An improved Sinh Cosh optimizer for optimizing energy management system in nano-grids.
Asmaa H Rabie1,2, Sally Elghamrawy3,4, Aboul Ella Hassanien5,6
1Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt. asmaahamdy@mans.edu.eg.
Scientific Reports
|September 12, 2025
Summary
The Improved Sinh Cosh Optimizer (ISCHO) significantly reduces Nano-grid operational costs by optimizing energy management. This novel algorithm outperforms traditional methods, ensuring efficient use of renewable energy sources.
Area of Science:
- * Electrical Engineering
- * Computer Science
- * Optimization Algorithms
Background:
- * Integrating renewable energy into Nano-grids necessitates efficient energy management systems.
- * Traditional optimization methods face challenges in balancing diverse energy sources (wind, solar, natural gas, batteries), leading to suboptimal performance and increased costs.
- * A need exists for advanced algorithms to optimize Nano-grid operations and reduce expenses.
Purpose of the Study:
- * To introduce the Improved Sinh Cosh Optimizer (ISCHO), a novel meta-heuristic algorithm.
- * To enhance the energy management system in Nano-grids for optimized energy usage and minimized operational costs.
- * To demonstrate ISCHO's superiority over traditional methods in cost reduction and efficiency.
Main Methods:
- * Development of the Improved Sinh Cosh Optimizer (ISCHO) algorithm, inspired by Sinh and Cosh functions.
- * Dynamic adjustment of exploration-exploitation balance for efficient search space exploration and convergence.
- * Optimization of key parameters for energy generation and storage within Nano-grids.
Main Results:
- * ISCHO achieved optimal fitness values (0) at population sizes of 500 and 1000, indicating significant cost reduction.
- * ISCHO demonstrated superior performance compared to the Chimp algorithm, with a fitness value of 0 versus 23.768 × 10-6.
- * ISCHO exhibited competitive execution times (e.g., 3.00862 s for population 500) and outperformed other algorithms on benchmark functions.
Conclusions:
- * ISCHO is a robust and effective solution for real-time energy management in Nano-grids.
- * The algorithm significantly minimizes total operational costs, enhancing the economic viability of Nano-grids.
- * ISCHO's efficiency and speed make it a practical choice for real-world Nano-grid applications.
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