Southern California Edison DRP Demonstration A · 2016-06-10 · Demo A Tools • CYMDist 7.2 – Distribution Modeling – Power Flow Analysis (iterative method) • SCE Load Forecasting

SOUTHERN CALIFORNIA EDISON

DRP DEMONSTRATION A

1

Overview

• DPA Selection

• ICA Methodology– Process Flow

– Criteria

• Tools

• Load Profile Methodology

• Schedule

• Implementation Plan Outline

Demo A DPA Selection

Rural DPA

Urban DPA

Demo A DPA SelectionUrban DPA Rural DPA

Substations Johanna 66/12, Camden 66/12, and

Fairview 66/12

Goshen 66/12, Hanford 66/12, Mascot

66/12, Octol 66/12, and Tulare 66/12

Area Orange County Central Valley

Service Area 18 Square Miles 120 Square Miles

Feeders 31 49

Customers 25,100 49,700

2016 Projected Load 217 MVA 314 MVA

Load Type Mixture of Residential, Commercial,

and light Industrial

Mixture of Residential and Commercial,

with Significant Agricultural

Service

Transformers

2,375 9,617

Notes Within PRP Area Load Growth Driven by Drought

Demo A – Urban DPA

Demo A - Rural DPA

ICA Process FlowSimplified SCE ICA Process Diagram

Publication of ResultsIntegration Capacity Analysis (ICA) ProcessInputs

GIS DataCreate Distribution

Circuit Models

DERiM(ICA Maps)

Loading Data (Based on

SCADA and AMI Data)

ICA Calculations

Thermal Voltage Protection Reliability

and Safety

Shapefiles

Tabular Results

Line Section Level Analysis

Feeder Level Analysis

Substation Level Analysis

Streamline AnalysisIterative Power-Flow Analysis

Perform Power Flow

Violation of ICA Criteria?

Set DER Size (kW)

Increase DER Size

(kW)

Yes

Store DER Size

(Integration

Capacity)

No

Initialize DER

Last stored Integration

Capacity

Extract Circuit Data

Pick Minimum Value

Protection Equation

Thermal Equation

Flexibility Equation

Voltage Equation

SCE plans to implement the Iterative Power Flow and the Streamlined Analysis as part of the SCE DRP Demo A

ICA MethodologyLimitation

CategoriesIterative Power Flow (IPF) Streamline (still in development)

Thermal

Ratings<=100% of thermal rating

Protection

System Limits

End-of-Line SCD to Minimum Trip

ratio > 2.3

Loading of protection grid devices

<= 75% of minimum trip settings

Power Quality

Standards

Rule 2 (114V-126V)

Voltage fluctuations < 3%

Safety

Operational flexibility, SCE is

planning to test typical switching

configuration, to be further

discussed with WG

No reverse power flow on switchable devices

Note: Furthermore, SCE believes the streamlined method needs to be modified to include a steady state voltage criteria and interaction between devices.

𝐾𝑊𝐿𝑂𝐴𝐷 𝐿𝐼𝑀𝐼𝑇 = 𝑚𝑖𝑛 Thermal Capability − 𝐿𝑜𝑎𝑑(𝑡) − 𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛(𝑡)

DERnormalized[t]

𝐾𝑊𝐺𝐸𝑁 𝐿𝐼𝑀𝐼𝑇 = 𝑚𝑖𝑛 Thermal Capabilit + 𝐿𝑜𝑎𝑑(𝑡) − 𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛(𝑡)

DERnormalized[t]

𝐾𝑊𝐿𝐼𝑀𝐼𝑇 = 10% ∗ IFault Duty ∗ kV LL ∗ 3

Fault Current DERRated CurrentDER

𝑥 PFDER

𝐾𝑊𝐿𝐼𝑀𝐼𝑇 = 3% ∗ kV LL

2

𝑅∗ PF DER +𝑋∗sin (𝑐𝑜𝑠 −1(PF DER )) 𝑥 PFDER

Demo A Tools

• CYMDist 7.2

– Distribution Modeling

– Power Flow Analysis (iterative

method)

• SCE Load Forecasting Tools /

LoadSEER

– Generate load profiles

• Python 3.4

– ICA automation and data analysis

• SAS Enterprise 9.4

– AMI data retrieval

– Statistical analysis

– Data validation

• Oracle 11g

– ICA results repository

– Post simulation analysis

• ESRI ArcDesktop (used for

DERiM)

– Visualization

• Microsoft Office (Excel and

Access)

– Data process (streamline method)

• Load profiles on distribution systems are determined by the aggregate load profiles of individual customers

• The aggregation of customer loading history from billing or advanced metering infrastructure enables profile creation from a nodal level

• Feeder level load profiles may be generated from historical data obtained via supervisory control and data acquisition systems (SCADA)

10

0

20

40

60

80

100

0.00

50.00

100.00

150.00

200.00

250.00

Feeder Level Aggregated AMI Data

Average Demand (kWh) Avg Temperature

Load profiles are generated from data

acquired from SCADA & AMI for

demonstration A.

Load Profile Methodology

Demo

A

Plan

Data & Case

Preparation

2016May

2017

Schedule for ICA Demonstration A and

ICA Development

ICA Studies Map

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Demo A

Report

• Perform ICA

studies

• Assess ICA

results

Interim

Long-

term ICA

Report

• Data prep

• Circuit

modeling &

validation

• ICA

scripting

Create

Demo A

layer in

DERiM

DPA

finalized

Revised ICA

Methodology

Demo

A

Long-

term ICA

ICA

ResultsMilestones

Final

Long-

term ICA

Report

ICA methodology enhancement

Tool enhancement

ICA

Display

ICA WGMay Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Final methodology for

Demo A

Monthly report out to ICA WG on progress and findings

Implementation Plan Outline• Executive Summary

• Demonstration Project A Scope

– DER Scenarios

– DPA Selections

• Project Implementation Plan Requirements from ACR

– Project Learning Objectives

– Revised ICA Methodology

– Load Forecasting Methodology and Tools Used to Prepare ICA

– Schedule of ICA Development

– Additional Resources

– Monitoring and Reporting Progress

– Availability of Project Files

– Comparative Assessment

– Success Metrics for ICA Evaluation