Improved Kron Method for Linear Losses Coefficient

• Published in: 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA) pp. 352 - 357
• Main Authors: Raharjo, Raka Maulana, Sarjiya, Sarjiya, Wijaya, Fransisco Danang, Multa Putranto, Lesnanto, Yasirroni, Muhammad
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14-11-2023
• Subjects: Distance measurement; Generators; improved Kron method; kron losses; Load flow; MATPOWER; Optimization; Power losses; Power system dynamics; Renewable energy sources; Voltage
• ISSN: 2832-8353
• DOI: 10.1109/ICAMIMIA60881.2023.10427695

Efficient power system operations depend on one of some aspects that is accurately computing power losses. However, the widely-used Newton Raphson (NR) method for solving either Alternating Current Power Flow (ACPF) or Alternating Current Optimal Power Flow (ACOPF) which nonlinear have a drawback. It needs to recalculate loss every iteration when power system state change leading to convergence issues. To solve this problem, Kron losses coefficient emerged as a solution to quantify overall power losses based on NR results values like generator real output, generator reactive output, bus voltage magnitude, and bus voltage angle. This study proposes an improved method, The Kron-Taylor method which compared with the Kron's Original method and Kron-Naïve method using MATPOWER cases 9, 30, and 141, considering load multipliers ranging from 0.8 to 1.20 in 0.01 time step. This research highlights that Kron-Taylor fit to be the optimal choice for linear expressions, works well using 0.01 time step for load multipliers ranging from 0.95 to 1 times, and it performs better where Kron-Taylor's absolute average error loss in those range is 0.130 MW. In contrast, Kron-Naïve and original Kron methods have larger absolute average error losses of 0.328 MW and 0.151 MW, respectively.