Optimal energy management applying load elasticity integrating renewable resources
Mohamed Mustafa Ragab1, Rania A Ibrahim2, Hussein Desouki1
1Arab Academy for Science, Technology & Maritime Transport, Alexandria, Egypt.
Scientific Reports
|September 11, 2023
Summary
Integrating renewable energy resources (RESs) with demand side management (DSM) optimizes smart city energy. This approach reduces electricity costs, carbon emissions, and peak-to-average ratio (PAR) effectively.
Area of Science:
- Electrical Engineering
- Smart Cities
- Renewable Energy Systems
Background:
- Smart city development faces challenges in infrastructure costs and meeting energy demands.
- Integrating renewable energy resources (RESs) and demand side management (DSM) offers a solution for efficient energy management.
- Balancing generation and load profiles is crucial for minimizing costs and environmental impact.
Purpose of the Study:
- To optimize energy management in smart cities by integrating RESs and DSM.
- To achieve multi-objective goals including cost reduction, carbon emission mitigation, and improved load profiles.
- To address uncertainties in RESs generation and load demands.
Main Methods:
- Optimal allocation and sizing of RESs using the Sea-Horse Optimization (SHO) algorithm.
- Implementation of demand side management (DSM) strategies for flexible load profiling.
- Comprehensive simulation on the IEEE 69-bus system under various scenarios.
- Comparative analysis of SHO against Genetic Algorithm (GA), Grey Wolf Optimization (GWO), Whale Optimization (WO), and Zebra Optimization (ZO).
Main Results:
- The Sea-Horse Optimization (SHO) algorithm achieved optimal sizing and allocation of RESs.
- Integration of elastic load shifting with optimal RESs allocation significantly reduced power losses.
- The study demonstrated a substantial reduction in the peak-to-average ratio (PAR) of the load.
- SHO required significantly smaller RESs compared to other optimization techniques for comparable results.
Conclusions:
- Combining elastic load shifting with optimally sized and allocated RESs via SHO provides an effective solution for smart city energy management.
- This integrated approach successfully minimizes total power losses and reduces the peak-to-average ratio (PAR).
- The findings highlight the efficiency of SHO in optimizing renewable energy integration under load and generation uncertainties.
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