Optimal scheduling in demand-side management based grid-connected microgrid system by hybrid optimization approach...

Area of Science:

• Electrical Engineering
• Optimization Techniques
• Renewable Energy Systems

Background:

• Demand Side Management (DSM) is crucial for reducing electricity generation costs.
• Integrating renewable energy sources like wind power presents challenges due to variability.
• Microgrid optimization is essential for efficient energy distribution and cost reduction.

Purpose of the Study:

• To analyze wind speed to power conversion models for maximum wind penetration.
• To implement an economic DSM strategy for load demand restructuring.
• To optimize microgrid distribution systems using a novel hybrid optimization tool.

Main Methods:

• Analysis of wind speed to power conversion models.
• Implementation of an economic Demand Side Management (DSM) strategy.
• Cost-effective optimization of microgrids using the hybrid CSAJAYA algorithm.
• Consideration of grid participation, pricing, valve point loading, and wind uncertainty.

Main Results:

• A 3-5% reduction in generation costs was achieved with 20% DSM participation.
• The hybrid CSAJAYA tool demonstrated superior performance compared to other optimization methods.
• The proposed approach effectively managed wind energy uncertainty and grid complexities.

Conclusions:

• The hybrid CSAJAYA optimization tool is effective for microgrid cost reduction.
• Demand Side Management (DSM) significantly contributes to lowering overall system generation costs.
• The study highlights the practicality and effectiveness of the proposed optimization strategy in real-world scenarios.