INDIA Office
IT-2012 (A), RIICO IT Zone,
Ramchandrapura Industrial Area,
Sitapura, Jaipur – 302022,
Rajasthan (India)
USA Office
SOFTSERV INC. 1309,
Coffeen Avenue STE 1200, Sheridan,
Wyoming 82801

Power

Power Sector Offering

SoftServ provides innovative and cost-effective solution for power distribution sector, with an aim to enhance quality, reliability, and affordability power supply, and adoption in RDSS implementation.

 
AT &C Loss Reduction & Revenue Management Analytics and Reporting Tool
The solution analyzes the consumer behavior pattern, consumer payment prediction & implementing filed strategies for revenue recovery maximization & cash flow improvement. Also produce KPI based detailed tabular and customizable graphic reports supporting drill-down and query capability.
Key Features & Capabilities :
  1. AT&C Loss analytics through smart meters event modeling to identify energy deviation points-suspected consumers engaged in service parallel and bypass activities.
  2. Feeder economic analysis through KPI
  3. Feeder-wise stressed network analysis to manage DTs to consumers loading and identify the top best as well as worst performing feeders/ DTs.
  4. Implementing consumer indexing field verification strategies within the geographical boundary of feeder/DTs/consumers.
  5. Machine learning-based prediction model for consumer count,  payment mode, and payment.
  6. Consumers connect through (SMS, WhatsApp, Email, Field visits, Camp, etc.) to improve revenue and cash flow for utilities.
  7. Building revenue recovery strategies for shifting consumer behavior pattern 
  8. Implementing field strategies as predicted for improving consumer participation in revenue cash flow maximization. 
Smart Meter Data Analytics and Reporting Tool

Power utilities is adopting AI-ML based multi-level approach to enhance operational efficiency, and strategic decisions. This tool utilizes systems & consumer smart meters data to optimize billing accuracy, workforce management, technical loss (Network losses), and revenue loss (Inefficiency in collection/billing/Metering Theft). This tool is fully complied with AMISP-SBD for Section 6. Project Requirements( subsection 6.4- Consumer indexing, subsection 6.5- Consumer Engagement, and subsection 6.6- Analytics and Reports)

Key Features & Capabilities :
Dashboards Report :
  • High loss DTs/ Feeders,  top overloaded DTs/ Feeders,  Top feeders/ DTs with most outages
  • Top feeders with most power quality issues, DTs with high failure rate

Energy Audit :
  • Energy audit for configurable  in terms of  period and DT/feeder/ sub-division/ division/ circle wise
  • Feeder to DT  Energy Audit and DT to Consumer Audit
  • Billing and collection efficiency improvement
  • Identification of top [X] best as well as worst performing feeders and DTs

Reliability Indices :
  • Evaluation of supply reliability through SAIFI and SAIDI; CAIFI and CAIDI, MAIFI Indices

Load Management :
  • DT loading trend  in terms of overloaded, optimally loaded, near optimal, under loaded conditions.
  • Identification of consumer consumption trend higher than sanction load

Loss Analytics :
  • Action and strategies for loss analytics to identify suspected consumers engaged in service parallel activities through parameters based abnormal behavior modeling for consumer meters.

Power quality :
  • Evaluation of unbalance  current, low power factor , voltage deviation for DT/feeder.
 

Outage Management Analytics and Reporting Tool

Outage Management dashboard summaries web portal and mobile application for unscheduled and scheduled outages of distribution infrastructure like Distribution Transformers (DTs), HT/LT feeders . Also produce KPI based detailed tabular and customizable graphic reports supporting drill-down and query capability.
Key Features & Capabilities :
  1. Feeder category wise supply and outage  analysis up to District/Block/Ward/Gram panchayat
  2. Mandate and Non-Mandate power supply analysis  as per supply criteria 
  3. Feeder load curve analysis
  4. Total supply time / outage time analysis
  5. Agriculture /Non agriculture power supply analysis