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A multi-criteria economic and technical power optimization in intelligent off-electrical grid considering hybrid management of consumption and centralized participation of the hydrogen system

Alisher SherovDepartment of Computer Science, Kardan University, Kabul, Afghanistan. [email protected]Khashimova NaimaDepartment of Macroeconomic Policy and Forecasting, Tashkent State University of Economics, Tashkent, UzbekistanMash’al SaidovEconomic Sciences Department, Rector of Shahrisabz State Pedagogical Institute, Shahrisabz, UzbekistanQodirov FarruxDepartment of Mathematics and Applied Mathematics, Shahrisabz State Pedagogical Institute, Shahrisabz, UzbekistanShodiev KamoliddinDepartment of Faculty of Economics, Samarkand Branch of Tashkent State University of Economics, Samarkand, UzbekistanDilnavoz ShavkidinovaDepartment of Economics, "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University, 39, Kori Niyoziy Street, Mirzo Ulugbek District, 100012, Tashkent, UzbekistanKomilov KamolTashkent University of Architecture and Civil Engineering, Tashkent, Uzbekistan

2026en

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Litsenziya: cc-by-nc-nd

ABI

Annotatsiya

This study proposes energy operation in an intelligent off-electrical grid (IOEG) with hybrid management of demand and employing hydrogen system by three layers multi-criteria optimization approach. In up and middle layers, hybrid management of consumption in demand side is proposed. The up layer is formulated considering offer price approach for load clipping (LC) strategy. The load shifting (LS) strategy considering optimal rate of consummation is proposed in middle layer. In low layer, maximize consumer satisfaction as social objective, improving profile of voltage as technical objective and minimizing power production costs as economic objective are optimized as multi-criteria optimization considering managed consumption in up and middle layers. In addition, hydrogen system as power storage is employed for centralized power production (CPG) in lower layer. The suggested optimization approach is formulated in GAMS software. The Shannon entropy and improved epsilon-constraint methods are used for solving decision making and multi-criteria optimization in low layer. The 33-nodes test grid is used as IOEG and implementing suggested optimization approach. In the end, the results demonstrate the optimum values of objectives with the LS, LC and CPG strategies, achieved through a comparative analysis of different case studies. With implementing LS, LC and CPG strategies, the consumer satisfaction is maximized by 9.2%, the voltage index is improved by 7.52%, and the power production cost is minimized by 9.18%.

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DOI: 10.1038/s41598-026-63070-5

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