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Nanibabu, Sampatirao, Baskaran, Shakila, Marimuthu, Prakash. (1404). Energy Efficiency and Emission Reduction through Smart Demand Side Management with Hybrid Renewable Integration Using Modified Coati Optimization Algorithm. سامانه مدیریت نشریات علمی, (), -. doi: 10.22098/joape.2025.16074.2242
Sampatirao Nanibabu; Shakila Baskaran; Prakash Marimuthu. "Energy Efficiency and Emission Reduction through Smart Demand Side Management with Hybrid Renewable Integration Using Modified Coati Optimization Algorithm". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.22098/joape.2025.16074.2242
Nanibabu, Sampatirao, Baskaran, Shakila, Marimuthu, Prakash. (1404). 'Energy Efficiency and Emission Reduction through Smart Demand Side Management with Hybrid Renewable Integration Using Modified Coati Optimization Algorithm', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.22098/joape.2025.16074.2242
Nanibabu, Sampatirao, Baskaran, Shakila, Marimuthu, Prakash. Energy Efficiency and Emission Reduction through Smart Demand Side Management with Hybrid Renewable Integration Using Modified Coati Optimization Algorithm. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.22098/joape.2025.16074.2242

Energy Efficiency and Emission Reduction through Smart Demand Side Management with Hybrid Renewable Integration Using Modified Coati Optimization Algorithm

Journal of Operation and Automation in Power Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 06 آذر 1404    اصل مقاله (5.04 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.16074.2242
نویسندگان
Sampatirao Nanibabu؛ Shakila Baskaran؛ Prakash Marimuthu*
Department of Electrical and Electronics Engineering, National Institute of Technology Nagaland, Dimapur, 797103, Nagaland, India.
چکیده
    Excessive reliance on conventional energy sources and inadequate load management strategies have triggered severe climatic impacts and created an imbalance between energy supply and demand. To address this issue, integrating smart, controllable devices with renewable energy sources and battery energy storage systems within the distribution grid enables consumers to participate actively in demand-side management strategies. Demand-side management enhances demand flexibility, reduces energy procurement costs, minimizes peak load fluctuations, and decreases emissions. This study introduces a novel demand-side management framework that includes a life cycle analysis of hybrid renewable energy systems optimized using the Modified Coati Optimization Algorithm. A hybrid renewable energy system comprising solar photovoltaic panels, wind turbines, and battery energy storage systems is deployed across the residential, commercial, and industrial sectors to assess the impact of demand-side management on cost savings, peak demand reduction, and emissions mitigation. The proposed optimization method is compared with Particle Swarm Optimization, Grey Wolf Optimization, and the standard Coati Optimization Algorithm. The results indicate that the Modified Coati Optimization Algorithm achieves cost savings of 31.45%, 31.89%, and 28.21% in the residential, commercial, and industrial sectors, respectively. Peak load reductions of 37.64%, 29.37%, and 25.63% are also achieved. Significant emission reductions are documented as totaling 3,743.11 kilograms of carbon dioxide, 28.37 kilograms of sulfur dioxide, and 17.25 kilograms of nitrogen oxides. The improved convergence of the Modified Coati Optimization Algorithm strengthens the implementation of demand-side management, making it a vital tool for optimizing energy management in smart grids.
کلیدواژه‌ها
Demand side management؛ smart grid؛ renewable energy sources؛ battery energy storage system؛ coati optimization algorithm
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