Gas Natural Fenosa s Experiences on Renewable Energy Integration

Transcription

1 Gas Natural Fenosa s Experiences on Renewable Energy Integration Julio Gonzalo García Asset Management 17 th October 2013

2 Outline 1.About us 2.Spanish Regulation 3.R+D projects 4.Conclusions 2

3 About us GAS NATURAL FENOSA Installed capacity: 15,519 MW Figures 31/12/2012

4 About us UNION FENOSA DISTRIBUCION Spanish electricity DSO within GNF group

5 About us UNION FENOSA DISTRIBUCION Spanish electricity DNO within GNF group Data 31 st Dec 2012 Electricity customers 3.8 M Control rooms 2 Power peak 6,323 MW Primary Substations 364 Transformers / capacity 667 / 22,122 MVA Secondary substations 57,431 MV feeders 2,325 LV feeders 144,035 Total line length (km) Embedded DG 117,255 km 3,310 MW

6 About us UNION FENOSA DISTRIBUCION Spanish electricity DSO within GNF group Data 31 st Dec 2012 Electricity customers 3.8 M Control rooms 2 Power peak 6,323 MW Primary Substations 364 Transformers / capacity 667 / 22,122 MVA Secondary substations 57,431 MV feeders 2,325 LV feeders 144,035 Total line length (km) Embedded DG 117,255 km 3,310 MW Distribution Demand Coverage From DG Interconnections 1% 32% From Transmission 67%

7 Distributed Generation Installed Power Capacity in UFD grid MW % Total Total 3, % Wind 1, % GNF CHP % By Technology Non GNF CHP Hydro % 10 % PV % Others 146 4% 132 kv % By voltage level 66 kv 45kV MV 1, % 11 % 24 % LV 45 1 % 7

8 Distributed Generation Installed Power Capacity in UFD grid MW % Total Total 3, % Wind 1, % GNF CHP % By Technology Non GNF CHP Hydro % 10 % PV % Others 146 4% 132 kv % By voltage level 66 kv 45kV MV 1, % 11 % 24 % LV 45 1 % Can Distribution Grid be managed with this penetration level of DG? 8

9 Spanish regulation 9

10 Spanish technical regulation about DG Technical requirements for DG Spanish Royal Decree 1565/2010 P > 10 MW (Individual o Group) 1 MW < P < 10 MW (Individual o Group) Integrated in a Generation Control Center connected in real time with System Operator Control Center Obligation to accept from SO set points for voltage control (with bonus and penalties). DNO can apply for restrictions to ensure security in distribution grid Real time remote metering to be sent to System Operator Control Center (directly or through DNO) Spanish Royal Decree 1699/2011 P < 100 KW (Individual o Group) Maximum variation of voltage caused by DG power injection has to be within ± 2,5 % Common requirement: Power factor between ± 0.98

11 Smart Metering could ease DG integration Functionality of Smart Meter in Spain Regulation requirements Remote metering for energy and power at the end of the billing period Remote metering of quality parameters Modification of the equipment setting Remote synchronization (at least one in each period) Remote SW update of the equipment Remote connection and disconnection to the power supply Demand management capabilities Capable of sending messages to the customer (publishing online the customer s information) 11

12 Smart Metering could ease DG integration Functionality of Smart Meter in Spain Regulation requirements Remote metering for energy and power at the end of the billing period Remote metering of quality parameters Modification of the equipment parameterization Remote synchronization (at least one in each period) Remote SW update of the equipment Remote connection and disconnection to the power supply Demand management capabilities Capable of sending messages to the customer (publishing online the customer s information) But nothing related to DG functionality 12

13 Smart Metering to ease DG integration GERMANY 13

14 R+D projects * DG living lab * REserviceS * IGREENgrid 14

15 Ongoing Projects From the Innovation to the Demonstration Technology GNF is working in several projects related to smart grids Innovation R+D Laboratory Demonstration PELGRIN Solutions Deployment DISCERN 15

16 DG Living Lab Support for Innovation 15 kv voltage line SS1 250 KVA LINTER becomes the support of all innovation projects and the deployment of smart grids. SS2 100 KVA PV 20kW PV 11kW GAS TURBINE 50kW PV 20kW WIND 3kW x 48 x 48 x 48 x 48 x CONSUMER SMART METERS

17 REserviceS Economic grid support from variable renewables Objective: to establish a reference basis and policy recommendations for future network codes and market design in the area of ancillary services from variable renewables. 17

18 REserviceS Economic grid support from variable renewables Objective: to establish a reference basis and policy recommendations for future network codes and market design in the area of ancillary services from variable renewables. Duration 30 months Period 01/04/ /09/2014 Project Budget 6,6 M (EC grant: 4,3 M ) Project Coordinator EWEA (European Wind Energy Association) Web Site 18

19 REserviceS Project

20 REserviceS GNF Case Study Case Study definition Objective Analyze possible contributions of PV & Wind generators to the voltage control in distribution networks from an active management perspective Two different OPF (Optimal Power Flow): 1.Q minimization for voltage limits fulfillment (0.93 < Vpu < 1.07) 2.Active power losses minimization subject to voltage limits fulfillment

21 REserviceS GNF Case Study Case Study definition Approaches Objective Analyze possible contributions of PV & Wind generators to the voltage control in distribution networks from an active management perspective Two different OPF (Optimal Power Flow): 1.Q minimization for voltage limits fulfillment (0.93 < Vpu < 1.07) 2.Active power losses minimization subject to voltage limits fulfillment q Business as usual: Voltage control in MV networks by means of fixing MV busbar voltages at primary substations. DG follows constant power factor q Smart approach: DSO optimizes voltage control, mainly: Fixing MV busbar voltages at primary substations And sending optimal voltage set points to generators connected to the distribution network (Steady State Voltage Control)

22 REserviceS: Five scenarios, two R/X ratios Load peak: 8 MW Substation Two R/X ratios of MV grid: Current situation (R/X avg = 1.5) Weak scenario (R/X avg = 2.5)

23 REserviceS. Inyection of Q to regulate V Large amount of Q is required to control voltage. It is not a costefficient solution in grids with R/X > 1 (LV and underground MV lines)

24 REserviceS. Impact of P losses P injection of DG reduces grid P losses (higher reduction if there is Q injection) up to certain level of penetration DG. Anyway, it depends on each particular grid

25 REserviceS. Conclusions A high increase of the generation connected to MV network introduces complexity in the operation of Distribution System and can imply new cost for the DSO (and for the system in general). But a close and flexible interaction between DSO and Distributed Generation can change that complexity and cost to an opportunity if new tools are deployed (both technical and regulation), like new infrastructure, ancillary services, variable access contracts, 25

26 IGREENGrid IntegratinG Renewables in the EuropEaN Electricity Grid Duration 36 months Period 01/01/ /12/2015 Project Budget 6,6 M (EC grant: 4,3 M ) Project Coordinator IBERDROLA DISTRIBUCIÓN ELÉCTRICA 26

27 IGREENGrid: UFD Demo PRICE q Where and planning: o Corredor del Henares (Madrid Region). ( ). q Key Figures : o DER involved: Wind and PV (Installed Power: 73,3 MW). o Customers : at MV and LV. q Objectives: o Monitor and automate the MV/LV power network, improving its operation and maintenance. o Improve the integration of already existing distributed generation. o Forecasting and monitoring system for distributed generation. o DSVC system for voltage stabilization. o Specification of the Distributed Generation Control Center. o Contribution to interoperability and common open standards. q Smart Grids Functions : o Measurements integration (V, I, P, Q). o Power system for voltage stability of the generator = 2 x DFACTS o Development of a Distributed Generation Control Center including State estimator algorithm. q 27

28 IGREENGrid IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. 28

29 IGREENGrid IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. STEP 1: To analyze KPIs in Demo Sites regarding DRES integration (assessment methodology based on EEGI KPIs) and to select the best appropriate ones 29

30 IGREENGrid IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. STEP 1: To analyze KPIs in Demo Sites regarding DRES integration (assessment methodology based on EEGI KPIs) and to select the best appropriate ones STEP 2: Data gathering associated to Demo sites and other relevant EU projects 30

31 IGREENGrid IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. STEP 1: To analyze KPIs in Demo Sites regarding DRES integration (assessment methodology based on EEGI KPIs) and to select the best appropriate ones STEP 2: Data gathering associated to Demo sites and other relevant EU projects STEP 3: ANALYZE & COMPARE most-promising solutions based on selected KPIs 31

32 IGREENGrid IGREENGrid project focuses on identifying the most promising solutions for increasing the hosting capacity for Distributed Renewable Energy Sources (DRES) in power distribution grids without compromising the reliability or jeopardizing the quality of supply. STEP 1: To analyze KPIs in Demo Sites regarding DRES integration (assessment methodology based on EEGI KPIs) and to select the best appropriate ones STEP 2: Data gathering associated to Demo sites and other relevant EU projects STEP 3: ANALYZE & COMPARE most-promising solutions based on selected KPIs STEP 4: Guidelines for the future massive integration of DRES in distribution grids, reference model and Exploitation plan 32

33 Conclusions 33

34 The key issue A new regulatory framework should cover all the DER aspects DG revenues and Incentives Access and Connection Model Roles and responsibilities Security of Supply and Quality of service System services with DER DSO incentives schemes and revenues

35 Thank you for your attention