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Power Quality Rating Simulator

Understand hidden costs of poor power quality in this sim.
From wasted energy and equipment stress to downtime risk
3DFS PQR SIM

Real-Time Waveforms, Metrics, and Economic Impact

480V 3Φ • 60Hz
WAVEFORMS
POWER QUALITY
RATING (PQR)
i
100%
Excellent
NEUTRAL
CURRENT
i
0.0A
Minimal
CRITICAL
FAILURE RISK
i
+0.0%
Minimal
ELECTRIC
SYSTEM LOSSES
i
0.0%
Minimal
ANNUAL DOWNSTREAM COST IMPACT
$0
Energy
$0
ENERGY WASTE
I²R conductor and distribution losses
Equipment
$0
EQUIPMENT
Accelerated degradation and wear
Downtime
$0
DOWNTIME RISK
Probability-weighted outage cost
Infrastructure
$0
INFRASTRUCTURE
K-rated and oversized equipment
CRITICAL FACTORS
    SYSTEM STRENGTH
    i
    Short-Circuit Ratio
    Grid strength indicator
    —
    SCR = Fault current / Load. ≥20 strong, 10-20 moderate, <10 weak.
    Resiliency Score
    Ride-through capability
    —
    Weighted: PQR 30%, SCR 30%, PF 20%, THD 20%. ≥70% robust, <40% vulnerable.
    COMPLIANCE SUMMARY
    i
    TDD Compliance
    IEEE 519: TDD ≤5% at PCC
    —
    Neutral Current
    Triplen summation limit
    —
    Power Factor
    True PF ≥0.90
    —
    Phase Imbalance
    ≤2% voltage unbalance
    —
    PQR FORMULA: True Power Factor with Balance Factor
    PQR = avg(TPF) × BF × 100    where TPF = cos(φ) / [√(1+THDI²) × √(1+THDV²)]    and BF = max(0, 1 - Imbalance/100)
    PHASE L1
    P (Active Power)-
    Q (Reactive Power)-
    S = √(P² + Q²)-
    cos φ = P / S-
    THDI-
    DI = √(1+THDI²)-
    THDV-
    DV = √(1+THDV²)-
    TPFL1 = cosφ / (DI×DV)-
    PHASE L2
    P (Active Power)-
    Q (Reactive Power)-
    S = √(P² + Q²)-
    cos φ = P / S-
    THDI-
    DI = √(1+THDI²)-
    THDV-
    DV = √(1+THDV²)-
    TPFL2 = cosφ / (DI×DV)-
    PHASE L3
    P (Active Power)-
    Q (Reactive Power)-
    S = √(P² + Q²)-
    cos φ = P / S-
    THDI-
    DI = √(1+THDI²)-
    THDV-
    DV = √(1+THDV²)-
    TPFL3 = cosφ / (DI×DV)-
    FINAL CALCULATION
    avg(TPF) = (TPFL1+TPFL2+TPFL3)/3-
    Imax, Imin, Iavg-
    Imbalance = (Imax-Imin)/Iavg × 100-
    BF = max(0, 1 - Imbalance/100)-
    PQR = avg(TPF) × BF × 100-
    Educational simulation based on field test data. Actual results vary by installation. PQR Sim v0.5.7e

    Understanding Power Quality Metrics

    This guide explains each value displayed on the dashboard and how it’s calculated. All formulas are grounded in IEEE standards and validated by industry research and field testing. Values shown are estimates based on simulator parameter simplification. Actual results depend on site-specific conditions and should be verified with field measurements.

    Dashboard Metrics Explained
    The dashboard displays seven key metrics that quantify power quality and its financial impact. Each metric is numbered below in the order it appears on screen. Understanding what each value represents helps identify problems and prioritize solutions.
    1

    Power Quality Rating (PQR)

    Overall system efficiency score

    In plain terms: PQR is like a "fuel efficiency" rating for electricity. A PQR of 75% means 25% of electrical capacity is being wasted or causing equipment stress—similar to a car getting 75% of its rated MPG.

    PQR combines three factors: how efficiently power is delivered (True Power Factor per IEEE 1459-2010), how clean the waveform is (harmonic distortion), and how balanced the three phases are.

    PQR = avg(TPF) × BF × 100
    TPF (True Power Factor)
    = cos(φ) / [√(1+THDI²) × √(1+THDV²)]
    cos(φ)
    Displacement Power Factor — ratio of real power (P) to apparent power (S)
    THDI, THDV
    Current and voltage harmonic distortion (IEEE 519-2022 §5)
    BF (Balance Factor)
    = max(0, 1 - Imbalance%/100) — penalizes uneven phase loading
    IEEE 1459-2010 §4.2 True Power Factor
    PQR ScoreRatingMeaning
    ≥80%ExcellentOptimal efficiency, minimal stress
    50-79%ModerateSome inefficiency, monitor trends
    <50%PoorSignificant losses, accelerated aging
    2

    Neutral Current

    Current in the return conductor

    In plain terms: The neutral wire should carry very little current—like a balanced seesaw sitting level. When phases are unbalanced or loads draw "choppy" harmonic current, traffic on the neutral increases. Triplen harmonics (3rd, 9th, 15th) are especially dangerous—they ADD together instead of canceling.

    Neutral current arises from three sources that combine in quadrature (root-sum-squares). This is why a balanced system with 15% third harmonic per phase can see 45% neutral current—exceeding phase current.

    IN = √(Iimbalance² + Itriplen² + Ivoltage²)
    Iimbalance
    Vector sum of phase currents at 120° separation
    Itriplen
    Arithmetic sum of 3rd, 9th, 15th harmonics (zero-sequence per Fortescue)
    Ivoltage
    Additional current from voltage unbalance
    NEC 310.15(B)(4)(c) Schneider WP#38

    Rasmussen, N., "Harmonic Currents in the Data Center: A Case Study," Schneider Electric White Paper 38

    Neutral (% of Phase)StatusAction
    <10%MinimalNormal operation
    10-25%ElevatedMonitor temperature
    25-40%HighCheck conductor sizing
    >40%CriticalImmediate attention
    3

    Critical Failure Risk

    Equipment life consumption rate

    In plain terms: This is an equipment "stress meter." A 30% risk doesn't mean 30% chance of immediate failure—it means equipment is aging roughly 3× faster than normal. A transformer designed for 25 years might only last 8 years under sustained stress.

    Risk is calculated from four thermal stress components based on the Arrhenius principle: every 10°C temperature rise approximately doubles the aging rate (IEEE C57.91-2011 Annex G).

    Risk = K-Risk + PF-Risk + THD-Risk + Load-Risk
    K-Risk
    K-Factor harmonic heating (IEEE C57.110-2018 §7)
    PF-Risk
    Excess current from low power factor
    THD-Risk
    Eddy current and skin effect losses
    Load-Risk
    Thermal stress from operation above rating
    IEEE C57.110-2018 IEEE C57.91-2011
    Risk %Life ImpactInterpretation
    <10%MinimalNear design conditions
    10-30%Moderate2× faster aging
    30-50%Significant3-4× faster aging
    >50%SevereThermal stress zone
    4

    Electric System Losses

    Power wasted as heat

    In plain terms: Every wire acts like a tiny heater. Poor power quality makes this worse: low power factor forces more current for the same work, and harmonics increase wire resistance at higher frequencies (skin effect). A 15% loss means $15 of every $100 spent on electricity heats wires instead of doing useful work.

    Losses scale with the square of current. Since current increases when True Power Factor decreases, the relationship is quadratic—small PF drops cause disproportionate loss increases.

    Losses% = [(1/TPF)² - 1] × 100 + Equipment_Losses
    TPF
    True Power Factor (includes harmonic distortion)
    Equipment_Losses
    Operating losses of correction equipment (if present)
    IEEE 1459-2010
    True PFCurrent IncreaseI²R Loss Increase
    1.00BaselineBaseline
    0.95+5%+11%
    0.85+18%+38%
    0.75+33%+78%
    5

    Annual Downstream Cost Impact

    Total financial impact of poor power quality

    In plain terms: Like a car with bad alignment—wasting fuel (energy), wearing out tires faster (equipment), risking a blowout (downtime), and needing special tires (infrastructure). The surprise for most facilities: one outage event often costs more than years of wasted energy. A data center outage averages $740,000 (Uptime Institute 2023)—more than a decade of elevated energy bills.

    Cost is broken into four categories. Energy waste is visible but often not the largest component—downtime risk typically dominates for mission-critical facilities, shifting the business case from "efficiency" to "reliability."

    CategoryWhat It MeasuresPrimary Drivers
    💡 EnergyAdditional electricity from lossesLow TPF, harmonic skin effect
    🔧 EquipmentAccelerated replacement costsK-Factor, imbalance, neutral heating
    ⏱️ DowntimeProbability-weighted outage costFailure risk × outage cost
    🏗️ InfrastructureCapital premiums for PQ equipmentK-rated transformers, oversized neutral

    Industry Outage Costs (Research Sources):

    Data Center: $740K/incident (Uptime Institute 2023) · Shipboard: $500K/incident · Manufacturing: $260K/incident (EPRI) · Commercial: $50-85K/incident (DOE IAC)

    EPRI estimates US manufacturing loses $15-24B annually to power quality issues. Downtime typically accounts for 40-60% of total PQ costs.

    6

    System Strength

    Grid robustness indicators

    In plain terms: How "sturdy" is the electrical supply? A strong grid (high SCR) is like a fire hydrant—supplies plenty of water without pressure dropping. A weak grid (low SCR, like a shipboard generator) is like a garden hose—too many sprinklers makes everything run poorly. Weak grids amplify power quality problems.

    Short-Circuit Ratio (SCR) measures source stiffness:

    SCR = Short-Circuit MVA / Load MW
    THDV ≈ THDI / SCR
    Voltage distortion is amplified in weak systems (IEEE 519 Annex B)

    Resiliency Score combines multiple factors:

    Resiliency = 0.30×PQR + 0.30×SCR + 0.20×PF + 0.20×THD (normalized)
    IEEE 519-2022 Annex B
    SCRStrengthResiliencyRating
    ≥50Very Strong≥70%Robust
    20-50Strong40-69%Moderate
    10-20Moderate<40%Vulnerable
    <10Weak—High risk
    7

    Compliance Summary

    Standards adherence indicators

    In plain terms: These are the "speed limits" of the electrical world. Just as speed limits exist because exceeding them causes accidents, electrical standards exist because exceeding them causes equipment damage and interference. A "Pass" means operating safely within limits established through decades of engineering experience.

    TDD Compliance IEEE 519-2022 Table 2

    Total Demand Distortion limits harmonic current injection at the utility connection point. Limits vary by SCR: 5% for SCR<20, 8% for SCR 20-50, 12% for SCR 50-100, 15% for SCR>100.

    Neutral Current NEC 310.15(B)(4)

    Must not exceed conductor ampacity. Systems with >50% nonlinear loads require 200% neutral sizing per NEC 310.15(B)(4)(c).

    Power Factor ≥ 0.90 IEEE 1459-2010

    Below this threshold: utility demand charges ($2-10/kVAr/month), increased losses, reduced capacity. ASHRAE 90.1 requires ≥0.90 for efficiency credit.

    Phase Imbalance ≤ 2% NEMA MG-1 §14.36

    At 5% voltage unbalance: 50% motor life reduction. The relationship is nonlinear—2% to 5% sounds small but impact is dramatic.

    Different environments have different standards requirements. A data center must meet stricter reliability standards than a warehouse. Each scenario below lists the applicable standards and typical compliance challenges.
    🖥️

    Data Center / IT

    High-density computing loads

    Applicable Standards
    • IEEE 519-2022 — TDD ≤8% (typical SCR 20-50)
    • IEEE C57.110-2018 — K-13+ transformers required
    • ASHRAE TC 9.9 — Environmental guidelines
    • Uptime Institute — Tier reliability standards
    Typical Challenges

    THD 35-42% from switch-mode power supplies exceeds IEEE 519 limits. UPS systems stress neutral conductors with triplen harmonics. Average outage cost: $740K/incident (Uptime Institute 2023). Downtime cost can reach $9,000/minute.

    ❄️

    HVAC / VFD Systems

    Variable frequency drives

    Applicable Standards
    • IEEE 519-2022 — TDD ≤8% (SCR 20-50)
    • NEMA MG-1 §14.36 — ≤2.5% voltage unbalance
    • IEEE 112-2017 — VFD-induced bearing currents
    • IEEE 1036-2020 — Capacitor resonance analysis
    Typical Challenges

    6-pulse VFDs inject 5th/7th harmonics (THD 35-45% typical). High dv/dt causes motor bearing EDM damage. 20% current imbalance causes 50% motor life reduction per NEMA MG-1.

    ☀️

    Microgrid / DER

    Distributed energy resources

    Applicable Standards
    • IEEE 1547-2018 §7.1 — TRD ≤5% current distortion
    • IEEE 1547-2018 §6.4 — Voltage ride-through required
    • IEEE 1547-2018 §5.3 — Volt-VAR capability
    • Utility interconnection — Site-specific requirements
    Typical Challenges

    Low SCR (10-15) amplifies voltage distortion: THDV ≈ THDI/SCR. Variable DER output (55% phase imbalance typical) stresses inverter DC bus capacitors. Reliability improvement potential: 600%.

    ⚓

    Shipboard Power

    Isolated generator systems

    Applicable Standards
    • MIL-STD-1399 Section 300B — THD ≤5%
    • MIL-STD-1399 — Voltage ±5%, Freq 60Hz ±3%
    • MIL-STD-461G — Conducted EMI limits
    • NAVSEA TS9090-310 — PQ monitoring requirements
    Typical Challenges

    THD 38-42% exceeds MIL-STD-1399 5% limit by 8×. SCR ~10 (weak generator) means high THDV. Low PF (0.84 typical) wastes generator fuel capacity. Mission impact: $500K/incident. Daily fuel savings potential: $200-1,050/day.

    🏭

    Manufacturing

    Industrial production loads

    Applicable Standards
    • IEEE 519-2022 — TDD ≤5% (SCR <20)
    • IEEE 141 (Red Book) — Industrial power systems
    • NEMA MG-1 — Motor derating curves
    • Utility tariffs — PF penalty when <0.90
    Typical Challenges

    TDD 35-45% from welders and SCR drives exceeds IEEE 519 5% limit. PF 0.84 triggers utility penalties ($2-10/kVAr/month). EPRI estimates US manufacturing PQ losses at $15-24B annually. Typical ROI: 150-400%, payback 5.5 months.

    ✨

    Ideal Baseline

    Reference for comparison

    Target Parameters
    • PQR = 100% — Perfect efficiency
    • THD = 0% — Pure sinusoidal waveforms
    • PF = 1.0 — Unity power factor
    • Imbalance = 0% — Perfectly balanced phases
    Why It Matters

    The Ideal Baseline represents theoretical perfection—what the system would look like with pure resistive linear loads and perfect balance. Comparing actual values against this baseline quantifies the real cost of power quality issues.

    The Annual Cost Impact shown on the dashboard is calculated from four components. Each uses industry-standard coefficients derived from published research and field studies. Actual costs depend on site-specific factors—these estimates provide order-of-magnitude guidance for prioritization.
    💡

    Energy Waste

    Additional electricity from losses

    Power quality issues force more current to flow for the same useful work. Since conductor losses scale with I², even small PF degradation has significant cost impact.

    Energy_Cost = Base_kW × Hours × Rate × (Loss%/100) × Multiplier
    Default Assumptions
    • Base load: 1 MW at $0.12/kWh (EIA avg. commercial rate)
    • 8,760 operating hours/year (continuous)
    • 0.5 diversity factor (typical load variation)
    • Does not include demand charges

    Regional rates vary: $0.07/kWh (India) to $0.22/kWh (Germany). Adjust for local utility tariffs.

    🔧

    Equipment Degradation

    Accelerated aging and replacement

    Thermal stress from harmonics, imbalance, and neutral overloading shortens equipment life per the Arrhenius model: each 10°C rise doubles aging rate (IEEE C57.91-2011).

    Equipment_Cost = K_Stress + Imbalance_Stress + Neutral_Stress K_Stress = max(0, K-1) × $40,000/yr Imbalance = max(0, Imb%-2) × $600/yr Neutral = max(0, N%-20) × $300/yr
    Physics Basis (IEEE C57.110-2018)
    • K-13 load on K-1 transformer = 65% capacity loss
    • K-13 on K-1: 20-year design life → 2-year actual life
    • NEMA MG-1 §14.36: 5% voltage unbalance = 50% motor life reduction

    $40,000 coefficient derived from 100+ industrial facility assessments (DOE IAC Database).

    ⏱️

    Downtime Risk

    Probability-weighted outage cost

    The largest cost component for most mission-critical facilities. Weights failure probability by industry-specific outage costs from published research.

    Downtime_Cost = (Outage_Cost / $50,000) × $6,000 × Risk × Multiplier
    Industry Benchmarks (Research Sources)
    • Data center: $740,000/incident — Uptime Institute 2023
    • Shipboard: $500,000/incident — Mission impact assessment
    • Manufacturing: $260,000/incident — EPRI Power Quality Study
    • Commercial: $50,000-85,000/incident — DOE IAC

    Downtime typically accounts for 40-60% of total PQ costs, shifting business case from "efficiency" to "reliability."

    🏗️

    Infrastructure

    Capital equipment premiums

    Poor power quality requires more expensive equipment: K-rated transformers, oversized neutrals, additional filtering.

    Infrastructure = K_Transformer + Neutral_Upgrade + Base K_Transformer = max(0, K-1) × $5,000/yr (amortized) Neutral_Upgrade = max(0, N%-25) × $150/yr Base = $6,000/yr (maintenance overhead)
    K-Rated Transformer Premiums (IEEE C57.110)
    • K-4 transformer: 15-25% premium over K-1
    • K-13 transformer: 50-80% premium ($8-12K additional)
    • K-20 transformer: 100%+ premium ($15-20K additional)
    • 200% neutral: Required for >50% nonlinear loads (NEC 310.15)

    MIL-STD-1399 compliance adds ~$118K additional cost for shipboard systems.

    Industry Multipliers: The same electrical problem has different financial impact in different environments. Multipliers are pre-configured for each scenario based on industry research:

    Data Center: Energy 1.5×, Equipment 2.0×, Downtime 3.0×, Infrastructure 1.8× · Shipboard: Energy 1.2×, Equipment 2.0×, Downtime 4.0×, Infrastructure 2.0× · Manufacturing: Energy 1.3×, Equipment 1.4×, Downtime 1.5×, Infrastructure 1.2× · Microgrid: Energy 0.6×, Equipment 0.8×, Downtime 0.5×, Infrastructure 1.4× Typical ROI: 150-1046% depending on industry. Payback periods: 1.9-5.5 months for active correction solutions.
    Three correction technologies are modeled in the simulator. Each has different capabilities, limitations, and side effects. Understanding these tradeoffs helps select the appropriate solution for specific power quality problems.

    🔷 Active Correction (VectorQ SDE)

    Software-Defined Electricity provides real-time active correction of reactive power, harmonics, and phase imbalance. Sub-cycle response time enables correction of transient events.

    Q Reduction
    96-97%
    THD Reduction
    86-90%
    Balance Improvement
    86-93%
    Operating Loss
    0.4%

    Capacity Check: Full performance when demand <85% of 150 kVA capacity. Above this threshold, correction scales proportionally. Typical payback: 2.9-3.1 months.

    🔶 Passive Harmonic Filters

    Tuned LC circuits that absorb specific harmonic frequencies. Effective for 5th and 7th harmonics but limited triplen (3rd, 9th) reduction. Fixed tuning cannot adapt to changing loads.

    H5 Reduction
    85%
    H7 Reduction
    80%
    H3 Reduction
    15%
    Operating Loss
    10%
    ⚠️ Side Effects: Series inductance increases reactive power by ~5%. Current increases by ~10%. Voltage drops ~2%. Does not correct phase imbalance. Typical payback: 6+ months.

    🔴 Capacitor Banks

    Traditional power factor correction using switched capacitor banks. Effective for displacement PF but does not address harmonics and can create dangerous resonance conditions.

    Q Reduction
    60%
    PF Improvement
    +0.10-0.15
    H5 Amplification
    1.8×
    Operating Loss
    9%
    ⚠️ RESONANCE RISK (IEEE 1036-2020 §7): Resonance analysis is REQUIRED before installing capacitors in systems with >5% THD. Resonance frequency fr = f1 × √(Ssc/Qcap). If fr ≈ 5th or 7th harmonic, amplification of 10-50× is possible—often causing capacitor failure.
    All formulas and thresholds trace to published IEEE standards, military specifications, industry research, and validated field studies. These references provide the technical basis for dashboard calculations.

    IEEE Standards

    • IEEE 519-2022 Harmonic Control in Electric Power Systems — TDD limits, SCR tables Primary source for harmonic compliance thresholds
    • IEEE 1459-2010 Power Quantities Under Nonsinusoidal Conditions — TPF definition §4.2 Defines True Power Factor calculation used in PQR
    • IEEE C57.110-2018 Transformer Capability with Nonsinusoidal Loads — K-Factor, derating Source for equipment degradation coefficients
    • IEEE C57.91-2011 Loading Mineral-Oil Transformers — Arrhenius thermal aging Annex G: thermal life model (10°C = 2× aging)
    • IEEE 1547-2018 DER Interconnection and Interoperability — §5.3, §6.4, §7.1 TRD limits for distributed generation
    • IEEE 1036-2020 Application of Shunt Power Capacitors — §7 resonance analysis Capacitor bank resonance requirements
    • IEEE 493-2007 (Gold Book) Design of Reliable Industrial Power Systems Reliability modeling, alternate path design
    • IEEE 141 (Red Book) Industrial Power Systems Design Industrial facility electrical design practices
    • IEEE 1100-2005 (Emerald Book) Powering and Grounding Electronic Equipment Best practices for sensitive loads

    Military Standards

    • MIL-STD-1399 Section 300B Shipboard Electric Power (AC) — THD ≤5%, 3% submarines Primary compliance standard for naval applications
    • MIL-STD-461G Control of Electromagnetic Interference Conducted EMI limits for military systems
    • NAVSEA TS9090-310 PQ Monitoring Requirements Naval power quality monitoring specifications

    Industry Standards

    • NEMA MG-1 §14.36 Motors and Generators — Voltage unbalance derating 5% unbalance = 50% motor life reduction (nonlinear)
    • NEC Article 310.15(B)(4) Conductor Sizing — Neutral conductor requirements 200% neutral for >50% nonlinear loads
    • ASHRAE TC 9.9 Data Center Thermal Guidelines Environmental requirements for IT equipment
    • ASHRAE 90.1 Energy Standard for Buildings — PF ≥0.90 efficiency credit Power factor compliance for building efficiency
    • SEMI F47 Semiconductor Equipment Voltage Sag Immunity Voltage ride-through requirements for fabs
    • ANSI C84.1 Electric Power Systems Voltage Ratings — ±5% normal Voltage range standards for US power systems

    Industry Research & Studies

    • Uptime Institute Annual Outage Analysis 2023 Data center average outage cost: $740,000 Primary source for data center downtime costs
    • EPRI Power Quality Study US manufacturing PQ losses: $15-24B annually Manufacturing outage cost: $260,000/incident
    • DOE Industrial Assessment Center Database 100+ facility assessments, equipment degradation coefficients Commercial outage cost: $50,000-85,000/incident
    • Schneider Electric White Paper #38 Rasmussen, N., "Harmonic Currents in the Data Center: A Case Study" Neutral current and triplen harmonic analysis
    • Flex (Butler, C., 2025) "Power quality: The unseen phenomenon behind data center challenges" Harmonics damaging UPS and outage statistics
    • TSMC Voltage Sag Case Study (2021-2022) Fab 14 voltage drop event, backup power response $35M+ product impact potential, successful ride-through

    Economic Benchmarks

    • Data Center Economics Downtime: $9,000/minute, PF penalties: 15-30% of bill Energy savings potential: 10-15%
    • Shipboard Economics Daily fuel savings: $200-1,050, Annual: $320K/vessel Payback: <1 year, NPV potential: $1.4M
    • Manufacturing Economics PF penalty: $2-10/kVAr/month, Equipment life: 20-30% extension Typical ROI: 150-400%, payback: 5.5 months
    • Microgrid Economics Reliability improvement: 600%, Total cost reduction: 6-18% Investment savings: 32-50%

    Technical Papers

    • Bingham, R.P. (2020) "The Special K's" Parts 1 & 2, Electrical Contractor Magazine Kirchhoff's laws applied to power quality issues
    • Grady, W.M. (2012) "Understanding Power System Harmonics" Comprehensive harmonics reference, web.ecs.baylor.edu
    • Hammond Power Solutions "Power Factor Correction and Energy Saving" Technical Article PF correction economics and transformer impacts
    • KCL/KVL Analysis (2025) "Kirchhoff's Laws in Power Quality and Reliability" Mission-critical facilities application analysis
    Power Quality Rating Dashboard SIM
    Technical Documentation & Collaboration Guide

    We welcome collaboration from engineers, researchers, educators, and developers who share our mission of advancing power quality awareness and education. If you have:

      • Suggestions for additional industry scenarios
      • Corrections or improvements to calculation methodologies
      • Field data that could enhance model accuracy
      • Ideas for new features or visualizations
      • Educational use cases or feedback

    Please contact us at: PQR.SIM at 3dfs.com