Optimal Energy Scheduling of Load Demand with Two-Level Multi-objective Functions in Smart Electrical Grid

T. X. Du (), Kamilia Mehrabi Jorshary, Mirali Seyedrezaei and Valisher Sapayev Odilbek Uglu
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T. X. Du: Harbin Institute of Technology
Kamilia Mehrabi Jorshary: Ohio University
Mirali Seyedrezaei: Colorado School of Mines
Valisher Sapayev Odilbek Uglu: Mamun University

SN Operations Research Forum, 2025, vol. 6, issue 2, 1-23

Abstract: Abstract In this paper, electrical grid scheduling with hybrid demand management via a multi-level optimization approach is implemented. At the upper level, demand management approaches are implemented, and at the lower level, multi-objective functions are optimized. The implementation of demand management approaches, including load shifting and interruption approaches, is carried out. These approaches are optimized subject to power prices in the upstream grid. The multi-objectives like reliability index and operation costs are optimized subject to demand management approaches at the upper level. By using the linear programming technique for the multidimensional analysis of preference (LINMAP) and fuzzy methods, the optimal solution in Pareto solutions for multi-objectives is selected. The performance of the approach is analyzed on the 69-bus network by employing power scheduling and integrating results from mathematical modeling through several case studies. With the implementation of the demand management approaches in optimal power consumption, the reliability index is improved by 0.6% and operating costs are minimized by 2.43% compared to the lack of demand management.

Keywords: Multi-level optimization approach; Demand management approaches; Multi-objective functions; Power prices (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s43069-025-00462-9

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