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Converting Demand Side Operation in to an Accurate Tool for the Transmission System Operator - REE Research and Results

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Presented by Carmen Rodriguez, REE, Spain at the IEA DSM Programme workshop in Madrid, Spain on 19 October 2005.

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Converting Demand Side Operation in to an Accurate Tool for the Transmission System Operator - REE Research and Results

  1. 1. Converting Demand Side Operation in an accurate tool for the Transmission System Operator REE Research and Results II Madrid forum on Demand Side Operation, DSO Oct 19 2005 Carmen Rodríguez Villagarcía Carmenrodri@ree.es DE ESPAÑA RED ELÉCTRIC A
  2. 2. 1 ¿What will be DSM and DSO? 2 Fixing overhead objectives 3 Prospecting 4 Evaluation of DSO resources 5 Implementing infrastructure
  3. 3. 1. ¿What will be DSM and DSO?
  4. 4. Converting Demand Side Operation in a Resource of the Transmission System Operation 4 RED ELÉCTRICA DE ESPAÑA TRIGERS THP tariff , dissuading price industrial consumer’s response 0 20 40 60 80 100 120 140 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hours MW Steel Paper Glass Siderurgy
  5. 5. Converting Demand Side Operation in a Resource of the Transmission System Operation 5 RED ELÉCTRICA DE ESPAÑA TRIGERS
  6. 6. Pay attention 5. ¿What will be DSM and DSO?
  7. 7. 5. ¿What will be DSM and DSO? Ilustración 1: Estado de la red tipo 10 - Diurno laborable de primavera exportador
  8. 8. Converting Demand Side Operation in a Resource of the Transmission System Operation 8 RED ELÉCTRICA DE ESPAÑA Converting Demand Side Operation in an accurate tool for the Transmission System Operator DSO is been considered by REE as an alternative resource to provide system margin scarcity, bottleneck solutions and other system services as technical balance. It has important advantages Positive environmental effect Minor energetic cost Reduced electric cost for the provider costumer Nevertheless, there is a lot of work to do inside and outside the company in order to get accurate tools that can be operated in the control room and considered in the network planning.
  9. 9. 2. Fixing overhead objectives
  10. 10. Converting Demand Side Operation in a Resource of the Transmission System Operation 10 RED ELÉCTRICA DE ESPAÑA Priorities Quick population and economic growth 1. Provide local system margin, at least until new network or plants are in place 2. Energy saving at day time demand Perfil horario de la potencia transportada en la línea GABIAS - CAPARACENA del día laborable medio de verano (Junio y Julio) 0 50 100 150 200 250 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 HORA MVA Southern line saturation in a average summer labour day Number of household growth index number 2000/2005 2017/2005 Populated areas Rest of SpainMW hours Source: INE
  11. 11. Converting Demand Side Operation in a Resource of the Transmission System Operation 11 RED ELÉCTRICA DE ESPAÑA Priorities High increase on reactive power consumption on cooling, fridge and freezers 3. Provide distributed compensation management capacity 4. Reduce reactive power consumption on the appliances. hours Active and reactive energy hourly consumed on a domestic fridge
  12. 12. 2. Prospecting
  13. 13. Converting Demand Side Operation in a Resource of the Transmission System Operation 13 RED ELÉCTRICA DE ESPAÑA Prospecting Following up of international experiences DSM AIE agreement Spain participation representative Projects with REE active participation Annex XI Residential automatic response and modulation, Leader: Richard Fomby, EA technology, UK Annex XIII Market pace for DSM and DSO, Leader: PLMA, USA Annex XV Network driven DSM, DSO Leader: David Crosby, Utilities Association, Australia Madrid Forums on Demand Side Operability, REE and DSM AIE cooperation
  14. 14. Converting Demand Side Operation in a Resource of the Transmission System Operation 14 RED ELÉCTRICA DE ESPAÑA Prospecting, In deep consults to GYMCO GYMCO SEGMENT Large and medium consumers, power level in critical periods In Populated areas DSO capability expected Sample 30 consumers EMERGÍE To analyse the possibility of converting demand management into a control tool associated with the System’s operation. GYMCO SEGMENTS Water and desaltation Irrigation Hospital Airports Hotels Ceramic Large commercial and malls Frizz storage Already interruptible segments
  15. 15. Converting Demand Side Operation in a Resource of the Transmission System Operation 15 RED ELÉCTRICA DE ESPAÑA GYMCO Project within the Framework of the EMERGÍE Project • Initial selection of client sample (sector, consumption, cogeneration capacity, emergency systems, international experience…) • Analysis of load curves. • Final selection of the sample of clients to be interviewed. • Demand management analysis of the sectors/ consumers interviewed. • Extrapolation of results to national and international level. • Publication of results and presentations to the Organizations and Agents involved in the Spanish Electrical System. Interviews with consumers. Elaboration of documentation and plan for future actions Sample of clients to be interviewed Areas and economic sectors 1 • Analysis of areas of interest (areas with smallest oversizing). • Analysis of hourly periods during which summer and winter peaks are produced. • Analysis of predominant economic sectors in each province to be analysed. 2 3 REE Prospecting, In deep consults to GYMCO
  16. 16. Converting Demand Side Operation in a Resource of the Transmission System Operation 16 RED ELÉCTRICA DE ESPAÑA Examples of preliminary findings Analysis of the demand management capacity in other analyzed sectors. Sector Demand management Capacity Reason Actions need to management Facility of interest Integral cycle of water • Depuration • Desalination Investment in tanks of storage (desalination). Yes CHP • Autonomous generation The CHP capacity make them autonomous and with interruption capacity. Low additional investment. Yes Beer Sector • Flexible production • Maintenance Capacity of DSR in winter. Yes Cement Sector • Flexible production • Maintenance Capacity of DSR in winter. Yes REE PricewaterhouseCoopers Prospecting, In deep consults to GYMCO
  17. 17. Converting Demand Side Operation in a Resource of the Transmission System Operation 17 RED ELÉCTRICA DE ESPAÑA Prospecting, Short consults consults to GYMCO GYMCO, Inventory of distributed resources Quick response capability Security generation plants Reactive compensation capability Cogeneration Energy control systems on that facilities Sample 200 consumers Phone media
  18. 18. Converting Demand Side Operation in a Resource of the Transmission System Operation 18 RED ELÉCTRICA DE ESPAÑA Prospecting, Residential survey and metering RESCO Sample 2.000 households National representativnes Actualise information on appliances possession, time of use, programmable, controllable ones and stably controlled Infrastructures for control and bidirectional communication, domotica, security, internet, others Preferences on remote control in short periods and override Nielsen permanent panels Pay attention EMERGÍE Nielsen
  19. 19. Converting Demand Side Operation in a Resource of the Transmission System Operation 19 RED ELÉCTRICA DE ESPAÑA As one of the main targets of the study, a concept test will be carried out. The DSO concepts to be tested are the following: DSO CONCEPT A: “Installation of “intelligent” plugs with override option ”. These plugs will be able to receive interruption commands from REE, but the consumer could choose wether interrrupting the service or reactivate it. “Installation of “intelligent” plugs without override option”. These plugs will be able to receive interruption commands from REE, but in this case the consumer will not be able to reactivate the service. DSO CONCEPT B: “Capability to change consuming behaviour to those time brackets which have cheaper tariffs. For this purpose special devices would be previously installed in every domestic appliance”. Prospecting, Residential survey and metering
  20. 20. Converting Demand Side Operation in a Resource of the Transmission System Operation 20 RED ELÉCTRICA DE ESPAÑA DEREC projection of households response Projection of the Demand response Portfolio for Residential Consumers in Spain. FORECAST PERIOD: 2010, 2015 y 2020 Desegregation level: By end-use equipment: lighting, fridge, freezer, laundry machine, tumble dryer, dishwasher, heat pumps, stand-by appliances, space heater, air conditioner, water heater, sauna, water filters, etc. By time of use and season-type day.
  21. 21. Converting Demand Side Operation in a Resource of the Transmission System Operation 21 RED ELÉCTRICA DE ESPAÑA EXAMPLE: Total consumption estimation for one-door fridges by priority zones on an average season-type day. FRIDGE (one door) Average winter day Power 0,02 KW Dayly hours of use 24,0 Dayly comsumption by equipment 0,48 KWh %OFHOUSEHOLDS WITH HOUSEHOLDS NUMBER OF ELECTRICITY CONSUMPTION (KWh) FRIDGE (one door) (Number) FRIDGE (one door) FRIDGE (one door) PRIORITY ZONE 1 6,72 2.008.619 134.912 64.758 Málaga 5,90 434.766 25.651 12.313 Almeria 6,40 176.170 11.275 5.412 Cádiz 8,40 347.038 29.151 13.993 Granada 6,30 281.557 17.738 8.514 Sevilla 4,10 555.605 22.780 10.934 Gerona 9,20 213.483 19.640 9.427 PRIORITY ZONE 2 8,56 4.400.626 376.694 180.813 Insular 12,20 555.605 67.784 32.536 Comunidad Valenciana 7,30 1.492.792 108.974 52.307 Murcia 10,60 378.252 40.095 19.245 Barcelona 7,00 1.754.332 122.803 58.946 Tarragona 5,70 219.645 12.520 6.009 PRIORITY ZONE 3 5,73 2.124.350 121.796 58.462 Guadalajara 5,80 64.741 3.755 1.802 Toledo 4,70 185.817 8.733 4.192 Comunidad de Madrid 6,70 1.873.792 125.544 60.261 DEREC projection of households response
  22. 22. 4. Methodologies PUVS for evaluation of a disperse and probabilistic consumer response
  23. 23. Converting Demand Side Operation in a Resource of the Transmission System Operation 23 RED ELÉCTRICA DE ESPAÑA Prospecting, Methodologies PUVS for evaluation • Statistic Methodologies PUVS for evaluation of a disperse and probabilistic consumer response; on Predictability, Uncertainty Variability Sensibility on the network For assignment Capability contracts Optimise operational orders Reactive power exchange Consumers operation aid prototype OPCO
  24. 24. Converting Demand Side Operation in a Resource of the Transmission System Operation 24 RED ELÉCTRICA DE ESPAÑA Clasificación por perfiles de Qui_Sol_Mar_CON 0 20000 40000 60000 80000 100000 120000 2003/06/02:23 2003/06/12:17 2003/06/22:11 2003/07/02:05 2003/07/11:23 2003/07/21:17 2003/07/31:11 2003/08/10:05 2003/08/19:23 2003/08/29:17 2004/06/08:11 2004/06/18:05 2004/06/27:23 2004/07/07:17 2004/07/17:11 2004/07/27:05 2004/08/05:23 2004/08/15:17 2004/08/25:11 2005/06/04:05 2005/06/13:23 2005/06/23:17 2005/07/03:11 2005/07/13:05 2005/07/22:23 2005/08/01:17 2005/08/11:11 2005/08/21:05 HORA KW perfil_1 perfil_2 perfil_3 perfil_4 perfil_5 perfil_6 K W Two year summer Días tipo de Qui_Sol_Mar_CON 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 HORAS KW Perfil_1 Perfil_2 Perfil_3 Perfil_4 Perfil_5 Perfil_6 % of participation on the summer labour days 15 17 8 5 45 17 24 Hours Hours PUVS Variability Classifying the Type Days of an industrial consumer In order to establish the impact of: Load reduction capabilities in the contracts And Load reduction when reductions activation has to be to be assigned, OPCO Developed by EMERGÍE Aportaciones de los agentes del mercado a la e
  25. 25. Converting Demand Side Operation in a Resource of the Transmission System Operation 25 RED ELÉCTRICA DE ESPAÑA El nivel, la incertidumbre y la variabilidad es muy dependiente del plan de producción. La composición de dichos planes de producción es fundamental para la valoración de la respuesta esperada del consumidor. El error previsión es menor a medida que la hora de realización de la previsión está más cercana a las horas a prever PUVS uncertainty
  26. 26. Converting Demand Side Operation in a Resource of the Transmission System Operation 26 RED ELÉCTRICA DE ESPAÑA Se realiza el modelo de previsión sobre el plan de producción teniendo en cuenta el comportamiento histórico y la información del periodo inicial. La línea verde muestra la previsión a las 9 de la mañana de cada día. El sistema de previsión identifica los planes de producción en un periodo inicial del día. (En este caso de 6 a 9 de la mañana) PUVS predictability Erratic values Forecast error: 3.7%
  27. 27. Converting Demand Side Operation in a Resource of the Transmission System Operation 27 RED ELÉCTRICA DE ESPAÑA Clasificación por perfiles de CAPARACE_GABIA_S 0 50 100 150 200 250 300 350 400 2005/06/02:23 2005/06/06:10 2005/06/07:21 2005/06/09:08 2005/06/10:19 2005/06/14:06 2005/06/15:17 2005/06/17:04 2005/06/20:15 2005/06/22:02 2005/06/23:13 27/06/2005 2005/06/28:11 2005/06/29:22 2005/07/01:09 2005/07/04:20 2005/07/06:07 2005/07/07:18 2005/07/11:05 2005/07/12:16 2005/07/14:03 2005/07/15:14 2005/07/19:01 2005/07/20:12 2005/07/21:23 2005/07/25:10 2005/07/26:21 2005/07/28:08 2005/07/29:19 HORA MVA perfil_1 perfil_2 perfil_3 Classifying the days profile of a marginal line the one that first gets into over- load risk In order to establish the impact of Load reduction capabilities on the contracts And Load reduction when reductions activation has to be to be assigned, OPCO Días tipo de la líneaCAPARACE_GABIA_S 0 50 100 150 200 250 300 350 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 HORAS MVA Perfil_1 Perfil_2 Perfil_3 Carga_Maxim a Grupo 1 Grupo 2 Grupo 3 NDias 11 16 10 Participación 29.7% 43.2% 27.0% Error 3.5% 3.6% 4.4% Developed by EMERGÍE Aportaciones de los agentes del mercado a la ef 24 Hours Hours Southern line PUVS Evaluation, Sensibility on the network Marginal line criteria
  28. 28. Converting Demand Side Operation in a Resource of the Transmission System Operation 28 RED ELÉCTRICA DE ESPAÑA Transmission system states criteria Andalucía. Jul–Dec Period. 2005 1 multivariate cluster analysis to find groups of hours as homogeneous on level and direction on transmission lines and 2 discriminating analysis to chose a subset of lines that detect the states Estate 1: 26.8% of total hours Estate 3: 28.4% of total hours Estate 4: 11.2% of total hours Estate 2: 14.4% of total hours PUVS Evaluation, Sensibility on the network Developed by EMERGÍE Aportaciones de los agentes del mercado a la eficiencia del sistema de trasporte
  29. 29. Converting Demand Side Operation in a Resource of the Transmission System Operation 29 RED ELÉCTRICA DE ESPAÑA 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 sábado 01-03-2003 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 1 1 1 domingo 02-03-2003 1 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 1 1 1 1 lunes 03-03-2003 4 4 4 4 4 4 4 5 5 6 6 6 6 6 6 6 6 6 6 6 6 1 1 1 martes 04-03-2003 5 5 2 2 2 2 2 5 6 6 6 6 6 6 6 6 6 6 6 6 3 3 3 5 miércoles 05-03-2003 5 5 2 2 2 2 2 5 6 6 6 6 6 6 6 6 6 6 6 6 6 3 3 5 jueves 06-03-2003 5 2 2 2 2 2 2 2 6 6 6 6 6 6 6 6 6 6 6 6 6 3 3 5 1 viernes 07-03-2003 5 2 2 2 2 2 2 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 2 sábado 08-03-2003 5 5 2 2 2 2 2 2 2 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 domingo 09-03-2003 5 5 5 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 5 5 5 4 lunes 10-03-2003 5 2 2 2 2 2 2 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 martes 11-03-2003 5 7 2 2 2 2 2 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 miércoles 12-03-2003 5 2 2 2 2 2 2 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 7 jueves 13-03-2003 2 2 2 2 2 2 2 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 5 8 viernes 14-03-2003 5 2 2 2 2 2 2 5 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 7 9 sábado 15-03-2003 7 2 2 2 2 2 2 2 2 5 5 5 5 5 5 5 5 5 5 5 5 5 7 7 10 domingo 16-03-2003 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 7 7 7 11 lunes 17-03-2003 7 9 9 9 9 9 2 2 8 6 6 6 6 6 7 7 6 6 6 6 6 6 6 7 martes 18-03-2003 7 2 2 2 2 2 2 8 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 7 miércoles 19-03-2003 7 2 2 2 2 2 2 8 8 8 8 8 8 8 8 8 8 8 8 8 6 6 7 7 jueves 20-03-2003 2 2 2 2 2 2 2 2 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 7 viernes 21-03-2003 7 7 2 2 2 2 2 2 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 7 sábado 22-03-2003 2 2 2 2 2 2 2 2 2 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 domingo 23-03-2003 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 7 7 7 lunes 24-03-2003 7 2 2 2 2 2 2 2 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 7 martes 25-03-2003 7 2 2 2 2 2 2 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 miércoles 26-03-2003 7 7 2 2 2 2 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 jueves 27-03-2003 7 7 2 2 2 2 2 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 viernes 28-03-2003 7 2 2 2 2 2 2 8 10 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 sábado 29-03-2003 7 7 2 2 2 2 2 2 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 domingo 30-03-2003 7 9 9 9 9 9 9 9 9 9 9 9 9 9 2 2 2 2 2 2 7 7 7 lunes 31-03-2003 7 2 2 2 2 2 2 8 10 10 10 10 10 10 10 10 10 10 10 10 6 6 6 martes 01-04-2003 7 2 2 2 2 2 2 8 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 6 miércoles 02-04-2003 7 2 2 2 2 2 2 8 10 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 jueves 03-04-2003 6 2 2 2 2 2 2 8 10 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 viernes 04-04-2003 6 2 2 2 2 2 2 8 10 10 10 10 10 10 6 6 6 6 6 6 6 6 6 7 sábado 05-04-2003 7 7 2 2 2 2 2 2 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 domingo 06-04-2003 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 7 7 lunes 07-04-2003 7 9 9 9 9 9 9 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 martes 08-04-2003 7 2 2 2 2 2 2 8 10 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 miércoles 09-04-2003 7 7 8 8 8 8 8 8 8 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 jueves 10-04-2003 7 7 8 2 2 2 2 8 8 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 viernes 11-04-2003 6 8 8 8 8 8 8 8 10 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 sábado 12-04-2003 6 7 9 9 9 9 9 9 9 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 domingo 13-04-2003 1 1 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 1 1 1 lunes 14-04-2003 9 9 9 9 9 9 9 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 martes 15-04-2003 9 9 9 9 9 9 9 8 8 6 6 6 6 6 6 7 6 6 6 6 6 6 6 1 miércoles 16-04-2003 9 9 9 9 9 9 9 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 1 1 jueves 17-04-2003 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 viernes 18-04-2003 9 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 sábado 19-04-2003 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 11 11 11 domingo 20-04-2003 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 11 11 11 Fuente REE, Proyecto EMERGÍE, Clasificación de los estados del sistema mediante un una clusterización multivariante sobre los flujos netos entre zonas de operación. Clasificación de las horas de la primavera según estados del sistema Cada color supone un grupo de horas homogéneo Horas del día Días de primavera PUVS Evaluation, Sensibility on the network Transmission system states criteria Espain Jul–Dec Period. 2005 Multivariate cluster on Transmition between electric operational zones on spring Each color means an homogeneous group
  30. 30. Converting Demand Side Operation in a Resource of the Transmission System Operation 30 RED ELÉCTRICA DE ESPAÑA Fuente REE, Proyecto EMERGÍE, Clasificación de los estados del sistema mediante un una clusterización multivariante sobre los flujos netos entre zonas de operación. Ilustración 1: Estado de la red tipo 10 - Diurno laborable de primavera exportador PUVS Evaluation, Sensibility on the network Transmission system states criteria Spain Jul–Dec Period. 2005 ESTATE 10 SPRINT LABOUR DAY EXPORTING TO NEIVERS. High hydro and wind production
  31. 31. Converting Demand Side Operation in a Resource of the Transmission System Operation 31 RED ELÉCTRICA DE ESPAÑA S.E. BALBOA400 Siderurgía Balboa 45,6 km M1 M2 0,15 km S.E. BIENVENIDA400 S.E. ALMARAZ 400 184,5km S.E. GUILLENA400 77,5km AT1 M3 M4 M5 M6 M7 M2: Consumo en antena Variación de 1 MW M6: Alimentación desde nuclear Sensibilidad 0,38 MW M7: Evacuación resto mercado Sensibilidad 0,50 MW M3: Evacuación distribución local Sensibilidad 0,12 MW Conexión con transporte M4 (lectura salida): Sensibilidad 0,87 MW M5 (lectura entrada): Sensibilidad 0,86 MW Consumo en la red de distribución C1 PUVS Evaluation, Sensibility on the network
  32. 32. 4. Implementing infrastructure
  33. 33. Converting Demand Side Operation in a Resource of the Transmission System Operation 33 RED ELÉCTRICA DE ESPAÑA Gestión flexible de la interrumpibilidad, GFI Los consumidores envían a REE información de consumo en tiempo real, Real time consumption (active and reactive) information to TSO: 1 minute period from the 3,000 MW larger consumers. Centro de Control Eléctrico de Red Eléctrica (CECOEL) Previsiones de consumo, Continuous consumption programs information to Red Eléctrica. GFI flexible interruption system
  34. 34. Converting Demand Side Operation in a Resource of the Transmission System Operation 34 RED ELÉCTRICA DE ESPAÑA Potencia 12 horas PreavisodeRedEléctrica 2 El consumidor envía permanentemente su Demanda prevista y capacidad de compensación de reactiva 1 El consumidor envía permanentemente a Red Eléctrica su Demanda real 3 Ejemplo deMáximo perfil de consumo permitido en la orden inicial por Red Eléctrica Periodo de interrupción 4 Ejemplo de Máximo de consumo permitido en una orden modificada, al menos con una hora de antelación por REE Tiempo P máx. 50% 5 Máximo de consumo permitido en la orden con sustitución por entrega de reactiva Potencia P contratada P máx. contratada PreavisodeRedEléctrica 2 horas 2 El consumidor envía permanentemente su Demanda prevista y capacidad de compensación de reactiva 1 El consumidor envía permanentemente a Red Eléctrica su Demanda real 3 Ejemplo deMáximo perfil de consumo permitido en la orden inicial por Red Eléctrica Periodo de interrupción 4 Ejemplo de Máximo de consumo permitido en una orden modificada, al menos con una hora de antelación por REE GFI flexible interruption system
  35. 35. Converting Demand Side Operation in a Resource of the Transmission System Operation 35 RED ELÉCTRICA DE ESPAÑA SCECI Communication and control REE-Consumers Ilustración 1: Estado de la red tipo 10 - Diurno laborable de primavera exportador Private virtual internet network Star topology, Fixt IP Permanent communication, automatic information on the communication failure ADSL RSI access trough ETHERNT interface Minimum access speed Consumer REE 256 Kbps REE Consumer 512 Kbps.
  36. 36. Converting Demand Side Operation in a Resource of the Transmission System Operation 36 RED ELÉCTRICA DE ESPAÑA Respuesta de los consumidores interrumpible con tarifa THP a una orden de interrupción el xxx •The response used to be 80% than expected •The procedure was unnecessarily harmful for industrial processes •Instructions communication system failure THP consumer’s response Fuente REE, Proyecto EMERGÍE, OPCO Prototipo de ayuda a la OPeración de COnsumos. 0 20 40 60 80 100 120 140 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hours MW Steel Paper Glass Siderurgy OPCO consumers operation aid prototype
  37. 37. Converting Demand Side Operation in a Resource of the Transmission System Operation 37 RED ELÉCTRICA DE ESPAÑA Consumidor 1 Consumidor 2 Consumidor 3 Consumidor 4 Consumidor 5 Consumidor 6 OPCO consumers operation aid prototype
  38. 38. Converting Demand Side Operation in a Resource of the Transmission System Operation 38 RED ELÉCTRICA DE ESPAÑA El beneficio generado por el plan con menos incertidumbre es mayor a medida que se quiere estar más seguro del aportación al sistema Ejemplo: La ganancia de interrumpir el plan menos incierto frente al incierto es mayor a medida que el coste de caída del sistema es mayor. La ganancia es la zona sombreada. OPCO assignment process and algorithms K W Two year summer D ías tip o d e Q ui_S ol_M ar_C O N 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 H O R AS K W Perfil_1 Perfil_2 Perfil_3 Perfil_4 Perfil_5 Perfil_6 % of participation on the summer labour days 15 17 8 5 45 17 24 Hours •The Contribution of each consumer in the portfolio is evaluated by a benefit function El beneficio generado por un consumidor con varios planes de producción es mayor que su valor esperado si a la hora de interrumpir se conoce su plan de producción. Ejemplo: Si a la hora de ejecutar la interrupción no se conoce el plan el valor esperado es la línea azul pero si se conoce el plan y se espera en donde el valor presente sea mayor al futuro se tiene la línea roja que tiene una una posible ganancia adicional superior a 20MW.
  39. 39. Converting Demand Side Operation in a Resource of the Transmission System Operation 39 RED ELÉCTRICA DE ESPAÑA The Contribution of each consumer in the portfolio is evaluated by •its average level of expected response on each production plan •Uncertainty •Location in relation on the network sensibility •Functional form on the lose function •Scarcity of available DSO resources OPCO assignment process and algorithms OPCO consumers operation aid prototype
  40. 40. Converting Demand Side Operation in a Resource of the Transmission System Operation 40 RED ELÉCTRICA DE ESPAÑA Objetivo: Asignar a un conjunto de consumidores unos niveles de interrupción, optimizando los contratos con criterios a largo y corto plazo En la hora h* se debe hacer frente a una interrupción con unas necesidades de potencia L1 con una tipología T1. Después de la hora h* se tiene que hacer frente a K-1 interrupciones con unas necesidades de potencia Lk y con una tipología Tk. Se tiene I individuos con nhi horas de interrupción cada uno Cada hora de interrupción tiene una ganancia gi que es función de la potencia consumida natural (PCN), del PMax y de la tipología de la interrupción. Un año h=1 h=h* h=H k=1 k=2 k=3 k=4 k=K-1 k=K conjunto I subconjunto I* individuo i OPCO assignment process and algorithms
  41. 41. Converting Demand Side Operation in a Resource of the Transmission System Operation 41 RED ELÉCTRICA DE ESPAÑA Loss functions • Direct loss When the DSO contributions are lower than the needs • Indirect loss When the DSO contributions became scarce than the needs Objective Assign the group of DSO response that minimize direct and indirect losses OPCO assignment process and algorithms
  42. 42. Converting Demand Side Operation in a Resource of the Transmission System Operation 42 RED ELÉCTRICA DE ESPAÑA Converting Demand Side Operation in an accurate tool for the Transmission System Operator EMERGÍE Aportaciones de los agentes del mercado a la eficiencia del sistema de trasporte On the R & D project EMERGÍE, REE is developing DSO priorities, Evaluation methodologies, technical tools prototypes and feasibility analysis The scope of EMERGÍE 1. Develop DSO offer opportunities and tools 2. Evaluate alternative for DSO trade 3. DSO insertion on the system planning Electric market participants contribution on the electric system efficiency
  43. 43. Converting Demand Side Operation in a Resource of the Transmission System Operation 43 RED ELÉCTRICA DE ESPAÑA Converting Demand Side Operation in an accurate tool for the Transmission System Operator EMERGÍE Aportaciones de los agentes del mercado a la eficiencia del sistema de trasporte Bilateral collaboration REE valuate highly the exchange of ideas with operators, participants in the market, researchers, ESCOS and regulators www ree.es carmenrodri@ree.es Tank you Electric market participants contribution on the electric system efficiency

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