SMART Grid Integration Through Advance Analytic Solutions Conference on Transmission Distribution & Metering India (Enabling Smart Grid Smart Metering)

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<ul><li> Slide 1 </li> <li> SMART Grid Integration Through Advance Analytic Solutions Conference on Transmission Distribution &amp; Metering India (Enabling Smart Grid Smart Metering) New Delhi 10-11 November 2010 Arindam Ghosh </li> <li> Slide 2 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Smart Grid Vision To digitize a largely passive network into a two-way, interactive information highway to support metering and grid monitoring and control, from demand management to self- healing circuits. Grid intelligence (collecting and analyzing data about grid activities and behaviors) and the ability to act in real-time are the defining capabilities. Smart Grid involves a large-scale investment in T&amp;D infrastructure aimed at enabling, and improving, advanced metering, demand response, asset management, and system reliability. Source: EEI </li> <li> Slide 3 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Uncertainties and obstacles Little consensus on definition or direction Lack of standards Uncertain performance expectations, benefits, and costs Limited investment capacity Uncertain regulatory treatment </li> <li> Slide 4 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Protection Automation Coordination Network Operations Optimization Dispersed Generation and Grid coordination Renewable energy Integration Rapid Growth in Overall Electricity Demand Growing awareness for Reliable and Quality Electricity supply Smart Grid Future Technology - the Driving Force Drivers of SMART GRID Demand Technology Increasing competition within Industry due to deregulation and restructuring Pressure on DISCOMS to increase energy efficiency and be self sufficient Regulatory Theft and Fraud Detection Demand Management and Volatility adjustment Meter based Billing rather than estimated billing Internal Characteristics of SMART GRID Smart Grid Prediction Adjustmen t Optimizatio n </li> <li> Slide 5 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Smart Grid Represents a Major Enterprise Transformation </li> <li> Slide 6 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. The Impact Is Broad and Pervasive Asset managementAsset management Meter to cashMeter to cash Field service and maintenanceField service and maintenance Leveraging opportunities to gain operational efficiency Customer serviceCustomer service Customer responseCustomer response Leveraging opportunities to gain operational efficiency Network operationsNetwork operations Generation capacity and planningGeneration capacity and planning Energy scheduling and dispatchEnergy scheduling and dispatch Enabling new capabilities for advanced power management Meter reading expense Preventable field labor accidents Back-office operating cost Revenue growth Meter reading expense Preventable field labor accidents Back-office operating cost Revenue growth Field customer service costs Non-collectible expense Customer service field labor Service order response time Field customer service costs Non-collectible expense Customer service field labor Service order response time Forecast accuracy Net billing Line loss revenue Fuel cost avoidance Forecast accuracy Net billing Line loss revenue Fuel cost avoidance Smart Grid Business Changes Major Processes Impacted Benefit Categories </li> <li> Slide 7 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. A Broader Approach Recognizes the Role and Importance of Data as a Transformation Driver Process Re-engineering Process optimization Quality and productivity Organization Workforce rationalization Skill development Resource progression Decision support Data Data Optimized operation Automation There is tremendous value potential in identifying ways in which data can transform the business.There is tremendous value potential in identifying ways in which data can transform the business. Data can be the source of new value as well as being the multiplier effect to leverage additional value from existing investments.Data can be the source of new value as well as being the multiplier effect to leverage additional value from existing investments. </li> <li> Slide 8 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Data Becomes a Key to Driving Value New and Additional Data Interval consumption Interval demand Meter status/error reporting Event completion notification Condition alert (i.e. tampering) Grid node status Distributed generation data Feeder status/monitoring data Power quality incidents T&amp;D line loss Grid voltage stability Optimizing the benefits of Smart Grid requires a data-driven transformation in addition to technology and process </li> <li> Slide 9 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Meter Data Management Managing a Complex Environment </li> <li> Slide 10 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Meter Data Management (MDM) Why it is critical for Smart Grid New meter technologies capture significantly more data. Utilities need a central repository for this data. MDM is the foundation on which many AMI and Smart Grid programs will be built, both as a technical prerequisite and as a foundation for improved business value. While meter data was once viewed as simply an input to the billing process, its strategic business value has grown considerably. It provides the data required for regulatory reporting compliance as well as key business metrics. MDM is a central component to enabling and managing security and information protection </li> <li> Slide 11 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Some key data management considerations Data Volume &amp; Management Data Collection &amp; Collation Legal Consultation and Privacy Concerns Incident and Breach Management Planning Leverage Data Audits and Reviews </li> <li> Slide 12 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. The Architecture of Smart Grid Creates a Paradigm Shift in the Role of Data Bidirectional, real-time communications Consolidated &amp; Integrated Applications Time sensitivity in milliseconds At Present Future </li> <li> Slide 13 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. How to Extract Value from Data Example Distribution Management Network Operation and Maintenance Schedule and DispatchEnergy ManagementNetwork Planning Grid operations have historically been limited by unidirectional communication devices and a high degree of manual involvement. Outage management is typically a reactive process based on trouble calls. A Smart grid with numerous data collection and control points will provide the data to enable advanced distribution and power management capabilities. 1. Identify Available Data 2. Assess Potential Value 3. Develop the Transformation Condition-based monitoring Feeder segmentation Distributed generation Plug-in electric vehicle (PHEV) Demand-side demand response Home area network Grid voltage Enable self-healing and increase distribution management automation Grid can proactively identify potential failure points and react to prevent outage Reduce outage rate of occurrence and impact Make outage management more proactive vs. reactive Increase grid management intelligence Automate sensors and control nodes to react to specific events Program outage alarms and notifications to automatically initiate repair crew work orders and customer communication Establish a distribution management system to operate grid Assess potential redundancies with other systems (i.e. Outage Management System (OMS) </li> <li> Slide 14 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Data Analytics - Life Cycle for a Power Distribution Utility Abnormal consumption report Areas of High Loss Report Consumption trends Report Business Analytics Key Concentration Areas Intelligent Solutions MIS and Reporting Data Point Optimization Demand Analysis Market Insights Dashboards Customer Data Analytics Load Data Analytics Billing Data Analytics Vendor Data Management BusinessDrivers toAchieveMDMS Grid Optimization Demand Management Revenue Protection Outage Management Business Benefits after MDMS Metered Data Management System MDMS Roadmap to MDMSRoadmap after MDMS </li> <li> Slide 15 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Advantages of Advance Analytics 14 Customer Information and Energy Use Automation / effort reduction Restoration improvements Revenue protection Some demand reduction Strategic Consumer Integration and Empowerment Consumer engagement Energy efficiency Incremental revenue Focus: Infrastructure and meter install Customer interaction Usage and outage analytics Meter to cash process connectivity Governance Focus: Network and asset management Advanced workflow Real-time data management and analytics Operating model integration Focus: Enhanced Business model Customer strategy and behaviors Third party relationships Innovation and collaboration at speed Grid Optimization Asset life optimization System operational efficiency Improved reliability Predictive maintenance Beyond the Meter Change: </li> <li> Slide 16 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Analytics Solution - Illustrative _ + Performance Sub-Metering Outage Management Active Load Control Revenue Protection Real time Decision Making Load Profile Market profile Customer profile Tariff profiling Theft Detection Peak clipping Load shifting Scheduling &amp; Settlement Demand Optimization Price &amp; Load Modeling Load Forecasting Integrated Voltage /VAR Control Usage Analysis Distribution Planning &amp; Analysis Grid Optimization Strategic Consumer Integration and Empowerment Customer Information and Energy Use Solutions Abnormal consumption report Areas of High Loss Report Consumption trends Report </li> <li> Slide 17 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. Risk Analytics Solution - Illustrative _ + Performance Last-Gasp, Power- Up Messages, Demand violations Abnormal power factors Transformer &amp; cable load and equipment load analysis Peak and Valley Analysis Baselines and Outlier Analysis Identifying tampered meters or zero readings Customers who are billed but never pay Customers billed on average or minimum Customers with same name and address Same customer number with different names and addresses Customers with no name and address Solutions Alarm and Notifications Transformer &amp; cable load and equipment load analysis Usage and Scenario Analysis Rate Analysis &amp; Load Factor Analysis Advanced switching Modeling Applications Utility Modeling Flexible Load building Modeling Reliability area footprint modeling Demand supply / demand response Modeling Energy mix Analysis Forecasting &amp; Energy Procurement Energy Accounting Carbon footprint Analysis Energy Balance Report </li> <li> Slide 18 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. MIS and Reporting Solution - Illustrative Continuous Monitoring and Vigilance Dashboard Near real time energy accounting Data Reconciliation Monitoring Area / Office wise monitoring Watching High Value Customers for fraud </li> <li> Slide 19 </li> <li> Thank You Presentation by Arindam Ghosh Associate Director Advisory KPMG DLF Corporate Park DLF City, Phase III Gurgaon 122002, India Mobile: +91 9650666868 Email: arindamghosh@kpmg.com </li> <li> Slide 20 </li> <li> 2010 KPMG, an Indian Partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved. The KPMG name, logo and "cutting through complexity" are registered trademarks or trademarks of KPMG International Cooperative ("KPMG International"). </li> </ul>

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