📋 Case Study

Distribution Network Reinforcement

Excessive voltage drop (>8%) on 400 V feeders during evening EV charging peaks; neutral conductor overheating

🏗️ Project Overview

Urban LV/MV network upgrade in aging city district with rising EV charging demand

🎯 Challenge

Excessive voltage drop (>8%) on 400 V feeders during evening EV charging peaks; neutral conductor overheating

🔧 Design Approach

Three-phase unbalanced load flow with detailed cable modeling, including skin effect and neutral current harmonics; dynamic load profiling based on smart meter clusters

📐 Design Diagram

Distribution Network Reinforcement Substation\n400 V Phase A Phase B Phase C Neutral EV Cluster Smart Meter Cluster ΔV_ph = −34.2 V |I_N| = 182 A >8% Drop Neutral Overheat Dynamic Load Profiling 3-Phase Unbalanced Flow\nSkin Effect • Harmonics

AI-generated project design illustration

📐 Key Calculations

Neutral Current Magnitude

|I_N| = √(I_a² + I_b² + I_c² − I_a·I_b − I_b·I_c − I_c·I_a)
Result: 182 A
Exceeded 150 A rating → prompted neutral doubling

Feeder Voltage Drop (Unbalanced)

ΔV_ph = I_a·Z_aa + I_b·Z_ab + I_c·Z_ac
Result: −34.2 V (Phase A)
Validated need for distributed SVG at mid-feeder

📊 Results

Max voltage drop reduced from −38.5 V to −6.1 V; neutral temperature reduced by 22°C; feeder loading normalized to <72% peak

💡 Lessons Learned

  • Balanced load flow grossly underestimates neutral stress—unbalanced modeling is non-negotiable for modern distribution
  • EV clustering requires time-synchronized load profiles—not static diversity factors

Key Takeaways

  • 1Balanced load flow grossly underestimates neutral stress—unbalanced modeling is non-negotiable for modern distribution
  • 2EV clustering requires time-synchronized load profiles—not static diversity factors