E-Mobility in Planning and Operation of future Distribution Grids. Michael Schneider I Head of Siemens PTI

Transcription

1 E-Mobility in Planning and Operation of future Distribution Grids Michael Schneider I Head of Siemens PTI Unrestricted Siemens AG Österreich 2017 siemens.at/future-of-energy

2 Siemens Power Technologies International - Overview Power System Consulting Grid design, planning, optimization and operational support Key Facts: founded in offices VENDOR NEUTRAL PAID CONSULTING TRUSTED ADVISOR ~400 employees ~250 consultants customers Energy Business Advisory Energy infrastructure strategy and process consulting Simulation Software Best-in class tools for grid planning and simulation projects p.a. across all verticals Page 2

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4 Fleet, as of January 1 st of the respective year Worldwide >2 million electric vehicles on the road Jan 2016: 1.3 million EV s on the road (globally) Dec 2016: 2 million 2016: ~ EV units sold But still a long way to go ~80 million cars sold / year ~1.4 billion cars installed fleet Source: Research, Wikipedia Page 4

5 Exact forecast of when a market will take off? Historic analogy shows market estimates can be inaccurate (GW/a) 1,5 2,5 6,7 7, Sources: IHS technology, EPIA = European PV Industry Ass., IEA = International Energy Agency, BNEF = Bloomberg New Energy Finance Page 5

6 Exact forecast of when a market will take off? Historic analogy with PV allows some analogies / theses 75,0 80,0 Actual Analogy Start: Subsidized, regulation, target setting 38,4 41,0 50,0 Economies of scale (brutal cost out) Tipping points 30,1 30,0 Equal total cost of ownership (GW/a) 17,2 Invest < Invest comp. 1,5 2,5 6,7 7,3 Soft facts: Environment, coolness factor Sources: IHS technology, EPIA = European PV Industry Ass., IEA = International Energy Agency, BNEF = Bloomberg New Energy Finance Page 6 Zero emission regulation

7 Equipment overloading Simulation results of existing medium and low voltage grid with non-controlled charging infrastructure 400 I/Ith [%] Study of EV impact Einkaufszentrum 3. Shopping center 50% of a small city, ~ inhabitants in scope, one car per household, 50% EV rate 11kw charging Firmenparkplatz 2. Office parking 1. Households Haushalte (HA with + EV EV) Real driver behaviour / statistics Simulated in a real distribution grid 100 ΔI ΔI 0 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 00:00 t [h] Page 7 P/Pn [%] (Base rating) P/Pn [%] (Base rating) P/Pn [%] (Base rating) Simulation time

8 Calculation of impact of charging in private households (simplified) Example (Assumptions): 1. Households with EV One feeder, 20kV, maximum load 5 MW, 50% cable load 2000 households with each one electrical vehicle Maximum charging power per EV is only 11 kw. Results: Grid tomorrow = 5x today for secured supply (n-1). Grid tomorrow = 3x today for normal EV supply (n-0). Receiving Substation 110/20kV Transformer 50 % feeder loading 5MW EV: add. 110% loading 22MW EV: add. 110% loading 22MW normal open point Today Extension 0,5m 0,5m 0,5m 0,5m 50 % feeder loading 5MW Max. charging power: 2000 x 11kW = 22 MW Max loading of the feeder: P(charging)+P(household) = 22 MW + 5 MW = 27 MW Page 8 Ring Main Unit 20/0,4kV The integration of charging infrastructure is not realistic without implementing intelligent charging management that considers the network constrains.

9 Charging technologies & services: Future with broad tech basket Today Near Future Normal AC 3-10 kw Fast AC kw High Power DC kw Home Employer charging At shopping EV-sharing charging/fleets Public charging Highway Normal ACmart Charging V2G Home 3-10 Fast AC / Mobil kw High Power DC kw Ultra High Power DC kw Employer charging At shopping Public charging Highway Inductive (static/dynamic) 3-10 kw Home charging EV-sharing charging/fleets Primary business, EV-Driver has need for this charging service, willing to pay Page 9

10 Conclusions / main theses E-mobility will come AND will be the central driver for change in future city distribution grids (Threat scenario: Distribution grid = EV bottle neck) Action need: Understand specific situation, capacity and required actions holistic approach required Intelligent solutions: Consumer behavior, grid status, critical operation stages are key for longterm expansion & operations ( Digital twin) LAST but perhaps most interesting: Future key players & value add in business opportunity to integrate, manage and maintain EV infrastructure? Page 10

11 THANK YOU! Page 11

12 Contact Michael Schneider Head of Siemens PTI EM DG PTI Freyeslebenstr Erlangen Germany Phone: +49 (9131) michael.f.schneider@siemens.com siemens.at/future-of-energy Page 12

13 BACKUP Page 13

14 Power Technologies International optimizes technical system performance and maximizes business value Energy Business Advisory Opening doors to future value creation Infrastructure development Business transformation Market advisory Transaction advisory Solution engineering Power System Consulting Complete set of analysis, design & optimization studies Steady-state system studies Dynamic system studies Transient system studies Protection & control system studies Power quality & earthing studies Software Solutions State-of-the-art system planning and data management Planning and simulation of power systems Planning and simulation of pipe networks Model and data management Dynamic and protection security assessments in operation Page 14

15 Overview e-mobility Actors EVSP (Electric Vehicle Service Provider ) Customer Contract EVSP** External Network Policies Legislation Standards Clearing House Service EVSE Search (Example of Business Service) Marketplace (Business to Business) MP IT Provider EVMS (EV Management System) OEM/ Fleet Op. PMS (Power Management System) CMS (Charge Management System) Municipalities/ Government Utility DSO/TSO/ Retailer/Aggregator AC DC Inductive Battery Swap EVSE* Operator EV EV Owner/ Driver **) Electric Vehicle Service Provider *) Electric Vehicle Supplier Equipment Page 15

16 Tank und Rast GmbH Strategy and implementation-concept for charging infrastructure roll-out at german highways / sites of Tank & Rast GmbH Challenge Growing number of electric vehicles and political initiatives drive demand for fast charging infrastructure on German highways Complexity of new infrastructure technologies, insufficient power grid connection, and existing IT-infrastructure Solution Definition of stakeholders, use-cases, and e-mobility business models Specification for HW-, SW- and operational requirements Business process definition and IT-Concept considering the initial situation Optimized grid connection depending on number and power of charging points Holistic extensible concept including today s and future mobility demands, grid connection, and integration of existing infrastructure Roadmap for implementation of e-mobility charging infrastructure for German highways at Tank & Rast sites Benefits Short term implementation plan with fast ramp-up of e-mobility business concept Sustainable long term e-mobility strategy for a step-wise and scalable charging infrastructure roll-out (e.g. from fast to ultra fast charging) Customer: Tank & Rast GmbH Service: e-mobility infrastructure advisory Vertical Market: Service / Infrastructure Completion: 2015 Page 16

17 Your success in e-mobility infrastructure projects depends on many aspects: Find the right answers with the support of Siemens! Who are the key stakeholders and what interests are involved? Which use cases are relevant in your business environment? How will the business model perform in different scenarios? Implementation planning What are the roles in the e-mobility ecosystem? What is your role? Which values do you like to provide and to whom? Business case Which locations should you choose for your charging infrastructure? What goals can and would you like to achieve with e-mobility? Business model design Which investment is necessary? What are the requirements for HW / SW / grid connection /? Ecosystem vision How will you fulfill these value propositions? How big is the revenue potential? How to design business processes and operation concepts? What is the legal framework? What part of the value chain will you be responsible for? What other benefits does the business model create (e.g. data)? How to achieve a seamless IT integration? Page 17

18 Implementation support: requirement analysis Overview of aspects to be considered (selection) Location Charging station Charging management system Grid connection Operating requirements Parking space Charging power Technical operating processes Maximum power Customer support Traffic management Charging plugs Interfaces to charging stations Ring main units / transformers Operations Traffic volume Standards Interfaces to backend systems Cable Hardware maintenance Driver behavior Authentication Search function for (free) charging stations Protection concept Software maintenance of CMS* Distance from grid connection Backend system (Interface) Reservation function Protection & fuses Operation and hosting of CMS* Communications (Remote access) Billing for e-mobility services Energy management Security Reporting functions Battery storage Installation * CMS = Charging Management System Page 18