Neighbourhood power distribution Live model

You operate the 500 kVA transformer and low-voltage feeder that supply 150 homes and their electric vehicles. Overload heats the insulation and ages it fast; a long feeder lets the voltage sag at the far end. One step is 5 minutes.

What you will learn

Simulator

Time 0 min
Winding hot-spot temperature 59 °C · Transformer loading 42% · Voltage at the feeder end 100.0% · EV charging power 0 kWMV supply✓ 59°42%500 kVAONAN⌂⌂⌂⌂⌂⌂⌂⌂⌂⌂Voltage at the transformer 100.9% → Voltage at the feeder end 100.0% · Voltage regulator tap 0🚗 0 kW · 🌡 30.8 °C · Losses 3.1 kW⊣⊢Neighbouring transformer loading 42%⏱ 14:00 · Energy not supplied 0 kWh
  • Transformer hot spot below 110 °C
  • Hot spot 110–120 °C (faster ageing)
  • Hot spot above 120 °C
  • Homes with voltage in range
  • Homes near the voltage limit
  • Out of range or without supply
  • Fans / capacitor in service
  • About three EVs charging

Controls

Fans raise the cooling rating by about a third; the oil runs cooler for the same load.

Managed modes apply only to drivers enrolled in the programme; the rest charge on arrival.

Closes the tie switch for part of the feeder. The neighbour has its own limit (120 %) and the long tie drops voltage.

150 kvar of reactive support: raises the far-end voltage and trims the current a little.

Each step raises every voltage by 1.25 % — at light load it can push the near end above +5 %.

Direct load control of water heaters and air-conditioners: one block of −15 % of household load for 60 min, then a 2-hour lockout while they recover. Half of the shed energy comes back afterwards.

Indicators

Winding hot-spot temperature
59°C
normal
Transformer loading
42%
normal
Worst voltage deviation
0.9%
normal
Ageing acceleration factor
0.00×
normal
Top-oil temperature53 °C
Outdoor temperature30.8 °C
Insulation life used (equivalent hours)0.0 h
Transformer load202 kW
EV charging power0 kW
Voltage at the transformer100.9 %
Voltage at the feeder end100.0 %
Losses3.1 kW
Energy not supplied0 kWh
Load shed by control0 kWh
EV energy still missing0 %
Neighbouring transformer loading42 %
Cold-load pickup factor1.00 ×

Trend

Winding hot-spot temperature: — °C1600

Crisis scenarios

Level 1 · Heatwave evening EV peak

A heatwave afternoon: air-conditioners are running in every home and 100 electric vehicles will plug in between 17:00 and 20:00 — on top of the evening household peak. Only 70 % of drivers are enrolled in managed charging. Get through to 07:00 without overheating or tripping the transformer, and without leaning on load shedding.

  • Hot spot never above 110 °C
  • Insulation life used ≤ 17 h (no faster than normal)
  • No customer loses supply
  • Load shed ≤ 60 kWh

Level 2 · Neighbour fault: picking up its customers

At 17:00 the neighbouring transformer fails. Half of its homes are switched onto the far end of your feeder through the long tie cable. The extra current flows the whole length of your line: keep every home within ±5 % of nominal voltage (ANSI C84.1 Range A) and avoid overloading your own transformer.

  • Every voltage within ±5 % (from 10 min after the fault)
  • No customer loses supply
  • Hot spot never above 120 °C
  • Load shed ≤ 60 kWh

Level 3 · Cold-load pickup after an outage

A six-hour outage on a freezing evening ends at 18:00. Every heater has been off and every EV is waiting to charge. When the crew closes the switch, the load comes back far above normal — lose diversity and the transformer trips again. Restore without a second outage, keep the voltage in range and the curtailment small.

  • No second outage (energy not supplied = 0)
  • Every voltage within ±5 % (from 10 min after restoration)
  • Load shed ≤ 120 kWh
  • Every EV charged by 07:00 (≤ 2 % missing)
  • Transformer loading stays below the 150 % relay pickup once the switch is closed (from 18:05)

Basis — the model behind the numbers

Every relation the simulator uses, with its source. Constants marked as assumptions are illustrative calibrations.

Household demand follows a daily profile and the weather; each EV charges at 7.2 kW until full.
P_homes = 150 × 2.0 kW × shape(h) × [1 + 0.025·max(0, θa−24) + 0.02·max(0, 15−θa)] × CLPU(t); P_EV = Σ 7.2 kW while plugged and not full[9]Assumption: the load profile, EV numbers, feeder impedances, cold-load parameters and fan rating are illustrative values for a generic suburban feeder, not data from a real network.
Top-oil rise approaches its ultimate value for the present load exponentially, with a time constant of hours.
Δθ_TO,U = 55 K · [(K²R+1)/(R+1)]ⁿ; Δθ_TO ← Δθ_TO,U + (Δθ_TO − Δθ_TO,U)·e^(−Δt/τ_TO), τ_TO = 180 min (ONAN) / 150 min (ONAF); R = P_k/P₀ at the rating K is referred to: 5 (ONAN), 5 × 1.33² ≈ 8.8 (ONAF)[1][2]
The winding hot spot sits above the oil and follows the current within minutes.
Δθ_H,U = 25 K · K^(2m); Δθ_H ← Δθ_H,U + (Δθ_H − Δθ_H,U)·e^(−Δt/(k22·τw)), k22·τw = 8 min; θ_H = θ_A + Δθ_TO + Δθ_H[1][2]Simplification: the hot-spot rise follows one exponential (k21 = 1, time constant k22·τw). The short overshoot of the IEC 60076-7 two-term f2(t) after a sudden load step is not modelled, so the hot spot can briefly read a few kelvin low.
Cooling stage: fans change the exponents and the rating the load is referred to.
ONAN n = 0.8, m = 0.8; ONAF n = 0.9, m = 0.8 (IEEE C57.91), with K and R referred to the ONAF rating (1.33 × ONAN, R ≈ 8.8)[1][3]Assumption: the load profile, EV numbers, feeder impedances, cold-load parameters and fan rating are illustrative values for a generic suburban feeder, not data from a real network.
Insulation ageing relative to the 110 °C reference; doubling roughly every 6–7 K.
F_AA = exp(15000/383 − 15000/(θ_H + 273)); aged hours = Σ F_AA·Δt; F_EQA = Σ F_AA·Δt / Σ Δt; normal life 180 000 h[1][3][2]
No-load loss plus load loss rising with the square of the current.
P_loss = P₀ + P_k·K² + r_f·S_b·(|s_d|²/3 + Re(s_d·s_p*) + |s_p|²) + r_tie·S_b·|s_tie|², s_d = distributed load, s_p = far-end block (incl. capacitor); P₀ = 1 kW, P_k = 5 kW[7][2]
Approximate voltage drop along the transformer and feeder.
ΔV ≈ p·r + q·x (pu); distributed load drops ½ of the lumped value; capacitor Q_c raises V by Q_c·x; V_src = 1.02 + 0.02·(0.5 − shape) + tap × 1.25 %[7]Assumption: the load profile, EV numbers, feeder impedances, cold-load parameters and fan rating are illustrative values for a generic suburban feeder, not data from a real network.
Service voltage ranges from the voltage standards.
target |V − 1| ≤ 5 % (ANSI C84.1 Range A); Range B −8.3 % / +5.8 %; EN 50160: ±10 % for 95 % of 10-min means[4][5][6]
Protection: when the transformer and the neighbour trip.
trip if K ≥ 1.5 for 30 min (accumulated), K ≥ 2.0 at once, or θ_H ≥ 140 °C; neighbour trips if K_B ≥ 1.2 for 30 min; re-energised after 60 min[2]Assumption: the 30-minute overload setting, the 2.0 pu instantaneous element and the 140 °C hot-spot trip are illustrative settings built on the IEC 60076-7 limits for distribution transformers (1.5 pu normal cyclic, 2.0 pu short-time emergency, 140 °C hot spot). Real protection uses fuse or relay curves.
After an outage, thermostatic loads all switch on at once; the extra load decays exponentially.
M0 = 1 + 1.4·(1 − e^(−D/90 min)); CLPU(t) = 1 + (M0 − 1)·e^(−t/60 min)[8][1]Assumption: the load profile, EV numbers, feeder impedances, cold-load parameters and fan rating are illustrative values for a generic suburban feeder, not data from a real network.
Other constants used by the model.
500 kVA transformer, 30 °C rated ambient (55 K oil + 25 K gradient → 110 °C) · 60 EVs, 6–20 kWh need, arrival ≈ N(18:30, 1 h), depart 07:00 · curtailed charging 3.6 kW · transformer r = 1 %, x = 4 %; feeder r = 4 %, x = 2 %; tie r = 10 %, x = 4 % (500 kVA base) · neighbour 400 kVA, 120 homes, transfer ≤ 40 % · capacitor 150 kvar · tap ±4 × 1.25 % · shedding one 15 % block for 60 min, 120 min lockout, 50 % payback · fans 0.4 kW · ±3 % load noise, ±5 % daily scaleAssumption: the load profile, EV numbers, feeder impedances, cold-load parameters and fan rating are illustrative values for a generic suburban feeder, not data from a real network.

Randomness: a seeded mulberry32 generator; distributions used — uniform, exponential (inverse CDF), normal (Box–Muller), Poisson (Knuth). The seed is shown and shareable.

Sources

  1. IEEE Std C57.91-2011 — IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators (clause 5 ageing, clause 7 temperature, Annex on cold-load pickup) — IEEE, 2011
  2. IEC 60076-7:2018 — Power transformers, Part 7: Loading guide for mineral-oil-immersed power transformers — IEC, 2018
  3. Comparison of Loading Guide Standards (IEEE C57.91 and IEC 60076-7): ageing equations, exponents n/m by cooling mode, 180 000 h normal life — IEEE PES Transformers Committee, C57.91 working group
  4. ANSI C84.1 — Electric Power Systems and Equipment: Voltage Ratings (60 Hz); Range A service voltage ±5 % (114–126 V on 120 V), Range B 110–127 V — NEMA / ANSI (summarised in USDA Rural Utilities Service guidance), 2020
  5. EN 50160:2022 — Voltage characteristics of electricity supplied by public electricity networks, clause 4 low-voltage supply characteristics (clause 4 is not in the free preview, which ends at the scope) — CENELEC, CLC/TC 8X (official preview of the English text via the Slovak national standards body ÚNMS SR, STN EN 50160:2023), 2022
  6. A. Klajn, M. Bątkiewicz-Pantuła — Application Note: Standard EN 50160, Voltage characteristics of electricity supplied by public electricity networks (LV supply voltage variations: Un ± 10 % for 95 % of the 10-min mean rms values of each week) — European Copper Institute / Leonardo ENERGY, Publication No. Cu0147, 2013
  7. W. H. Kersting — Distribution System Modeling and Analysis (approximate voltage drop, uniformly distributed load, line losses) — CRC Press, 2017
  8. C. Hachmann et al. — Cold load pickup model parameters based on measurements in distribution systems (exponential decay model, CLPU factors ≈ 1.9–2.8) — IET Generation, Transmission & Distribution 13(23), 2019
  9. SAE J1772 — Electric Vehicle and Plug-in Hybrid Electric Vehicle Conductive Charge Coupler (AC Level 2 charging, e.g. 32 A × 240 V ≈ 7.7 kW) — SAE International, 2017

Who does this for a living

Educational model — not for operational decisions. Real sites calibrate every constant to their own equipment and data.