We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byFranklin Trygg
Modified over 2 years ago
© Q3 Energieelektronik GmbH Page 1 Monitoring and Operation of PV-Battery Systems Daniel Föhr, M.Eng. Product Manger Energy Systems Q3 Energieelektronik GmbH
© Q3 Energieelektronik GmbH Page 2 Content The QBEE Energy System Determine load profiles Recording methods and quality of load profiles Requirements of intelligent PV-battery systems Advantages of monitoring PV-battery systems Outlook – From PV to Smart Grid
© Q3 Energieelektronik GmbH Page 3 QBEE – The Energy System Maximum usage of own PV energy by minimal purchased power For new installations For existing installations State of the art lithium-ion technology Compact and powerful
© Q3 Energieelektronik GmbH Page 4 Setup and components of the QBEE Energy System 1.5 kW bidirectional inverter Suitable for photovoltaic and wind energy with integrated charge controller and energy management Battery With integrated battery management system with 2.0 / 4.0 / 8.0 kWh Grid Sensor Monitoring the input and reference power of all thre phases
© Q3 Energieelektronik GmbH Page 5 QBEE as DC/AC coupled system Installation as a retrofit for an exisiting system or with an additional PV generator. In this case the battery can be charged via the DC input and/or over the AC connection.
© Q3 Energieelektronik GmbH Page 6 Determine of load profiles Determine of the load profile is essential for the battery system layout The layout of the ideal PV generator and the matching storage capacity for each individual household gets more and more complex Do not store more than necessary! Oversized batteries can rarely be exploited Unused capacity increase costs per kW The base load capacity determines the storage capacity
© Q3 Energieelektronik GmbH Page 7 Consumption behaviour During the day almost never at home Consumption mainly at night. At daytime long time to charge. High storage potential, no large-scale PV generator needed Partially working Consumption is distributed relatively evenly. Tuned mix of PV and Battery Family with children Consumption is highest during the day. Less excess energy available for loading. Large PV generator for natural self-consumption Consumption behavior can be divided into categories
© Q3 Energieelektronik GmbH Page 8 Determine of load profiles QBEE GridSensor Inductive power measurement of all three phases. No separation of the lines needed. Easy DIN rail mounting in the meter cupboard. Ideal for determining an accurate statement: One year measurement with a time resolution of 1 second and irradiation data
© Q3 Energieelektronik GmbH Page 9 Standard load profile Example of a standard load profile (H0) with average values of 15 minutes Source: BDEW
© Q3 Energieelektronik GmbH Page 10 Individual load profile Example of an individual load profile with pulsed loads in a temporal resolution of 1 second
© Q3 Energieelektronik GmbH Page 11 Alternative method – consumption behavior by consumer groups ▪ On the basis of the yearly load consumption a standar load profil is scaled ▪ Merge into main consumer groups ▪ Determine of percentage weighing and tempral distribution ▪ Accuracy of +/- 10%
© Q3 Energieelektronik GmbH Page 12 Advantages of Monitoring PV-Battery Systems Requirements: Fast acting battery system and cell technology Communication interface between EMS and BMS Interface for external variables Interface for Demand Site Management Bidirectional communication link for external
© Q3 Energieelektronik GmbH Page 13 Battery System with Forecasting EMS BMS Forecasts Generator and load models Load profile for battery system Battery model SOC forecast Communication interface between EMS and BMS Weather forecast/ Market price prediction Forecast and determine of load profiles Optimized operation of battery management SOC prediction in dependence on load profile forecast
© Q3 Energieelektronik GmbH Page 14 Dynamic control of EEG regulations Dynamic 70 or 60% regulation according to the EEG considering: Entire house load AC-coupled battery system as an intelligent load Additional access load
© Q3 Energieelektronik GmbH Page 15 Demand site management Excessive energy consumers: e.g. white goods, hot water don‘t need to be supplied by the battery system Monitoring of PV-Forecast Deposited load profile Link with Home Automation System Shift consumption in peak PV production time Increase natural self-consumption Relief of public grid and battery
© Q3 Energieelektronik GmbH Page 16 Purchase and Sale of Electricity PV electricity can be offered profitable outside the EEG market regulations. In combination with battery, monitoring an forecasts: Determine excess energy/demand Supply security for the time period Voltage stability in case of short-term weather changes PV systems can combine to generate a virtual power plant and use their backup capacity for short term trading at the EEX. Source: Solarworld
© Q3 Energieelektronik GmbH Page 17 Offering balancing energy Based on the monitoring data also unused storage capacity can be identified Receptive systems can have a positive effect on the grid by providing balancing energy: If they are able to obtain and delivery energy in times of grid overload. In combination with a bidirectional connection a lucrative market model for the expiring EEG. E.g. municipal utilities are eager to regulate their power within their own grid. PV-battery systems can also act as a virtual power plant Source: next-kraftwerke.de Short term trading with virtual power plants
© Q3 Energieelektronik GmbH Page 18 Conventional Storage Conventional storage has no relief effect for the public grid Maximum feed-in into the grid Charge till battery is full Consumption of PV electricity Peak production goes directly into the grid Source: BSW
© Q3 Energieelektronik GmbH Page 19 Grid optimized charging Charge when much electricity is generated Reduced feed-in into the public grid Low feed-in power increases local grid capacity Combinded with an PV forecast the battery systems can contribute to: Regulating the voltage on local low voltage grid Regulating the frequency in the whole European grid Source: BSW
© Q3 Energieelektronik GmbH Page 20 Outlook – From PV to the Smart Grid PHOTOVOLTAIC Feed-in 70% Regulation/Load management Power Balancing/Reactive power control Supervision & Control SMART GRID Intelligent purchase and sale of electricity Supply of positive and negative control power Load Management (E-Mobility Devices) SMART HOME Energy management - Energy saving - Intelligent energy distribution - Demand site management Link with Home Automation System Emergency supply Hot water preparation Quelle:
© Q3 Energieelektronik GmbH Page 21 Q3 Energieelektronik GmbH & Co. KG Daniel Föhr Product Manager for Energy Systems Marktplatz Biberach Germany Mail Web Thank you for your attention
Daniela Velte & Angel Diaz - Tecnalia Research & Innovation Brussels, 12 April 2012 TECHNO-ECONOMIC ANALYSIS OF SMART GRIDS.
Logistic Management in Renewable Energy Industry e-Course Introduction ELOMPRES LdV Transfer of Innovation.
Melanie Degel – IZT presented by Stefano Faberi – ISIS Brussels, 12 April 2012 Smart grid energy business.
EE580 – Solar Cells Todd J. Kaiser Lecture 09 Photovoltaic Systems 1Montana State University: Solar Cells Lecture 9: PV Systems.
1 Chapter 12: Green Data Centers Yan Zhang and Nirwan Ansari Advanced Networking Laboratory New Jersey Institute of Technology Newark, NJ HANDBOOK.
Making Clean Local Energy Accessible Now September 12, 2013 Enhances System Reliability & Efficiency Distributed Generation + Intelligent Grid (DG+IG)
The Regulatory Assistance Project China EU India United States Is It Smart if Its Not Clean? State Policies for Smart Grid Investments Lisa Schwartz Business.
TRAINING FOR OLADE`S MEMBER COUNTRIES COURSE CAPEV By César Angeles-Camacho Instituto de Ingenieria, UNAM DESIGN AND IMPLEMENTATION.
Restricted & Confidential1 October 17, Energy Climate Workshop November 3, 2008 Washington DC Building a Smart Grid: A National Priority.
Quality management in local biomass district heating systems Impressions from the technical advisory visits to UK and Slovenia.
CONURBANT - IEE/10/380/SI An inclusive peer-to-peer approach to involve EU CONURBations and wide areas in participating to the.
Management and Control of Domestic Smart Grid Technology IEEE Transactions on Smart Grid, Sep Albert Molderink, Vincent Bakker Yong Zhou
© 2011 IBM Corporation Pricing for Retail Electricity INFORMS Revenue Management & Pricing Section Conference John Quillinan – IBM Global Business Services.
Energy Storage Due Diligence WEDNESDAY, January 26, 2011 The Role of Energy Storage in PV Projects PRODUCED BY EUCI January 31, 2011.
A Common Framework for Defining and Measuring Retail Demand Response Prepared for NAESB Meeting, February 12, 2009 Prepared by Bernie Neenan EPRI.
1 1 Accounting The Make up of Costs Dr Clive Vlieland-Boddy.
1 European Commissions Green Paper on Energy European Parliament - Brussels, 18 September 2006 WHEN AN EFFECTIVE EU ENERGY POLICY? A. Clerici WEC / ABB.
Geneva, 9 January 2012 Deliverables; Overview, Terminology and Use Cases Hyungsoo (Hans) KIM Vice-chair FG Smart (KT, Korea) Workshop on Focus Group on.
Draft Framework Guidelines on SYSTEM OPERATION Public Workshop , ACER/Ljubljana Dr. Christine Materazzi-Wagner Project Manager, E-Control.
MyPower Pricing Pilot Final Findings myPower Pricing Pilot Segments Final Evaluation Report Presentation at National Town Meeting on Demand Response Washington,
© Tantalus Systems Corp. COMMUNICATIONS FOR THE SMART GRID SMART GRID IMPLICATIONS FOR CABLE OPERATORS Matt Haile Tantalus
1 North American Energy Standards Board Overview of NAESB SGTF Recommendations for NIST PAPs 03, 04 & 09 NAESB Board Meeting June 24, 2010.
The 3rd Electric Generation Supplier (EGS) Conference Wednesday, May 16, 2012 ArtsQuest – Steel Stacks 101 Founders Way Bethlehem, Pennsylvania
ISO New England Demand Resource Measurement & Verification Standards Manual Overview April 11, 2007 NAESB Development of DSM/EE Business Practices Washington,
1 AEPs gridSMART sm Strategy & Technologies IEEE Meeting February 24, 2011 Richard Greer.
Schneider Electric Energy Solutions: Make the Most of your Energy.
TRAINING MATERIALS Output of the REZIPE project.
ISTITUTO EUROPEO DESIGN Master MSP in Lighting Design Milano, 5 Oct Slide: 1 Dr. Alfio Galatà Efficient Design for Indoor Comfort and Energy Saving.
Software Tools Supporting Village Power System Design Jean Ku APEC Village Power Workshop November 9, 2004.
© 2016 SlidePlayer.com Inc. All rights reserved.