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

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 a...

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Vydané v:Operations Research Forum Ročník 6; číslo 2; s. 66
Hlavní autori: Du, T. X., Jorshary, Kamilia Mehrabi, Seyedrezaei, Mirali, Uglu, Valisher Sapayev Odilbek
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.06.2025
Springer Nature B.V
Predmet:
Alternative energy
Applications of Mathematics
Brief Report
Business and Management
Consumers
Cost control
Demand
Demand side management
Electricity
Energy consumption
Energy management
Linear programming
Load shifting
Math Applications in Computer Science
Mathematical and Computational Engineering
Multidimensional methods
Multiple objective analysis
Operating costs
Operations Research/Decision Theory
Optimization
Optimization algorithms
Prices
Reliability
Scheduling
Smart grid
Topical Collection on Quantitative Methods for Sustainable Engineering and Environmental Management
Power prices
Demand management approaches
Multi-level optimization approach
Multi-objective functions
ISSN:2662-2556, 2662-2556
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:2662-2556
2662-2556
DOI:10.1007/s43069-025-00462-9