Developing an IDE4L Grid

Transcription

1 Developing an IDE4L Grid Presenter: Antonino Riccobono, Ph.D. RWTH Aachen University Project Coordinator: Prof. Sami Repo Tampere University of Technology 5 th November 2014

2 SLIDE 2 Contents Overview of project mo>va>on, areas of interest From concepts to demonstra>ons Main objec>ves and expected outcomes Targets of each WP Summary

3 Basic facts Dura>on: September 2013 August 2016 Budget: 8 M IDE4L- project is funded by European Commission A2A Re> EleNriche SpA (Italy) Unión Fenosa Distribución (Spain) ØstkraU Holding A/S (Denmark) Telvent (Spain) Danish Energy Associa>on (Denmark) Tampere University of Technology (Finland) Technical University of Denmark (Denmark) RWTH Aachen University (Germany) University Carlos III de Madrid (Spain) Kungliga Tekniska Högskola (Sweden) Catalonia Ins>tute for Energy Research (Spain)

4 SLIDE 4 Introduc>on Mo>va>on RES and energy efficiency ac>ons increase the complexity of distribu>on network planning and opera>on Exis>ng and new distribu>on networks and resources should be u>lized more efficiently Con>nuity of the electricity supply is important for the modern society Areas of Interest Planning of ac>ve network Distribu>on automa>on in MV and LV networks Ac>ve network management u>lizing DERs Interac>ons of DSO/TSO and DSO/market actors

5 SLIDE 5 From concept to demonstra>ons 1. Defining the concepts Ac>ve network Automa>on for ac>ve network management Aggregator system 2. Developing automa8on func8onali8es and planning methods 3. Building the demonstra8ons in: Denmark (ØstkraU Holding A/S) Italy (A2A Re> ElecNriche SpA) Spain (Unión Fenosa Distribución, S.A.)

6 SLIDE 6 From laboratory to field trials

7 SLIDE 7 Main objec>ves Demonstrate the automa>on system and selected use cases for ac>ve distribu>on network Develop advanced distribu8on network automa8on system including u>liza>on of flexibility services of DERs and their aggregators Develop advanced applica8ons that enable monitoring and control of whole network Fault loca>on, isola>on and supply restora>on (FLISR) Conges>on management and voltage control Interac>ons between distribu>on and transmission operators

8 SLIDE 8 Expected outcomes Planning tools design ac>ve distribu>on network, and evaluate costs and benefits of developed concept and technical solu>ons Advanced automa8on system Extend monitoring and control func>ons deeply in the distribu>on network Increment of network hos>ng capacity for DG Management of fast changing condi>ons and integra>on of large number of DG and DR Knowledge to apply standard protocols like IEC for data exchange Aggrega>on of informa>on from small- scale DERs and flexibility services for distribu>on network management

9 SLIDE 9 Expected outcomes (con t) The same automa>on infrastructure will be u>lized to enhance the distribu>on network reliability Automa>c fault loca>on, isola>on and supply restora>on algorithm will be developed and demonstrated to improve the reliability of distribu>on network Design of a universal controller to enable flexible opera>ons of micro- grids, smooth transi>on from grid- suppor>ng mode, grid- connected mode and islanded mode, while guaranteeing quality of service

10 SLIDE 10 WP2 Planning tools for distribu>on network management Main objec>ves Define a distribu>on network concept including large- scale DER par>cipa>on in network management Develop network planning tools to evaluate the costs and the benefits of ac>ve distribu>on concept and proposed applica>ons Horizons: target network planning, expansion planning and day- ahead planning Uncertainty of consump>on, produc>on and availability of resources Main outcomes The planning tools themselves Op>miza>on of the results using exis>ng grid Minimiza>on of grid reinforcement

11 SLIDE 11 WP3 - Distribu>on Network Automa>on Architecture Main objec>ves Define the distribu>on automa>on concept for architecture design i.e. what should the distribukon network be able to do? How? What does it take to enable it? Use cases, func>ons, services, actors, high level data and informa>on in/out Develop the distribu>on network monitoring and control architecture i. e. what semankcs, funckon allocakon, integrakon based on standards and off- the- shelf technologies? Detailed architecture Main outcomes Test of developed architecture, i.e. prove in simulakon, HIL and demos that the architecture enables the automakon concept Validated por>ons of the architecture based on demo results

12 SLIDE 12 WP3 - Distribu>on Network Automa>on Architecture (con t)

13 SLIDE 13 WP4 - Fault loca>on, isola>on and supply restora>on Main objec>ves Enhance network reliability in ac>ve networks with a growing presence of DERs by means of distributed intelligence Reduce the impact of DERs in the stability of the grids and in the the detec>on and loca>ons func>ons, Usage of DERs as possible backup source for fault service restora>on Main outcomes Modular and flexible solu>ons where FLIRS and DER connec>on preven>ve control will be modeled on a way that they can be adapted to operate on different distribu>on grid scenarios and responding to the latest industrial trends on distribu>on grids

14 SLIDE 14 WP5 - Conges>on management Main objec>ves State es>ma>on and state forecas>ng: Develop a near real >me measurement system that will improve the knowledge about the state of the grid and make the op>miza>on of the investment cost easier Power Control: Develop network overload and voltage management algorithms for MV and LV networks Demand Response: Develop methods and algorithms for day ahead energy planning of flexible demands Main outcomes Implementa>on of func>ons for the conges>on management of distribu>on networks

15 SLIDE 15 WP6 - Distribu>on networks dynamics Main objec>ves Define reference distribu>on and microgrid networks for the study of distribu>on network dynamics including interminent sources Op>mize the integra>on of DERs corresponding to dynamic pricing, load balancing and aggregators Define tools for DERs par>cipa>on in ancillary services provision for ac>ve/ reac>ve power Develop methods for interfacing TSOs and DSOs via key dynamic informa>on exchange Main outcomes Emula>on of the aggregator management Aggregator/DSO/TSO interac>on ANCILLARY SERVICES ANCILLARY SERVICES

16 SLIDE 16 WP7 - Demonstra>ons Main objec>ves Validate the IDE4L architecture by running the use cases (WP2-6) in a real- life environment and in lab Assess results through metrics Provide final recommenda>ons Demonstra>ons Denmark (semi- urban area, PV and heat pumps, LV) Italy (urban area and semi- urban area, MV and LV ) Spain (Linter test facili>es) Lab. Demos (RWTH, TUT, IREC, Telvent)

17 SLIDE 17 Summary Strong focus on DSO viewpoint Impacts of DG, DR, aggregators, etc. for distribu>on network planning and opera>on Benefits of ac>ve network management Enabler: next genera>on distribu>on automa>on system and its interac>on with other systems in electricity system Proven solu>ons by demonstra>ons

18 Thank you

19 SLIDE 19 Author : Davide Della Giustina WP7 Demonstra>ons (Labs) RTDS to simulate the network Connec>on with other devices e.g. RTUs, PMUs, SMs,

20 SLIDE 20 Author : Davide Della Giustina WP7 Demonstra>ons (A2A) LIST OF ASSETS: 1 Primary substa>on 3 MV feeders 13 Secondary substa>ons 10 LV feeders 50 customers with PV CONTROLLABLE NODES: 4x2 MV breakers 8 LV breakers PQ compensator USE CASES (MV & LV): RT monitoring State es>ma>on & Powerflow control FLISR

21 SLIDE 21 Author : Davide Della Giustina WP7 Demonstra>ons (OST) LIST OF ASSETS: 1 Secondary substa>on 4 LV feeders 120 customers with PV and HP CONTROLLABLE NODES: 1x2 MV disconnectors 4 LV breakers Demand response (TBC) USE CASES (LV): RT monitoring State es>ma>on Power flow control

22 SLIDE 22 Author : Davide Della Giustina WP7 Demonstra>ons (UFD) LIST OF ASSETS: 2 Secondary substa>ons; 10 LV feeders; 300 loads + DERs CONTROLLABLE NODES: LV network reconfigura>on Control of DERs USE CASES (LV): RT monitoring State es>ma>on Power flow control