**Section 5**

**Application to Power System Engineering Problems** 

312 Fuzzy Inference System – Theory and Applications

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**15** 

*Malaysia* 

**Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy** 

Fault diagnosis in power distribution system is an initial action in preventing power breakdown that will affect electrical consumers. Power utilities need to take proactive plan to ensure customer satisfaction and continuous power supply. Power breakdown is a problem to utilities as well as energy users and there are a lot of factors that can cause interruption to the power system. Power distribution system is exposed to approximately 80% of overall faults that come from a wide range of phenomena including equipment failure, animals, trees, severe weather and human factors (Marusic & Gruhonjic-Ferhatbegovic, 2006). Whenever any of these factors befall the power system, costumers will experience power failure which will disturb their daily transactions. Since customers need smooth and reliable power supply, utilities have to develop an electrical power that has quality, reliability and continuous availability; they are responsible for the planning of power restoration properly in order to maintain high market place. Most engineers in power distribution system have decided that power breakdown is related to system reliability

One problem when breakdown occurs is the long time taken to provide reenergized power after fault. To quote some examples are the power breakdown that occurred in Keningau, Sabah, East Malaysia on July 5, 2009 in which about 2 to 3 hours were taken for repairing. A power failure also happened in Lembah Klang, West Malaysia on January 13, 2005 for 5 hours that affected many industries (Fauziah, 2005). In Cameron, Middle of Africa, the engineers had taken 2 hours to detect the fault location in AES-SONEL Ngousso substation on April 2006 (Thomas & Joseph, 2009). This phenomenon has to be considered seriously by power utilities so as to overcome frequent breakdowns and provide power restoration plan effectively. If they are unable to solve the problem effectively, they will lose consumers' confidence and power system maintenance will highly increase. In addition, power system that has low reliability encourages repeated significant faults. The faults require time for restoration. There is an index to control the duration within power interruption, which is called the customer average interruption duration index (CAIDI). Therefore, power utilities are urged to aim for low index value so that the system reliability can be maintained

**1. Introduction** 

issues (Richard, 2009).

(Richard, 2009).

**Inference System (ANFIS)** 

Rasli1, Hussain2 and Fauzi1 *1Universiti Teknologi Malaysia 2Universiti Kebangsaan Malaysia* 
