Frankfurt (Germany), 6-9 June 2011 Jukka Lassila – Finland – Session 6 – Paper 0773 Network Effects of Electric Vehicles Case from Nordic Country LUT Jukka.

Slides:



Advertisements
Similar presentations
Development and Operation of Active Distribution Networks: Results of CIGRE C6.11 Working Group (Paper 0311) Dr Samuel Jupe (Parsons Brinckerhoff) UK Member.
Advertisements

October 8, 2013 Eric Fox and Mike Russo. AGENDA »Recent Sales and Customer Trends »Preliminary State Sales and Demand Forecast »Building a No DSM Forecast.
Effects of high penetration levels of photovoltaic generation Observations from field data Amir Toliyat, Alexis Kwasinski and Fabian Uriarte The University.
POWERING EV GROWTH IN SANTA DELANO VALLEY
Integrating Multiple Microgrids into an Active Network Management System Presented By:Colin Gault, Smarter Grid Solutions Co-Authors:Joe Schatz, Southern.
Smart Grids for Future City May Mln Clients 45 Mln Smart Meters 30 Countries 96 GW Installed Capacity 2.
Economic assessment of electric vehicle fleets providing ancillary services Eva Szczechowicz, Thomas Pollok, Armin Schnettler RWTH Aachen University
The impacts of hourly variations of large scale wind power production in the Nordic countries on the system regulation needs Hannele Holttinen.
An Overview of Our Regulatory Proposal
Costs of Ancillary Services & Congestion Management Fedor Opadchiy Deputy Chairman of the Board.
ON DIMENSIONING LVDC NETWORK CAPACITANCIES AND IMPACT ON POWER LOSSES
Frankfurt (Germany), 6-9 June 2011 Power System Impacts from Large Scale Deployment of EV -The MERGE project – João A. Peças Lopes
Frankfurt (Germany), 6-9 June 2011 ARCHITECTURE AND FUNCTIONAL SPECIFICATIONS OF DISTRIBUTION AND TRANSMISSION CONTROL SYSTEMS TO ENABLE AND EXPLOIT ACTIVE.
AFREPREN/FWD Cogen Centre Training Workshop on Cogeneration in Africa
Frankfurt (Germany), 6-9 June 2011 Shaoqing Ying– China – RIF Session 4 – 0806 Impact of an increasing Penetration of urban Photovoltaic systems and electric.
Frankfurt (Germany), 6-9 June 2011 Zuping Zhang, Sige Liu and Huishi Liang China Electric Power Research Institute (CEPRI) 9 June 2011 The energy storage.
Frankfurt (Germany), 6-9 June 2011 SCHEDULING CHARGING OF ELECTRIC VEHICLES FOR OPTIMAL DISTRIBUTION SYSTEMS PLANNING AND OPERATION David STEEN*Anh Tuan.
Frankfurt (Germany), 6-9 June 2011 W. Niederhuemer – Austria – RIF Session 4 – Paper PROBABILISTIC PLANNING FOR A HIGHER INTEGRATION OF WIND TURBINES.
Electric vehicle integration into transmission system
G4V- Grid for vehicles Thomas Theisen RWE Analysis of the impact and possibilities of a mass introduction of electric and plug-in hybrid vehicles on the.
Frankfurt (Germany), 6-9 June 2011 Simone Botton, Fabio Cazzato, Marco Di Clerico, Domenico Di Martino, Federico Marmeggi – Enel Distribuzione SpA Simone.
Frankfurt (Germany), 6-9 June 2011 MOCCI – IT – RIF Session 5 – Paper 999 Multi-Objective analysis of Regulatory frameworks for Active Distribution Networks.
Frankfurt (Germany), 6-9 June 2011  Authors: Reinhard BREHMERWIEN ENERGIE Stromnetz GmbH - Austria Thomas SCHUSTERWIEN ENERGIE Stromnetz GmbH – Austria.
Options to Manage Electricity Demand and Increase Capacity in Santa Delano County Jon Cook Jeff Kessler Gabriel Lade Geoff Morrison Lin’s Lackeys.
Frankfurt (Germany), 6-9 June Lars Garpetun – Sweden – Session 6 – 0415 EXPERIENCES FROM OPERATIONS AFTER A FULL- SCALE SMART METERING ROLLOUT REGARDING.
Frankfurt (Germany), 6-9 June 2011 Fabio Cazzato, Simone Botton, Marco Di Clerico – Enel Distribuzione SpA Simone Botton – Italy – Session 4 – Paper ID.
Management and Organisation of Electricity Use Electrical System Optimisation Belgrade November 2003.
1 Distribution Networks For Large Cities: EPRI Research on Modelling and Analysis Roger DUGAN Sr. Technical Executive Electric Power Research Inst. US.
Oncor Electric Delivery Study on Residential Electric Vehicle Charging SWEDE Conference 2012 Ron Shipman.
Frankfurt (Germany), 6-9 June 2011 Louise Jakobsen, Danish Energy Association – Denmark – Session 3 – Paper 0811 Louise Jakobsen, Danish Energy Association.
Frankfurt (Germany), 6-9 June 2011 Osmo Siirto – Finland – Session 5 – Paper 0858 CUSTOMER DAMAGE EVALUATION AND NETWORK AUTOMATION STRATEGIES FOR DIFFERENT.
Frankfurt (Germany), 6-9 June 2011 W.Du – the Netherlands – Session 5 – 1225 MODELLING ELECTRIC VEHICLES AT RESIDENTIAL LOW VOLTAGE GRID BY MONTE CARLO.
Frankfurt (Germany), 6-9 June 2011  Chin Kim Gan, Marko Aunedi, Valdimir Stanojevic, Strbac Goran, (Imperial College)  Dave Openshaw (UK Power Networks)
MIGRATING TOWARDS A SMART DISTRIBUTION GRID Authors: Prashanth DUVOOR Ulrike SACHS Satish NATTI Siemens PTI.
Frankfurt (Germany), 6-9 June Astrid Petterteig, SINTEF Energy Research, Norway – Paper 0840 Presented by Dag Eirik Nordgård, SINTEF Energy Research.
1 The Tipping Point macro forces are converging to create a revolutionary “Tipping Point” within 5 years change will be fast –
Integration of electric vehicles to the distribution grid Nina Wahl Gunderson and Kjell Sand SINTEF Energy Research Norway.
Frankfurt (Germany), 6-9 June 2011 Marcus R. Carvalho – Brazil – RIF Session 5 – Paper ID 0728 LONG TERM PLANNING BASED ON THE PREDICTION AND ANALYSIS.
1 Grid Impact of PEV Charging Possible Consequences Jan Berman Sr. Director, Policy & Integrated Planning Integrated Demand Side Management Customer Care.
Congestion Management with Electrical Vehicles ECN PowerMatcher Team.
IEA INTERNATIONAL ENERGY AGENCY PHOTOVOLTAIC POWER SYSTEMS PROGRAMME Tables and Figures IEA-PVPS Self-Consumption Policies 2016 The Red Oak Park a neighborhood.
Tomislav BARICEVIC HR Session 5 – Block 2 – Question 28 Barcelona May UNIFIED REGIONAL PLANNING OF ELECTRICITY AND GAS DISTRIBUTION NETWORK.
Parallel seasonal approach for electrical load forecasting. Presented by: Oussama Ahmia Authors : Oussama Ahmia & Nadir Farah ITISE2015 ITISE 2015, Granada,
ELEC-E8422 Introduction to Electrical Energy Systems
Economic Operation of Power Systems
Summary of Traffic Conditions I210-E
Distribution Loss Factors for Cost To Serve study
JANUARY FEBRUARY MARCH APRIL MAY JUNE JULY AUGUST SEPTEMBER
JANUARY FEBRUARY MARCH APRIL MAY JUNE JULY AUGUST SEPTEMBER
Solar City: Effect of Solar Technologies on Network Performance
Future Challenges For Metropolises
City of Lebanon, Missouri Electric Department
Flexibility of electric vehicle (EV) demand - a case study
MON TUE WED THU
The network value of distributed generation
JANUARY FEBRUARY MARCH APRIL MAY JUNE JULY AUGUST SEPTEMBER
ANNUAL CALENDAR HOLIDAYS JANUARY FEBRUARY MARCH APRIL MAY JUNE
HOLIDAYS ANNUAL CALENDAR JANUARY FEBRUARY MARCH APRIL MAY JUNE
Sami Repo Tampere University of Technology FINLAND
HOLIDAYS ANNUAL CALENDAR JANUARY FEBRUARY MARCH APRIL MAY JUNE
2008 Calendar.
The Road to Zero: Energy System Challenges and Opportunities
Sun Mon Tue Wed Thu Fri Sat
Sun Mon Tue Wed Thu Fri Sat
1/○~1/○ weekly schedule MON TUE WED THU FRI SAT SUN MEMO
2016 | 10 OCT SUN MON TUE WED THU FRI SAT
Sun Mon Tue Wed Thu Fri Sat
Meeting the challenge: Electrification and Climate Change
ELEC-E Smart Grid Demand Response of EV Loads
2008 Calendar.
Presentation transcript:

Frankfurt (Germany), 6-9 June 2011 Jukka Lassila – Finland – Session 6 – Paper 0773 Network Effects of Electric Vehicles Case from Nordic Country LUT Jukka Lassila Juha Haakana Jarmo Partanen Fortum Kari Koivuranta Saara Peltonen

Frankfurt (Germany), 6-9 June 2011 Key questions Jukka Lassila – Finland – Session 6 – Paper 0773 Defining of technical (MW) and economical (€) effects in electricity distribution networks -Classification of information used in analysis -Defining of charging curves for electric vehicles -Developing power flow calculation -Defining of marginal cost of the present network +MW +€

Frankfurt (Germany), 6-9 June 2011 City Rural area Urban area Case area o Located in Fortum Distribution network, Finland o 20 kV network (6 feeders) from city, urban and rural areas o Peak load on the feeder*: 3.6–8 MW /feeder o Annual energy*: 10–32 GWh /feeder o Number of delivery sites: 390–5200 /feeder o Estimated number of cars: 980–4000 /feeder * Without electric vehicles Jukka Lassila – Finland – Session 6 – Paper 0773 EV information: -Driving distance: 50 km/day per car -Consumption: 0.2 kWh/km -Charging power: 3.6 kW/car

Frankfurt (Germany), 6-9 June 2011 Hour Workdays Weekends Number of cars Present load curve of the medium-voltage feeder (peak week of the year, without EVs) Estimation of amount of EVs charged during the day on the feeder Peak power [kW] Mon Tue Wed Thu Fri Sat Sun Evening Day Night Morning

Frankfurt (Germany), 6-9 June 2011 Load curves with EVs (100% and 50%) Present load In residential area (urban area) evening and night- hours are the most challenging from the network capacity point of view

Frankfurt (Germany), 6-9 June 2011 One-year load curve with EVs (the topmost curve) from the feeder. The bottom curve illustrates the powers without EVs. The curves include the peak powers of each day; the minimum loads of the days are not presented. One-year load curve with EVs

Frankfurt (Germany), 6-9 June 2011

Reinforcement costs (method of marginal cost) Network value compared with the peak -low-voltage networks 360 €/kW -medium-voltage network 230 €/kW -primary substation level 100 €/kW Power flow Peak power An example of defining required reinforcement investments on the medium voltage feeder 20 kV feeder (Feeder 1) -Present peak load of the day: 5.6 MW -Additional power because of EVs: +2.0 MW - Average marginal cost: 230 €/kW  Estimated need for reinforcement: 230 €/kW x 2000 kW = €

Frankfurt (Germany), 6-9 June 2011 Summary of the feeder-specific results Total additional load without load control for the case feeders in the MV- network is 10.3 MW. An estimation for reinforcement needs is 2.4 M€. When the reinforcements of the LV-networks and 110/20 kV primary substations are taken into account, the total reinforcement investments will be 7 M€. Replacement value of the case network would increase by 41 % from the present 17 M€ to 24 M€.

Frankfurt (Germany), 6-9 June 2011 Optimised charging (red curve) for the feeder. All the energy for EVs can be taken from the network without increasing the present peak power. Optimised charging There is demand for Smart Grid functions to optimise charging of electric vehicles. With successful optimisation reinforcement of 7 M€ could be avoided in this case area.

Frankfurt (Germany), 6-9 June 2011 Summary of the study  Intelligent control of charging of EVs is strongly recommended in order to avoid a) unnecessary reinforcement investments and b) an increase in distribution fees paid by the end-customers  Without intelligent control of charging, the load growth can be significant, varying from 20 to 50 % in the case feeders  With intelligent charging (smart grids) most of the reinforcement investment could be avoided or delayed  To understand the network effects of EVs, the present electrotechnical condition of the distribution network has to be studied first, and careful estimation of the penetration schedule has to be made  More efforts have to put for developing charging profiles which consists both normal household consumption load curve and EV charging curve for different purposes Jukka Lassila – Finland – Session 6 – Paper 0773

Frankfurt (Germany), 6-9 June 2011 Jukka Lassila – Finland – Session 6 – Paper 0773