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Opt imum Operasi dan Keandalan

Sist em Tenaga List rik

Oleh :

Prof. Ontoseno Penangsang, Ph.D Dr. Eng. Rony Seto W ibow o

Laborat orium Simulasi Sist em Tenaga List rik

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Cont ent s

Basic Probabilit y Theory

Applicat ion of Binomial Dist ribut ion

Generat ion Syst em Reliabilit y Analysis

Transmission Syst em Reliabilit y Analysis

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DAFTAR PUSTAKA

Roy Billint on, Ronald N Allan, “ Reliabilit y

Evaluat ion of Engineering Syst ems” Plenum Press : New York, 1992

Roy Billint on, Ronald N Allan, “ Reliabilit y

Evaluat ion of Pow er Syst ems” Plenum Press : New York, 1996

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Basic Probabilit y Theory

Oleh :

Dr. Eng. Rony Seto W ibow o

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Probabilit y Concept

• Mathematically, it is a numerical index that can vary between zero to unity

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Example

Anggap kit a melempar dua buah dadu

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Permut at ions and Combinat ions

• The number of permutations of n different items is the number of ways these items can be arranged

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Example

Anggap kit a mempunyai 3 buah buku dengan nama A, B dan C. Berapa kemungkinan kit a menyusun ket iga buku t ersebut ?

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Rules for Combining Probabilit ies

Rule 1 – Independent event s

Rule 2 – M ut ually exclusive event s

Rule 3 – Complement ary event s

Rule 4 – Condit ional event s

Rule 5 – Simult aneous occurrence of event s

Rule 6 – Occurrence of at least one if t w o event s

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Example

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Probabilit y Densit y Funct ion

• The summat ion of

probabilit ies should equal unit y

• Probabilit y densit y Funct ion (a) Separat e dat a

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Probabilit y Dist ribut ions Funct ion

• PDF is obt ained by

summat ing t he densit y funct ion (numerically, int egrat ing)

• Discret e random variable : (a) Separat e dat a

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Probabilit y Dist ribut ions

• Cont inuous random variable :

(a) Probabilit y

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M at hemat ical Expect at ion

M oment s of dist ribut ion, also know n as

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Example

The data of copper lengt h measurement are as follow s :

5,97 5,97 5,98 5,98 5,98 5,99

5,99 5,99 5,99 5,99 6 6

6 6 6 6,01 6,01 6,02

6,02 6,02

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Variance and St andard Deviat ion

A measure of dispersion of a dist ribut ion is defined as Variance V(x)

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Example

The data of copper lengt h measurement are as follow s :

5,97 5,97 5,98 5,98 5,98 5,99

5,99 5,99 5,99 5,99 6 6

6 6 6 6,01 6,01 6,02

6,02 6,02

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Applicat ion of t he Binomial

Dist ribut ion

Oleh :

Dr. Eng. Rony Seto W ibow o

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General Charact erist ic

Binomial dist ribut ion can be represent ed by general expression :

(p+q)2

Required condit ions are :

– Fixed number of t rial

– Tw o possible out comes : success ad failure

– Probabilit ies of success and failure are remain const ant

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Binomial Coefficient s

One essent ial aspect of t he binomial dist ribut ion is t o evaluat e nCr

1

1 1

1 2 1

1 3 3 1

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Expect ed value

Expect ed value of binomial dist ribut ion can be expressed as follow s:

Finally,

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Example

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Generat ion Syst em Reliabilit y

Analysis

Oleh :

Dr. Eng. Rony Seto W ibow o

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Int roduct ion

Generat ion syst em planning is one of t he crucial st eps in modern elect ric ut ilit y.

Generat ion expansion plan must sat isfy

cust omer needs for reasonably price, reliable and qualit y.

The elect ricit y indust ry is a very capit al int ensive indust ry

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Expansion Plan Considerat ion

Uncert aint y of load in t he fut ure

Unit reliabilit y and maint enance schedules

Fuel Cost s

Environment Issues

Const ruct ion Cost s

Const ruct ion Times

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Reliabilit y Indices

Reliabilit y indices most ly used in generat ion syst em expansion are :

Loss of Load Probabilit y (LOLP)

Expect ed Value of Demand not served

(DNS)

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Pract ical Generat ion Planning

In Pract ical, t he considerat ions are :

Load Grow t h

Const ruct ion Time

Availabilit y of Sit es

Availabilit y of Fuel

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Probabilist ic Generat ing Unit M odels

M ainly, generat ion syst ems consist of many t ype of generat ors. They can be cat egorized as t he follow ing :

Based Load unit s. Capacit y fact or : 90 – 95 %. Nuclear, Coal St eam Turbine unit s

M idrange unit s. Capacit y fact or : 30 – 75 %. Combine Cycle unit s, St eam Turbine Unit s

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Transmission Syst em Reliabilit y

Analysis

Oleh :

Dr. Eng. Rony Seto W ibow o

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Dist ribut ion Syst em Reliabilit y

Analysis

Oleh :

Dr. Eng. Rony Seto W ibow o

Referensi

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