An integrated approach using active power loss sensitivity index and modified ant lion optimization algorithm for DG...

Area of Science:

• Electrical Engineering
• Power Systems Engineering
• Optimization Techniques

Background:

• Distribution power networks (DPNs) face significant power losses and voltage deviations due to high demand.
• Voltage deviations beyond limits can lead to voltage instability issues in DPNs.
• Minimizing power loss is crucial for the economic operation of electric grids.

Purpose of the Study:

• To propose an integrated optimization approach for minimizing power loss and voltage deviation in DPNs.
• To optimize the placement and sizing of multiple distributed generation (DG) units.
• To enhance the efficiency and stability of DPNs through strategic DG integration.

Main Methods:

• An integrated approach combining an analytical method (Active Power Loss Sensitivity index) and a metaheuristic algorithm (Modified Ant Lion Optimization).
• The Modified Ant Lion Optimization (MALO) algorithm incorporates Lévy flights for improved exploration.
• Optimization of multiple photovoltaic (PV) and wind turbine (WT) units for multi-objective functions.

Main Results:

• Significant reduction in total active power loss across IEEE 69-bus, 85-bus, and 118-bus radial DPNs with PV and WT allocations.
• Substantial minimization of voltage deviation in the tested DPNs following DG integration.
• The proposed APLS-MALO integrated approach demonstrated superior performance compared to ALO, BAT, and ABC algorithms.

Conclusions:

• The integrated APLS-MALO approach effectively minimizes power loss and voltage deviation in DPNs.
• The MALO algorithm, enhanced with Lévy flights, provides near-optimal solutions for DG placement and sizing.
• The study validates the proposed method's superiority through statistical metrics and comparative analysis.