Maximum Business Impact : Reliance Infrastructure : Automated Meter Reading

R-Infra carries out rigorous meter reading of over 2.6 mn customers in

Mumbai— month after month. This process is highly person dependent, and unless

tightly controlled, can lead to delay in meter reading cycle-time; increase in

customer complaints and queries; rise in cases where meters cannot be read and

hence leading to billing, based on estimation and delay in revenue collection,

specially for high-value customers.

In a survey carried out by the company, it was identified that the customers

appreciate accurate meter reading and billing in a timely and transparent

manner. Similarly the premium customers aspire for personalized and technology

driven services. They are on the look out for ways and means where the utility

company can help them be aware of their consumption patterns so that they can

control their energy consumption and also pro-actively plan to arrange for

payment of monthly energy bills.

Rajiv Sharaf Additional VP - IT Infrastructure & Networks Q What were the challenges and business problems that led to this project's implementation? We wanted accurate meter reading and billing in a timely and transparent manner for our high value customers. Also, we were looking for technologies that could enable energy auditing processes and help accurate accounting of T&D losses. After evaluating all technologies we found CDMA-based modems attached to digital meters would best serve the purpose. Q What were the key benefits gained in meter data management after having deployed this project? The billing cycle has been reduced by 4 days (from 10 days to six days). It is also used for analysis to understand the trend analysis, drop in consumption, abnormal power consumption by the consumer. RInfra in its endeavor to provide quality customer service of international standards has initiated proactive measures to forecast the future load requirements. The load conditions are dynamic as a result power outages are required during normal/abnormal conditions for Load balancing on the system which requires remote operation of switchgears. This helps unnecessary loading of the system and thus improves the life of the equipment. Q How do you plan to enhance it in future? We shall move towards Smart Metering Infrastructure by providing real time data to the consumer through a Web interface. The consumer shall be able to analyze his load consumption pattern, reactive power consumption, maximum demand penalties, and the system will alert him when the load exceeds over and above the contract demand.

R-Infra was also looking for appropriate technologies that could enable their

Energy Auditing process that could help accurate accounting of T&D losses and

enable resulting improvements. In order to increase operational efficiency,

enhance process capabilities and address all the above mentioned issues,

automated meter reading (AMR) solution was envisaged.

Technologies used



The company deployed CDMA-based modems, serially attached to the digital meters
for 4,916 substations/distribution transformers, 2,687 streetlights, 12,590

high-value customers and 57 receiving stations/grid stations. These modems are

installed at the customer premises and installation details are captured. They

are then verified through a remote software to check the connectivity with the

remote server. An AMR modem configuration software was developed to assign the

IP addresses to individual modems to be deployed. A forward and backward

integration of AMR server with the existing platforms such as SAP-ISU server and

SAP-Billing server (for consumer billing) was done to provide an end to end

solution.

Deployment challenges



The following were the key technical challenges faced while implementing the
project:

• Poor signal strength of the CDMA network
• Large pool of IP addresses to be configured on modems
• Remotely identify and cross verify modem connectivity to the meters
• Conduct audits of modems installed on the field
• Identifying the exact energy parameters from the XML file downloaded from
  
  the meter for the billing server
• Devising the process of providing the power supply to the modem without
  
  disturbing the meter connection

Benefits to company



R-Infra maintains the meter reading cycle time to 30 days in a sustainable
manner — month after month. The accuracy of these meter readings is maintained

to over 99.7%. The following are other benefits that have been accrued by

Reliance Infrastructure after deployment of the project



1. Optimum utilization of manpower: The manpower deployed for the monthly
meter reading activity is relieved which has led to savings in 5680 man hours

per month. Also, the reduction in transport costs for Meter reading has been by

40% per month.



2. Reduced customer service costs: During the manual meter reading
process the meters which could not be covered were billed on the basis of

assessed bills. These bills lead to major consumer complaints which required

manpower to address the complaints. The meter automation reduced the customer

service costs of R-Infra. The assessment periodicity for customers has reduced

by 50%. The loss calculation process has been speeded-up and this helped in

achieving a loss reduction of over 1% in one year, which translates to approx Rs

60 cr of revenue.



3. Reduction in commercial and technical losses: The meter data captured
is used for analysis purpose to identify the commercial and technical losses in

the system. The data helps in identifying meter tampering events, meter OFF

events, energy consumption pattern of the consumer exceeding the contract

demand, etc. Some 53 cases of power theft were reported through AMRs during 4th

quarter of last FY.