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1 Landis+Gyr’s Advanced Grid Analytics (AGA) enables the utility’s network operations, planning, asset management and customer service organizations to ensure efficient grid management. By leveraging data from advanced metering and other systems, utility professionals benefit from AGA functionality to improve reliability, enhance power quality, extend asset life, reduce technical and non-technical losses, minimize outages and integrate renewable resources onto the grid. By combining the power of data, the distribution network model and advanced physics-based algorithms, utilities can now have accurate and dynamic monitoring and actionable intelligence for improving network performance and grid reliability, reducing costs, meeting regulatory compliance and enhancing customer satisfaction. AGA features web-based, geospatial visualization for system-wide visibility. Powerful processing algorithms have been developed and proven in real-world scenarios over the past thirteen years. Each module can be deployed individually or as part of an enterprise solution. The benefits can be quickly achievable and easily accessible by deploying AGA within the utility’s own infrastructure, hosted in the cloud or delivered as a service offering. Utilities of any size can harness the power of AGA. HIGHLIGHTS: Optimize life and value of grid assets Improve reliability: SAIFI, SAIDI, CAIDI Maximize capital improvement benefits Manage renewables integration Reduce outages Optimize placement and grid technology investments Minimize losses Are you getting real, measurable value from your smart grid data? Harness the power of data, the distribution network model and advanced algorithms for improved grid performance and reliability Advanced Grid Analytics

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Landis+Gyr’s Advanced Grid Analytics (AGA) enables the utility’s network operations, planning, asset management and customer service organizations to ensure efficient grid management. By leveraging data from advanced metering and other systems, utility professionals benefit from AGA functionality to improve reliability, enhance power quality, extend asset life, reduce technical and non-technical losses, minimize outages and integrate renewable resources onto the grid.

By combining the power of data, the distribution network model and advanced physics-based algorithms, utilities can now have accurate and dynamic monitoring and actionable intelligence for improving network

performance and grid reliability, reducing costs, meeting regulatory compliance and enhancing customer satisfaction.

AGA features web-based, geospatial visualization for system-wide visibility. Powerful processing algorithms have been developed and proven in real-world scenarios over the past thirteen years. Each module can be deployed individually or as part of an enterprise solution. The benefits can be quickly achievable and easily accessible by deploying AGA within the utility’s own infrastructure, hosted in the cloud or delivered as a service offering. Utilities of any size can harness the power of AGA.

HIGHLIGHTS:

■ Optimize life and value of grid assets

■ Improve reliability: SAIFI, SAIDI, CAIDI

■ Maximize capital improvement benefits

■ Manage renewables integration

■ Reduce outages ■ Optimize placement and grid technology investments

■ Minimize losses

Are you getting real, measurable value from

your smart grid data?

Harness the power of data, the distribution network model and advanced algorithms for improved grid performance and reliability

Advanced Grid Analytics

2

Asset Loading Asset Loading provides system-wide visualization, asset health and performance analysis by using data from meters and GIS to geospatially and dynamically display the distribution network connectivity model. Load profiles of substations, feeders, feeder sections, underground cables, fuses, switches, DA equipment and distribution transformers are monitored and displayed geospatially. Areas of system overloading are highlighted for action to minimize outages due to equipment failure. The module helps size and plan for transformer or other asset upgrade programs, calculate transformer loss of life, prioritize locations for instrumentation and develop improved preventative maintenance strategies.

Voltage Visualization Voltage Visualization displays system-wide visualization of voltage performance over the network by using data from meters and GIS to geospatially and dynamically display the distribution network connectivity model. Voltage violation locations are identified via measured and calculated voltages. This module can be combined with the Voltage Monitoring module for a complete dynamic voltage management solution.

Revenue Protection and Energy Diversion Revenue Protection and Energy Diversion displays system-wide power theft and technical losses. The module uses data from meters and GIS to geospatially and dynamically display, identify and monitor the losses on the distribution network connectivity model. Power theft is detected via analysis of individual meter profiles and can be enhanced by incorporating additional sensor data, if available. Inactive meter consumption, zero consumption and missing load profile intervals to locate slow, stopped or spiking meters are identified.

Capacity Contribution Capacity Contribution utilizes meter data to locate, rank and analyze customers that significantly contribute to daily, monthly and yearly peaks. Identified customers may be priority targets for demand response or energy efficiency initiatives. Utilities can also use this information to determine strategic placement and dispatch of distributed resources for peak load reduction. Leveraging AMI assets for strategic planning of demand response and distributed energy resource programs ensures utilities maximize the value of their investment.

Fault Circuit Indicator (FCI) Optimization FCI Optimization uses the network connectivity model’s CAIDI historical data to determine and visually display system-wide and feeder level optimal FCI placement. The module identifies quantity and the most cost-effective FCI type to use for maximum CAIDI performance at a defined program cost point. Program cost-benefit analysis includes cash flow analysis and ROI. The module enables utilities to get the most reliability improvement with their available dollars and assists with the planning and justification of sensor program deployments.

Asset Loading Module

Voltage Visualization Module

Revenue Protection and Energy Diversion Module

Capacity Contribution Module

FCI Optimization Module

Modular, Flexible and Scalable Applications for the Utility Enterprise

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Volt/VAR Manager Module

Distributed Energy Resource (DER) Optimizer DER Optimizer combines meter and sensor data for use in planning and integrating distributed energy resources, while taking into account network safety, compliance, reliability and business economic objectives. The module examines the impact of sudden loss of DER generation on power flows, voltages and voltage flicker. It also looks at the impacts of DER on the distribution system at different penetration levels, including electric vehicles. The module determines the optimal amount of DER to integrate on the distribution system, as well as the maximum DER a feeder or substation can handle without adversely affecting power quality or reliability. In addition, optimal placement of battery storage analysis is provided.

Reliability Planner Reliability Planner incorporates OMS and GIS data for network outage visualization and analysis. It provides planning and upgrade recommendations to improve system reliability, enable targeted preventative maintenance and maximize capital improvement planning and budgeting processes. The module helps utilities strategically improve network reliability in a cost-effective manner as measured by such key performance indicators as SAIDI, SAIFI, cost per outage event, revenue lost per outage event and kW unserved. Various remedial actions including optimal placement of automated switches and conductor cost analysis are provided.

Voltage Monitoring Voltage Monitoring delivers a geospatial display of real-time voltages, leveraging bellwether meter readings (5–15 minute intervals) and power flow analysis of the distribution network. The module offers a complete system-wide voltage analysis that monitors and reports based on real-time network events – identifying areas where voltages violate utility and regulatory limits. The module also allows operators to monitor voltages during peak consumption. Additionally, the module uses historical voltage data as well as sag and swell events to recommend bellwether meters for each distribution circuit and then interfaces with AMI head-end systems to reconfigure meters as required.

AGA Electric Distribution Model The Advanced Grid Analytics Electric Distribution Model provides an up-to-date view of network conditions, using real-time inputs from line sensors, switches and meter data. By leveraging an adaptive bellwether set of meters, the Electric Distribution Model couples real-time inputs with a robust physics-based power flow analytics engine to create a complete view of the distribution system, while minimizing AMI network traffic. It is used to drive a variety of operational processes such as Volt/VAR, FLISR and Outage Management.

Volt/VAR Manager Volt/VAR Manager automates voltage regulation and control by utilizing the Advanced Grid Analytics Electric Distribution Model to validate and analyze the distribution system and make optimization decisions. Volt/VAR Manager optimizes circuit performance down to the customer level and responds dynamically to circuit changes. Volt/VAR Manager can be configured to meet various operational objective – including Conservation Voltage Reduction (CVR), Demand Voltage Reduction (DVR), distributed renewable stabilization, and power factor management for managing voltage profiles and system loss.

Voltage Monitoring Module

DER Optimizer Module

Reliability Planner Module

46.12.15

Phone: 678.258.1500 FAX: 678.258.1550

landisgyr.com

Leverage the Power of the Platform, People and Pathway

People Landis+Gyr’s professional services team offers a unique combination of power system engineers, subject matter experts, software and technology architects and integration specialists. By leveraging Landis+Gyr’s proven and best in class implementation methodology and standard-based adapters, utilities can start realizing benefits quickly.

Pathway Landis+Gyr provides various deployment options that are cost-effective, robust, scalable and meet service levels now and in the future. The solution can either be deployed at the utility’s data-center or hosted at Landis+Gyr’s cloud-based, secure and SSAE-16 compliant Network Operations Center.

■■ Dynamic Connectivity Model: Web-based, geospatial visualization of the electric distribution network and assets providing a single view of data and analysis for all users by role. Dynamic updates and automated integration to GIS systems and planning modeling tools such as CYMDIST, Synergi™ and other MultiSpeak® compliant system models.

■■ NoSQL Database: Scalable storage of structured and unstructured information with extremely fast processing and retrieval of data imported from multi-sources, while supporting map/reduce queries and analytics.

■■ Analytics Engine and Algorithms Library: Unique and patented engine powering the grid analytics application suite. It uses nonlinear optimization technology developed over 13 years, leverages the dynamic connectivity model to provide advanced analysis. The library of algorithms includes: Powerflow, Loss Minimization, DER Optimization, Switching Optimization, Revenue Protection, Volt/VAr and CVR, DA Placement, EV infrastructure, Reliability Optimization and Outage Detection

■■ Integration Layer: Pre-developed set of standards compliant adapters for off-the-shelf integration with utility data sources such as AMI, MDM, OMS, GIS, DMS, SCADA, Sensors, and CIS, minimizing the need for extensive interface development. It uses standards such as CIM, Multispeak, JMS, SOAP, DNP3 as well as other API’s.

Platform The grid analytics solution consists of a powerful enterprise platform and modular, web-based, user friendly modules. The platform enables utilities to leverage data integration, visualization and advanced algorithms for multiple analyses and benefits. Given the modular nature of the applications, as needs change or grow, the same platform and data can be utilized, leveraging economies of scale and eliminating data silos and the need to manage multiple vendor systems. Key platform components include:

Landis+Gyr’s Advanced Grid Analytics enables utilities to expedite achievement

of goals and maximize performance.

platform

people

pathway