What brings smartness- smart meter/ smart analytics
CBIP Workshop on Technical and Testing Challenges for Smart Meters
                      2-3 Nov 2017, New Delhi
                        Dr. Anukram Mishra
             Genus Power Infrastructures Limited
Contents
What brings smartness- smart meter/ smart analytics
•   Let’s understand smart meter
•   Benefits to utility and consumers
•   Linking smart meter data with end use
•   Interval data and its importance
•   Smart data analytics
•   Proposed innovations
•   Conclusion
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Let’s understand
Additional functionalities in smart meter
-   Two way communication
-   Connect/ disconnect
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                               Smart Utility Landscape
Smart Meter              Smart Meter                Smart Meter
   GSM                       RF                        PLC
                                                                   Customer Interface
                          I                                    I
                          O                                    O
         I                T                                    T
         O          RF/PLC – Collector
         T
                              HES                                  Mobility Solutions
         ESB-Enterprise Service Bus(Multi-Speak & CIM)
              MDM / managed services solution
      Utility-MIS                              CIS & Billing
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Utility: Loss/Utility operational efficiency improvement
                                     Benefits of smart metering
•   Active tracking of suspicious/ inactive meters and theft in real time, use of analytics
•   Control of renewable integration, export only when utility needs it
•   Enforcement of sanctioned load limit, IS 16444, Cl. 11.1, 11.2
•   Improved and mistake-proof billing processes and efficiency, post and prepaid options
•   Faster consumer complaint response time due to outage detection
•   Customer service connection/disconnection convenience, saves efforts and time
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Consumer and Societal Benefits
•   Safety features against shock hazard, fire hazard
•   DSM, flattening of peak demands, reduction in outages, personal energy management
•   Smart In-home Systems – to provide energy information and consumption feedback
•   Lower Energy Bills – by shifting consumption to off-peak periods and by conservation
                              Smart meter data and smart data analytics can be very useful for consumers
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Linking smart meter data with end use
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Interval data constitutes 77% of total throughput
                                           Interval data is like omni bus
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Estimated smart meter data throughput for
India
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 Problem of abundance
*Provided data is designed SMART
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SMART Data, Block load profile IS 15959 (Part 2)
• Specific
•   Measurable                    Interval data
                                  1.0.99.1.0.255
                                                     Use, different capture parameters for different meters
•   Accurate                      kWh import
                                  kWh export
                                                     Real time energy accounting, modelling, forecasting
                                                     Real time energy accounting, modelling, forecasting
•   Result oriented               *Abnormality        Need to incorporate for safety features (overload,
                                  flags               temperature, leakage, outages, low signal strength,
•   Timely                                            internet not connected etc.) for conservation of AMI
                                                      traffic
             *There is a strong justification for a debate to re-design the interval data profile
             Proposal to add abnormality flags
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Smart use of DLMS: APDU Data Compression
 Example Load Profile reading from 1P Meter for 8 IP with 6 channels
 including RTC as per IS 15959 part 2,       300
 1.0.99.1.0.255                              250
                                                           200
                                                           150
                                                           100
                                                            50
                                                             0
                                                                 Conventional     with Null   With compact
                                                                                                  array
  Bytes in APDU       Conventional       With Null Vector for next     With Compact Array* and null
                      Method             RTC                           vector for next RTC
  Bytes to be sent       278 (100%)              187 (67%)                            142 (51%)
  by Meter
 *After taking up with DLMS UA, support of compact array is now included in CTT
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Proposal to add more ‘Push’ profiles in IS
to reduce unnecessary data traffic, conserve resources and improve
reliability
    Profile                       Push frequency            Time division
    Interval data compact array   5 minutes to 4 hours (    5 min slots for
                                  array of last 4 hour      TDM
                                  intervals) depending on
                                  type of meter
    Daily energy registers        At midnight               5 min slots for
                                                            TDM
    Billing data                  On billing date at        5 min slots for
                                  midnight                  TDM
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Safety feature, PoC to demonstrate smart meter as RCCB
      RCCB, trip time 34.2ms                        Smart Meter, trip time 26.4ms
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Smart meter as MCB (short circuit protection)
                          Smart meter can prevent short circuit fires
*With use of PGA’s management it is possible to detect short circuit from overload in mere 60ms
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Conclusion
• Smartness lies in the information sent in AMI data for each end -use
     –   Specific
     –   Measured
     –   Accurate
     –   Result oriented—mapped to the end use
     –   Timely
•   AMI data and push profiles need to be designed intelligently to meet SLA’s. Alarm
    flag addition in interval data, smart data compression within DLMS framework
•   Smart features can be added in smart meters to provide safety and transparency
    to consumers through mobile Apps
•   Smart analytics is the name of the game today
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Thanks for your attention
  LUCK IS WHAT HAPPENS WHEN PREPARATION MEETS OPPORTUNITY
                                                   -SENECA
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