DMS - Breakthrough Technology for the Smart Grid



Similar documents
For Utility Operations

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

How the distribution management system (DMS) is becoming a core function of the Smart Grid

ABB smart grid Intelligent business

ADMS(Advanced Distribution Management System ) in Smart Grid

Implementing Low-Cost Distribution Automation Programs

White Paper. Convergence of Information and Operation Technologies (IT & OT) to Build a Successful Smart Grid

Utilities the way we see it

AMI and DA Convergence: Enabling Energy Savings through Voltage Conservation

The Future of Grid Control: Smart Grid and Beyond John D. McDonald, P.E. Director Technical Strategy & Policy Development

GENe Software Suite. GENe-at-a-glance. GE Energy Digital Energy

Preparing for Distributed Energy Resources

On the Road to. Duke takes the road less traveled and arrives at a new level of distribution automation.

Distribution System Automation

Substation Automation and Smart Grid

2012 Smart Grid R&D Program Peer Review Meeting Real-Time Distribution Feeder Performance Monitoring, Advisory Control, and Health Management System

Sharing Software and Telecommunications Resources

INTELLIGENT DISTRIBUTION NETWORK ANALYSIS AND INFORMATION ARCHITECTURE DESIGN

Big Data Analytics Applications in Distribution Operations and Risk Assessment

Why Smart Water Networks Boost Efficiency

Siemens ENEAS solutions for substation automation and protection

Smart Grids. MIECF Conference April 2011

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

How the Convergence of IT and OT Enables Smart Grid Development

Future of Electric Distribution Dialogue

SOLUTION PAPER AMI AND BEYOND: HOW WIRELESS BROADBAND ENABLES THE SMART GRID TODAY AND TOMORROW

Acting on the Deluge of Newly Created Automation Data:

Oncor Focuses on End-to-End Information Flows

Big Data in Smart Grid. Guangyi Liu China Electric Power Research Institute

Next Generation Distribution Management Systems (DMS) and Distributed Energy Resource Management Systems (DERMS)

SICAM PAS - the Key to Success Power Automation compliant with IEC and your existing system

Agenda do Mini-Curso. Sérgio Yoshio Fujii. Ethan Boardman.

Enterprise Approach to OSIsoft PI System

Seattle City Light Strategic Technology Presentation. Presentation to City Light Review Panel September 1, 2010

Smart Grid Different Flavors for Different Tastes

SCADA Questions and Answers

DOE Wind Consortium Project. Wind Energy Research and Development. Jay Giri. IIT, Chicago July 20 th, Copyright ALSTOM Grid

Naperville Smart Grid Initiative

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

Il Progetto INTEGRIS. Risultati e nuove prospettive per lo sviluppo delle Smart Grid October 2nd 2013 Brescia

Market Growth and New Regulations Demand Network Modernization

Deep Dive on Microgrid Technologies

Security in the smart grid

Implementing the Smart Grid: Enterprise Information Integration

Project Management for Implementing the Smart Grid By Power System Engineering, Inc. Abstract PM Methodology Using a Repeatable Project Management

Enabling the SmartGrid through Cloud Computing

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.

Substation Automation Systems. Nicholas Honeth

Demand Response Management System Smart systems for Consumer engagement By Vikram Gandotra Siemens Smart Grid

CenterPoint Energy Robert B. Frazier Director of Electric Technology

M2M Technologies The future is upon us. Is this stuff secure?

Case Study Improving System Performance Using Distribution Network Automation

How To Manage Assets In Utilities

DIGITAL CONTROL SYSTEM PRODUCT SOLUTIONS

Is Your GIS Smart Grid Ready?

Monitoring Underground Power Networks

Field Force Operational Data Visualization What s So Smart About It?

The calm after the storm

Office of Electricity Delivery & Energy Reliability ANALYSIS AND REPORTING OF METRICS AND BENEFITS FOR ARRA SMART GRID PROJECTS

OPERATIONS CAPITAL. The Operations Capital program for the test years is divided into two categories:

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

A Changing Map. Four Decades of Service Restoration at Alabama Power. By G. Larry Clark

smart grid communications Management

The IBM Solution Architecture for Energy and Utilities Framework

PMCS. Integrated Energy Management Solution. Unlock the Full Potential of Power Networks Through Integration. Complete Solution. Informed Decisions

USING COMPLEX EVENT PROCESSING TO MANAGE PATTERNS IN DISTRIBUTION NETWORKS

Big Data and Advanced Analytics Technologies for the Smart Grid

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

Private Wireless Networks that Combine Technologies

PA PUC AERS & Metropolitan Edison Company Site Visit

Investor day. November 17, Energy business Michel Crochon Executive Vice President

Public Service Co. of New Mexico (PNM) - PV Plus Storage for Simultaneous Voltage Smoothing and Peak Shifting

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

MAKING THE METERING SMART - A TRANSFORMATION TOWARDS SMART CITIES

Update On Smart Grid Cyber Security

PREMIER SERVICES MAXIMIZE PERFORMANCE AND REDUCE RISK

Integrated management information in utilities

Empowering intelligent utility networks with visibility and control

TechAdvantage. Steps to Reducing Power Theft Overview: State of the Industry. Rick Schmidt Power System Engineering, Inc.

Industrial IT for Substation Automation & Protection

Basics in Energy Information (& Communication) Systems Summary Substation Automation

I. TODAY S UTILITY INFRASTRUCTURE vs. FUTURE USE CASES...1 II. MARKET & PLATFORM REQUIREMENTS...2

Power products and systems. Intelligent solutions for power distribution Zone concept

DISTRIBUTION RELIABILITY USING RECLOSERS AND SECTIONALISERS

Roadmap for Oracle Utilities Operational Solutions Session CON 7811

Generic strategy for CIM based systems integration for European distribution system operators

Physical Infrastructure Management Solutions

Trusting the Data: Analytics and Visualization. Copyr i ght 2014 O SIs oft, LLC.

IBM Solutions for the Digital Smart Grid

CONDIS. IT Service Management and CMDB

SmartGrid Interoperability Challenges at TXU Electric Delivery

SCADA Systems Automate Electrical Distribution

Billing & CRM as a Management tool for Utilities including SaaS. Dr. M.V. Krishna Rao

Highly Available Unified Communication Services with Microsoft Lync Server 2013 and Radware s Application Delivery Solution

Volt-VAr Management Software (V VMS) for smart grid distribution automation applications

Market Growth and New Regulations Demand Network Modernization

Smart Metering Initiative ADWEA Program

Leveraging the Industrial Internet of Things (IOT) to Optimize Renewable Energy

The electricity business

Utilization of Automatic Meter Management in Smart Grid Development

Transcription:

DMS - Breakthrough Technology for the Smart Grid The emerging smart grid is expected to address many of the current challenges in the electrical power industry. It is expected to make the electric grid more reliable, more resistant to attacks, and self healing, while at the same time reducing peak demand for electricity, optimizing networks, and facilitating greater participation from end-customers in electricity production and consumption. Taking advantage of the advancements in information technology and data communication capabilities, several utility automation vendors have developed new distribution SCADA and distribution management systems (DMS) to operate in the open distributed architecture environment of the future smart grid. This article discusses how the new DMS platforms fit into the distribution automation landscape. What is Distribution Automation (DA)? Distribution Automation entails real-time remote monitoring and control of distribution system assets. It also provides decision support tools and, in some cases, automated decision making to improve system performance. DA covers automation at the substation, feeder, and customer level. Key components of a typical DA system include distributed field sensors; remote controlled switches such as feeder switches, reclosers, or capacitor switches; the SCADA system; a communication system for remote data acquisition; and a suite of advanced DMS applications as decision support systems. What is Distribution Management Systems (DMS)? Over the years, utilities have deployed a greater number of sophisticated applications. Key utility automation vendors have responded to this trend by developing a suite of commonly used DA applications that can be relatively easily deployed and configured to meet the utility s needs. These applications run on a dedicated SCADA server that has come to be known as distribution management systems (DMS). What are Common DMS Applications? Several primary, high-value applications have been proven to deliver strong benefits in improving the reliability as well as the quality of power delivered to end customers. While some of these directly impact the operations of the distribution network, other secondary applications have proven to be beneficial to long-term distribution planning and maintenance groups within the utility. The following are primary, high-value distribution automation applications that can be implemented through a DMS suite. 1. Substation Automation: Monitoring and control of distribution substation equipment from a SCADA master forms the primary layer of DA. Modern protective relays provide exhaustive amounts of valuable data that can be acquired, stored, and used to monitor and control the electrical distribution network, while non-operational data can be collected and stored as historical data. Specialized DMS applications can then access these data extracts and convert them into actionable intelligence to improve distribution network performance. 2. Feeder Automation: Feeder automation forms an important part of DA. It can be implemented either as a self-contained local configuration by teaming a small number of switches/ reclosers or as a

centralized scheme controlled by a SCADA/DMS system. The local implementation is usually suitable for addressing problems within a small portion of the distribution system and involves distributed intelligence embedded within the switches. These self-contained switches communicate through peer-to-peer networks. The centralized schemes, implemented on SCADA/DMS platforms, are more elaborate and can control large portions of the distribution network, thereby delivering more advanced DA functionalities. 3. Feeder Peak Shaving: More utilities are discovering the immense benefits of demand management using volt/var technologies (voltage regulator control or capacitor switching). In many instances, this can delay construction of peaking units that would otherwise require a significant capital expenditure. 4. Power Quality Management: When it comes to power quality, the stakes are always high. With more of today s consumers using sensitive electronic equipment, there is greater demand for high quality power. Voltage sags, spikes, and poor harmonic control are some of the most pressing problems that require immediate attention. While SCADA systems are capable of acquiring vast amounts of senor data on distribution feeders, DMS applications can then be deployed to analyze the data and provide insight into the sources which can then be corrected. With the primary infrastructure in place as described above, many secondary applications can be deployed with incremental costs, further enhancing the value of the SCADA/DMS infrastructure. The following are secondary applications, some of which are widely used: 1) distribution system load flow analysis, 2) reliability and contingency analysis, 3) Volt/ VAR control of distribution system, 4) relay protection coordination, 5) automated fault location and restoration, 6) load management under system emergencies, 7) fault diagnosis and analysis, 8) outage management coordination, 9) power quality analysis, and 10) dispatcher training simulation.

How do the New DMS Applications Compare to Historical DA Applications? The table below illustrates functionality of various applications delivered over historical, present, and new DMS systems. Functionality is either available (Yes), not available (No), available on a limited basis (Limited), or only available as a custom feature (Custom). In the new DA landscape (the right-hand column), you will notice that all functionality becomes available. Application Historical DA Present DA DA for Smart Grid (DMS based) Basic Monitoring and Control Yes Yes Yes Monitor Equipment on Feeder Limited Yes Yes Network Switching Management/ Analysis/ Optimization No Limited Yes Relay Protection Coordination Custom Custom Yes Integrated Volt VAR Control Custom Custom Yes Direct Customer Load Control Yes Yes Yes Interface with AMI/ OMS/ GIS Systems No Custom Yes Distribution System Real-time Analysis Tools No Limited Yes Multi-level Feeder Reconfiguration Limited Limited Yes Emergency System Restoration Support Limited Yes Yes Dispatcher Training and Simulation No Yes Yes Power Quality Assessments No Limited Yes Demand Response Analysis No No Yes Load Forecasting Custom Custom Yes Predictive Equipment Maintenance/ Asset Management No Limited Yes Source: Power System Engineering, Inc. www.powersystem.org In summary, the chart above reflects that the new DMS-based suites provide extensive functionality compared to some of the older DA product offerings. While the new DMS-based suites do come with a high software cost, the testing and integrations functionality is more advanced out of the box. This is compared to custom approaches, which require the utility to provide the integration, testing, and ongoing maintenance of many of the existing DA product lines (which can significantly increase lifecycle costs).

How does DMS Fit into the Smart Grid Architecture? The diagram below illustrates where DMS fits into the overall smart grid architecture. Enterprise ERP GIS CIS BI Data Center Enterprise Integration Bus Control Center DMS OMS DSCADA Mission Critical Wide Area Communications Network Control System Integration Bus Field Devices AMI Historian Voltage Regulators Relays and Field Sensors Meters Power System Engineering, Inc.: www.powersystem.org The distribution SCADA system in the utility control center acquires and manages data in real time from several field devices and sensors on the distribution network. The real-time integration bus provides for data exchange between the components of SCADA, DMS, and other systems within a utility control center. Recognizing the importance of streamlined interoperability between disparate systems and technologies, the Gridwise Architectural Council has introduced comprehensive interoperability guidelines for utilities to follow as they start building their smart grids. These guidelines (summarized below) take into consideration various types of interoperability contexts and their associated security needs. Organizational Interoperability: Defines how the individual sub systems (such as CIS, ERP etc) will utilize a standards-based information exchange method with external systems such as business networks, market operators, links to external utilities, RTO s, and other regulatory compliance requirements. Information Interoperability: Defines requirements for mission-critical data and information exchange within a utility control center required to operate the electrical network. Technical Interoperability: Defines the integration of remote field devices with the distribution SCADA platform at the utility control center. Standards-based protocols such as DNP 3.0 and the

IEC 61850 provide adequate interoperability with recent enhancements to include advanced security features. Key DMS Products and a Sampling of Vendors The table below lists some of the leading DMS vendors and their software tools for integrating both analytical and control features. The technologies consist of the end equipment (capacitor control, recloser, voltage regulator), communication system, centralized SCADA system, and application software. A description of the platform and software features is also included. Vendor, Product Platform Software Features Areva, E-Terra Distribution SCADA www.areva-td.com The base system for all the e-terra distribution solutions is Network View, a Webdeployed Environment. OSI, Open DNA www.osii.com Televent, DMS www.telvent.com ABB, Network Manager DMS www.abb.com Siemens, Spectrum Power CC Distribution Management System www.energy.siemens.com Network application, integrated with OSI SCADA platform. Network application, integrated with OASyS SCADA. Network Application integrated with Network Manager SCADA PC network platform, open interface with Microsoft or Oracle databases. Supports a variety of protocols.

DMS: Backbone and Last-mile Communication Requirements DMS and traditional DA require an extensive backhaul communications network. DMS/DA systems involve linking devices outside substations located on feeders. Distribution poles can provide suitable methods for mounting radio antennas, with the goal of communicating from these sites to a central control center. Most extensive DA/DMS systems will route the last-mile media to the nearest backbone point of presence, which could be a substation, tower site, office location, etc. The last-mile infrastructure serves as the foundation that connects end equipment to an integrated communications system (a crucial step to successful DA deployment), and should thus be included in the overall DMS strategic plan. For utilities that have implemented an AMI system with a two-way fixed communications network, this could possibly be shared for the DA/DMS applications. Care should be taken to leverage utility communications infrastructure for both present and future applications. Electric distribution utilities experience communications challenges due to large geographic territories, the need for extremely reliable communications (especially at the most inopportune times such as during and after major storms/disasters), and idiosyncratic challenges based on local terrain and other factors such as frequency availability. Many utilities are able to justify a dynamic communications infrastructure (and associated process improvements) because they are able to spread the communication capital expenditure across multiple applications. Similarly, utilities may be able to reduce overall recurring communications costs by combining multiple applications on the same communications medium. Conclusions Significant reliability improvements, efficiencies, and costs savings can be gained with a properly deployed DMS system. Designing a technology roadmap toward the future smart grid is the first step. Developing a business case for various applications would reveal the order of most beneficial applications, which could then guide the implementation schedule. For many utilities, the transition to the smart grid can be an exciting journey, involving selecting several smart technologies and pooling innovative ideas, resulting in a single integrated smart system. Once implemented, the benefits of the smart grid could far exceed our expectations. Contact Information: Jim Weikert at Power System Engineering, Inc. (PSE), an automation, integration, and communications professional services firm. You can contact Mr. Weikert for work on projects involving SCADA, substation automation, DA, DMS, and communication at weikertj@powersystem.org, or 608-268-3556; more information is available at: www.powersystem.org.