Harmônicos Desequilíbrio de tensão Fator de Potência Feeder Transfer Textile Industry IEEE · Oliveira 1999

A Practical Case of Power Quality Study — Textile Factory Site Measurements

Fonte: Oliveira JC et al. — Federal University of Uberlândia, Brazil · IEEE T&D Conference, 1999 · IPQDF Case Study Series · Harmonics · Voltage Unbalance · Commentary: Denis Ruest, Mestrado. (Aplicado), P.Eng. (ret.)
Case at a Glance
FacilityTypical textile factory — Brazil. Mixed production with motors, unidades, and power conversion equipment
Supply configurationIndustrial MV/LV distribution with two available distribution feeders — feeder transfer capability assessed
Parameters investigatedVoltage profile · Harmonic distortion (voltage and current) · Voltage unbalance · Power factor · Feeder transfer risk
Monitoring purposeVerify actual operating conditions, assess compliance, evaluate reliability improvement options
Key question 1Does the existing supply meet power quality standards at the factory’s distribution busbars?
Key question 2What is the risk to the factory’s sensitive loads if the supply is transferred from one feeder to the other?
AutorProf. José Carlos de Oliveira — Federal University of Uberlândia (UFU), Brasil. Pioneer of Brazilian industrial PQ assessment methodology
PublishedIEEE Transmission and Distribution Conference, 1999. DOI: 10.1109/T&D.1999.759917
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Original Paper — Available for Download
Oliveira JC et al., “A Practical Case of Power Quality Study.IEEE Transmission and Distribution Conference, 1999. DOI: 10.1109/T&D.1999.759917
Download PDF from IPQDF →

01 Context — Why This Paper Matters

Published in 1999 at the IEEE Transmission and Distribution Conference, this paper by Prof. José Carlos de Oliveira at the Federal University of Uberlândia is one of the landmark papers in industrial power quality assessment methodology from Latin America. It is not primarily a paper about a single unusual problem — it is a paper about methodology: how to conduct a comprehensive site PQ assessment at an industrial facility, what parameters to measure, how to structure the investigation, and how to derive actionable conclusions from the measurements.

This methodology framework — voltage profile, distorções harmônicas, unbalance, and feeder transfer risk — is precisely the framework that utility power quality engineers and industrial energy managers use today. The fact that the paper was written in 1999 does not reduce its relevance: the four-parameter framework is timeless, and the textile factory represents a load mix — motors, unidades, electronic equipment, power factor correction — that is still representative of medium-sized industrial facilities worldwide.

Prof. José Carlos de Oliveira — Brazilian PQ Methodology Pioneer

José Carlos de Oliveira is one of the most cited Brazilian researchers in power quality. His work at UFU established the methodological foundations for industrial PQ assessment in the Brazilian context — where the distribution network characteristics, load types, and regulatory framework differ significantly from the North American and European contexts that dominate the international PQ literature. His papers consistently address the practical engineering gap: not just measuring PQ parameters, but structuring the investigation to answer the questions that facility engineers and utility planners actually need answered.

02 The Assessment Methodology Framework

The paper structures the PQ assessment around four investigative questions — each corresponding to a distinct PQ parameter category and a distinct engineering concern. This four-question structure is the framework that every industrial PQ assessment should follow:

Industrial PQ Assessment — Four-Parameter Framework (Oliveira, 1999) What is the actual PQ situation at this facility? 01 · VOLTAGE PROFILE Are voltages within ±10% at all distribution busbars under all loads? 02 · HARMONICS Do harmonic voltages and currents comply with IEEE 519 / IN 50160? 03 · UNBALANCE Is the voltage unbalance within limits? Motor derating may be required. 04 · FEEDER TRANSFER Can loads be transferred to the alternate feeder without damage? Each question requires specific monitoring, specific measurement points, and specific standards for compliance assessment
Figo. 1 — The four-parameter assessment framework applied in the Oliveira paper. Each parameter addresses a distinct engineering concern and requires specific monitoring equipment placement. Together they constitute a complete industrial PQ audit.

The monitoring program was designed to capture all four parameter categories simultaneously — an important methodological point. Measuring parameters sequentially (one week for harmonics, another week for power factor) misses the correlations between parameters: harmonic distortion is higher at full production load, which is also when voltage is lowest and unbalance is most significant. Only simultaneous multi-parameter monitoring reveals the actual worst-case PQ environment that the facility’s equipment operates in.

03 Voltage Profile — The Starting Point

Voltage profile assessment — verifying that the supply voltage at all points in the facility’s distribution system remains within the acceptable range under all operating conditions — is the foundation of any industrial PQ assessment. Before harmonic distortion, unbalance, or any other PQ parameter can be meaningfully assessed, the fundamental voltage must be characterised.

For a textile factory, voltage profile assessment requires monitoring at multiple points in the distribution hierarchy:

  • Point of common coupling (PCC) — the utility’s delivery point, where the factory’s connection to the distribution feeder is made. Voltage here reflects the utility supply quality plus the effect of the factory’s total load
  • Main distribution switchboard — the incoming LV bus. Voltage here reflects the PCC voltage minus the drop through the main transformer and its protection devices
  • Secondary distribution boards — the buses feeding individual production areas. Voltage here reflects the cumulative drop through all upstream impedances plus the local reactive demand of the production equipment
  • Motor control centres — the terminal voltage available to the motors. This is the most critical measurement for process reliability — a motor that repeatedly operates at the lower end of its voltage tolerance range is at elevated risk of thermal overload during high ambient temperature periods

04 Harmonic Distortion Assessment

The harmonic assessment in the Oliveira paper covers both voltage harmonic distortion (THDv) at key busbar locations and current harmonic distortion (THDI and TDD) at the factory’s main supply point. This dual-measurement approach is important because voltage THD at the PCC is the compliance metric for utilities and large customers under IEEE 519, while current TDD at the PCC is the factory’s harmonic emission metric — what the factory is injecting into the network.

Sources in a typical textile factory

In a late-1990s textile factory, the primary harmonic sources are variable-speed drives (ASDs) on spinning and weaving machinery, electronic control systems, and power factor correction capacitor banks. The dominant harmonic orders from these sources are the 5th, 7ª, 11ª, and 13th — the characteristic harmonics of 6-pulse converter topologies. At high loading — simultaneous operation of many ASD-driven machines — the aggregate harmonic current at the main supply point can significantly exceed what any individual machine produces, because the harmonic currents add vectorially rather than cancelling.

Harmonic parameter Measurement location Applicable standard Engineering significance
THDv (tensão) PCC, main LV bus, distribution boards IEEE 519-1992 / IN 50160 Equipment sensitivity — distorted voltage affects motor efficiency, capacitor loading, transformer losses
THDI (atual) Individual feeders, motor circuits IEC 61000-3-2 Conductor loading — high THDI means higher RMS current than kW meters show, causing unexpected cable overloading
TDD (total demand distortion) PCC — utility interface IEEE 519-1992 Utility compliance metric — harmonic emission relative to maximum demand current, not instantaneous fundamental
Individual harmonic orders All measurement points IEEE 519 Mesa 10.3 Source identification — dominant orders reveal converter topology (6-pulso, 12-pulso) and resonance risk
The Capacitor Bank Resonance Risk

Any textile factory with power factor correction capacitor banks installed for reactive power management faces a harmonic resonance risk. When the system’s parallel resonant frequency — determined by the transformer impedance and the capacitor bank size — coincides with a harmonic order produced by the ASD loads (most commonly the 5th at 250 Hz), the harmonic current at that order is amplified at the resonant frequency. Capacitors rated for 50 Hz load can be destroyed within hours by the amplified harmonic current at the resonant frequency. This interaction — drive harmonics + PFC capacitors = resonance → capacitor failure — is one of the most common and most preventable industrial PQ problems. The Oliveira assessment methodology specifically includes evaluating this risk as part of the harmonic analysis.

05 Desequilíbrio de tensão

Voltage unbalance is an intrinsic risk in any industrial distribution system with significant single-phase load components — lighting, single-phase power supplies, single-phase welding equipment, and unevenly distributed three-phase loads where individual phase loads vary with production scheduling. In a textile factory, the mix of three-phase motors (balanced) and single-phase ancillary equipment (unbalanced) means that the phase balance at the motor control centres changes with the production schedule.

The critical consequence of voltage unbalance in a motor-dominated facility is the negative-sequence component of the unbalanced voltage. Negative-sequence voltage drives a reverse-rotating magnetic field in the motor, creating a braking torque that opposes the motor’s rotation. The motor compensates by drawing more current — increasing winding temperature. NEMA MG-1 quantifies this: um 3.5% desequilíbrio de tensão (PVUR definition) increases motor temperature rise by approximately 25%, requiring motor derating to 75% of nameplate capacity to maintain the same service life.

Voltage Unbalance Effect on Motor Temperature Rise — NEMA MG-1 0% 1% 2% 3% 4% 5% Voltage unbalance (PVUR) 0% +25% +50% +75% Additional temp. rise IN 50160 limit 2% NEMA max 5% 3.5% +25% ΔT 75% derating required
Figo. 2 — Additional motor temperature rise as a function of voltage unbalance (NEMA MG-1). The relationship is approximately quadratic — doubling the unbalance quadruples the additional heating. Em 3.5% PVUR, motor temperature rises by 25% above its rated value, requiring derating to 75% of nameplate capacity. The EN 50160 planning limit of 2% corresponds to a moderate but measurable additional heating burden.

06 Feeder Transfer Risk — The Fourth Question

The investigation of the risk involved in transferring the supply from one distribution feeder to another is the most operationally specific element of the Oliveira assessment — and the one most likely to be neglected in a standard PQ survey that focuses only on compliance metrics. Feeder transfer capability is a supply reliability measure: the ability to switch from a primary feeder to a backup feeder when the primary fails.

The risk assessment addresses three distinct concerns:

  • Voltage step on transfer — if the two feeders deliver different voltage levels at the factory’s PCC (due to different transformer tap settings, different feeder impedances, or different loading conditions on each feeder), transferring the load will cause a step change in supply voltage. A large step — more than 5–10% — can cause motor speed changes, drive trips, and control system upsets across the entire facility simultaneously
  • Voltage sag during transfer — even a fast automatic transfer (sub-cycle to a few cycles) causes a brief voltage depression as the new feeder takes on the load. If the factory has sensitive equipment with tight voltage tolerance, this transfer sag may cause production disruptions indistinguishable from a grid-caused sag event
  • Harmonic environment change — the two feeders may have different source impedances and different background harmonic levels, particularly if the alternate feeder serves different customers. The factory’s harmonic resonance conditions — determined by the interaction between transformer impedance, capacitor bank size, and source impedance — will change after transfer, potentially moving a resonant frequency from a non-problematic location to one that amplifies harmonic currents from the factory’s own drives
The Value of Pre-Transfer Monitoring

The only way to assess feeder transfer risk accurately is to measure the PQ characteristics of both feeders simultaneously — before any transfer occurs. A monitoring campaign that measures only the primary feeder cannot characterise the alternate feeder’s voltage level, harmonic background, or impedance characteristics. The Oliveira paper’s approach — monitoring the full four-parameter PQ suite with the objective of evaluating feeder transfer risk — represents the minimum information required to make an engineering judgment about whether automatic transfer switching will improve or worsen the factory’s reliability position.

07 Power Quality Perspective

The Oliveira paper’s lasting contribution is methodological rather than technical: it demonstrates that a comprehensive industrial PQ assessment requires addressing multiple parameter categories simultaneously, at multiple measurement points, with the objective of answering specific engineering questions — not simply generating a compliance report.

This distinction between a compliance report and an engineering assessment is fundamental. A compliance report asks: does this facility’s PQ meet the applicable standard at the measurement point? An engineering assessment asks: what are the actual PQ conditions throughout the distribution system, how do they affect the production equipment, what reliability risks exist, and what options are available to improve the situation? The compliance report may be necessary for regulatory purposes; the engineering assessment is necessary for operational management.

The feeder transfer question — the fourth element of the Oliveira framework — illustrates this distinction clearly. IEEE 519 compliance at the PCC says nothing about feeder transfer risk. But feeder transfer risk is the most operationally significant reliability question the factory operator faces: can they maintain production if the primary feeder fails? Answering it requires the kind of integrated, multi-parameter, multi-point assessment that the Oliveira paper demonstrates.

Referências

  1. Oliveira JC et al. “A Practical Case of Power Quality Study.IEEE Transmission and Distribution Conference, 1999. DOI: 10.1109/T&D.1999.759917
  2. IEEE Std 519-1992. Práticas IEEE recomendados e Requisitos para Controle de Harmônicos em Sistemas Elétricos de Potência. IEEE, Nova Iorque, Nova Iorque, 1992. (Standard applicable at time of publication.)
  3. NEMA MG-1-2021. Motors and Generators. National Electrical Manufacturers Association, Rosslyn, VA. (Voltage unbalance derating guidelines.)
  4. IEEE Std 1159-1995. IEEE Recommended Practice for Monitoring Electric Power Quality. IEEE, Nova Iorque, Nova Iorque, 1995. (Standard applicable at time of publication.)
  5. Dugan RC, McGranaghan MF, Santoso S, Beaty HW. Electrical Power Quality Systems. 2nd ed. McGraw-Hill, 2002. (Comprehensive reference on industrial PQ assessment methodology.)
Fonte & Attribution

Oliveira JC et al.A Practical Case of Power Quality Study.IEEE Transmission and Distribution Conference, 1999. DOI: 10.1109/T&D.1999.759917. Federal University of Uberlândia, Brasil. The original paper is available for download above — IPQDF hosts this paper with the author’s permission as part of the IPQDF reference library.

The analytical commentary in Sections 1–7, the SVG diagrams, and the PQ Perspective section are original IPQDF editorial content by Denis Ruest, Mestrado. (Aplicado), P.Eng. (ret.). IPQDF does not claim authorship of the original Oliveira research.

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