ETAP Integrated Smart Grid Solution - · PDF fileETAP Integrated Smart Grid Solution The...

© 2013 ETAP & Operation Technology, Inc.

ETAP Integrated Smart Grid SolutionThe Future of Power Systems

Engineering & Operation ‐ Today

Innovation AutomationCollaboration


Company26 Years of Successful Growth

HeadquarterIrvine, California

We Live and Breath ETAP• Research & Development• Testing & Quality Assurance• Support & Training• Engineering Services


Tradition of Growth

• Established in 1986• Growth Rate of over 25% a Year • Largest Power Systems Software Company – Worldwide

200+ Full‐Time Employees500+ Sales and Support Staff

• 100,000+ Licenses• Expertise from all Diverse Power Engineering Fields• Aggressive, Strategic and Agile R&D Division• Long‐Term Vision and Development Plan


ETAPCorporate

ETAPIndia

ETAPMENA

ETAPUSA

ETAPChina

Over 75 Sales Offices & Support Centers

Global Network with Local Support

ETAPEurope

ETAPSouth

AmericaETAPCentral America


Industries

• Consulting Firms• Distribution Systems• Transmission Systems• Generation Plants• Oil & Gas• Commercial Buildings• Mission Critical Facilities

• Data Centers• Manufacturing• Renewable Energy / Microgrid• Government Facilities• Metals & Mining• Transportation• Universities & Institutes


Smart GridOpportunities


Indian Electricity Sector Overview

• Smart Grid Market driven by population ‐> growth• 1.2 billion (2011) – 17.5% of world population• 1.6 billion (2050)

• Installed capacity as of Jan 2013• 211.766 GW• 5th Largest Electricity Sector

• Renewable capacity of 11.45%• December 2011 ‐ > 300 million citizens out of power

• 1/3rd of rural population• 6% of urban population

• Major shortage of electricity generation capacity being 4thlargest energy consumer



• Per capita average annual domestic electricity consumption (2009)

• 96 kWh in rural areas• 288 kWh in urban areas• 700 – 800 kWh in agricultural and industrial areas

• Worldwide per capita annual average• 2600kWh

• EU per capita annual average• 6200 kWh

• IEA estimates investment of at least $135 billion• Translates to 600 ‐ 1200 GW of new generation before 2050• EU total generation capacity is 740 GW



• Indian renewable energy sector is active and vibrant especially wind energy

• Dec 2011 saw 22.4 GW of renewable installation > total power generation capacity of Austria

• Network losses in India > 32% as of 2010• Technical• Non‐Technical

• Network losses > 24% as of 2011• Target

• 17% by 2017• 14% by 2022

• Challenge ‐ Success of network loss reduction dependent on availability and collation of data


United States Electricity Overview

• Smart Grid market driven by aging infrastructure and ‘Just‐in‐time’ energy


United States Electricity Overview

• Germany energy model ‐ by 2050, 80 percent of power needs will be provided by VRE and there will be no need conventional spinning reserves

• U.S. believes it requires conventional spinning reserves to be operational to accommodate VRE

• Implementing the demand model could become more challenging in the U.S. than in most other developed markets


Smart Grid101


T&D Value Chain


Smart Grid: Different Flavors for Different Tastes

“ The basic concept of Smart Grid is to add monitoring, analysis, control and communication capabilities to the national electric grid in order to improve reliability, maximize capacity, increase energy efficiency, include consumer participation and allow diverse generation and storage options ”


Grid Transformation


Smart Grid Goals

• Optimize assets and operate efficiently• Self‐Healing• Motivate & include customer• Accommodate all generation and storage options• Enable markets

Smart Applications in various domains• Transmission – Energy Management System• Distribution – Distribution Management System• Consumer – Microgrid Master Controller


Solution ArchitectureEmbedded DER Management


The Devil in the Detail

• Platform needed to support unified & consolidated electrical network models

• Model verification & validations tools• Bring together information from IT, Protection, Transmission, Distribution and Customer Microgrids

• Network lifecycle and change management system


Design

Construction

Commission

Operation

Maintenance

• Intelligent Modeling Environment• Integrated Analysis Tools• Rule‐Based Driven Design

• Energy Management ‐ Real‐Time• Monitoring & “What If” Analysis• Automated Optimal Control

• Engineering & Schematics• Equipment (Load, Cable, etc.) Management• Revisions & Version Control

• Information Management• Work Flow & Permits• Records Management

• Asset Management• Power Management Workflow • Emergency Recovery

Integrated Solution Approach


Engineering

Planning

Design

Operations

Maintenance

Reliability

ETAP GRIDETAP GRID

TransmissionTransmission

Power SimulatorPower

Simulator

Energy Management System

Energy Management System

DistributionDistribution


Simulator

Distribution Management System


MicrogridMicrogrid


Simulator

MicrogridMaster Controller

MicrogridMaster Controller


ETAP GRIDTransmissionETAP GRIDTransmission

Intelligent Network

Builders & Views

Intelligent Network

Builders & Views

One‐Line DiagramOne‐Line Diagram

Geospatial DiagramGeospatial Diagram

Network AnalysisNetwork Analysis

Load FlowLoad Flow

Short CircuitShort Circuit

ContingencyContingency

Optimal Power Flow

Optimal Power Flow

Dynamics & TransientsDynamics & Transients

Transient StabilityTransient Stability

Voltage StabilityVoltage Stability

Small Signal Stability

Small Signal Stability

Transmission Line

Transmission Line

Line ParametersLine Parameters

Line DeratingLine Derating

Sag & TensionSag & Tension

Coordination / Selectivity


Overcurrent CoordinationOvercurrent Coordination

Distance CoordinationDistance

Coordination

Energy Management

System

Energy Management

System

Topology ProcessingTopology Processing

State EstimationState Estimation

Automatic Generation Control

Automatic Generation Control

Predictive Network Analysis

Predictive Network Analysis

Economic DispatchEconomic Dispatch

Interchange Transaction Scheduling

Interchange Transaction Scheduling

Reserve MonitoringReserve

Monitoring

Unit Commitment

Unit Commitment

Web‐Based Thin Clients



ETAP GRIDDistributionETAP GRIDDistribution

Network Builders & Views

Network Builders & Views

Single Feeder Diagram

Single Feeder Diagram



Distribution Load FlowDistribution Load Flow

Distribution Short CircuitDistribution Short Circuit

Distribution Reliability Assessment

Distribution Reliability Assessment

Load AllocationLoad Allocation

Time‐Domain Power FlowTime‐Domain Power Flow

Voltage StabilityVoltage Stability

Distributed Energy Resource ModelingDistributed Energy Resource Modeling

OptimizationOptimization

Optimal Power FlowOptimal

Power Flow

Optimal Capacitor Placement

Optimal Capacitor Placement

Switching OptimizationSwitching Optimization

Fault Isolation & Service Restoration

Fault Isolation & Service Restoration

Distribution LineDistribution Line

Line ParametersLine Parameters

Line DeratingLine Derating

Sag & TensionSag & Tension







Unbalanced State Estimation

Unbalanced State Estimation

Predictive Distribution Network Analysis &

Optimization

Predictive Distribution Network Analysis &

Optimization

Volt / Var OptimizationVolt / Var Optimization

Switching Sequence Management

Switching Sequence Management

Demand ResponseDemand Response

Short‐Term Load Forecasting


OMS/CIM/GIS InterfaceOMS/CIM/GIS Interface

Web‐Based Thin ClientsWeb‐Based Thin Clients

Underground SystemsUnderground Systems

Underground Raceway

Underground Raceway

Substation Ground GridSubstation Ground Grid


ETAP MicrogridETAP

Microgrid

Intelligent Network Views &

Builders

Intelligent Network Views &

Builders

One‐Line DiagramOne‐Line Diagram



Load FlowLoad Flow

Short CircuitShort Circuit

Reliability AssessmentReliability Assessment

Time‐Domain Power FlowTime‐Domain Power Flow

OptimizationOptimization

Optimal Power Flow

Optimal Power Flow

Switching OptimizationSwitching

Optimization

Fault Isolation & Service

Restoration

Fault Isolation & Service

Restoration

Distributed Energy Resource (DER)

Distributed Energy Resource (DER)

Solar & WindSolar & Wind

DieselDiesel

Fuel CellFuel Cell

Energy Storage Devices

Energy Storage Devices




Microgrid Master Controller

Microgrid Master Controller


State EstimationState Estimation

Predictive Network Analysis & Optimization

Predictive Network Analysis & Optimization

Volt / Var OptimizationVolt / Var

Optimization

Switching Sequence

Management

Switching Sequence

Management

Demand ResponseDemand Response






Smart Grid Project: Seattle City Light

• 300,000+ pole mounted transformers and over 1 million electrical junctions

• Consolidated transmission and distribution model from disparate (6) databases into one electrical database

• Numerous data quality and consistency issues resolved• Incorporated detailed protection information• Implemented change management rules• Network model ready to be connected with real‐time data


Geospatial Network Topology


Deficiencies in Current Practice

• Traditionally, Real‐Time systems use power system models that differ considerably in detail and structure from the models used for offline studies

• Linkages between the different models are typically not maintained, and the different models often have incompatible data formats

• Power system models for real‐time systems are typically much simpler than the corresponding representations for offline power flow and dynamics studies

• State estimation is required in order to predict missing measurements.• Systems that use model calibration methods are ineffective for majority

of practical power networks since limited measurements are available• Identification & automatic filtering of errors in source of measurements

(Source: NERC White Paper)


Model Verification & Validation (V&V)

• Planning and operating decisions are based on the results of power system simulations

• Optimistic models can result in under‐investment or unsafe operating conditions

• Pessimistic models can also lead to unnecessary capital investment, thereby increasing the cost of electric power

• Realistic models are needed for ensuring reliable and economic power system operation. Hence it is a very crucial phase

• Validate the network model with real‐time and/or archived data in order to prepare a benchmarked model used for:• State estimation• Monitoring• Predictive simulation “what‐if”• Forensic analysis• Optimization• Proactive contingency analysis & Remedial Actions


Model Verification & Validation (V&V)

• Observe, Measure, Analyze actual behavior to understand system behavior

• Engineering judgment and generally accepted practices applied to:• Measuring or testing components or systems • Selecting component models • Determining component model constants • Tuning the overall system

• Validation means confirming that the simulated response (whether for a component or the overall power system) to a disturbance (steady‐state or transient) reasonably matches the measured response to a similar disturbance


Technology Breakthroughs

• 64‐Bit application• Calculation engines utilize multiple cores• New graphical package utilizing DirectX• Dynamic network reduction techniques• System Warehouse• Dynamic feeder assignments & subsystem determination• System capable of smooth operation with ‘Millions’ of

components and calculation times in ‘seconds’• Common Information Model (CIM) XML interface• Faster than real‐time applications using proactive

algorithms and look‐ahead capability• Smart Grid technology exists and its within reach


ETAP Microgrid & Active Distribution Network Solution


Forecast & Trends

• Reports / Forecast• 1.4 GW in 2011 – USD 3 Billion• 4.7 GW by 2017 – USD 17 Billion• 15 GW by 2022 – USD 27 Billion

• North America will capture majority of total capacity• Institutional / Campus• Commercial / Industrial and Community grids

• Europe and Asia Pacific• Community grids

• Microgrid is not necessarily green energy mix• ROI for both Microgrid developers and DNO’s• Demand Response via Microgrids will fill in the gaps until other resources

come online, short‐term and long‐term due to delays in transmission capacity and renewables projects

• Need to develop an integrated or comprehensive policy to create a vibrant, viable market for customer driven Microgrid


Microgrid Market

• Types• Hybrid• Off‐Grid• Grid Connected

• Technology• Switchgears• PV Inverters• Battery Storage• Flywheel Storage• Capacitors• Microturbines

• Application• Campus• Commercial• Defense


Distributed Energy Resources

• Drivers for DERs:• Regulations promoting reduced carbon emissions• Viable renewable technology (wind and solar)• Advancements in energy storage• Energy independence• Convergence of conventional generation capacity and increasing system load

• DERs can be aggregated and used to transform distributed generation into an efficient asset


Microgrid Scale


Benefits of MicrogridsDNO, Utility Perspective

• ‘Legos’ of the Smart Grid & many ‘Flavors’• Distributed DMS Optimization & Control alleviating

complexity to install and maintain a central DMS.• Infrastructure Investment Deferral via reduction in peak grid

loading• Ancillary services (reserves, Hz & kV regulation)• Increased reliability for critical loads by localized system

islanding and/or load shedding optimization• Complex regulatory structures governing investor‐owned

utilities, cooperative utilities and municipal utilities can take advantage of microgrids

• Simplified protection system management


Managing DERs

• Mix of DERs along with traditional generation can be included as:• Part of the DMS software offering a combined solution• Coordinated control between DMS and local microgridmaster controllers

• ETAP offers both strategies as part of the DMS solution.

• Common platform for DMS and microgrid master controller makes communication easier and effortless.


ETAP Integrated DMS

Solution ArchitectureDistributed DER Management

Utility DMS

Utility ADN

Customer Microgrid

Utility ADN

Utility ADN

Customer Microgrid


Solution ArchitectureDistributed DER Management

DNODMS

CustomerMicrogridControllerSignals

Load Generation Time Duration

Real‐Time TelemetryTotal LoadingTotal Generation

PEV

DNO

DERCritical Loads

ESD


Microgrid ManagementEconomic Value Proposition

• Cost of ownership ($/kWh) ↓• C&I ↓ + O&M ↓ + Fuel ↓• C&I ↓

• Power & Thermal Optimization• Volt / Var Control Optimization

• O&M ↓• Demand Management / Peak Shaving / TOU Shifting• Fast & Optimal Load Shedding of Essential & Non‐Essential Load

• Operator Training “Go/ No Go” via Real‐Time Simulation• Fuel ↓

• Generation Optimization & Dispatch from Electrical & Thermal perspective


Benefits of MicrogridsExample ‐ LBNL

• 10 MW feeder and 6.2 MW average load. • DER installed with 3 MW peak capacity.• Microgrid cost considered to be $129,000

• Case 0 (Base Case)• No DER and Microgrid Controller

• Case 1• DER but no Microgrid Controller• Benefit of $ 15,862 / year

• Case 2• DER with Microgrid Controller• Benefit of $ 34,829 / year


Phased Approach


Integrated Solution


Microgrid Applications

ETAP Microgrid Software Applications Availability

Power System Analysis Tools Yes

State Estimation Yes

Alarm Processing & Notification Yes

Web based Thin Clients Yes

Predictive Simulation Yes

Sequence of Events Playback Yes

Data archiving & trending Yes

Energy tracking and reporting Yes

Geospatial layout of assets (optional) Yes

Switching management Yes


Microgrid Applications

ETAP Microgrid Software Applications Availability

Demand Response / Shedding Yes

Generation / Demand Forecasting Currently via Weather Service

Performance Monitoring Yes

Island Detection / Frequency Control Yes

Economic Dispatch / Fuel Only Yes

Economic Dispatch / Market Pricing In Progress

Energy storage device management Requires vendor specific data

CHP Optimization In Progress

Microturbine modeling Requires vendor specific data

Fuel Cell modeling Requires vendor specific data

Solar Thermal / CSP Requires vendor specific data

Flywheels, SMES Storage, etc. Requires vendor specific data


Key Customer Microgrids2012-2013

• ETAP Corporate Office, Irvine, USA• Solar, EV + Data Center Load

• B Braun Medical, Irvine, USA• Solar, Cogen + Critical Medical Load

• University of California, Irvine, USA• Solar, EV, Meshed Distribution + Critical Load

Increasing Complexity


University of CaliforniaIrvine Campus (UCI)


ISGD Smart Grid

Project

UCIFL

UCI Microgrid

UCI

TES

UCI Substation66kV/12kV Amonix

113kW CPV

Amonix 836 kW CPV

New 12kV Microgrid Feeder

Central Plant:8 chillers with TES

Gas turbine: 15.8 MVASteam turbine: 6.6

MVA

893kW Solar Rooftop PV

300 kW Fuel Cell and Absorption

Chiller

8 level 2 EV Chargers

180 kg/day H2Station

ZEV•NET


UC Irvine MicrogridRequirements

• Where and how do we plan additional renewable assets?• How do we measure kW and kvar available capacity,

manage load growth while maintaining system reliability?• How can we maximize generation usage and mix?• Can we safely maintain critical load given mix of generation

under islanded mode• How do we decide the optimal switching between multiple

feeders to balance feeders and loads?• Quick and easy to use model validation tools to benchmark

the microgrid model for improved decision making and situation awareness



• Include static and dynamic behavior of the microgridcomponents such as inverters, Co‐gens, fuel cells, etc.

• Optimize the overall network not just localized improvements

• Utilize real‐time, historical, and forecasted data for optimization routines

• Provides an easy to use operator interface• Complete system situational awareness using limited metering points

• Integrate with existing smart grid circuits• Optimize network under grid connected mode• Ensure critical load is running under islanded mode



• Fully integrated solution, automation with intelligence

• Single platform for monitoring and simulation reduces complexity as well as maintenance and support

• Developed under established QA program and backwards compatible.

• Cost effective solution• Unlimited points / tags license

• No additional cost



• Robust system architecture

• Scalable modular design

• Hardware independent platform

• Multi-tiered user access management

• Ultra high system availability & redundancy


Designed for Owners, Operators & Engineers

Engineers

Operators

Owners / Managers


UCI MicrogridReal-Time Microgrid Evolution

Phase 1 ‐M

odeling

Phase 1 ‐M

odeling

Develop ETAP Model

Model V&V‐ Archived Data‐ RT Data

Develop ETAP Model

Model V&V‐ Archived Data‐ RT Data Ph

ase 2 ‐D

ata Acqu

isitio

nPh

ase 2 ‐D

ata Acqu

isitio

n ISGD Smart Grid Circuits+UCI MicrogridCircuits

ISGD Smart Grid Circuits+UCI MicrogridCircuits

Phase 3 –Ba

sic App

lications

Phase 3 –Ba

sic App

lications Predictive

Analysis

Demand Management

Predictive Analysis

Demand Management Ph

ase 4 –Ad

vanced

Ap

plications

Phase 4 –Ad

vanced

Ap

plications

Generation Management

Renewable Energy Management

Generation Management

Renewable Energy Management

20132013

20142014


Smart Grid 3.0 Applications

• State & Load Estimation based on CIS / Billing Profiles• Fault level control / reduction

• Network reconfiguration• Substation reconfiguration• System islanding

• Contingency & Reliability Assessment with protection settings

• Failure Modes & Effects Analysis• Underground Raceway System thermal estimation• Power Quality analysis• Long‐term load forecast• Predictive equipment maintenance


Questions ?Product Demo?

Further Information?Tanuj Khandelwal, MSEE

Vice President, Engineering & Product Development

ETAP17 Goodyear, Suite 100

Irvine, CA 92618

[email protected](949) 462‐0100

Date post:	20-Feb-2018
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