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



Similar documents
Demand Response Management System ABB Smart Grid solution for demand response programs, distributed energy management and commercial operations

Strategic Microgrid Development for Maximum Value. Allen Freifeld SVP, Law & Public Policy Viridity Energy

SMART ENERGY SMART GRID. More than 140 Utilities companies worldwide make use of Indra Solutions. indracompany.com

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

Smart Energy Consumption and the Smart Grid

Smart City & Internet of Things

Demand Response in the Pacific Northwest

Enabling the SmartGrid through Cloud Computing

Con Edison Demonstration Project DE-OE Customer Sited Resource Management Tools

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

ADMS(Advanced Distribution Management System ) in Smart Grid

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

Advanced Data Management and Analytics for Automated Demand Response (ADR) based on NoSQL

Integration of Electric Vehicles National Town Meeting on Demand Response + Smart Grid May 28, 2015

More MDM Choices: A Hosted MDMS

Transactive Energy. A Sustainable Business and Regulatory Model for Electricity. Arizona Corporation Commission

The Smart Grid in 2010

System stability through cloud-enabled energy automation An essential building block for the digitalization of distribution networks

Digital Metering: a key enabling factor to foster RES development

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

Utility Analytics, Challenges & Solutions. Session Three September 24, 2014

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

Energy in the Wholesale Market December 5, :30 p.m. to 3:30 p.m. Irving, Texas Robert Burke, Principal Analyst ISO New England

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

Draft for comment - OpenADR 2.0 Demand Response Program Guide

ALSTOM Energy Management Business. Challenges related to Smart Energy Eco Systems

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

Implementing the Smart Grid: Enterprise Information Integration

Enabling 24/7 Automated Demand Response and the Smart Grid using Dynamic Forward Price Offers

Redefining MDM for a Smart Grid Enabled

Scroll. An MDM (Metering Data Management) platform

Securing Smart Grid Implementation: Case study using IBM WebSphere DataPower Appliance

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

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

Smart Grid Business Case Analysis. Rochester Public Utilities

Demand Response in Capacity and Electricity Markets: What Role Can and Should It Play?

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

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

Achieving high performance with smart meter data management systems. A leading practice approach for utilities

emeter- MDM General Overwiew April 19 th, CEER Workshop on Meter Data Management Alicia Carrasco, Regulatory Director

2016 Consumer Symposium. Distributed Generation: The Next Wave in Consumer Engagement

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

How To Improve Your Energy Efficiency

Energy Efficiency and Demand Response Programs in the United States

The State of the Electrical Grid in Washington State. Michael Pesin, PMP, P.E. Seattle City Light

Industry Data Model Solution for Smart Grid Data Management Challenges

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

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

Smart Grid - Big Data visualized in GIS

APPENDIX E ARCHITECTURE COMPONENT/ACTOR DESCRIPTIONS

Risk Management, Equipment Protection, Monitoring and Incidence Response, Policy/Planning, and Access/Audit

Virtual Power Plant solution for energy suppliers. Immediate, reliable access to distributed energy resources

Utilities the way we see it

Title of presentation

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

OpenADR 2.0 Demand Response Program Implementation Guide

Overview of Tallahassee s Smart Grid Initiative

CenterPoint Energy Robert B. Frazier Director of Electric Technology

METER DATA MANAGEMENT FOR THE SMARTER GRID AND FUTURE ELECTRONIC ENERGY MARKETPLACES

Smart Energy for Texas Consumers

MAKING THE METERING SMART - A TRANSFORMATION TOWARDS SMART CITIES

Preparing for Distributed Energy Resources

Naperville Smart Grid Initiative

Managing Electrical Demand through Difficult Periods: California s Experience with Demand Response

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

Tender offer to acquire. June 1, 2011

Acting on the Deluge of Newly Created Automation Data:

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

The Smart Energy Pricing Evolution at BGE

The smart grid and the promise of demand-side management

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

& benefits. Indian context

Using Demand Response Programs to Benefit the. PtikJ Patrick J. Oshie, Ohi Commissioner Washington Utilities & Transportation Commission

Smart Metering for Automatic Demand Response

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

Network Digitalisation Enel Point of View

ARRA Grant Case Studies SMUD s Smart Grid Program

Smart Grid Overview How the smart grid will give customers the tools to create the new future for electricity use.

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

SMART GRID Roadmap and Architecture

Integrating the customer experience through unifying software - The Microsoft Vision

Seize the benefits of green energy and the smart grid

Energy Storage Systems. New solutions for a new energy environment

How To Manage Assets In Utilities

Enterprise Approach to OSIsoft PI System

Digital Transformation in the electricity system

Ubiquitous Computing in Business Processes Part V

APS Solar Partner Program

New Approaches in Automating and Optimizing Demand Response to Solve Peak Load Management Problems

Transcription:

Demand Response Demand Response Management System Smart systems for Consumer engagement By Vikram Gandotra Siemens Smart Grid siemens.com/answers

The Siemens Smart Grid Suite DRMS part of Grid Application GENERATION TRANSMISSION RAIL ELECTRIFICATION DISTRIBUTION CONSUMPTION BIG DATA ANALYTICS, IT INTEGRATION GRID AND ENTERPRISE IT GRID CONTROL GRID APPLICATION COMMUNICATION & AUTOMATION FIELD DEVICES SENSORS AND PROTECTION AUTOMATION HMI PROTECTION SENSORS POWER QUALITY COMMUNICATION SMART METERS Service & End-to-end Security Primary Equipment Page 2

Demand Response General Definitions of Demand Response FERC Federal Energy Regulation Commission Changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized. http://www.ferc.gov/industries/electric/indus-act/demand-response/dr-potential.asp Paolo Bertoldi, European Commission, DG JRC, IE- Institute for Energy: Demand response is a series of programs sponsored by the power grid, the most common of which pays companies (commercial DR) or end-users (residential) to be on call to reduce electricity usage when the grid is stressed to capacity. [ ] DR is different from reduction in load and energy consumption due to real time, time of use, or peak time tariffs, where end-users decide to act on its own consumption to reduce costs. http://iet.jrc.ec.europa.eu/energyefficiency/workshop/international-workshop-potential-and-programmes-foster-demand-response-europe Load follows generation to avoid high electricity prices or maintain reliable electric services.

Demand Response Common Roles in Demand Response Market Utility There are different kind of utilities in the market which follow up either generation, transmission, distribution or energy retailing or combination of those. Utilities decide to create and manage DR Programs on their own or enter into bilateral contracts in which aggregators sell DR capacity commitments to a utility. Energy Retailer Energy retailer actively procure capacity in energy markets, including DR markets. This means they buy energy from energy markets or generation utilities and sell it to their customers often for fixed prices. Hence, they bear the risk of fluctuating energy prices. DR Aggregators Aggregators deploy the technology to enable DR capacity and sell the capacity into DR open markets or sell directly to utilities. Energy End-Consumer Energy end-consumer are split into residential, commercial and industrial customers. Some of them participate in DR Programs to reduce their energy cost. Common players in energy market could combine more than one specific role.

Demand Response Demand Response Business Drivers for Utilities Energy costs Cost avoidance of expensive whole market purchases to peak capacity Cost effective balancing of wind and solar generation System stability and security Improve distribution reliability Avoidance of blackouts/ rolling blackouts Flexibility Ability to sell excess capacity into wholesale markets Provision of load flexibility into control reserve markets Internal resource management Reduce investment for peaking generation capacity Quicker to reach capacity than building peaking plants Stakeholder management Customer satisfaction/ loyalty from lower rates and enhanced service offering Reduced emission footprint through avoidance of inefficient peaking generation Satisfying regulatory requirements for demand-side management programs

Demand Response Overview of Siemens Demand Response Offering Demand Response offering aggregator, retailer, utility IT/OT systems system integration service Demand Response application Demand Response software site enrollment & enablement residential small commercial large commercial industrial

What Should a DRMS Platform Achieve with Integration and Associated Services? System Integration Services DRMS vendor should have experience deploying multiple types of utility control center applications from a holistic perspective A true DRMS should be able to interface with various utility back office IT systems including CIS, Billing, GIS, OMS, DMS, EMS, with interfaces to multiple MDM and AMI Systems and derive extended functionality Scalable & Flexible System Manage single or multiple demand response programs Enables the control of any desired demand response program to its customers and enroll load into any type of demand response market Modular, customizable solution Available as hosted software or licensed software in multiple system packages High-value DR Applications Rapid load reductions for ancillary services and frequency regulation Selective dispatch of resources by e.g. geography, feeder line, customer type Ability to perform advanced energy analytics on consumption data Turnkey Services Page 7 Siemens can deliver end-to-end services for demand response enablement including commercial and industrial programs, residential energy management, and electric vehicle charging station deployments Siemens offers system integration of the DRMS into utility operation IT include energy management, SCADA, and meter data management systems

Sample DRMS System Architecture Overview Cloud Electricity Consumer LMS ecar Charging Notification Weather ISO BMS Meter Smartplug Thermostat Commercial Gateway Residential Gateway Control, Load Control, Load Control, Load Control, Load DRMS Notification Weather DR signal Customers Load CIS MDM PLC Utility Field Industrial Gateway Control, Load Load Control AMI Baseline Load Page 8 Substation Load SCADA Utility IT

DRMS Wide Range of Interfaces for Data Integraion DRMS application interoperability with various IT/OT systems EMS/SCADA DMS MDM CIS BMS AMI consumer data Consumption data Meter data aggregator, retailer, utility data Event signals Price signals Market data Grid state data Contracts external data Weather data Market data

DRMS Key tasks of DRMS Software Administration of Loads, Aggregations and DR Assets Manage participants, sites, contacts and SDP (Service Delivery Point) Installation of end devices like SDP, AMI, Gateway Manage aggregations individual or flexible based on substations, feeders, zip code or geography Page 10

DRMS Key tasks of DRMS Software Integration of Multiple DR Programs and Customer Enrollment Create and manage multiple DR programs, which represent contract information Definition of constraints Enroll customers into different DR programs Page 11

DRMS Key tasks of DRMS Software Schedule and Dispatch of DR Events DR event based on an aggregation and DR program Manual and automated event dispatch Monitoring and measure event participation Page 12

DRMS Key tasks of DRMS Software Preparation of Settlement for Billing Systems Multiple baseline calculation Adjustment of baseline (only if required) Integration of consumption data from MDM Reporting Page 13 2014-7-1 A. Schneegans / IC SG EA APP

DRMS Typical System Configuration logical data flow email, text, phone request for event MDM billing system notification DRMS actual consumption data via MDM direct load control AMI system gateway / BMS gateway optionally real-time consumption residential commercial industrial

DRMS Customer Benefits using Siemens DRMS software Integration and managing of various DR programs Broad and flexible aggregation possibilities for loads Reliable event planning due to load forecast and load shedding analytics Manual and automated DR event schedule and dispatch Selective load shedding by e.g. substation, feeder, geography, zip-code Monitoring and measure event participation Fully automated preparation of end-consumer specific settlement data Modular & customizable web-based solution to meet utility needs now and in the future High availability with scaling to million s of endpoints Multiple interfaces to other utility, retailer or aggregator IT/OT systems Multi-tenant capable for a hosted DRMS application Support of standard protocols like Multispeak and OpenADR

ISGF : WG-5: Consumption & Load Control Objective: WG-5 would recommend technologies and solutions which can be adopted in India for load control and consumption to enable peak load management and overall energy management Steps involved in Baselining Process for DR program has been defined. Deliverables and Work Plan/Milestones: S. NO. Description Timeline for completion 1 Inception report DONE 2 Submission to IEC PC 118 on Use Cases for demand response in Indian context DONE 3 User requirement specification Draft prepared. 5 Technology selection guide Jun-14 6 Pilot study report Dec-15 16

ISGF WG 5 : Use Cases ISGF WG 5 :- Use Cases Energy Efficiency Use cases list 1.Energy Efficiency through demand response 2.Active Energy Efficiency using Smart/ intelligent controls and equipments 3.Energy monitoring, measurement 4.Demand side management 5.Equipment Efficiency Demand Response for Peak Load reduction 1.Managing devices through/by ESI (Energy Service Interface) 2.Load Reduction through Price Home Energy Management Use cases 1.Overall near real time energy Monitoring 2.Appliances wise Consumption monitoring and control 3.Optimization of Energy usages 4.Stand-by smart appliances 5.Inverters Battery charging through Solar PV/Wind Building Energy Management Use cases 1. Monitor Energy use, etc Page 17 2014-7-1 A. Schneegans / IC SG EA APP

Thank you! Vikram Gandotra Phone: +91 (124) 383 6045 Mobile: +91 98 1111 0288 E-mail: vikram.gandotra@siemens.com siemens.com/answers