Open AccessMulti-Objective Optimization for Volt-Var Parameter Tuning: Reducing Losses and Voltage Unbalance in Distribution Systems
Author(s) -
Arthur E. S. Ribeiro,
Francisco C. R. Coelho,
Wesley Peres
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3573245
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The integration of distributed energy resources (DERs) into power grids requires new methodologies to optimize and efficiently control distribution network parameters. This paper presents a multi-objective optimization approach to enhance the operation of distribution networks with high penetration of distributed generation (DG). The proposed method jointly optimizes the active power output of dispatchable DG units and the Volt-Var control parameters of photovoltaic (PV) inverters to minimize power losses and voltage unbalance, ensuring compliance with the 2% limit set by Brazilian regulations. The optimization problem is solved using NSGA-II (Non-dominated Sorting Genetic Algorithm II) and MOPSO (Multi-Objective Particle Swarm Optimization), with three-phase power flow analysis performed using OpenDSS integrated into a Python-based framework. Simulations on the IEEE 123-bus system demonstrate that coordinated control of intermittent and dispatchable sources improves voltage profiles, reduces system losses, and significantly mitigates voltage unbalance.