Overcoming Barriers to Smart Grids & New Energy Services UT Smart Grid Conference April 7 th, 2011 Trip Doggett President & CEO Electric Reliability Council.

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Presentation transcript:

Overcoming Barriers to Smart Grids & New Energy Services UT Smart Grid Conference April 7 th, 2011 Trip Doggett President & CEO Electric Reliability Council of Texas

2 North American Interconnected Grids The ERCOT Region is one of 3 North American grid interconnections The ERCOT grid: –Covers 75% of Texas land –Serves 85% of Texas load –>40,000 miles of transmission lines –>550 generation units –Physical assets are owned by transmission providers and generators, including municipal utilities and cooperatives ERCOT connections to other grids are limited to direct current (DC) ties, which allow control over flow of electricity UT Smart Grid Conference April 7, 2011

3 We’re using more energy than ever before Winter peak demand New record – 57,282 MW (February 10, 2011) Beats previous 2007 record by ~ 8,300 MW Summer peak demand New record – 65,776 MW (August 23, 2010) Beats previous 2009 record by ~2,300 MW Wind output record New record – 7,227 MW (December 10, 2010) Beats previous 2009 record by ~1,000 MW April 7, 2011 UT Smart Grid Conference

4 ERCOT expects adequate reserves up to 2013 April 7, 2011 UT Smart Grid conference

5 We’re excelling at integrating variable resources ERCOT is #1 in the U.S. in wind production. Our capacity is three times the amount of #2 (Iowa). If Texas were a separate country, we’d be #5 in the world. Source: Registration data provided by resource owners. April 7, 2011 UT Smart Grid Conference

6 Our market is building transmission faster than any other 40,530 Miles of Transmission Lines in ERCOT 9,249 miles of 345 kV 19,565 miles of 138 kV >8,000 circuit miles of transmission built since 1999 ~8,000 circuit miles of transmission under study $6 billion investment in transmission placed in service since 1999 $9 billion under development (including CREZ transmission) April 7, 2011 UT Smart Grid Conference

7 April 7, 2011 Smart grid at the bulk power level: ‘Macomber Map’ ERCOT identified the need for situation awareness and improved user experience in control rooms Main issues: –Need for wide-area and high-level views –“Alarm storm” –“Dust storm” –Locations of equipment –Navigation between one-lines –Naming conventions for equipment –Data integration across multiple systems –Increased cognitive load as operators increasingly managing more tasks with more complex systems. This trend is only continuing (e.g., AMI)

8 The ‘Macomber Map’ Visualization tool used by ERCOT operators for situational awareness Allows operators to see all data for single element (e.g., a generator), across applications and systems Used for many ERCOT applications: –Control room –Network modeling group –Congestion Revenue Rights –Market Information System (contour map of LMPs and SPPs) –Training –Engineering Developed in-house; named for one of the developers who passed away in 2008 UT Smart Grid Conference April 7, 2011

9 UT Smart Grid ConferenceApril 7, 2011 Macomber Map Core functionality: –Integrates numerous data sources in the control room -- network model, real-time and study energy data, market data -- across applications and systems. –“Google” approach to the transmission grid allows operators to locate elements by a series of keywords (e.g., name, county, voltage, owner) –Links all transmission elements to a point on the map, to prevent alarm and dust storms –Pyramid approach allows operators to drill down quickly from high- level to detailed data rapidly: “forest and trees” –Consistent positional awareness, regardless of detail level Linking equipment with ownership and operatorship information for rapid response. –When possible, linking problems with potential solutions. –Allows operators to aggregate data within regions (e.g., Hurricane Dolly)

10 UT Smart Grid ConferenceApril 7, 2011 Macomber Map ongoing enhancements Integration with additional systems and data (e.g., TruWind) Using MM as a test platform for research, determining optimum color patterns, etc. Increased utility in viewing historical data Additional weather data

11 Smart grid at the bulk power level: Synchrophasors Joint project of ERCOT, Transmission Owners (AEP, Oncor, Sharyland) and the Center for the Commercialization of Electric Technologies (CCET) Initiated in Fall 2008 with 3 AEP PMUs Currently 14 Phasor Measurement Units (PMUs) installed at 12 TO locations –Real-Time Dynamic Monitoring System (RTDMS) at ERCOT Expanding to 23 PMUs, provide TOs access to RTDMS visualization applications GOALS: –Provide real-time dynamic information –Identify precursor conditions to undesirable grid performance and behavior –Identify changes in operating procedures or actions to facilitate integration of phasor measurements, hence improving grid reliability –Recalibrate dynamic models UT Smart Grid Conference April 7, 2011

12 What the Phasors Do Phasor measurement technology offers a means of capturing wide-area snapshots of phase angle profiles and comparing them. April 7, 2011 UT Smart Grid Conference

13 ERCOT Phasor Locations April 7, 2011 UT Smart Grid Conference

14 Benefits of Phasor Measurements Direct measurement phasor angles – In EMS, phasor (voltage or current) angles only can be calculated by State Estimator, which runs every 5 mins – PMUs continuously measure voltage/current angles with high sampling rate (≥ 30 samples/s) High sampling rate – Conventional SCADA measurements update in seconds – PMUs typically take 30 observations per second Voltage phasor angle difference can be used as a good indicator of grid stress April 7, 2011 UT Smart Grid Conference

15 Angular Separation during Northeast Blackout in 2003 (Normal Angle ~ 25°) Phasor Measurements = Situational Awareness April 7, 2011 UT Smart Grid Conference

16 Frequency and angle data in high sampling rate can be used in real-time or off-line study to detect system oscillation and identify the instability by monitoring the damping ratio California–Oregon Interface Oscillation during Western Power System Breakup (August 10, 1996) Phasor Measurements = Situational Awareness April 7, 2011 UT Smart Grid Conference

17 April 7, 2011 UT Smart Grid Conference Real-time Phasor Application

18 April 7, 2011 UT Smart Grid Conference Off-line Event Study

19 April 7, 2011 UT Smart Grid Conference Other possible Synchrophasor apps All possible PMU applications and their positions in industrial roadmap

20 Smart grid at the distribution level Improved elasticity of demand among small customers –Advanced metering –Home Area Networks –Load control devices –Dynamic price offerings A ‘self-healing’ grid that responds dynamically to shortages, disturbances or high price events –Automatic response to signals at the device level ‘Demand Response 2.0’ UT Smart Grid Conference April 7, 2011

21 UT Smart Grid Conference April 7, 2011 Advanced Meters AMI Meter Deployment Plan 2.97 million advanced meters now deployed by 3 investor-owned TDSPs

22 AMI settlement keeping pace ERCOT is now settling nearly 2.7 million ESIIDs with 15-minute Advanced Meter Data First Operating Day Settling Advanced Meters:November 29, ESIIDs Current Status: March 31, 20112,693,726 ESIIDs April 7, 2011 UT Smart Grid Conference

23 April 7, 2011 UT Smart Grid Conference

24 UT Smart Grid Conference April 7, 2011 Definitions of Demand Response ‘The short-term adjustment of energy use by consumers in response to price changes or incentives.’ (FERC) ‘Changes in electric use by demand-side resources from their normal consumption patterns in response to changes in the price of electricity, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.’ (NERC) ‘A temporary change in electricity consumption by a Demand Resource in response to market or reliability conditions.’ (NAESB)

25 UT Smart Grid Conference April 7, 2011 Definitions of Demand Response The common threads: –Change in Load –In response to a signal (economic or operational) 2 key questions relative to any DR: 1.What is the signal? 2.Who pushes the button?

26 Load Participation opportunities in ERCOT Today Resource TypeServiceRequirements Voluntary Load Response (VLR) Curtailment or reduction in response to Market Price or other factors  Metering  Curtailment technology  Retail contract with price response incentives Load Resources (LRs)Responsive Reserves  Interval metering  Telemetry  Under-Frequency Relay  Curtailment technology  ERCOT Qualification Emergency Interruptible Load Service (EILS) Curtailment in response to ERCOT Verbal Dispatch (10 minutes)  Interval metering  Curtailment technology  ERCOT Qualification Controllable Load Resources (CLRs) Regulation Service Responsive Reserves  Interval metering  Telemetry  Ability to receive AGC-type signals  Governor-type frequency response  ERCOT Qualification Future? All of the above PLUS : Load Participation in Security-Constrained Economic Dispatch Real-Time Energy Market and all Ancillary Services  To be determined  Loads would submit DR energy offer curves to compete with generation in the energy market April 7, 2011 UT Smart Grid Conference

27 DR triggers Today’s triggers in ERCOT: –Operations/reliability Energy Emergency Alert Grid frequency drop (Under-frequency relay trip) Frequency recovery (NERC Disturbance Control Standard) Local congestion management (rarely used) –Economic Energy price response (MCPE) – real-time pricing, critical peak pricing, etc. 4CP response – large customer transmission rates are based on usage during summer peak intervals UT Smart Grid Conference April 7, 2011

28 ERCOT DR today Operational DR: –181 Load Resources with 2382 MW of registered DR capacity Participation in Responsive Reserves capped at 1150 MW –473 MW of EILS provided by ~130 individual Loads and aggregations (~1,000 individual meters) Economic DR: –2007 ERCOT survey of LSEs indicated >1000 MW: Curtailing to 4CP signals –11,000+ IDR-metered Loads subject to tariffs –Difficult to quantify due to multiple players involved –Several predictor products available in the market –Behavior is well-baked into ERCOT load forecasting Curtailing based on real-time price exposure Curtailed by LSE through direct load control UT Smart Grid Conference April 7, 2011

29 Summer Day Load Shape with Fuel Mix The region has plenty of off-peak capacity April 7, 2011 UT Smart Grid Conference Summer Peak Day 8/23/10 by Fuel Type ~28 GW

30 DR Potential in ERCOT UT Smart Grid Conference April 7, 2011 Source: FERC 2009 National Assessment of DR, page 42 FERC estimates >18 GW of DR potential in Texas by 2019 –Attributed to high peak demand –This would represent 20-25% of total ERCOT peak

31 Off-peak vs. on-peak load UT Smart Grid Conference April 7, 2011 Residential Large C&I Both days were Wednesdays Customer class breakdown is for competitive choice areas only IDR meters are required at >700kW Hot day, high A/C load ERCOT load for this hour: 63,594 MW ERCOT load for this hour: 30,697 MW 21,000 MW of residential summer peak load Moderate day, low A/C load

32 The ERCOT Smart Grid Municipals and Co-ops (24% of ERCOT Load) have a number of existing and developing smart grid initiatives –AMI deployments –Smart thermostats –Other DLC House Bill 2129 (2005 Texas Legislature) and ensuing PUC Rulemakings jump-started the smart grid with AMI incentives and requirements for TDSPs in competitive choice areas –Accelerated cost recovery via AMI surcharge 3 TDSPs are well along in their deployments; others coming shortly –Mass deployment gets meters in the field faster and lowers the cost per customer UT Smart Grid Conference April 7, 2011

33 Path to the ERCOT Smart Grid TDSP Back Office 15-minute Settlement REP Back Office Customer Education Incentives Home Area Network Load Control Equipment UT Smart Grid Conference April 7, 2011

34 Path to the Smart Grid -- Incentives The incentives may come in many forms: –Time of Use pricing (behavioral load-shifting) –Real-time pricing –Subsidized HANs or controls in exchange for centralized dispatch By the REP or a third party –Direct load control (DLC) by the REP to manage its load shape based on Day-Ahead market positions –Critical peak pricing combined with REP DLC –Combinations of the above –Others UT Smart Grid Conference April 7, 2011

35 How can the smart grid benefit ERCOT operations? ERCOT’s main responsibility is always grid reliability DR is needed round-the-clock, not just on peak –Of 18 Load Resource deployments since 2006, only 3 have occurred during traditional summer peak hours (3-7 PM weekdays, June through September) –Less DR available off peak Most smart grid actions will occur in the distribution system behind the customer meter We expect better price elasticity of demand –As prices correlate to system conditions, this equates to ‘self- healing’ As customers adopt the smart grid, ERCOT will need to adapt its load forecasting tools UT Smart Grid Conference April 7, 2011

36 Questions we have How many REPs will build AMI DR portfolios? –Does DR capability = smarter energy consumers = enhanced customer loyalty? How much mass market DR potential is out there? –Residential and small commercial? How fast will it develop? Who is most likely to push the button? –REP, customer, third party? Will the signals all be economic? –What energy prices are needed to stimulate DR? Will shortage/scarcity conditions always correlate to high prices? Would mass-market DR aggregations participate in the real-time Nodal energy market or ancillary services, if they could? Is EILS attractive to mass market DR aggregations? UT Smart Grid Conference April 7, 2011

37 Advanced Metering Implementation Team AMIT has made much progress –Smart Meter Texas portal development –Business rules for AMI and SMT But: –Low sign-up rate for SMT access among AMI customers –Home Area Networks are slowly rolling out –Customer education initiatives not really evident –Low participation by REPs and aggregators in the AMIT process Expectations are out ahead of the reality! Let’s make the Smart Grid happen – GET INVOLVED! UT Smart Grid Conference April 7, 2011