Optimum placement of distributed generation resources, capacitors and charging stations with a developed competitive...

Area of Science:

• Electrical Engineering
• Optimization Theory
• Power Systems

Background:

• Power distribution systems face challenges with efficiency and voltage stability.
• Optimal placement of distributed generation (DG), electric vehicle (EV) charging stations, and shunt capacitors (SC) is crucial for system performance.

Purpose of the Study:

• To develop a novel, efficient, and robust approach for the optimal placement of DG, EV charging stations, and SCs.
• To improve power efficiency and voltage profiles in power distribution systems.

Main Methods:

• A hybrid optimization model combining Competitive Search Optimization (CSO) with fuzzy and chaotic theory.
• Fuzzy theory for identifying optimal locations of DG and SCs.
• Chaos theory to enhance the local search optimization process.

Main Results:

• Significant enhancements in power index, generation, power losses, and system voltage.
• Demonstrated improvements in accuracy and convergence speed compared to conventional methods.
• Validation on a 69-bus system confirmed the proposed method's superiority.

Conclusions:

• The integrated approach effectively addresses multiple objectives and constraints in power distribution systems.
• The proposed method offers a practical and superior solution for optimizing DG, EV charging stations, and SC placement.
• Results indicate significant benefits for power system planners and operators.