Ingeniería de Desarrollo y Mantenimiento · PDF fileIngeniería de Desarrollo y...

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Dirección de Desarrollo y Mantenimiento Ingeniería de Desarrollo y Mantenimiento SUBESTACIONES SUBESTACIONES SE. SANT JUST – MONITORING SUBSTATION PROJECT Jordi Farrero Prague, 8-11 June 2009

Transcript of Ingeniería de Desarrollo y Mantenimiento · PDF fileIngeniería de Desarrollo y...

Dirección de Desarrollo y Mantenimiento

Ingeniería de Desarrollo y Mantenimiento

SUBESTACIONESSUBESTACIONES

SE. SANT JUST – MONITORING SUBSTATION PROJECT

Jordi FarreroPrague, 8-11 June 2009

RCM – CBM & MONITORING

• “MAINTENANCE ONLY AFTER THINK”• WHAT FOR Maintenance?

– To avoid some unavailabilities;– To prolong useful life of assets;

• WHICH Target?– Quality and continuity in supply

• HOW?– To maximizing intervals (time between two consecutive maintenance

actions);– To minimize costs (not to support of any more)

• BASIS– Expert knowledge of article to supporting;– Historical behaviour – statistical of article to supporting.

Ideal results

( )Tf

1TT

2T

– : success probability of a maintenance period T;• Gaussian: presents not void dispersion;• : success probability = 100%, T2 variable; T2 > T1

( )Tf

( )2TT −δ

Methodology

First: Observation• Variables• Behaviour• Tendency• Anomalies

Then: Expert treatment• Analysis• Prediction• Treatment• Improvement

¿Where? - MICRO PLAN

Identification of critical Substations (185 / 1100)

19

185

19

53

8311

19

185

19

53

8311

1100

SS.EE. con más de 15.000 clientes por barra operativa.

SS.EE. urbanas con más de 10.000 clientes por barra operativa.

SS.EE. con más de 25.000 clientes.

SS.EE. con más de 20 MW de punta en 2003 por barra operativa.

SS.EE. con más de 90 GWh de energía 2003 por barra operativa.

SS.EE. especialmente sensibles según criterio Territorial.

SS.EE. con más de 15.000 clientes por barra operativa.

SS.EE. urbanas con más de 10.000 clientes por barra operativa.

SS.EE. con más de 25.000 clientes.

SS.EE. con más de 20 MW de punta en 2003 por barra operativa.

SS.EE. con más de 90 GWh de energía 2003 por barra operativa.

SS.EE. especialmente sensibles según criterio Territorial.

Flow chart: RCM

RCM

Modify:»Maintenance Program»Maintenance Strategies

Repository

SS.EE. 1 SS.EE. 2 SS.EE. n…

Maintenancewindow

Other origin

Information

Repository

Substation information: Monitoring

Position 1 Position 2 Position 3 Position N

Substation 1

Substation 2

…Substation 3

Substation N

Pilot: SE Sant Just

Pilot Project SE Sant Just: TECHNICAL SOLUTION SWITCHES MONITORING 220, 66, 25 kV

Pilot Project SE Sant Just: THECNICAL SOLUTION MONITORING INSTRUMENT TRANSFORMERS 1, 2, 3 Y 4

Pilot experience (I)

Up: TR-2 Sant Just

Right: TR-4 Sant Just

Pilot experience (II)

Pilot experience (III)

• Transducers CALISTO– Dissolved gases and oil dampness

Analyzer– Sending signals to the monitoring

equipments (AREVA MS-3000 óABB TEC 2.0)

Pilot experience (IV)

Up:• Dissolved gases analyzer Hydran. Send

signals to the monitoring equipment

Right:• Monitoring equipment ABB TEC 2.0.

Pilot experience (V)

• Monitoring equipment AREVA MS-3000– PC embedded to get information– Transmits data to the local PC (CITCEA)

for its treatment and later storage.

Pilot experience (VI)

• Protection relays AREVA MiCOM P-132– It is send the MT cells switch

state to the PC

Pilot experience (VII)

MONTSE • Elaborated equipment by NÚCLEO• Transducer of signal relays AREVA

MiCOM to the local PC.

Pilot experience (VIII)

• Centralizer enclosure TR-5• Local Computer. Receiving information TR-5, TR-2, and MT switches.

– Sending information to the Corporative repository (PI)

Pilot experience (IX)

Local PC. Reading information from the monitoring equipment.

Even so… it is needed of: (I)

• Problem analysis• Searching solutions• Kaizen• Models revision

Even so… it is needed of: (II)

Analysis

Diagnostic

Actuation

Optimization

Improvement

Collaboration

Renovation

Innovation

Teamwork

Processing information

PROCESSING INFORMATION

• Incidental study analysis

• Analysis and study of behaviour in real time

• Normal behaviour models

Incident history analysis

Own development of applications for analysis and study of the incidents by MATLAB

• Analysis of the unavailabilities duration and its impact• Estimation of average times between unavailabilities

(by device or device and substation)• Estimation of average time between availabilities• Estimation of the impact rate for unavailabilities• Estimation of the next dates of failure risk in f (impact rate,

unavailabilities frequency)

Thank you for your attentionUnidad de Ingeniería de Desarrollo y Mantenimiento de Subestaciones