The document proposes a novel design for a user-responsive smart meter integrated with an automated energy management system in a SCADA-interfaced smart grid. The proposed system introduces distributed smart meters that intelligently notify consumers of power consumption rates and behaviors to encourage energy savings. It also isolates faulty or stolen power supply. The system uses a new intelligent load profiling algorithm over a SCADA controller to integrate these features. It offers improved smart grid modeling with user-acknowledged remote smart meters in a distributed control structure to improve efficiency and eliminate losses and theft.

1. A Novel Design of User Responsive Smart Meter Integrated Automated
EMS in SCADA Interfaced Smart Grid
Abstract:
Electricity supply is rapidly becoming more complex and variable where energy
efficiency rules are still evolving only to limited end. A near future with millions of electric
vehicles and industrial loads will dramatically increase the necessity of a demand modulation
system. The best way of practicing demand management is user responsive load management
at the consumer ends. It will be difficult to alter consumer behaviour in the direction of
energy savings unless consumers are more exposed to market prices than at present. The
proposed system introduces a distributed smart meter that intelligently notifies the power
consumption rate at various time intervals based on demand factors and power loss factors. It
also notifies the characteristic behaviour of consumption to the consumer via GSM
communication system, and isolates the supply for various faults and power theft. A new
intelligent TLPF algorithm has been implemented that confronts all these features and
executed using a SCADA controller.
Existing System:
 The present electricity networks have a technical hierarchy where energy flows from
large, centralized, fully controllable power plants to more or less passive customers at
the receiving end of the network.
 The system does not have periodic updates of power consumptions with the user.
 The consumed data will arrive to the customers in the manner of written format. It
makes the possibilities for human error.
Proposed system:
The proposed system offers a better modelling for the development of an intelligent
smart grid system with the help of user acknowledged distributed remote smart meters
interfaced in a distributed control structure aided Supervisory Control and Data Acquisition
(SCADA) system with PLC, thus to avoid many strategies related to power systems,
improving the efficiency and eliminating the fractional losses and power theft absolutely. The
system may have many applications for optimizing overall energy management within the

2. house hold consumers and industries, manages the load in the grid and prevent power
demand peaks with an interface between the utility-controlled smart grid and consumers.
Block Diagram:
Consumers Area:
Monitoring or Distributer Unit:
SCADA & LabVIEW
RS 232Zigbee
Input
Programmable Logical Controller
Output
Current transformer Potential transformer
Zigbee
Relay 2
Load
Rectifications (ADC) Rectifications (ADC)
LED
Relay 1
Buzzer

3. Process Needs:
Hardware requirements:
 Current transformers
 Potential transformers
 Zigbee
 PLC
 PC
 LED
 Buzzer
 Rectifier
Software Requirements:
 PLC Programming: WPL Soft V2.36
 I/O Interfacing: Kepserver
 SCADA: Wonderware Intouch
 LabVIEW
Type:
Prototype model
References:
1. A Smart energy Meter Architecture, Prudhvi, Potuganti , Pages 1 - 6 Iranian Conference on
Smart Grids (ICSG), 2nd Jan2012.
2. Evaluation of residential smart meter policies, WEC-ADEME Case studies on Energy
Efficiency Measures and Policies , Jessica Strom back and Christophe Dromacque,
VaasaETT Global Energy Think Tank
3. Implementing the Energy Efficiency Directive provision for easy access to 24 months of
daily/weekly/monthly/annual consumption data for consumers with smart meters.
Department of Energy and Climate Change, Orchard 3, Lower Ground, London.
4. D. Li, Z. Aung, J. Williams and A. Sanchez, "Efficient Authentication Scheme for Data
Aggregation in Smart Grid Fault tolerance and Fault diagnosis", IEEE Power and Energy

4. Society Conference on Innovative Smart Grid Technologies (lSGT'12), 1-8 (2012).
5. Hart, D.G.; "Using AMI to Realize the Smart Grid," IEEE PES General Meeting, July
2008, pp. l - 2.