Client: An Electric Utility in North India.
Objective: Distribution Network Database Management and Planning of complete 21 distribution districts.
Duration: 3 months
Study:
The entire distribution area of the utility consisted of about 1400 feeders and approximately 7500 distribution transformers. The area was almost wholly urban and was served by mostly, underground cables in a ring network.
The challenge was to organise an array of data like SLDs, asset management reports, and log sheets into a workable and uniform one line diagram. Managing such a large volume of data is a challenge in itself and this becomes even more complicated once the network system is dynamic. Speed is a major factor when creating such scenarios because the distribution networks are dynamic and longer the time taken the more will be the difference between the digitised network and actual network. Also the data is scattered which makes it difficult when integrating the network.
Approach:
Most of the data was available with operations and maintenance department – we started with that data. Since this data was required to be updated with the field office so it was considered final only after confirmation from field office. From time to time there was requirement for a field survey for intricate details or for resolving the observed contradictions between the field data and O&M data. While coping with the dynamic nature of distribution network, there was requirement for retrospection whether we are as per the planned pace.One major hassle was load data. It was required for analysis that we get the simultaneous load data from different distribution transformers. The magnitude of such networks being so large, it was not possible to deploy people with instruments at so many DT locations and take corresponding readings. To solve this problem, feeder demand from grid stations was collected, along with the connected load (no of metered consumers and their allocated load) for different distribution transformers and the load was then allocated.
Conclusion:
We could complete the work in record time and make submissions on the due date as per client specifications.
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