UFE 2003 Analysis June 1, 2005 1 UFE 2003 ANALYSIS Compiled by the Load Profiling Group ERCOT Energy Analysis & Aggregation June 1, 2005.

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Presentation transcript:

UFE 2003 Analysis June 1, UFE 2003 ANALYSIS Compiled by the Load Profiling Group ERCOT Energy Analysis & Aggregation June 1, 2005

UFE 2003 Analysis June 1, LOAD AND UFE – ERCOT PEAK 2003 Based on True-up Settlement This is a graph of load and UFE on the Peak Day in 2003.

UFE 2003 Analysis June 1, UFE Basics Sources of UFE include: ■ Generation Measurement Errors ■ Load - Missing/Erroneous Usage Data - Model Error - Load Profile ID Assignment Error ■ Losses -Model Error - Loss Code Assignment Error  Negative UFE indicates load/losses are overestimated  UFE (unaccounted for energy) is computed as follows: UFE = Generation – (Load + Losses)

UFE 2003 Analysis June 1, UFE Basics Net Generation for Settlement Interval Interval Data Energy Usage Profiled Energy Usage Non-Interval Data Non-Metered Accounts Losses: Transmission & Distribution UFE GAP > Net Generation Compared to Load Buildup

UFE 2003 Analysis June 1, DATA VERIFICATION IN THE SETTLEMENT PROCESS UFE is computed for each 15-minute interval of a settlement run. Initial Final Settlement True-Up Initial Settlement (17 days after the trade day) Final Settlement (59 days after the trade day) True-up and Resettlement (6 months to up to several years after the trade day.) The latest resettlement in each interval is used in the analysis for Initial, Final and True-Up.

UFE 2003 Analysis June 1, UFE Mwh by Month SR01

UFE 2003 Analysis June 1, Cumulative UFE Mwh by Month SR02

UFE 2003 Analysis June 1, STATISTICAL RESULTS SR03

UFE 2003 Analysis June 1, STATISTICAL RESULTS CONTINUED  2002 UFE has a negative bias across all settlements.  2003 UFE has a negative bias for Initial and final Settlement, positive bias for True-up.  2003 UFE for True-up has a mean of 0.5% and a median of 0.2% as compared to -1.6% and -1.8% respectively for  Mean and Median UFE values are similar indicating the UFE distributions are not skewed.  From Initial to Final thru True-Up settlements, UFE gets closer to 0 indicating more complete usage data improves UFE. SR04

UFE 2003 Analysis June 1, Generation Differences Between Initial and Final Settlements 8.4% of the intervals had Initial to Final differences greater than 100 MW Differences greater than 300 MW occurred for 1.0 % of the intervals GDF01

UFE 2003 Analysis June 1, Generation Differences Between Final and True-Up Settlements GDF02 5.5% of the intervals had Final to True-Up differences greater than 100 MW Differences greater than 300 MW occurred for 0.1 % of the intervals

UFE 2003 Analysis June 1, Generation Differences Between Initial and True-Up Settlements GDF % of the intervals had Initial to True-Up differences greater than 100 MW Differences greater than 300 MW occurred for 2.5 % of the intervals

UFE 2003 Analysis June 1, GDF04 Change in Generation between Settlements

UFE 2003 Analysis June 1, UFE shifts in a positive direction from Initial to Final. UFD Percent Distribution of UFE MW – Initial to Final

UFE 2003 Analysis June 1, Percent Distribution of UFE MW - Final to True-Up UFE continues to move in a positive direction from Final to True-Up. UFD02

UFE 2003 Analysis June 1, Distribution of UFE Percent of ERCOT Load The UFE percent moves in a positive direction from Initial to Final thru True-Up. UFD03

UFE 2003 Analysis June 1, Statistical Studies by Week – Initial Settlement 95% Confidence Interval CIP01

UFE 2003 Analysis June 1, Statistical Studies by Week – Final Settlement 95% Confidence Interval CIP02

UFE 2003 Analysis June 1, Statistical Studies by Week – True-Up Settlement 95% Confidence Interval CIP03

UFE 2003 Analysis June 1, CIP04 Statistical Studies by Week – Median Comparison 95% Confidence Interval

UFE 2003 Analysis June 1, Statistical Studies by Week General Observations The UFE Percent of ERCOT Load graphs indicate UFE as a percent of load varies over a wide range between the Median, the 5 th Percentile and 95 th Percentile. The difference between the Median, the 5 th Percentile and 95 th Percentile decreases from Initial to Final through True-Up settlements. For all settlements there is a well-defined cyclical component across all days of the week. UFE is negative during the off-peak hours and positive during on-peak hours. Median values move in a positive direction from Initial to Final through True-Up settlements across all days of the week indicating settlements based on more complete usage data result in a reduction in the over-estimation of load. CIP05

UFE 2003 Analysis June 1, Seasonal Comparison - Spring 2003 UFE Percent of ERCOT Load and ERCOT Load SEA01

UFE 2003 Analysis June 1, Seasonal Comparison - Summer 2003 UFE Percent of ERCOT Load and ERCOT Load SEA02

UFE 2003 Analysis June 1, Seasonal Comparison - Fall 2003 UFE Percent of ERCOT Load and ERCOT Load SEA03

UFE 2003 Analysis June 1, Seasonal Comparison - Winter 2003 UFE Percent of ERCOT Load and ERCOT Load SEA04

UFE 2003 Analysis June 1, SEA05 Seasonal Comparison of Medians – Initial Settlement UFE Percent of ERCOT Load

UFE 2003 Analysis June 1, SEA06 Seasonal Comparison of Medians – Final Settlement UFE Percent of ERCOT Load

UFE 2003 Analysis June 1, SEA07 Seasonal Comparison of Medians – True-Up Settlement UFE Percent of ERCOT Load

UFE 2003 Analysis June 1, Percent UFE vs ERCOT Load Initial Settlement MPL01

UFE 2003 Analysis June 1, Percent UFE vs ERCOT Load Final Settlement MPL02

UFE 2003 Analysis June 1, Percent UFE vs ERCOT Load True-Up Settlement MPL03

UFE 2003 Analysis June 1, Comparison of Median Percent UFE Initial, Final and True-Up Up Settlements MPL04

UFE 2003 Analysis June 1, General Observations Percent UFE vs ERCOT Load UFE = Generation – (Load + Losses) There is a statistically significant relationship between load and UFE. There is wide variability between the median, 5th and 95th percentiles of percent UFE for initial and final settlements. Variability decreases dramatically for the true up settlements. As load increases, median UFE for all settlements moves in a positive direction indicating (Load + Losses) are over estimated at low load intervals and are progressively more under estimated as load increases. UFE shifts in a positive direction from initial to final thru true-Up settlements indicating settlements based on more complete usage data result in a reduction in the over-estimation of load. UFE is closest to zero between 30,000 to 40,000 MW. UFE for Initial settlement becomes worse than UFE for Final settlement at approximately 38,000 MW of ERCOT load. Similarly, UFE for Final settlement becomes worse than UFE for True-Up at approximately 34,000 MW of ERCOT load. MPL05

UFE 2003 Analysis June 1, There is a well-defined cyclical component across all days of the week however the UFE cycles are out of phase with the load cycles as illustrated in the graph below. General Observations Continued Percent UFE versus ERCOT Load MPL06

UFE 2003 Analysis June 1, Percent Transmission Plus Distribution Losses versus Total ERCOT Load MPL07

UFE 2003 Analysis June 1, MPL08 Percent Distribution Losses versus Total ERCOT Load – NOIE Load – Transmission Losses

UFE 2003 Analysis June 1, MPL09 Percent Transmission Losses versus Total ERCOT Actual Load

UFE 2003 Analysis June 1,  UFE costs are calculated by multiplying the UFE (MWH) times the Market Clearing Price for Load (MCPEL)($/MWH) for each 15-minute interval in  MCPEL is a function of Congestion Zone. MCPEL is the same across all Congestion Zones if there is no congestion.  The means of dollars indicate relative magnitude. The sums of dollars indicate where dollars are going.  The CM Zones for 2003 are: Houston, North, South and West  UFE cost values per interval are calculated for: positive and negative UFE the absolute value of UFE the net value of UFE.  Median UFE cost studies include: Seasonal as defined in the Profile Assignment Decision Tree  Spring: March 1 – April 30  Summer: May 1 – September 30  Fall: October 1 – November 30  Winter: December 1 – February 28 Monthly Hour of the week. UFE Cost Analysis by Congestion Management Zone UCT01

UFE 2003 Analysis June 1, UFE Cost by Month and CMZone UCT02

UFE 2003 Analysis June 1, UFE Cost by Month across all CMZones UCT03

UFE 2003 Analysis June 1, Absolute Value UFE Cost by Month and CMZone UCT04

UFE 2003 Analysis June 1, Net UFE Cost by Month and CMZone UCT05

UFE 2003 Analysis June 1, ERCOT Total Cumulative UFE Cost across the Year UCT06

UFE 2003 Analysis June 1, Sum of Dollars from Positive UFE UCT07

UFE 2003 Analysis June 1, Sum of Dollars from Negative UFE UCT08

UFE 2003 Analysis June 1, UCT09 Sum of Dollars from Absolute Value of UFE

UFE 2003 Analysis June 1, Sum of Dollars from Net UFE UCT10

UFE 2003 Analysis June 1, UCT11 SUM of UFE Dollars – All Seasons Positive and Negative UFE

UFE 2003 Analysis June 1, SUM of UFE Dollars – Spring Positive and Negative UFE UCT12

UFE 2003 Analysis June 1, UCT13 SUM of UFE Dollars – Summer Positive and Negative UFE

UFE 2003 Analysis June 1, UCT14 SUM of UFE Dollars – Fall Positive and Negative UFE

UFE 2003 Analysis June 1, UCT15 SUM of UFE Dollars – Winter Positive and Negative UFE

UFE 2003 Analysis June 1, UCT16 SUM of UFE Dollars – All Seasons Absolute Value and Net UFE

UFE 2003 Analysis June 1, SUM of UFE Dollars – Spring Absolute Value and Net UFE UCT17

UFE 2003 Analysis June 1, UCT18 SUM of UFE Dollars – Summer Absolute Value and Net UFE

UFE 2003 Analysis June 1, UCT19 SUM of UFE Dollars – Fall Absolute Value and Net UFE

UFE 2003 Analysis June 1, UCT20 SUM of UFE Dollars – Winter Absolute Value and Net UFE

UFE 2003 Analysis June 1, Mean of UFE Dollars – All Seasons Positive and Negative UFE UCT21

UFE 2003 Analysis June 1, UCT22 Mean of UFE Dollars – Spring Positive and Negative UFE

UFE 2003 Analysis June 1, UCT23 Mean of UFE Dollars – Summer Positive and Negative UFE

UFE 2003 Analysis June 1, UCT24 Mean of UFE Dollars – Fall Positive and Negative UFE

UFE 2003 Analysis June 1, UCT25 Mean of UFE Dollars – Winter Positive and Negative UFE

UFE 2003 Analysis June 1, Mean of UFE Dollars – All Seasons Absolute Value and Net UFE UCT26

UFE 2003 Analysis June 1, UCT27 Mean of UFE Dollars – Spring Absolute Value and Net UFE

UFE 2003 Analysis June 1, UCT28 Mean of UFE Dollars – Summer Absolute Value and Net UFE

UFE 2003 Analysis June 1, UCT29 Mean of UFE Dollars – Fall Absolute Value and Net UFE

UFE 2003 Analysis June 1, UCT30 Mean of UFE Dollars – Winter Absolute Value and Net UFE

UFE 2003 Analysis June 1, RESULTS and CONCLUSIONS The total dollars for the absolute value of UFE in 2003 amounted to $307 million. The net UFE amounted to $157 million. During 2003, there was a strong daily cyclical component to median UFE (related to load). Median UFE tends to be negative during the off-peak intervals and positive during on-peak intervals. This pattern is similar for all days of the week. Median UFE tends to be negative during low load intervals and moves in a positive direction as load increases. Median UFE values move in a positive direction from initial to final thru true- up indicating settlements based on more complete usage data result in a reduction in the over-estimation of load. There is less variance in UFE for true-up settlements when compared to initial and final settlements. The pattern of median UFE is significantly different across seasons.

UFE 2003 Analysis June 1,  Continue with Load Research Project (PUCT Project 25516)  Improve Profile ID assignment process  Continue to improve usage data loading accuracy and timeliness  Increase the number of IDR’s  Evaluate Lagged Dynamic sampling techniques and their application to the ERCOT System  Continue to evaluate improvements to algorithms for missing IDR and NIDR data estimation  Continue to make improvements to loss estimations  Explore alternative methods for UFE allocation UFE Zones By Substation Assignment By Weather Zone RECOMMENDATIONS