Techno-economic analysis of distribution system at various load models using MEWOA algorithm.

Area of Science:

• Electrical Engineering
• Optimization Algorithms
• Power Systems

Background:

• Increasing electricity demand necessitates integrating distributed energy resources (DERs) into distribution systems (DS).
• Suboptimal DER integration leads to technical challenges including power quality, stability, reliability, and voltage management issues.
• Effective optimization techniques are vital for addressing DER integration challenges.

Purpose of the Study:

• To propose and evaluate the Multi-Objective Evolution of the Whale Optimisation Algorithm (MEWOA) for optimal DER integration into DS.
• To enhance voltage profiles, reduce power loss (P_Loss), and minimize operational costs.
• To demonstrate the superiority of MEWOA over existing optimization algorithms.

Main Methods:

• Utilizing MEWOA, inspired by whale hunting strategies, to optimize DER location and sizing.
• Considering multiple objectives: voltage variation, P_Loss reduction, and operational cost.
• Conducting extensive simulations on the Indian 28-bus and IEEE 69-bus distribution systems.

Main Results:

• Significant improvement in voltage profiles across the distribution systems.
• Demonstrated reduction in P_Loss, leading to cost savings and revenue generation.
• MEWOA exhibited faster convergence and superior solution quality compared to GOA, DA, and WOA.

Conclusions:

• MEWOA is a successful and efficient optimization technique for DER integration into DS.
• The proposed approach enhances distribution system performance, reduces operational expenses, and mitigates environmental impact.
• Optimized DER integration using MEWOA leads to improved power system efficiency and economic benefits.