u.s - turkey smart grid workshop - hulusi kara
TRANSCRIPT
Sakarya Distribution Region
Key Figures
Distrubuted Energy 7.8 TWhInstalled Power 6.7 GVAPeak Power 1.6 GWRegion Served 19,416 km2
Population Served 2,990,679Customers Served 1,430,034Loss&Illict Usage (2012) 7.03%Loss&Illict (2012 EMRA) 7.31%
Kocaeli
SakaryaBolu
Düzce
SCADA / DMS contract signed with Siemens on 07.02.2012, and the construction has just started.
20121. GROUP (Gebze)
55 Distribution Center 5 Trans. Station410 Feeders 2012
2. GROUP (Kocaeli) 65 Distribution Center 21 Trans. Station722 Feeders
20133. GROUP (Sakarya)
73 Distribution Center447 Feeders
20144. GROUP (Bolu-Düzce)
109 (60+49) Distribution Center 572 (303+269) Feeders
TOTAL
26 Trans. Station302 Distr. Center2151 Feeders
Automated Meter Reading (AMR) contract signed with Aktek on 20.02.2012; operations started. Demand forecast system is also planned to be covered within the scope of AMR system until 30.06.2013SEDAS AMR limit 30.000 kwh in 2012. The responsibility of the distribution company; Lighting Customer Number : 7.685 (4.892- VİKO) HV Customer Number : 1.607 (355- LANDIS) LV Customer Number : 3.478 Converge system has been adopted. Enterprise Resource Planning (ERP) has been completed and Procurement, Finance, Logistics, HR and some Distribution modules went live in January 2012.
With Geographic Information Systems (GIS) ;
- The infrastructure information such as step down transformers, Distribution Centers, Transformer stations, transformers, OG and AG lines, posts, terminal boxes are converted into 1/25.000 scaled maps
-Municipality, cadastre and similar organizations data is to be stored in a common coordinated system.
In the future;
-Planned SCADA work covers % 30 of Distribution Network which will be completed by 2015.
- It will be increased to % 50 in following tariff period (2016-2020)
-Integration is planned between SCADA, ERP, Demand Forecast System, Customer Information system.
FUTURE INTEGRATION OF SMART GRID PROJECTS
• Reducing Operating Costs
• Real-Time Demand Balancing
• Energy Outages Prevention
• Reduction of technical and commercial losses
• Use of Resources more efficiently
• Increase the Quality of Energy
CONCLUSIONS
