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PJM©2019 Operations Report www.pjm.com Hong Chen Senior Lead Engineer, Markets Coordination MC Information Webinar April 22, 2019

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Page 1: Operations Report - PJM

PJM©2019

Operations Report

www.pjm.com

Hong Chen

Senior Lead Engineer, Markets Coordination

MC Information Webinar

April 22, 2019

Page 2: Operations Report - PJM

PJM©2019 2

Load Forecasting Error (Achieved 80% of the Time)

www.pjm.com

1.58

1.40

3.08

3.40

2.38

1.98

3.10

1.98

1.90

2.58

1.98

2.04

1.69

1.48

2.05

1.69

1.70

1.68

1.26

1.57

1.88

1.66

1.84

2.08

2.44

1.49

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

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

Fore

cast

Err

or (

Abso

lute

%)

On-Peak

Off-Peak

Average

3% Line

20192018

Page 3: Operations Report - PJM

PJM©2019 3 www.pjm.com

PJM RTO Load Forecasting Analysis

Average RTO load forecast error performance for March was 1.59%,

within the goal of 3%.

Page 4: Operations Report - PJM

PJM©2019 4 www.pjm.com

Peak Load Forecasting Error Outlier Days

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

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

Fore

cast

Err

or (

Abso

lute

%)

20192018

04/13/18

05/07/18

08/06/1810/30/18

09/10/18

11/09/18

12/23/18 01/31/19

02/02/1903/13/19

03/06/18

06/07/18

07/30/18

Page 5: Operations Report - PJM

PJM©2019 5 www.pjm.com

Peak Load Average Forecast Error by Zone

RTO MIDATL AP CE AEP DAY DUQ DOM ATSI DEOK EKPC

1.7% 3.8%

2.3% 3.5%

3.2%

2.1% 1.6% 2.2% 1.4%3.6%

Quarter2017 Q1 1.0% 1.6% 2.1% 1.6% 1.8%

2.2% 4.4% 2.7% 2.5% 2.0% 4.8%2.8% 2.7% 3.0%

2.0% 3.7%2017 Q2 1.3% 1.8% 2.2% 2.2%

3.5%2.2% 3.0% 3.0% 2.4% 2.8% 3.5%3.6%

2.1% 2.3%2.4% 2.3%2017 Q3 1.9%2017 Q4 1.1% 1.5% 2.2% 1.6% 2.4% 2.5%

2018 Q2 1.5% 2.4% 2.3% 2.9% 3.7%2.1% 1.9% 1.5% 2.8% 1.3%2.5% 3.0% 2.9% 2.5% 2.3% 3.4%

2018 Q1 1.3% 2.1% 2.0% 1.5%

1.5% 2.0%2018 Q3 1.6%

3.3%2.1% 3.2% 3.4% 2.4% 2.8% 3.7%

2018 Q4 1.3% 1.5% 2.3% 1.7% 2.1% 2.3% 2.0% 2.2%2.5% 2.6% 3.5%

1.9% 1.6% 1.7% 2.2% 1.5%2019 Q1 1.2% 1.6% 2.5% 1.8%

Page 6: Operations Report - PJM

PJM©2019 6 www.pjm.com

Monthly BAAL Performance Score

PJM’s BAAL performance has exceeded the goal of 99% for each month in 2019.

99.8 99.8 99.8 99.8 99.899.9

99.899.9 99.9 99.9 99.9 99.9 99.9

45 4251

4033

29 30 30

15 15

25

13

41

99

76

101106

91

48

88

46

30 29

63

36

66

0

20

40

60

80

100

120

140

160

96

97

98

99

100

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

Excu

rsio

ns a

nd M

inut

es

Oper

atio

ns M

etric

(%)

Operations Metric (%)

Excursions Outside Limits

Minutes Outside Limits

2018 2019

Page 7: Operations Report - PJM

PJM©2019 7 www.pjm.com

• Two spinning events in the month of March

• Six sharing events with the Northeast Power Coordinating Council (NPCC)

• The following Emergency Procedures occurred in March:

– 18 Post-Contingency Local Load Relief Warnings (PCLLRW)

– 1 Cold Weather Event

Emergency Procedure Summary

Page 8: Operations Report - PJM

PJM©2019 8 www.pjm.com

RTO Generation Outage Rate - Monthly

The 13-month average forced outage rate is 4.10% or 8,609 MW.

The 13-month average total outage rate is 15.08% or 31,764 MW.

0

5

10

15

20

25

30

3/1/2018 5/1/2018 7/1/2018 9/1/2018 11/1/2018 1/1/2019 3/1/2019

Forced Outage Average (%)Total Outage Average (%)

0

10,000

20,000

30,000

40,000

50,000

60,000

3/1/2018 5/1/2018 7/1/2018 9/1/2018 11/1/2018 1/1/2019 3/1/2019

Forced Outage Average (MW)Total Outage Average (MW)

Page 9: Operations Report - PJM

PJM©2019 9 www.pjm.com

2018-2019 Planned Emergency, Unplanned

Transmission Outage Summary, and Total

Note: “Unplanned Outages" include tripped facilities. One tripping event may involve multiple facilities.

0

500

1000

1500

2000

2500

3000

3500

4000

Num

ber o

f Out

age

Tick

ets

TotalUnplanned Outages (greater than 2 hrs)Planned Emergency

Page 10: Operations Report - PJM

PJM©2019 10 www.pjm.com

PCLLRW Count Vs. Peak Load – 3 Months

0

1

2

3

4

5

70

80

90

100

110

120

130

140

Jan 2019 Feb 2019 Mar 2019

RTO Peak Load

PCLLRW Count

Page 11: Operations Report - PJM

PJM©2019 11 www.pjm.com

Spin Response

Event Date Start Time End Time Duration Region Tier 1 Estimate (MW) Tier 1 Response (MW)

1 03/03/19 12:31 12:40 00:09 RTO 2915.2 1332.2

2 03/06/19 22:06 22:15 00:09 RTO 1874.2 811.9

Event Date Start Time End Time Duration Region Tier 2 Assigned (MW) Tier 2 Response (MW) Tier 2 Penalty (MW)

1 03/03/19 12:31 12:40 00:09 RTO 70.0 70.0 0

2 03/06/19 22:06 22:15 00:09 RTO 738.1 738.1 0

Page 12: Operations Report - PJM

PJM©2019 12 www.pjm.com

Perfect Dispatch – Performance

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2019 Perfect Dispatch Performance - March 2019

2019 Daily Performance

2019 YTD Performance

2018 YTD Performance

2017 YTD Performance

Page 13: Operations Report - PJM

PJM©2019 13 www.pjm.com

Perfect Dispatch – Performance

$0

$100

$200

$300

$400

$500

$600

$700

$800

$900

$1,000

$1,100

$1,200

$1,300

$1,400

$1,500

$0

$4

$8

$12

$16

$20

$24

$28

$32

2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2 4 6 8 1012 2

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Cum

ulat

ive

Prod

uctio

n Co

st S

avin

gs ($

in M

illio

ns)

Mon

thly

Pro

duct

ion

Cost

Sav

ings

($ in

Mill

ions

)

Month/Year

Perfect Dispatch Estimated Production Cost Savings Through March 2019

Monthly Production Cost Savings

Cumulative Production Cost Savings

Page 14: Operations Report - PJM

PJM©2019 14 www.pjm.com

Perfect Dispatch Analysis

The year-to-date Perfect Dispatch performance score through March

2019 is 88.21%.

The estimated cumulative production cost savings through March 2019

is over $1.4 billion with over $29 million in savings in 2019.

Page 15: Operations Report - PJM

PJM©2019 15 www.pjm.com

Appendix

Page 16: Operations Report - PJM

PJM©2019 16 www.pjm.com

Peak Load Average Forecast Error by Zone

0

1

2

3

4

5

RTO MIDATL AP CE AEP DAY DUQ DOM ATSI DEOK EKPC

Fore

cast

Err

or (

Abso

lute

%)

20192017

2017 Q42018 Q12018 Q22018 Q32018 Q42019 Q1

2017 Q12017 Q22017 Q3

Page 17: Operations Report - PJM

PJM©2019 17

Goal Measurement: Balancing Authority ACE Limit (BAAL)

• The purpose of the new BAAL standard is to maintain interconnection frequency within a predefined frequency profile under all conditions (normal and abnormal), to prevent frequency-related instability, unplanned tripping of load or generation, or uncontrolled separation or cascading outages that adversely impact the reliability of the interconnection. NERC requires each balancing authority demonstrate real-time monitoring of ACE and interconnection frequency against associated limits and shall balance its resources and demands in real time so that its ACE does not exceed the BAAL (BAALLOW or BAALHIGH) for a continuous time period greater than 30 minutes for each event.

• PJM directly measures the total number of BAAL excursions in minutes compared to the total number of minutes within a month. PJM has set a target value for this performance goal at 99% on a daily and monthly basis. In addition, current NERC rules limit the recovery period to no more than 30 minutes for a single event.

www.pjm.com

Balancing Authority ACE Limit - Performance Measure

Page 18: Operations Report - PJM

PJM©2019 18 www.pjm.com

RTO Generation Outage Rate - Daily

0

5

10

15

20

25

30

35

3/1/2018 5/1/2018 7/1/2018 9/1/2018 11/1/2018 1/1/2019 3/1/2019

FORCED OUTAGE RATE (%)TOTAL OUTAGE RATE (%)

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

3/1/2018 5/1/2018 7/1/2018 9/1/2018 11/1/2018 1/1/2019 3/1/2019

FORCED OUTAGE RATE (MW)TOTAL OUTAGE RATE (MW)

The 13-month average forced outage rate is 4.10% or 8,609 MW.

The 13-month average total outage rate is 15.08% or 31,764 MW.

Page 19: Operations Report - PJM

PJM©2019 19 www.pjm.com

Perfect Dispatch refers to the hypothetical least production cost commitment and Dispatch, achievable only if all system conditions (load

forecast, unit availability / performance, interchange, transmission outages, etc.) were known and controllable in advance. While being

hypothetical and not achievable in reality, this is useful as a baseline for performance measurement.

The Perfect Dispatch performance goal is designed to measure how well PJM commits combustion turbines (CTs) in real time operations

compared to a calculated optimal CT commitment profile.

The Perfect Dispatch performance measure is calculated as 100% x (The accumulative year-to-date optimal CT production cost in

Perfect Dispatch / The accumulative year-to-date actual real-time CT production cost).

The Perfect Dispatch performance goal was removed as a goal beginning in 2015. Currently Perfect Dispatch does not have a

performance goal, but the metric will continue to be tracked.

The cumulative Estimated Production Cost Savings helps to demonstrate the savings that result from PJM’s process changes since the

inception of the Perfect Dispatch analysis in 2008. This estimate is determined by comparing the Perfect Dispatch performance for all

resources to benchmarks set at the beginning of the Perfect Dispatch analysis. A benchmark of 98.18% is used for comparison of the

2019 metric which is 99.16% through the end of March.

Perfect Dispatch – Performance Measure