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© 2016 Electric Power Research Institute, Inc. All rights reserved. Jeffrey D. Roark Technical Executive Power Delivery & Utilization, EPRI Energy Policy Roundtable September 28, 2016 Time and Locational Value of Distributed Energy Resources: Methods & Applications

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© 2016 Electric Power Research Institute, Inc. All rights reserved.

Jeffrey D. RoarkTechnical Executive

Power Delivery & Utilization, EPRIEnergy Policy Roundtable

September 28, 2016

Time and Locational Value of Distributed Energy Resources:

Methods & Applications

2© 2016 Electric Power Research Institute, Inc. All rights reserved.

EPRI’s Study: “Time and Locational Value of DER: Methods and Applications” Used the EPRI Benefit-Cost Framework

– Objective, reproducible– Assesses impacts of interconnected DER – Estimates value/cost to society

Two DER Interconnection Scenarios– DER only to meet all load growth– DER at customer discretion

Modeled Actual Systems– Two systems: Con Edison Mesh

and SCE Flexible Radial – Studied 10-year period to align

with distribution planning timeframe

Asks whether DER can economically replace or avoidinvestments otherwise needed to accommodate growth.

Note: Companion study conducted by Sue Tierney, The Analysis Group. “The Value of “DER” to “D”: The Role of Distributed Energy Resources in Supporting Local Electric Distribution Reliability.”

3© 2016 Electric Power Research Institute, Inc. All rights reserved.

121 24 Hours

kW

Concept: Deferral of Distribution Upgrades with DER

Current Demand

Forecasted Demand

Network Capacity Expansion

Current Network Capacity

Traditional Approach

• Expand infrastructure to keep up with load growth

4© 2016 Electric Power Research Institute, Inc. All rights reserved.

Thousands of customer‐sited 

solutions

Concept: Deferral of Distribution Upgrades with DER

• Assemble a portfolio of DER technologies to shave peak.• Peak load duration matters.

Current Network Capacity

DER Portfolio Approach

121 24 Hours

kW

Current Demand

Forecasted Demand

5© 2016 Electric Power Research Institute, Inc. All rights reserved.

Study assembled DER portfolios based on technology, customer, and system load-curve characteristics for both Con Edison and Southern California Edison

Energy Efficiency

DRPV

CHP

Fuel CellStorage

Con Edison Case Study Portfolio

Time

SCE Case Study Portfolio

Energy Efficiency

Demand Response

Solar PV

Storage

Two very different portfolios demonstrate the methodology.

6© 2016 Electric Power Research Institute, Inc. All rights reserved.

Mesh Network System (Con Edison)

The Systems: Mesh Network vs. Flexible Radial Topologies

Two very different systems demonstrate the methodology.

138 kV Transmission Supply

26.4 kV Distribution

LOAD

LOW-VOLTAGE GRID NETWORK(MESHED)

FEEDERS

Flexible Radial System(SCE)

7© 2016 Electric Power Research Institute, Inc. All rights reserved.

Neighboring transformer

Neighboring transformer

Overloaded Transformer

Network systems present challenges when targeting DER to address specific distribution violations

Network System: Multi-directional Power Flows

Locational SensitivityOverloaded Transformer

A DER energy disperses from point A.

Simple Radial System: Unidirectional Power Flows

B

C

A

BC

DER energy directly reduces transformer flow

whether at A, B, or C.

Effectiveness degradeswith distance.

Distance

∆Flow

8© 2016 Electric Power Research Institute, Inc. All rights reserved.

EPRI modeling reveals significant locational sensitivity in the local distribution system

340 kW

Network

Transformer

a

b

a b

DER

cap

acity

(kW

)

NYCOverload – 63 kVA

In the network, DER portfolios must be tightly situated near the distribution

violation to be effective at relieving it.

Overload – 63 kVA

153 kW

9© 2016 Electric Power Research Institute, Inc. All rights reserved.

Economic Evaluation of Alternative Distribution PlansModeling Assumptions

and Outputs

Distribution-system/feederEnergy growthLoad shape

One of:10-year distribution upgrade plans to satisfy voltage, capacity, and protection constraints

Economic Analysis Outputs

Load Cost ($/kWhgrth)

Cost of serving load growth:• Energy cost (load and losses)

• Capacity cost• Carbon cost

Accom-modation($/kWhgrth)

Cost of distribution upgrades:• Asset ownership costs

(revenue requirements)• O&M costs

Cost and value of DER:• Equipment cost

(Utility procurement)• Net energy value• Loss-reduction value• Carbon-reduction value• Avoided capacity value

10-year DER plans to satisfy voltage, capacity, and protection constraints

Bulk-system characteristicsLMP & Carbon cost ratesCapacity cost rates

Incremental Cost to Serve

Growth in Load

($/kWhgrth)

Cost Normalized to Load Energy Growth

In this study we estimated the cost to serve load growth.

10© 2016 Electric Power Research Institute, Inc. All rights reserved.

Comparison of Costs for Con Edison Portfolio and Mesh Distribution Network w/No Headroom

Cost to Meet Load Growth –Traditional Utility Solution

Cost to Meet Load Growth –DER Solution No Headroom

DER solution’s net cost is slightly higher than traditional solution,but leaves the circuit with no headroom.

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11© 2016 Electric Power Research Institute, Inc. All rights reserved.

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Comparison of Costs for Con Edison Portfolio and Mesh Distribution Network w/10% Headroom

Cost to Meet Load Growth –Traditional Utility Solution

Cost to Meet Load Growth –DER Solution 10% Headroom

Providing similar headroom with DER was more expensive, caused in part by greater dispersion of DER energy.

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12© 2016 Electric Power Research Institute, Inc. All rights reserved.

Comparison of Costs for SoCal Edison Portfolio and Flexible Radial System

Cost to Meet Load Growth –Traditional Utility Solution

Cost to Meet Load Growth –DER Solution Preserving Flexibility

The normalized cost of the DER portfolio in the SCE case was substantially higher and its energy contribution less.

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Cost to Meet Load Growth –DER Solution Without Preserving Flexibility

13© 2016 Electric Power Research Institute, Inc. All rights reserved.

Time and Location Value of DER: Conclusions from Study

Time and locational impacts are key determinants in valuing DER.

It is hard to generalize the net benefits of DER as an alternative to conventional grid.

Comprehensive, consistent, and transparent methods are requiredfor consistent and sensible results.

14© 2016 Electric Power Research Institute, Inc. All rights reserved.

Questions?

Together…Shaping the Future of Electricity

Jeffrey D. RoarkTechnical ExecutiveElectric Power Research Institute3379 Lakewind WayAlpharetta, GA [email protected]