AMI to SmartGrid “DATA” October 20, 2011 John A Sotak – National Technical Sales Manager - Sensus

Smart Grid Communication Data Network Sources EPRI 2

Transformation of Data Producing Products SmartGrid Data Producers (Real-time) Meter Reads – hourly / 15 minute OMS systems – real time Work order mgmt systems – real time Billing GIS SCADA – Real-time Distributed Energy storage devices Distributed Power Generators Flexible demand response programs Distribution automation (pro-active) FCI Relays Sub-stations Transformer Price signals (Real-time) Customer info & notifications (Real-time) PHEV charging criteria Common Data Producers Meter Reads - Monthly OMS systems - reactive Work order management systems - reactive Billing GIS SCADA – Real-time

Impact of Data Producers What makes a smart grid SMART is precisely what causes so much difficulty: DATA, DATA, DATA !!! Smart grid data volumes can be 3,000x what we are used to handling It is far more than just meter data - many new smart devices and data types Utilities need new tools, architectures, processes to manage smart grid data

SmartGrid Data Sources Meter Usage Data: data representing condition or behavior of assets. Including: total usage, average demand, peak demand, TOU, peak demands. Additionally; voltages, power flows, power factor, & power quality data Operational Data: electrical behavior of the grid data; voltage & current phasors, real & reactive power flow, demand response capacity, power flows, real time forecasting of the operational data

SmartGrid Data Sources Event Message Data: asynchronous event messages from grid devices; outage & restoration messages, fault circuit messages, non-standard event notice messages. Non-Operational Data: conditional behavior of grid assets; power quality & reliability data; asset stressor data; utilization data; additional work asset type of non-direct data. Meta-Data: “KEY INTERPRETATION DATA”; grid connectivity, network addresses & groups, calibration constants, normalization factors, network parameters & protocols.

Critical Comms Criteria: Latency NOT Bandwidth High LATENCY Business Repository data Business Intelligence Dashboard & reports Days - Months Enterprise Operations Historical data Transactional Analytics Reporting systems & processes Minutes - days Op/Non-Op data Real-time Analytics Visualization systems & processes Sec. – sub minute SmartGrid Data Producers Business Intelligence Protection & Control Systems Milli-sub seconds Low

SmartGrid Data Latency Examples

Apps/Svcs Delivery System Solving the Massive DATA Apps/Svcs Delivery System Application Based Risk Reward 3 CSFs Usability Unified DATA Warehousing DATA Everywhere!

Solving the Massive Data Requirements Matching data acquisition infrastructure to required outcomes Number, kind, and placement of data measurement devices Communication networks and data collection engines Learning to apply new tools, standards, and architectures to manage grid data at scale New open standards for interoperability Distributed architectures New analytics tools Transforming business processes to take advantage of smart grid technology

Processing Tools for the Data: Complex Event Based & Event Stream Based SmartGrid devices and systems increasingly generate asynchronous event messages Such event messages tend to come in bursts and floods when something (usually bad) is happening on the grid Normal operations also generate event message streams Processing event streams requires a different approach Standard approaches use dynamic queries against (more or less) static data New approach continually runs static queries against dynamic data streams Two forms of Platform Based Processing: ESP and CEP ESP – Event Stream Processing – single stream CEP – Complex Event Processing – multiple streams Commercial platforms exist for implementation: CEP engines and development tools; CEP rule bases support other developed business processes (Look at the telecom, stock market, or Homeland Security)

Complex Event Processing Use Cases Telecommunications & Services Customer Centric Utilities Manage your data before it reaches the databases Protect your core business processes from the “data tsunami” Financial Services Homeland Security Low Latency Processing Security and Detection

Best Practices: Pre-Deployment Planning Pre-deployment Analytics ensure accurate Scenario Planning, turning terabits of Meaningful Metadata into useful tools Economic Modeling Business Modeling Measurable outputs Scalability Validation Rate Case Rationalization Distributed real-time analysis Actionable business intelligence Network optimized data-flows Organic analytic processes

Smart Grid Data Management Tips Look at the entire SmartGrid data, not just AMI. Recognize smart grid data volume and classes. Link business process transformation and SmartGrid designs. Look to other tools like “CEP” to handle new classes of data.

Item to be Aware of: Don’t underestimate the data associated with AMI and SmartGrid Producers Data ownership. Data usage is becoming more critical. Data accuracy and quality increases as automation increases. Asynchronous Data is increasing. Data Volume – More is not always better (be aware of latency vs volume). Protect your business logic What filtering, correlation, aggregation can be done up front? What events are critical, can be ignored, or can be processed later? Map your architecture to scale Ensure high availability Understand the impact of maximum throughput Monitor and measure system performance Prototype and tune Simulation, record-playback, what-if scenarios

DATA, DATA, DATA!!! “Any intelligent fool can make things bigger and more complex... It takes a touch of genius - and a lot of courage to move in the opposite direction”. Albert Einstein

Questions