How does a multi-purpose. network compare to load. management alternatives?

Similar documents
AMI and DA Convergence: Benefits of Growing Your Smart Grid Infrastructure with a Multi Technology Approach

WELCOME. Landis+Gyr Technical Training Catalog

AMI and DA Convergence: Enabling Energy Savings through Voltage Conservation

End Point Devices to be Deployed for Each. AC Independence

Corinex BPL in Smart Meter Infrastructure White Paper Series

future data and infrastructure

Network Communications System. Redefining Intelligent Utility Communications

Smart Metering and RF Mesh Networks for Communities

Cyber Infrastructure for the Smart Grid

Testing Intelligent Device Communications in a Distributed System

Enabling the SmartGrid through Cloud Computing

Building Customer Programs Through AMI and Effective Data Management

Technologies Supporting Smart Meter Networks

the amount of data will grow. It is projected by the industry that utilities will go from moving and managing 7 terabytes of data to 800 terabytes.

The Data Management Challenge: Making Extremely Large Amounts of Data Useful and Actionable

Improving Network Uptime

ComEd Improves Reliability and Efficiency with a Single Network for Multiple Smart Grid Services

The NES Smart Metering System. The World s Most Advanced Metering System Solution for the Smart Grid

The Smart Energy Pricing Evolution at BGE

Smart Metering Initiative ADWEA Program

Jim Sheppard, Director of Business Processes CenterPoint Energy, Texas, USA

Radio Frequency Strategy in an AMI Deployment. Larry Eggleston Director, Product Marketing. Michael Schleich Director, Research and Development

Preparing for Distributed Energy Resources

Wireless Technologies for the 450 MHz band

UL s Perspective on IP Signaling Larry Shudak Principal Engineer Signaling and Security Control Equipment Underwriters Laboratories Inc.

Could your utility improve efficiency and performance with third-party services?

Case study: Real Time Decision Making with Smart Data Analytics. Thomas Doggett Co-founder & Chief Marketing Officer Calico Energy

Firm Uses Internet Service Bus to Enable Smart Grid for Dynamic Energy Savings

Site2Site VPN Optimization Solutions

App coverage. ericsson White paper Uen Rev B August 2015

Mesh VPN Link Sharing (MVLS) Solutions

Is backhaul the weak link in your LTE network? Network assurance strategies for LTE backhaul infrastructure

Technology White Paper Capacity Constrained Smart Grid Design

Demand Response in the Pacific Northwest

Smart Metering System for Smart Communities

Deploy WiFi Quickly and Easily

Future-Proofing Cable Networks: DOCSIS 3.0 and Provisioning

Best Practices for Creating Your Smart Grid Network Model. By John Dirkman, P.E.

AMI Overview. Craig Williamson, Energy Insights. February 26, 2008 AEIC Workshop, San Antonio, TX

SmartGrid Interoperability Challenges at TXU Electric Delivery

Unlocking the Full Value of Your Meter Data

The topic of this presentation is comparing cellular with other communication technologies. The focus is on Smart Grid applications.

& benefits. Indian context

Advanced Distribution Grid Management for Smart Cities

Global Headquarters: 5 Speen Street Framingham, MA USA P F

Easily Connect, Control, Manage, and Monitor All of Your Devices with Nivis Cloud NOC

A NIMS Smart Practice

Making the Case for Satellite: Ensuring Business Continuity and Beyond. July 2008

NetVision. NetVision: Smart Energy Smart Grids and Smart Meters - Towards Smarter Energy Management. Solution Datasheet

MAKING THE METERING SMART - A TRANSFORMATION TOWARDS SMART CITIES

Implementing Low-Cost Distribution Automation Programs

Security MWC Nokia Solutions and Networks. All rights reserved.

Smart buildings in smart grids KNX City. Rafael Marculescu May 2013

alcatel-lucent converged network solution The cost-effective, application fluent approach to network convergence

LTE Solution and Requirements for Smart Grids

Cisco Outdoor Wireless Network Serves Up Automatic Meter Reading

Enabling Modern Telecommunications Services via Internet Protocol and Satellite Technology Presented to PTC'04, Honolulu, Hawaii, USA

WIRELESS BROADBAND SOLUTIONS FOR CABLE OPERATORS

CenterPoint Energy Robert B. Frazier Director of Electric Technology

Transforming industries: energy and utilities. How the Internet of Things will transform the utilities industry

white paper Motorola s Wireless network Indoor/Outdoor Solution

Grid IQ. Solutions as a Service. GE Energy Digital Energy. Why Solutions as a Service? Subscription based integrated Smart Grid solutions

Wireless Technologies in Industrial Markets

Naperville Smart Grid Initiative

BUILDING A SMART GRID ONE SMART HOME AT A TIME

Defining the Smart Grid WAN

Unifying Smart Grid Communications using SIP

Empowering intelligent utility networks with visibility and control

Smart Grid Business Case Analysis. Rochester Public Utilities

Frequently Asked Questions

The Internet of ANYthing

Top Six Considerations

Power & Environmental Monitoring

Circuit Protection is Key in Maintaining Growth for The Internet of Things

DataSheet. A complete view of the customer. What is Accanto s icem?

Why Migrate to the Cisco Unified Wireless Network?

LoRaWAN. What is it? A technical overview of LoRa and LoRaWAN. Technical Marketing Workgroup 1.0

This document describes how the Meraki Cloud Controller system enables the construction of large-scale, cost-effective wireless networks.

Motorola Wireless Broadband. Point-to-Multipoint (PMP) Access Network Solutions

Preparing for the Future: How Asset Management Will Evolve in the Age of the Smart Grid

RAN Sharing Solutions

Environmental Monitoring: Guide to Selecting Wireless Communication Solutions

Applying Mesh Networking to Wireless Lighting Control

A Virtual Power Plant to balance wind energy - A Canadian Smart Grid Project. Number of customers

Supporting Municipal Business Models with Cisco Outdoor Wireless Solutions

NIST Coordination and Acceleration of Smart Grid Standards. Tom Nelson National Institute of Standards and Technology 8 December, 2010

Transcription:

White Paper Advanced Load Management: Challenges and Solutions How does a multi-purpose network compare to load management alternatives? Mikko Niemi Senior Product Manager Landis+Gyr Clark Pierce Vice President/General Manager - Advanced Load Management Landis+Gyr Future. Ready. SM May 2015

U.S. utilities have made significant investments in demand response benefits programs and continue to value demand response Demand response has been an energysaving strategy used by utilities for decades. U.S. utilities have made significant investments in demand response programs and continue to value demand response both for monetary savings and energy conservation, as well as managing and balancing system loads. What s more, according to an Energy Research Council survey of middle-market companies, two thirds (66%) of survey respondents said they were extremely or very interested in services that reduce energy consumption and costs. 1 First generation load management technology uses paging networks or powerline communications for direct load control of air conditioners and other high-energy appliances during peak conditions. While these technologies provide a means to reduce energy consumption, the limitations have always been evident. Because they are primarily one-way systems, there is no confirmation that the load control device received the signal and operated successfully. In this scenario, the utility must often analyze peak power demand changes by substation to confirm if load reduction targets are being met. Many direct load control (DLC) systems put in place in the late 1970s remain in use. In fact, according to recent data from the Federal Energy Regulatory Commission (FERC), nearly all DLC programs in the U.S. providing more than 8 GW of peak capacity continue to run on one-way paging networks. 2 2

New Requirements for Advanced Load Management recent advanced load management initiatives have evolved into strategic, real-time operational resources for a wide range of new commercial applications While basic load management programs are designed to reduce peak power costs, maintain system reliability and prevent outages, recent advanced load management initiatives have evolved into strategic, real-time operational resources for a wide range of new commercial applications, circuit-level management and other advanced grid management functions requiring greater levels of data and feedback. As a result, any enabling technology applied to effective load management programs must meet specific requirements: n Two-way communication. Utilities need a robust two-way near-realtime communication with DLC devices to ensure program effectiveness. n Near-real-time visibility of available load. Operators need near-real-time load information to verify how much load can be shed at any time. With some applications, such as virtual peaking and circuit-level load control, operators need earlier insight into whether or not the load shed event actually occurred. n Ability to communicate with multiple devices. Beyond residential load switches, there is a need to communicate with a wide variety of devices on the network including programmable thermostats and commercial switches. n Head-end integration with utility systems. A future-ready load management platform must seamlessly integrate and share data with other enterprise applications and work with multiple technologies. n System availability. An effective load management system must execute commands and receive confirmations quickly and reliably. n Reliability. A demand response system must have the bandwidth capabilities needed to carry more information to more devices, and execute complex schedules in short time periods. n Use cases. Any technology chosen for a load management system should be proven for a variety of use cases. 3

Advanced Load Management Communication Options A utility seeking to transition from a one-way load management system to two-way communications has a number of options: n Advanced metering infrastructure (AMI) architecture for automated, two-way RF communication between a smart meter with an IP address and the utility n Cellular networks designed for mobile data communications are adapted for load management n Broadband accessing an Internet connection at the premise for load management communications As a solution to meet a utility s demand response needs, each technology has strengths and weaknesses. This table compares performance of each solution for the major functionalities required for a demand response system. FUNCTION AMI PAGING CELLULAR Wi-Fi Communication 2-way 1-way 2-way 2-way Utility-owned communication network YES YES NO NO Device price $$ $ $$ $$ Operational costs NONE NONE Cellular subscription NONE Network availability Always on Always on Always on Depends on customer Near real-time view to available power YES NO YES YES Reliability Load control messages have predefined higher priority No feedback loop (impossible to determine whether devices received message) Data traffic always lower priority No control over data packet priority (data traffic managed by ISP) Bandwidth Max 115 kb/s Only couple kb/s Depends on network (2G <50kb/s; 3G <1Mb/s) Depends on customer subscription, typically several Mb/s Typical command travel time 5-25 seconds Up to 30 seconds Depends on network (2G/3G/4G typically 5-20 seconds) 5-20 seconds Data security/privacy YES, end to end NO YES, cellular data is encrypted YES, if turned on by customer Message broadcast YES YES NO NO Message prioritization for load management YES NO NO NO 4

White Paper Landis+Gyr Effectiveness of a Multi-purpose AMI Network Since its introduction, AMI technology has offered two-way functionality for reading metering data, performing service connects and disconnects, and assisting with outage management delivering significant operations savings for utilities. Today, utilities are leveraging AMI networks for an even wider range of uses, including distribution automation, voltage management and direct load control. are latency and bandwidth. It must communicate reliably and effectively in short time windows and transmit and receive data from a large-scale system while still performing other tasks. While some industry experts contend that an effective load management program demands a dedicated network, multipurpose AMI networks meet and exceed the requirements for future-ready load management programs. The two hurdles any load management technology must overcome to be viable In fact, as enabling technologies for demand response programs, nextgeneration multipurpose AMI networks offer more advantages than other load control technologies. For example, the ability to broadcast load control commands greatly reduces latency and differentiates an AMI network from cellular and broadband technologies. AMI networks provide the ability to prioritize load management messages over other AMI networks provide the ability to prioritize load management messages over other traffic, which is not possible with cellular or broadband Internet. Load management dashboard provides continuously updated information on system performance. 5 traffic, which is not possible with cellular or broadband Internet. In fact, data traffic on cellular networks has the lowest priority. With broadband Internet, utility traffic is treated like any other packets in the network. Modern AMI networks are used for many applications beyond load management, making them more cost-effective than the piecemeal communications approaches of the past. AMI networks communicate through a self-healing mesh architecture for built-in reliability. Additionally, the network can be enabled for advanced end-to-end security, meeting and exceeding even the strictest data privacy requirements. And unlike cellular, additional devices can be added without incurring new monthly data fees. Finally, utility staff are not faced with troubleshooting outside networks, as with consumer Wi-Fi connections.

AMI Use Cases The Gridstream network from Landis+Gyr is currently the primary communication method in a variety of load management scenarios. Following are a few examples of Gridstream network performance in a variety of applications. 1 USE CASE APPLICATION: CIRCUIT-LEVEL DEMAND RESPONSE DEMAND RESPONSE REQUIREMENT: COMMUNICATE WITH MULTIPLE DEVICES Every year, Colorado Springs Utilities, a community-owned utility in the Pikes Peak region of Colorado, identifies substations or circuits that are nearing or exceeding the design guide capacity of the utility s distribution system. In early 2014, the utility deployed 500 smart thermostats behind a substation with a history of overloading at peak times. These devices communicate via push methodology over the Gridstream RF AMI network, each one sending a read back to the system every five minutes, with a total of 228 reads per day. The system is designed so that each device is assigned a time slot for its message, with the entire device population randomized over a five-minute time window. This ensures messages are not all sent at the same time and the network is not flooded. In addition, the five-minute read and command from system to device fits into a single AMI network packet size so that the network can continue to process load management and other message transmission. In the summer of 2014, Colorado Springs ran 14 conservation events, most of which used point-to-point messaging from the system to the thermostats. At the beginning of each event, a start command was sent to each participating device, ranging from a total of 150 to 520 devices spread over a specific geographic area. Broadcasting methodology used by the RF AMI network enables the utility to reduce command send time and ensure a high success rate. Throughout the test, there was no disruption to the performance of meters using the same network. Mobile applications engage consumers in program. 6

2 Cornhusker USE CASE APPLICATION: MANAGING COMMERCIAL LOADS DEMAND RESPONSE REQUIREMENT: IRRIGATION PUMP EFFICIENCY PROGRAM PPD is a not-for profit electric distribution system serving rural areas in Nebraska. In these areas, irrigation pumps are the major contributors to system peaks. To ensure low-cost energy for customers and to avoid system peaks, the utility creates conservation events for irrigation pumps scheduled in groups each day; significant penalties are imposed on pumps that fail to keep their system load under an assigned threshold. Because each irrigation pump is equal to as many as 40 residential homes, it is critical that the start command for each conservation event reach the device on a timely basis and the utility knows whether any controllers are nonresponsive. The two-way nature of the Gridstream AMI network makes these communications possible. 3 USE CASE APPLICATION: LATENCY TEST DEMAND RESPONSE REQUIREMENT: SPEED/LATENCY Baldwin EMC, a member-owned cooperative supplying electricity to more than 80,000 members in southwestern Alabama, recently conducted a test of its message success rate and latency as part of their advanced load management system assessment. The tests, which included more than 9,000 messages to 150 thermostats and load control switches operating over the Gridstream RF network resulted in a 99.85% command success rate. There were no RF interference-related or latency issues and messages were propagated to devices in 5 to 25 seconds. When designed with utility requirements in mind, the RF AMI mesh network can see improved performance from the additional load management devices sharing the network. In areas with only a few endpoints, the additional radios can provide new paths for messages, thus strengthening the network. If an area becomes overly populated by load management devices, new network infrastructure can easily be added to increase the throughput. 7

Conclusion Managing peak energy consumption has never been more critical. As consumption continues to outpace new generation resources, and new loads such as electric vehicles are introduced, load management has become an effective way to balance the needs of consumers and the costs associated with new generation. Furthermore, even generation-rich utilities can defer infrastructure resource investments by using load management to protect peaking assets. To realize the full potential of twoway communications for their load management programs, it is important for utilities to work with experts who can implement a solution that meets specific objectives and solves issues related to territory, coverages and demographics. Landis+Gyr s Gridstream RF self-healing mesh network technology delivers the interoperability and crossfunctional capabilities necessary for today s smart grid networks. Gridstream enables demand response by delivering the information and automation necessary for cost-effective and reliable peak power adjustments and overall load management. With Gridstream, utilities are able to monitor and adjust system load from the substation to the consumer, and receive near real-time confirmation that adjustments have been made, ensuring energy savings and protecting power quality. 1 Best practices: demand response. Energy Research Council, April 2013. http://energyresearchcouncil.com/bestpractices-demand-response.html 2 Not your grandfather s load control: helping utilities maximize demand response. Electric Light and Power, July 3, 2014. http://www.elp.com/articles/electric-light-and-power-newsletter/articles/2014/july/not-your-grandfather-s-loadcontrol-helping-utilities-maximize-demand-response.html 8 Manage energy better with unique solutions from industry experts. Contact Landis+Gyr at futureready@landisgyr.com