Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation...

Area of Science:

• Electrical Engineering
• Power Systems
• Optimization Algorithms

Background:

• Microgrids require efficient energy management for grid-connected and islanded operations.
• Optimal capacitor allocation minimizes energy losses and improves voltage stability.
• Non-dispatchable distributed generations introduce variable load conditions.

Purpose of the Study:

• To determine the optimal size and location of constant and switchable capacitors in microgrids.
• To minimize energy losses cost, peak power losses cost, and capacitor cost.
• To evaluate performance across different load levels and two microgrid operational modes.

Main Methods:

• The spotted hyena optimizer (SHO) algorithm was employed for optimization.
• Simultaneous allocation of capacitors in grid-connected and islanded modes was considered.
• A 24-bus radial distribution network with various load types (constant power, current, impedance) was used for implementation.

Main Results:

• SHO demonstrated superior performance compared to GWO and GA in reducing losses and enhancing voltage profiles.
• Significant cost reductions were achieved: $105,780 total cost and $100,560.54 net savings for active power injection DGs.
• For active and reactive power injection DGs, SHO achieved $89,568 total cost and $76,850.46 net savings.

Conclusions:

• The SHO algorithm is effective for optimal capacitor allocation in microgrids under varying conditions.
• The proposed method leads to greater annual net savings through reduced energy loss costs.
• Efficient capacitor placement enhances microgrid stability and economic performance.