1 Microgrids Designing Their Role in the Smart Grid Steve Pullins, President September 2012
2 2 What is a Microgrid? A microgrid is a group of interconnected loads and distributed energy resources within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. A microgrid can connect and disconnect from the grid to enable it to operate in both grid-connected or island mode. DOE Microgrid Exchange Group, October 2010 Rooftop PV Solar Many new things to manage! Utility-scale Energy Storage Switches & Power Electronics Microturbine There are federal and state incentives and tax credits for microgrids. Energy Storage Ground PV SolarArray PHEVs Distributed Generation Home Energy System
3 3 Beach Cities Microgrid Project $15.2M project in Borrego Springs, 4.5 MW, 500 customers, 0.6 MW PV, heavy irrigation, 120 o F summer heat Funding: Sempra $4.2M, DOE $7.5M, CEC $2.8M, others ~$0.8M Involves Integration of five (5) technologies: Distributed Energy Resource (DER) and VAr management FeederAutomationSystem Technologies (FAST) Advanced Energy Storage (AES) Microgrid Controller & OMS/DMS Price Driven Load Mgmt (PDLM) Operations Testing for Optimization Scenarios First stage operational: Q3 2011, Final stage: Q Business Case and Multiple Microgrid Implementation Plan
4 4??? What to expect in the future THE CASE FOR MICROGRIDS
5 5 Electric and Gas Price Trends We can expect electric rates to increase 7% by 2020 and 15% by We can expect natural gas rates to increase 56% by 2020 and 89% by Source: DOE EIA Annual Energy Outlook 2010
6 6 Electric System Reliability System Average Inter rruption Durat tion Index (min nutes) Outage Duration (SAIDI)* At 106 minutes, US businesses lose $80B to $150B per year in revenues due to electricity outages *Reports on previous year s data Sources: Lawrence Berkeley National Lab, IEEE 1366, EIA data, EPRI
7 7 From the 20th to the 21st Century 25 M residential solar Generation Transmission 45% 43% 17,342 units 164,000 miles Distribution 34% 3 million mi Consumer Systems <1% 12.3 M DG 1 M PHEV/PEV 10 M PHEV/PEV 50 M PHEV/PEV 2 M architectural wind 5 M building solar 500 wind parks 50 solar parks 5,000 distributed wind 5,000 utility solar 100,000 Buildings as PP Continued increase in Prices increasing, in some regions Changeover to more and Consumer energy intensity faster than gasoline at the pump more digital loads choices
8 8 Renewables Growth (2004* 2008) Renewables Global Status Report 2009 Update (145 countries reporting) * Baseline Bonn Renewables Conference 2004 Grid connected PV now 13GW 600% increase Wind now 121GW 250% increase Total from all renewables now 280GW 75% increase Includes large increase in small hydro, geothermal, & biomass generation Solar heating now 145 GWth 200% increase Biodiesel production now 12B liters/yr 600% increase Ethanol production now 67B liters/yr 200% increase Annual renewables investment in new capacity now $120B/year 400% increase
9 Business As Usual Results 9
10 10 Trend in Central Station Generation 52.0% Average Generation Asset tutili Utilization Factor 50.0% 48.0% 46.0% 44.0% 42.0% 40.0% 0% Source: EIA Electric Power Annual 2008 Why would we think this will work tomorrow?
11 11 Simple Math To support consumption of 1 MW: Requires central station production of ~1.2 MW Line losses, transformation losses, congestion losses Requires central station installation of ~2.2 MW Average fleet capacity factor ~45% Requires distributed production of ~1 MW Requires distributed installation of ~1.4 MW
12 12 Design and engineering CONSIDERATIONS
13 13 Microgrid vs Traditional Supplier Roles Table 3, Assessing Power Supply: Environment and Energy Efficiency, Perfect Power Institute, July 2012
14 14 SG Characteristic Comparison Characteristic Enable active participation by consumers Accommodate all generation and storage options Enable new products, services, and markets Provide power quality for the digital economy Optimize asset utilization and operate efficiently Anticipate & respond to system disturbances (self heal) Operate resiliently against attack and natural disaster Microgrid X X X BAU Central Station Supply DR, EE, Conservation X X X X X X X X X Renewables Standard X
15 15 Why Microgrids? Savings: The microgrid portfolio of resources is tuned to the campus to provide economic savings Sustainability: The microgrid portfolio enables a hedge against fuel cost increases Stewardship: The microgrid idenables deep penetration ti of renewables Emissions reduction Green marketing Reliability: The microgrid actively controls the network for better reliability
16 16 Microgrids and the 5 Key Technology Areas Advanced Control Methods Sensors and Measurement Integrated Communications Decision Support & Improved Interfaces Advanced Components Source: DOE/NETL Modern Grid Strategy The Smart Grid is a System.
17 17 Generation Dispatch Past Utility Centric (Vertically Integrated) Utility Y Control Area Utility X Control Area Utility Control Area
18 18 Generation Dispatch Present Generation Dispatch RTO/ISO Centric (Deregulated) Security-Constrained Economic Dispatch RTO / ISO Control RTO / ISO Market Utility X Utility X Control Area Utility Control Area Utility Y Control Area Control Area Utility ZZ Utility Control Area
19 ISO / RTO Map 19
20 20 Generation Dispatch Future Generation Dispatch Consumer Centric Economic / Reliability / Environmental (ERE) Dispatch RTO / ISO Control RTO / ISO Market O / SO a et Utility X C t la Control Area Ancillary services Reserves Day Ahead Market Utility Control Area Utility Y Control Area Control Area Utility Z Control Area l Community aggregation Microgrids DG peaking resources Energy arbitrage
21 21 Microgrid Architecture Considerations Utility Network Management Microgrid Objectives Take action to improve reliability Take action to improve economics Take action to manage renewables Distributed Energy Resources Utility scale Energy Storage RooftopPV Solar Micro turbines Building Energy Storage Community Energy Storage Distributed Generation Home Energy System PHEVs Ground PV Solar Array Microgrid id Master Controller Manage many new things? Information Electricity Pricing DER status Demand Response Programs Network status Community Objectives Load and Resource Profiles SCADA System Grid Resources Capacitor Banks Voltage Regulators Automated Switches Power Electronics Communications
22 MICROGRID USE CASES 22
23 23 Use Case to Design Use Cases were first created in the software development community to bring order to defining requirements for development They represent an actor using a function in a series of steps Use Cases provide traceabilitybetween between user objectives and requirements Objectives Use Cases Functional Requirements Architecture Solution Design
24 24 Functional Description (Use Cases) Utility Manages Utility Owned MMCmonitors grid system Distributed Generation status and passes information Real time VAR Support along to DMS Power System Automatically MMC curtails til customer load dfor Reconfigures for Reliability using grid management due to forecast FAST MMC curtails customer load for Independent Energy Storage grid management due to Operations unforeseen events Directed Energy Storage Planners Perform Analyses Using Operations Multiple Data Sources MMC monitors grid system status and exerts control to maintain system stability and prevent pee toe overloadsoads
25 25 req MMC High Lev el Use Cases Microgrid Use Cases Manage Local Grid System Manage Utility DER Manage Customer Load 10. Load Researchers and Planners Perform Analyses Using AMI Data «include» «include» «include» «include» «include» 2. Real time VAR Support «include» «include» 3.Power System 8. MMC curtails 9. MMC curtails Automatically customer load for grid customer load for grid «include» «include» «include» Reconfigures for management due to management due to Reliability using FAST forecast unforeseen events (or MMC) 6.MMC monitors grid system status and exerts control to maintain system stability and prevent ov erloads 7. MMC monitors grid system status and passes information along to DMS Manage Solar 1. Utility Manages Utility-Owned Distributed Generation 4.Independent Energy Storage Operations 5.Directed Energy Storage Operations
26 26 Example: Sparx EA Business Process Diagrams Use Case 4.2: Independent Energy Storage Operations BPMN Scenario 4.2: Execute charge/discharge in load following mode «flow» Dist Ops (from SEu Roles) AES Independent Mode Desired «Lane» OMS/DMS Direct AES Mode of Operation Send voltage status «BusinessProcess» DMS Monitors status of microgrid End «flow» «La ane» M MC «BusinessProces... MMC Monitors health and status of DG MicroGrid Resources Compare voltage status Permit continued regulation or take corrective action Notify of change in status Voltage «flow» «Lane» AES PCS Monitor local circuit voltage and react automatically PCS continues operator or reponds to MMC corrective action plan Notify of change in status
27 27 Use Case Scenarios 1. Utility Manages Utility Owned Distributed Generation Scenario 1. Utility uses communications infrastructure to communicate with utility owned distributed generation to start/stop generator in constant output mode. 2. Real time VAR Support Scenario 1. Capacitor reads Circuit VAR data real time and automatically turns on or off based upon prearranged setting. Change in status reported to DMS through SCADA. Scenario 2. Capacitor reads line voltage and relays it to DMS through SCADA. Scenario 3. Distribution operator places capacitor in Manual mode and manually turns capacitor on or off and MMC re optimizes.
28 28 Use Case Scenarios (cont.) 3. Feeder AutomationSystem Technology (FAST) Scenario 1. Microgrid in island ops, a fault occurs inside microgrid. Scenario 2. Microgrid island ops on DG only, a fault inside microgrid. Scenario 3. Microgrid in island operation on AES with DG available, a fault occurs inside microgrid. Scenario 4. Capacitor automatically comes online or offline as a result of FAST operation. 4. Independent Energy StorageOperations Scenario 1. Energy storage executes charge/discharge sequence independent of DMS and MMC control as part of ongoing Peak Shaving Operations (similar to Cap Bank operations). Scenario 2. Energy storage executes charge/discharge sequence in response to over volts orunder volts oncircuit (load following mode).
29 29 Use Case Scenarios (cont.) 5. Directed Energy Storage Operations Scenario 1. Energy storage executes basic charge/discharge sequence due to command from DMS/MMC. Scenario 2. EnergyStorage executes change in VAR flow during charge/discharge operations due to request from DMS/MMC. Scenario 3. Utility uses energy storage for arbitrage (financial) 6. MMC monitors grid system status and exerts control to maintain system stability and prevent overloads Scenario 1. MMC detects line outage, arms appropriate response, and executes Scenario 2. Microgrid executes a planned transition to island ops Scenario 3. Microgrid reconnects to the main grid Scenario 4. MMC controls individual microgrid resources
30 30 Use Case Scenarios (cont.) 7. MMC monitors grid system status and passes information along to DMS Scenario 1. MMC incorporates all system information into a status evaluation. 8. MMC curtails customer load for grid management due to forecast Scenario 1. Forecast load expected to be subject to curtailment and pass to DMS. to DMS. Scenario 2. Execute curtailment in response to pre scheduled pricing event on system. Scenario 3. Customer opts out of curtailment for pre scheduled event Scenario 4. Load at the customer site is already below threshold
31 31 Use Case Scenarios (cont.) 9. MMC curtails customer load for grid management due to unforeseen events Scenario 1. Execute emergency curtailment in response to loadon on system Scenario 2. Customer opts out of curtailment for Grid Management (same as scenario 1) Scenario 3. Customer already operating at DR commitment level (same as scenario 1) 10. Planners Perform Analyses Using Multiple Data Sources Scenario 1. Planners perform studies with data from a designated subset of meters
32 TECHNICAL ARCHITECTURE 32
33 33 Architectural Significance Resource integration Volt, VAR, variability (VVV) management Control modes and signal design Distributed control Sharing information in real time (two way) Market influences Recognize the microgrid mostly performs in parallel with main grid ability to seamlessly island and reconnect
34 34 Microgrid Architecture Overview Utility ty Market (Wholesale l / retail) DNP 3 IEC Modbus IP Multiple microgrids Microgrid Master Control IP NOC Optimization Control Enterprise Integration Platform Low latency DG(s) PCS AES Consumer DER DR Switches Cap Banks HAWT, VAWT, PV, energy storage, thermal storage, electric vehicles, synch breakers, synch relays, building energymgmt, DLC, PDLM, etc IP Data Warehouse
35 35 Future Distribution Architecture Future Distribution Architecture Utility Control Area DER in the cloud Community X Microgrid g Community Y Microgrid DER in the cloud Utility Microgrid Coordination Campus A Microgrid Community Z Microgrid Campus B p Microgrid Commercial Park 1 Microgrid g
36 36 Essential Role of Microgrids Address local reliability challenges Address local economic issues (community objective) Enable energy arbitrage (community objective) Aggregate control of multiple sources (DG, storage, consumer DER, DR, switches, Cap Banks, DA, etc.) Be a good grid citizen
37 MICROGRID DESIGN 37
38 38 Active Monitor and Control Optimize variable aspects: load, wind, solar, storage Continuously monitor and trend health of all system components Base the energy market purchases and sales on hourly forecasts Leverage resources into the energy market on local non peak days Island (i.e. disconnected or zero net electric import) when needed or advantageous
39 39 Microgrid Master Controller Microgrid master controller (MMC) the brain actively control electric supply and consumption 24/7 Objectives Optimize economics Optimize reliability Reduce carbon footprint Basedon a significantusecaserequirements process developed on the San Diego microgrid under SDG&E,DOE, DOE, and CEC funding
40 40 Successful Microgrid Design Integrate Understand Optimize i Act See NOC Dashboard Website Interface Physical devices / resources
41 41 MMC Two Designs MMC Brain Agent Community Integrate Understand Integrate Understand See Optimize Act See Optimize Act Optimize Act Interface Interface Interface Optimize i Optimize i Optimize i Act Act Act Interface Interface Interface
42 42 MMC Design Interface Distribution resources Wind PV Storage S / PCS Grid devices DG base Consumer resources Wind PV Storage DG peak Load This layer provides the interface to all resources and devices in the microgrid network. Common Interface SOA / Web svcs Likely wireless Physical devices / resources
43 43 MMC Design Act Volt, VAR, Variability Management Economic, Reliability, Environmental Dispatch Resources Integration Real time State Measurement Status & Health Monitoring Response / Corrective Action Cold LoadPickup This layer provides the actions or decisionmaking that are needed in real-time.
44 44 MMC Design Optimize Optimization Module Comparison Algorithm Cost Optimization Algorithm Price Driven Load Management Anticipatory i t Algorithm This layer provides the primary means of continuously optimizing i i the microgrid id network for all inputs and variables. It operates in near-real-time to support the Act layer.
45 45 MMC Design Understand This layer provides the more computationally-intensive intensive decision services that support Optimization but are not needed in real-time. Risk Evaluation Module Simplified Rules Engine Energy Arbitrage Algorithm Day Ahead State Estimation Market Influences Algorithm Demand Response Estimator External Inputs Engine Two way Information Sharing Interface Reporting Tools
46 46 MMC Design Integrate Financials Module billing, market clearing, settlements, AP, AR, rates engine Design Tools DER balance, Market PDLM, VVV, ERE Dispatch Wholesale l Power Buy Module Weather / Environment This layer provides access to complex engines that support the overall microgrid operations or network design but are not needed in real-time.
47 47 MMC Design See This layer provides presentment of key information to operators, management, maintenance, and customers. Some information is in real-time while most is in near-real-time. Network Operations Center Dashboards HMS Owner/operator Maintenance support Customers Websites
48 48 MMC Design Embedded There are several key elements embedded in multiple areas of the design Interoperability standards Common information model Cyber security Service oriented architecture
49 49 MMC Sequence of Operations These layers operate in different time regimes based on capabilities and needs. Shorter time regimes require thinner computations. Understand Optimize Act information packets information packets command and information packets sec.
50 50 Design Conclusions (So Far) The MMC is complex, but necessary to properly manage the network complexity from multiple resources and loads that arevariable in nature. The Use Cases, and subsequent functional requirements, developed withutilityexperts provides a sound foundation for the architecture and design. The organization of the MMC around those modules that g require real time computation and action, and those that do not is essential for the MMC to meet its timing requirements in operation.
51 MICROGRID MARKETPLACE 51
52 52 North American Microgrid Market 2015 ~400 >1,300 >8,500 >15,000 Source: Pike Research
53 53 Market Size Microgrid Capacity, World Markets: ,000 US microgrids by Pike Research, Dec 2009 Source: Pike Research ~$2B annual US market by 2015 y - Pike Research, Dec 2009
54 54 Regulatory Risk State regulators will have little to no authority in the campus, commercial / industrial park, and military markets. For municipalities with an existing municipal utility, the city commission regulates the electric service good long term economics rule. For municipalities currently served by an investor owned utility, the microgrid may require the municipality to charter its own utility several in CA, FL, and Northeast are already doing this for cost and reliability reasons. For utilities, the state regulator would get involved if the utility expected customers to pay for the microgrid id not our business model. dl State commissions who are promoting active grid participation by customers (CA, TX, FL, MA, CT, OH, IL, ) could lead to microgrid incentives tied to better economics, better reliability, and reduced CO2 footprint.
55 EXAMPLE MICROGRIDS 55
56 56 Project 1: 11 MW Shipyard Shipyard will save ~$23 million in the first 10 years of the microgrid operations. $25,000,000 Annual Electric Bill Comparison $20,000,000 $15,000,000 Current Trend $10,000,000 Horizon Microgrid $5,000,000 $
57 57 Project 2: Campus Project Engineering i Campus 3.5 MW projected average summer day demand 750,000 sq ft 3,200 engineers
58 58 Executive Summary Microgrid sustainable, reliable active 24/7 control of supply and load Sustainability Objectives Reduce annual energy cost by > 15% for the long term Reduce carbon footprint by 1,530 Tons over 10 yrs Increase reliability and reduce the risk of an outage Sustainability leadership among peers Not replacing the utility grid (still connected), but replacing much of the utility supply to be more cost effective & reliable Increased renewables
59 59 Project 2: Electric Bill Savings The campus will save almost $10M in the first 10 years of the microgrid operations
60 60 Renewables Footprint Campus Renewables Footprint Roof Solar PV CHP Plant P ki D k PV Parking Deck PV
61 61 Resources Modeled Resource Capacity (kw) Hours / Year PV Wind DG Base DG Peak CHP Energy Storage Horizon has also modeled a 11,200 ft 2 Solar Thermal system to offset space and water heating. This would be co-located with the roof PV arrays.
62 62 Keys to Success Portfolio mix of resources (high efficiency and renewables) ISO NE market participant Integration of resources Gaining approval for State and Utility Incentives MMC Control to optimize operations (economics, reliability, and environmental considerations)
63 63 The Project Estimated $10.3M total development cost after incentives and tax credits Before Incentives and Tax Credits: $19.6M Equity: $2.0M Total Incentives: $9.3M Federal ITC: $3.3M State Incentives: $4.6M Utility Incentives: $1.4M Financing: 6.00%
64 64 Horizon Microgrid Business Model Client / Site Engineering Evaluation (conceptual analysis) Power Purchase Agreement (PPA) SPC (LLC) Owns the project Tax-basis entity Horizon EPC Solution Architecture t Engineering i High-level Integration Procurement Testing Construction ESCO Finance the project Operate & maintain
65 65 Where does the microgrid revolution lead? CONCLUSIONS
66 66 Probable Future State?? What are the realities? of building microgrids? Do we understand the barriers?? Are microgrids broadly applicable? What is our learning vector?
67 67 Rate Comparison Avg Utility vs Microgrid $ $ $ $ Commercial Electric Rate Breakdown (Average Utility vs Microgrid) Taxes and other Depreciation Maintenance Sales, Admin, and General $ Customer accts and services $ $ Avg Util Microgrid Transmission & Distribution Other production Purchased power Cost of fuel Return on Investment Avg Util data is based on EIA Electric Power Annual 2008, published Jan 2010 Microgrid data is based on Horizon microgrid model of typical Smart Grid 2020 City
68 68 Emerging Design Elements State estimation (day ahead) State measurement (real time) Economic, reliability, environment (ERE) dispatch tools Objective functions and algorithms for most of the design (Design Overview) Anticipatory i and response/corrective algorithms Energy arbitrage algorithms MMC enterprise vs distributed; brain vs agent community
69 69 Typical Campus Microgrid Architecture Typical Campus Microgrid Architecture RTO / ISO Market Microgrid Microgrid NOC Other microgrids Utility X Control Area Control Area SCADA MMC Apps DER LAN / Integration Bus Community / Campus
70 70 Conclusions Business As Usual will damagethe US economy by 2030 Microgrids id will be essential to deep distributed ib t d renewables penetration It is likely to get worse before it gets better The microgrid market will be defined by electricity consumers not utilities or regulators Microgrids are the likely building block of the future electric system defined by the Smart Grid environment
71 71 Steve Pullins Contact Info Horizon Energy Group named in 2008 as a Company to Watch in the book, Perfect Power by former Motorola Chairman, Bob Galvin, and former EPRI CEO, Kurt Yeager. Horizon listed in 2009 as one of the Top 100 Movers and Shakers in the Smart Grid Movement by GreenTech Media.
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