Region-Specific Optimization of Coincidence Factors in LV Distribution Networks: A Case Study of Zonguldak Using bPRO EDŞ

Abstract

This study investigates the impact of applying optimized coincidence factors on the efficiency and cost-effectiveness of electricity distribution networks. Coincidence factors quantify the probability of multiple consumers drawing power simultaneously. Their absence or inappropriate application, particularly in multi-residential systems, often results in oversized cables and inflated infrastructure costs. While Turkey’s Electrical Internal Installation Regulation provides guidelines for internal wiring, a standardized methodology for their use in distribution systems remains absent. Using empirical data collected from 5422 residential units in Zonguldak Province, this study analyzed two scenarios using the bPRO-EDŞ software: one assuming full simultaneity (coincidence factor = 1.0), and another incorporating locally optimized values based on actual demand behavior. The technical and financial outcomes of both scenarios were assessed. Results revealed significant cost savings without compromising system reliability. In an urban case, total cable-related investment dropped from 665 633.63 TL to 375 347.48 TL. Similarly, a rural example demonstrated a reduction from 161 950.39 TL to 110 732.89 TL. These findings underscore the critical importance of data-driven, region-specific planning for sustainable energy infrastructure. The methodology presented in this paper offers a replicable model for other provinces, promoting nationwide improvements in the design, planning, and economic viability of electricity distribution networks. It emphasizes the role of empirical data and modern planning tools in transforming traditionally overengineered systems into lean, resilient, and cost-effective infrastructures.

Cite this article as: O. K.k and F. Alhajomar, "Region-specific optimization of coincidence factors in LV distribution networks: A case study of zonguldak using bPRO EDŞ," Electrica, 2026, 26, 0119, doi: 10.5152/electrica.2026.25119.