The aim is not many complicated indices, but as few as possible without losing essential information. A good power-quality index should be:
\[ \text{simple} + \text{representative} + \text{repeatable} + \text{stable over time} \]
so that it can be compared across sites, years and operating conditions, and used to report performance to customers, regulators and operators.
Key idea
- Reduce raw data to a few indices: data → index → comparison with an objective.
- Separate planning indices (internal emission control) from voltage-characteristic indices (external reporting).
- For steady-state disturbances the reporting index is the weekly 95% value — \(U_{h,sh95}\), \(P_{lt95}\), \(U_{\text{neg},sh95}\).
- Dips and interruptions use event-based and customer-based indices — SARFI, SAIFI, SAIDI, CAIDI, ENS.
Section 1
The purpose of quality indices
Indices convert raw measurement data into values that can be compared with an objective — a planning level, voltage characteristic, contract, regulatory target or equipment criterion:
\[ \text{measurement data}\;\rightarrow\;\text{quality index}\;\rightarrow\;\text{comparison with objective} \]
For steady-state disturbances — harmonics, flicker, unbalance — two categories are needed, with different purposes: planning indices and voltage-characteristic indices.
Section 2
Planning indices versus voltage characteristics
Planning indices are the operator’s internal tool for controlling future disturbance — setting emission limits for large loads and evaluating the combined effect of many installations. They may be more detailed than reporting indices, because they must control both sustained levels and higher short-term emissions during start-up, bursts or process changes. They matter most when connecting disturbing installations:
Table 1 — Disturbing installations and their main disturbance.
| Disturbing Installation | Main Disturbance |
| Arc furnaces | Flicker, harmonics, unbalance |
| Large converters / rectifiers | Harmonics |
| Traction loads | Unbalance, harmonics, flicker |
| Large motor loads | Flicker, voltage dips |
| Wind and solar plant | Harmonics, flicker, voltage changes |
| Large single-phase loads | Unbalance |
Voltage-characteristic indices describe the quality customers can expect at their terminals under normal conditions. They are simpler — intended for customer, regulatory and management reporting and long-term tracking — and should not require excessive interpretation. The fundamental principle is that planning levels must leave margin below the characteristic:
Planning level < voltage characteristic.
because the total disturbance at a supply point is the sum of many contributions, and if every user reached the characteristic limit the combined level would exceed it:
\[ D_{\text{total}} = D_{\text{background}} + D_{\text{existing}} + D_{\text{new}} + D_{\text{future}} \]
Section 3
Site indices and system indices
Indices are formed at two levels. A site index describes one location — a PCC, busbar or supply point. A system index describes a group of sites, a voltage level or a region:
\[ \text{measured data}\;\rightarrow\;\text{site index}\;\rightarrow\;\text{system index} \]
The site index drives customer-specific assessment; the system index drives network-level reporting and long-term performance monitoring.
Section 4
Harmonic indices for planning
Harmonic planning uses individual harmonic voltages and THD, based on a very short-time value \(U_{h,vs}\) (3-second RMS) and a short-time value \(U_{h,sh}\) (10-minute RMS). The recommended planning indices combine both, to control sustained levels and short bursts:
Table 2 — Recommended harmonic planning indices.
| Index | Meaning |
| \(U_{h,vs95,daily}\) | 95% daily value of the 3-second harmonic voltage |
| \(U_{h,sh99,weekly}\) | 99% weekly value of the 10-minute harmonic voltage |
| \(U_{h,vs99,weekly}\) | 99% weekly value of the 3-second harmonic voltage |
\[ U_{h,\text{index}} \;\le\; U_{h,\text{planning level}} \]
The very short-time 99% value may be permitted to exceed the normal planning level by a factor set by the operator — recognising that brief emissions can be acceptable if they do not persist long enough to stress equipment or distort the system.
Section 5
Harmonic reporting and system indices
For voltage characteristics the site index is simpler — the weekly 95% value of the 10-minute harmonic voltage, applied to each order and to THD:
\[ U_{h,sh95,weekly} \;\le\; U_{h,\text{voltage characteristic}} \qquad \mathrm{THD}_{V,sh95,weekly} \;\le\; \mathrm{THD}_{V,\text{voltage characteristic}} \]
The system index is the site-index value not exceeded by a high proportion of sites — calculated separately for each order, because the worst 5th-harmonic site is rarely the worst 7th- or 11th-harmonic site:
\[ U_{h,\text{system}} = \text{high-percentile site value of } U_{h,sh95,weekly} \qquad (90\%,\ 95\%,\ 99\%) \]
An alternative system index — the percentage of sites exceeding the objective — is simple and useful for regulatory reporting. In every case, harmonic accuracy depends on the whole measurement chain: at HV/EHV, capacitive voltage transformers can resonate within the harmonic range and distort the result, so the arrangement (VT type, frequency response, instrument class, aggregation, transient flagging) should be checked before the data is used, and maximum values treated with caution.
Section 6
Flicker indices
For planning, the main index is \(P_{st}\), reported as \(P_{st95,weekly}\) and \(P_{st99,weekly}\), with the 95% value checked after allowing for transfer between voltage levels:
\[ P_{st95,weekly} \;\le\; P_{st,\text{planning level}} \]
The operator may permit a higher 99% value by a set factor. \(P_{lt99,weekly}\) is not generally recommended for planning, because it can be skewed by voltage dips unless they are properly flagged and removed. For voltage characteristics the site index is the weekly 95% long-term value, which represents sustained exposure:
\[ P_{lt95,weekly} \;\le\; P_{lt,\text{voltage characteristic}} \]
A routine flicker system index is usually not recommended, because flicker monitoring is concentrated at known problem sites and is not an unbiased sample:
A few problem-site monitors \(\neq\) a representative system index.
And because emissions vary with process and network state, an important source — an arc furnace, say — may need several one-week surveys at different times of year to capture scrap composition, operating stage, fault level, compensation state and seasonal change. The rule: the measurement must capture the full operating behaviour of the disturbing process.
Section 7
Unbalance indices
Because unbalance, like harmonics, has thermal effects in machines, its planning indices follow the same philosophy, built on the negative-sequence factor:
\[ U_{\text{neg}} = \frac{U_2}{U_1}\times 100 \]
- \(U_2,U_1\)
- negative- and positive-sequence voltage (fundamental)
The recommended planning indices are \(U_{\text{neg},vs95,daily}\), \(U_{\text{neg},sh99,weekly}\) and \(U_{\text{neg},vs99,weekly}\), checked as \(U_{\text{neg},\text{index}}\le U_{\text{neg},\text{planning level}}\); high or maximum values should be flagged for dips and swells. For voltage characteristics the site index is the weekly 95% value:
\[ U_{\text{neg},sh95,weekly} \;\le\; U_{\text{neg},\text{voltage characteristic}} \]
The system index is again the high-percentile site value, or the percentage of sites exceeding the objective. Unbalance measurement needs care: \(U_2\) is small relative to \(U_1\), so a small error in magnitude or phase angle — from VT inaccuracy, unequal burden or wiring — produces a large relative error. Use a fundamental-only, line-to-line measurement with accurate phase angle and a balanced burden.
Section 8
Voltage dip indices
The recommended single-event indices are the retained voltage and the duration:
\[ U_{\text{retained}} = \min\!\left(U_{\text{rms}(1/2)}\right) \qquad\qquad t_{\text{dip}} = t_{\text{end}} - t_{\text{start}} \]
- \(U_{\text{retained}}\)
- lowest half-cycle RMS voltage during the dip
- \(U_{\text{rms}(1/2)}\)
- half-cycle refreshed RMS voltage
- \(t_{\text{start}},t_{\text{end}}\)
- times the RMS crosses the start and recovery thresholds
measured on all three phases (the dip may be unbalanced), with the start/end thresholds and reference voltage declared. Site indices are then built from all events over the monitoring period — for equipment compatibility, customer information, premium-power contracts and mitigation selection:
Table 3 — Voltage dip site-index reporting methods.
| Method | Use |
| Voltage-dip table | Events by retained voltage and duration |
| Contour chart | Event frequency on the magnitude-duration plane |
| SARFI index | Events below a selected voltage threshold |
| Curve-based count | Events more severe than ITIC, SEMI or a custom curve |
| Custom site index | Specific to a customer process or contract |
System indices aggregate site indices over a network — an average or a high-percentile (e.g. 95%) site value — optionally weighted by number of substations, customers, rated power, network category or voltage level. At HV/EHV, phase-to-phase measurement better represents what downstream equipment sees after transformer connections.
Section 9
Time aggregation and future direction for dips
Dips often cluster — an unsuccessful auto-reclose can produce several within seconds. Counting each separately overstates the total; aggregating too hard loses information. So closely related events are combined, for example taking the deepest retained voltage and the longest duration:
\[ U_{\text{retained,agg}} = \min\!\left(U_{\text{retained}}\right) \qquad t_{\text{agg}} = \max\!\left(t_{\text{individual}}\right) \quad\text{or}\quad t_{\text{agg}} = \sum t_{\text{individual}} \]
Time aggregation changes the event count — so the aggregation window and method must be declared.
Future dip assessment may add phase-angle jump, point-on-wave, symmetrical-component voltages, dip type, origin (upstream or downstream) and cause classification — helping identify whether a dip came from a fault, motor start or transformer energisation, and improving prediction of equipment response, at the cost of more complex presentation.
Section 10
Distribution interruption indices
MV distribution uses customer-based indices — \(\mathrm{SAIFI}\), \(\mathrm{MAIFI}\), \(\mathrm{SAIDI}\) and \(\mathrm{CAIDI}\):
\[ \mathrm{SAIFI}=\frac{\sum N_i}{N_T} \qquad \mathrm{MAIFI}=\frac{\sum NM_i}{N_T} \]
- \(N_i\)
- customers interrupted in each sustained event
- \(NM_i\)
- customers interrupted in each momentary event
- \(N_T\)
- total customers served
\[ \mathrm{SAIDI}=\frac{\sum r_i N_i}{N_T} \qquad \mathrm{CAIDI}=\frac{\sum r_i N_i}{\sum N_i}=\frac{\mathrm{SAIDI}}{\mathrm{SAIFI}} \]
- \(r_i\)
- restoration duration of each sustained interruption
So SAIFI is sustained interruptions per customer, MAIFI momentary interruptions per customer, SAIDI the average annual interruption time per customer (minutes/customer/year), and CAIDI the average restoration time for customers who were interrupted.
Section 11
Transmission interruption philosophies
HV/EHV reporting is more complex; three philosophies are used, each answering a different question, and a utility should pick one and declare it:
Table 4 — Transmission interruption reporting philosophies.
| Philosophy | Main Question |
| Connection point performance | Did the transmission interface remain available? |
| End-customer performance | Did actual customers lose supply? |
| System energy performance | How much energy was not served? |
Connection-point indices — \(\mathrm{SAIFI}_{CPI}\), \(\mathrm{MAIFI}_{CPI}\), \(\mathrm{SAIDI}_{CPI}\), \(\mathrm{SAIRI}_{CPI}\) — describe the transmission interface, which may be interrupted even when the distribution network back-feeds the load. End-customer indices describe what customers actually experienced, but depend on downstream configuration and data. The two are not the same:
A connection-point interruption \(\neq\) an end-customer interruption.
Section 12
System interrupted energy and system minutes
The energy philosophy uses estimated energy not supplied, which represents severity better than a customer count when a single transmission customer is very large:
\[ \mathrm{EENS}_{SI}=\mathrm{PNS}\times T \]
- \(\mathrm{PNS}\)
- power not supplied
- \(T\)
- interruption duration
From this come the average interruption time, duration and frequency, and the energy availability:
\[ \mathrm{AIT}=\frac{\sum \mathrm{EENS}_{SI}}{\mathrm{YEC}}\times 8760\times 60 \qquad \mathrm{AID}=\frac{\sum T\cdot \mathrm{PNS}}{\sum \mathrm{PNS}} \qquad \mathrm{AIF}=\frac{\mathrm{AIT}}{\mathrm{AID}} \]
- \(\mathrm{YEC}\)
- yearly energy consumption
\[ \text{Availability}=100\left(1-\frac{\mathrm{EENS}}{\mathrm{YEC}}\right) \qquad\qquad \mathrm{SM}=\frac{\mathrm{ENS}\times 60}{\mathrm{PD}} \]
- \(\mathrm{PD}\)
- peak system demand for the reporting year
System minutes express interruption severity relative to system size, and can be graded:
Table 5 — System-minute severity degrees.
| Degree | System Minutes | Interpretation |
| 0 | Below 1 | Normally acceptable for some systems |
| 1 | 1 to 9 | Significant impact |
| 2 | 10 to 99 | Serious impact |
| 3 | 100 or more | Very serious impact |
Section 13
Documentation and application rules
Interruption indices are only meaningful if the reporting basis is declared:
Table 6 — What an interruption report must state.
| Item | Why It Matters |
| Reporting philosophy | Connection point, end-customer or energy |
| Planned events included/excluded | Changes results significantly |
| Connection-point definition | Determines the event count |
| Momentary/sustained threshold | Defines MAIFI, SAIFI and SAIDI |
| Single-phase events included/excluded | Affects event frequency |
| Customer-caused events | Determines responsibility |
| Time aggregation method | Affects the event count |
| Load-shed events included/excluded | Affects ENS and system minutes |
As a rule, transmission reporting applies to transmission-caused events; customer- or distribution-caused events are excluded unless the transmission system failed to protect itself or interrupted third parties. Where customers hold reliability contracts, contracted interruptions may be excluded if only those customers are affected — but this must be declared, and for lower-than-standard contracts, dual reporting (including and excluding the contracted interruptions) avoids hiding genuine degradation.
Section 14
Key message
The recommended index set is compact and consistent: for harmonics, planning on \(U_{h,vs95,daily}\), \(U_{h,sh99,weekly}\), \(U_{h,vs99,weekly}\) and reporting on \(U_{h,sh95,weekly}\); for flicker, planning on \(P_{st95,weekly}\)/\(P_{st99,weekly}\) and reporting on \(P_{lt95,weekly}\); for unbalance, the same shape on \(U_{\text{neg}}\); for dips, the single-event \(U_{\text{retained}}\) and \(t_{\text{duration}}\) with SARFI / tables / contour charts; and for interruptions, \(\mathrm{SAIFI},\ \mathrm{MAIFI},\ \mathrm{SAIDI},\ \mathrm{CAIDI}\) at distribution and a declared philosophy at transmission.
Key message
Good indices reduce a flood of data to a few stable, comparable numbers — planning indices to control future emissions, voltage-characteristic indices to report supply quality, site indices for one point and system indices for the network. But an index is meaningful only when its definition, calculation basis and reporting context are declared. A robust reporting framework must always specify the index + measurement method + assessment period + statistical probability + site/system basis + included and excluded events + objective. Only then can power-quality performance be assessed consistently and compared fairly over time.