali, Esraa Mousa, Adesina, Lambe Mutalub, Ogunbiyi, Olalekan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2023; Elsevier
• Subjects: Battery system; Demand side management; Energy management controller; Fuzzy logic; Levelized cost of energy; Solar PV; Fuzzy logic; Levelized cost of energy; Demand side management; Battery system; Energy management controller; Solar PV
• ISSN: 2590-1745; 2590-1745
• DOI: 10.1016/j.ecmx.2023.100354

•A hybrid energy system combining grid and solar PV/Battery was designed for powering commercial building loads.•An integrated energy management scheme based on fuzzy logic control was designed for commercial load demand management.•A techno-economical analysis was performed to determine the cost-saving potentials.•Capacity planning was highly prioritized, considering energy, economy, environment and grid dependence. Demand-side energy management techniques, such as load shielding, shifting, and delaying appliance operation during peak periods, are typically used to reduce electricity costs at the expense of users’ comfort. To address these challenges, especially where operational delays are unacceptable, distributed generation (DG) is frequently incorporated into the grid system to improve power balance and total energy costs. However, dynamic load demands and varying outputs from renewable DG sources such as solar photovoltaic (PV) systems make energy management in microgrids (MGs) extremely challenging. Moreover, most of the existing studies in this domain focus on objective functions that are geared on optimising the economic balance between cost and value of MG operation over a certain time period. Nevertheless, research that took into consideration the stochastic behaviour of DG’s subsystems in addition to cost and benefit of MG operation are still limited. This current study proposed a fuzzy logic control (FLC) integrated energy management system (EMS) for commercial loads with hybrid grid-solar PV/battery energy system. The proposed technique intelligently selects energy sources using the grid energy cost and the state of charge (SoC) of the solar PV/battery at any time of the day. The EMS operate the loads at a reduced cost without any operational delay or shifting. The system was implemented in the MATLAB/Simulink environment, and the techno-economic feasibility of energy cost savings was investigated by comparing the developed scheme with the Homer hybrid energy system model for a hotel building. The developed EMS reduced energy costs by an average of 11.87 % per day and 7.94 % over a 20-year lifetime.