Attaining California ZNE goals with integrated communities

Attaining California ZNE goals with integrated communities

Ram Narayanamurthy

Principal Technical Leader Electric Power Research Institute (EPRI)

2 © 2013 Electric Power Research Institute, Inc. All rights reserved.

Research Imperatives

• CA goal: All new residential to be ZNE TDV by 2020 – What happens with large communities (5000+) with

PV and low energy use clustered on single feeders •  Impact of TDV on PV size PV sizing

•  How to communicate to buyers Builder Marketing

•  Greater impact of behavioral loads Influence of plug loads

•  Impact of +/- variability on feeders Impact on distribution feeders

•  EMS technologies for balancing Enabling technologies for grid management

•  Optimal integration (res. vs. comm.) Storage and Demand Response for distribution


Example of Technology Demonstration Energy Storage Application for an Integrated Grid

Peak Shaving

Load Shifting

Voltage Control

PV Smoothing


Example of Technology Demonstration Using DER for load shaping

– Conduct detailed distribution level analysis for high penetration ZNE

– Evaluate and demonstrate optimal location of Energy Storage in ZNE communities

– Develop integrated modeling approach to integrate building and distribution models

Funded by CPUC and SCE

Evaluate widespread development of ZNE community using grid integration strategies

– Demonstrate new technologies and strategies that enable cost effective ZNE homes and resulting high PV adoption


Grid Modernization

System Operator Solutions Interactive Solutions DER-Owner

Solutions

Network Reinforcement Price-Based Demand Response

Distributed Storage (customer system)

Centralized Voltage Control Direct Load Control Self-Consumption

Static VAR Compensators On-Demand Reactive Power Power Factor Control

Distributed Storage (distribution system) On-Demand Curtailment Direct Voltage Control

Network Reconfiguration Wide-Area Voltage Control Frequency-based Curtailment

The coordinated assessment of technology combination across different types of distribution system feeders is needed


Rob Hammon, Ph.D.

Primary partners

California Solar Initiative (CSI) Research, Development, Demonstration and Deployment Program (RD&D)

Ram Narayanamurthy Arindam Maitra

Ben Kaun

Ishtiaq Chisti Jerine Ahmed

Will Vicent C.R.Herro


1. Developing ZNE community


Construct and market 50 ZNE homes

• Evaluate ZNE packages based on Zero Time Dependent Value (TDV) of energy

• Builder partner, Meritage Homes (US’s 8th largest builder) will develop a full subdivision using final, consensus package

• Monitor individual homes and the entire subdivision


ZNE Home Performance Evaluation & Monitoring

• Lack of component level data at individual homes with finer resolution • No defined load shape and highly variable gross and net loads

Utilize HEMS tools, California Building Energy Complaince Code (CBECC), NREL building energy

optimization tools, and Homer


EMS Command and Control • Evaluate and Demonstrate EMS Load

Balancing Capabilities: –  Monitor and control loads, PV and

storage –  Consumer preference –  Communicate with community storage

• Evaluate and Demonstrate EMS Control and Integration of DR: –  Develop operating strategies;

communicate to end-loads –  Operational flexibility - Major end-loads capable (or

simulated to) respond to control signals - Occupant & System Priorities

Default behavioral setting for load management

Consumers set temperature limits –use for DR strategy


2. Distributed Energy Storage System – Application and Evaluation


Compare storage location for system benefits

• Evaluate impact and cost effectiveness of storage located at residential level vs. neighborhood level

• Using Energy Storage Valuation Tool (ESVT), model services provided by both approaches and their benefit


Evaluate Grid Impacts St

orag

e L

ocat

ion

scen

ario

s

Stor

age

Size

cas

e

Peak

(kW

)

Tim

e ab

ove

Peak

Sha

ving

(min

)

MW

h su

pplie

d ab

ove

peak

sh

avin

g

Feed

er L

oses

(MW

)

Feed

er C

onsu

mpt

ion

(MW

h)

M

ax V

olta

ge (p

u)

Tim

e ab

ove A

NSI

(sec

)

Min

Vol

tage

(pu)

Tim

e be

low

AN

SI (s

ec)

Tap

Ope

ratio

ns

Cap

acito

r op

erat

ions

Max

imum

PC

C v

olta

ge

Min

imum

PC

C v

olta

ge

Mea

n PC

C v

olta

ge

Vari

abili

ty in

dex

at P

CC

No Storage

#1 #1

#2 #1

#3 #1

#4 #1

#5 #1

#6 #1


3. Modeling approach and distribution impact analysis


Field data collection from ZNE community and feeder analysis

• A common situation with ZNE communities is a cluster of communities at ends of feeder lines (where there is open space)

• Create community level load shape models

• Impact/Value Studies of ZNE communities

• Use ZNE community data to evaluate impact with various feeder configurations

• Use feeder modeling results to guide utility guidelines for end use loads in ZNE buildings


Feeder Impact Analysis: Scenario Development, Analysis, Model Validation with Montioring Data

• 1000’s of feeders

• Clustering of feeder data characteristics

• Select smaller subset of feeders for detailed feeder analysis

Utilize OpenDSS for feeder analysis


Develop Utility Guidelines for ZNE Communities

• Clearly-defined technical requirements for integration of different DER components for wide scale adoption of ZNE communities

• Develop ZNE community guidebook and integration practices -  Use monitoring data from the field trials to

evaluate & validate models -  Use feeder modeling results to guide ZNE

deployment and integration within distribution

•  Align project results with existing utility ZNE roadmaps

Instant variability

Voltage control at distribution


Together…Shaping the Future of Electricity

Attaining California ZNE goals with integrated communities

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