This document proposes a novel design for a user-responsive smart meter integrated with an automated energy management system (EMS) within a supervisory control and data acquisition (SCADA)-interfaced smart grid. The system introduces distributed smart meters that intelligently notify consumers of power consumption rates and behaviors to encourage energy savings. It also isolates faulty or illegal supply connections. The design includes current and potential transformers connected to a programmable logic controller and monitoring unit, with communication enabled by Zigbee and a consumer notification system using LED, buzzer and SMS. The aim is optimized energy management within households and industries to better manage loads and prevent demand peaks in the smart grid.

1. A Novel Design of User Responsive
Smart Meter Integrated Automated EMS
in SCADA Interfaced Smart Grid
Presented by
Group V

2. 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.

3. 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.

4. 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 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.

5. Block Diagram:
Consumers Area:
Input
Programmable Logical Controller
Output
Current transformer Potential transformer
Zigbee
Relay 2
Load
Rectifications (ADC)
Rectifications (ADC)
LED
Relay 1
Buzzer

6. Monitoring or Distributer Unit:

7. 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

8. 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
 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.

9. THANK YOU