Abstact:-
With greater network complexity of power distribution, this makes it more difficult for the systemoperators to manage their network. Distribution Management System (DMS) assists the system operators toeffectively operate and control distribution system through better decisions near real time. Typically, many functionscan be included in DMS depending on utility’s requirements. These are for example, real time distribution networkmonitoring, load flow simulation for planning and analysis, or management of disturbances. Since suchrequirements may vary from utility to utility, their individual distribution system knowledge and experience resultsin lots of difficulties placed on DMS design engineers. This paper presents an alternative approach to overcomethese design problems. This approach utilizes expert knowledge relating to DMS requirement such as functionality,architecture, and customization. By using CommonKADS framework, this expert knowledge can be capturedsystemically and knowledge based system can then be developed. In this paper, the knowledge from members ofMetropolitan Electricity Authority (MEA) expert group will be captured and presented as a case study. Results ofthis reseach will show that knowledge for DMS design exists. Moreover, by developing the knowledge basedsystem this approach can assist engineers to further design an effective DMS.
Keywords:- Distribution Management System (DMS), Expert Knowledge, Knowledge Analysis and DataStructuring (KADS), Knowledge Based System
I. INTRODUCTION
Today many utilities in liberalization marketincrease their performance by applying digital controlto reduce overall cost. [1]Supervisory Control and Data Acquisition forDistribution Management System (SCADA/DMS) orDMS with many functional tools, as shown in Figure 1,will help their system operators to control thedistribution system effectively. The features allowsimplified management for large distribution networkswith frequent modifications and updating operations.Utility will focus on system reliability, power quality,system losses, customer communications and customerbilling. The DMS functions [2] can be grouped into :-
 SCADA: data acquisition, data processing andsupervisory control
 Substation Automation: control device withinthe substation such as service restoration, busvoltage control, parallel transformer control,automatic reclosing etc.
 Feeder Automation: control device on thefeeder such as fault location, fault isolation,service restoration, feeder reconfiguration etc.
 Distribution System Analysis: basicdistribution power flow and advance functionssuch as contingency load transfer, load andvoltage profile, and distribution losses etc.
 Interface to other computer system: such asCustomer Information System (CIS),Geographic Information System (GIS),Energy Management System (EMS) via,Middleware, a software layer that provides alevel of interconnection.Standard hardware architecture can be centralizedor distributed (multi-center), redundancy workstation(vendor UNIX or Linux) or personnel computer(Window or Linux). The software can be proprietary oropen. The communication in metropolitan area ismainly fiber optic. Specific or open protocols and errordetection philosophies are used for efficient andoptimum transfer of data.


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