Dr. Fritz Rettberg November 15, 2016 Vancouver. Smart City and Smart Grid Two Sides of the Same Coin

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1 Dr. Fritz Rettberg November 15, 2016 Vancouver Smart City and Smart Grid Two Sides of the Same Coin

2 AGENDA Short Introduction What s Smart City/Grid about? Challenges in the Future Power Grid Smart Grids in Smart Cities Conclusions

3 Introduction

4 IE³ INSTITUTE OF ENERGY SYSTEMS TU Institute DORTMUND of Energy Systems Research Group Energy Efficiency Institute of Power Systems and Power Economics Testcenter for Electric Vehicle Infrastructure and Networks R&DBuilding with Transmission System Group

5 Research and Consulting Topics

6 Smart Grid Technology Platform

7 What s Smart City/Grid about?

8 BOTH: Using Data & Business Cases Complexity Added value

9 SMART CITY: Breaking down the silos Energy Management Application Smart Lighting Application Smart Parking Application Mobility & Logistics Application Smart Charging Application CONNECTED CITY HORIZONTAL SERVICES

10 SMART GRID: Breaking down the silos Electricity storage Heat storage Electricity sector 1 Heat sector Gas sector Gas storage 1 Powertoheat 2 Powertogas (electricity storage) 3 Powertogas (heat storage) 4 Powertogas (fuel storage) Fuel storage 4 Mobility sector 5 Emobility 6 Powertoliquid (fuel storage)

11 SMART CITY: Managing Complex Systems

12 SMART GRID: Managing Complex Systems

13 BOTH: Sustainability & Environmental Issues

14 Challenges in the Future Power Grid

15 Power import and export NETWORK LEVEL 1 Transmission grid Extra high voltage 380/220kV Pump storage Nuclear power Coal NETWORK LEVEL 2 Transformation in open air switchgears NETWORK LEVEL 3 Transregional distribution grids High voltage 110kV Substation Coal Water power Large scale industry NETWORK LEVEL 4 Transformation in open air and closed switchgears NETWORK LEVEL 5 Regional distribution grids Medium voltage 30kV, 20kV, 10kV Substation Water power Industry NETWORK LEVEL 6 Transformation in closed substations NETWORK LEVEL 7 Local distribution grid Low voltage 0,4kV Local network station Households Rettberg

16 Power import and export NETWORK LEVEL 1 Transmission grid Extra high voltage 380/220kV Pump storage Nuclear power Coal Offshore wind NETWORK LEVEL 2 Transformation in open air switchgears NETWORK LEVEL 3 Transregional distribution grids High voltage 110kV Substation Natural gas Water power Wind Large scale industry NETWORK LEVEL 4 Transformation in open air and closed switchgears NETWORK LEVEL 5 Regional distribution grids Medium voltage 30kV, 20kV, 10kV Substation Photovoltaics Biomass Water power Wind Industry NETWORK LEVEL 6 Transformation in closed substations Storage NETWORK LEVEL 7 Local distribution grid Low voltage 0,4kV Substation Wind power CHP plant Heat pumps Photovoltaics Households Emobility Rettberg

17 Future High Rate of Renewables Renewable power supply and load, January to February 2050 (based on Meteo year 2006) Pumped storages today: 0,04 TWh (vs. 30 TWh needed) Capacity (GW) Source: Nitsch, Sterner et al., 2010, BMU Leitszenarien Zwischenbericht Rettberg

18 Smart Grids in Smart Cities

19 Distribution grids reach limits of capacity and voltage growing share of distributed renewables distributed solar new loads, load management and efficiency measures voltage / V new loads Zeit / h Source: TU Dortmund RWE Deutschland AG x x Implementation of innovative devices, grid and operation/control concepts Rettberg

20 Local Energy Management

21 Smart Home and EMobility Accounting Center EMobility Meter EV integrated Accounting System Plug Storage CHP

22 Offgrid vs. OnGrid HV/MV Prosumer (active customer) Daten Data Micro CHP MV/LV Electricity Gas Gas Strom

23 Offgrid vs. OnGrid EEnergy Market Place HV/MV HS/MS Grid Operator System Services Network Restrictions Aggregator Demand Response Demand Side Mgmt Supply Side Mgmt. Electricity Market Energy Supplier Energy Trader Prosumer (active custromer) Daten Data Micro CHP x x MS/NS MV/LV... Electricity Gas Gas Strom

24 Smart Buildings in Urban Areas

25 Smart Factory Power Systems

26 Urban Power Systems

27 Urban Distribution Grid Reinforcement with Smart Grid Components HV/MV 110kV/10kV Network Control Unit Active Voltage Conditioner (medium voltage level) Controllable Local Network Station (AVC, low voltage level) Source: TU Dortmund ie3, ABB, RWE

28 Urban Distribution Grid Reinforcement with Smart Grid Components HV/MV 110kV/10kV Network Control Unit Functions Protection (iprotect) Fault Location (i3s) Power Quality Monitoring Topology Optimization (MS) (Grid4EU) Coordination Grid vs. RES / Ampel (proaktives Verteilnetz) Wide Area Voltage Control (Smart Country, KIT) Ancillary Services from DG (KIT) Adaptive State Estimation Source: TU Dortmund ie3, ABB, RWE

29 Distribution Grid Ancillary Services

30 Simulation Framework for Distribution Grid Windinertiabywind power plants

31 Smart City Energy Management Energy Management Intelligent bundling of smart building components Monitor and control load flows, generation, storage, RES and conventional feed in Purchase Use EVs as dynamic energy storage Enable degrees of freedom for optimization and flexibility Cost reduction Carbon dioxide reduction Enhancement of secure supply Enhancement of overall efficiency Local ancillary services for micro grids Ancillary services from the distribution grid

32 Conclusions

33 Conclusions Increased utilization of monitoring and control both in the grid and in the city Complexity for system operation and city operation rises Smart tools need to be developed to support system operation and city operation Many new Smart Grid Technologies are being applied in cities and regions Adaptive State Estimation Systems are required for many applications both in smart cities and in the smart grid Smart Data is the basis for valueadded services and business models Design of interfaces plays the important role when breaking down the silos Avoid redundant systems Integrated infrastructures are the key!

34 Thank you very much for your attention! Contact Dr. Fritz Rettberg TU Dortmund University ie³ Institute of Energy Systems, Energy Efficiency and Energy Economics