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Technische Universität München



Lehrprobe - Einführung in Smart Grids


                                   Dr. Martin Sachenbacher
                                   Technische Universität München
                                   Institut für Informatik



                                   http://www.in.tum.de/energieinformatik




14. Mai 2012
            M. Sachenbacher
                                        1
Technische Universität München



Electricity Grid Basics

            Producers
                          Consumers




            Conventional
                                                 Industry
            Power Plants




                                                 Households
                               Pumped-
                Renewable   storage Plants
                 Energy

                               Storage


14. Mai 2012
                M. Sachenbacher
                                2
Technische Universität München



Electricity Grid Assumptions

   Guiding Principle: Production follows consumption
   Basic Assumptions:
           Production is deterministic and fully controllable
           Consumption is well-understood stochastic process
           Mass effects ensure smooth consumer behavior
           Grid state is observable (frequency, voltage)
   Thus, good prediction and a bit of fine-tuning do the job
         Control energy that be subtracted or added to the grid; mostly,
          pump storage
   This was the case for several decades, but now situation
    changes rapidly




14. Mai 2012
                       M. Sachenbacher
                                     3
Technische Universität München



UK Electricity Grid Frequency 




14. Mai 2012
            M. Sachenbacher
                               4
Technische Universität München



Electricity Grid in Germany: Fundamental Changes

   Absolute priority given to (microgenerated) renewable power
   Financial incentives for renewable power above market price
   Decision to phase out nuclear power after Fukushima incident




14. Mai 2012
                M. Sachenbacher
                                   5
Technische Universität München



Challenges from Integrating Renewable Power

   Wind and solar power have much higher volatility, and this
    volatility is largely uncontrollable
   Production is now turning into a stochastic process as well
   Volatility may exceed the available control energy
   Need mechanisms for grid stabilization




14. Mai 2012
                 M. Sachenbacher
                                    6
Technische Universität München



Renewable Power affects Grid Stability

   Incident on September 6, 2010
           Drastically more solar power in the grid than predicted before
           Germany at 12 p.m.: Surplus of 7 GW
           Entire negative control energy exhausted (- 4.3 GW)
           Imported emergency reserve from neighboring countries (- 2.8 GW)
            to avoid black-out


   Number of manual interventions
           EWE in 2009: < 1 per week
           EWE in 2011: > 1 per day
           Bundesnetzagentur during winter 2010/11: 39
           Bundesnetzagentur during winter 2011/12: 197



14. Mai 2012
                      M. Sachenbacher
                                     7
Technische Universität München



What can be done?

            Producers
                          Consumers




            Conventional
                                                 Industry
            Power Plants




                                                 Households
                               Pumped-
                Renewable   storage Plants
                 Energy

                               Storage


14. Mai 2012
                M. Sachenbacher
                                8
Technische Universität München



What can be done? Storage




                                                         Source: bmvbs.de


14. Mai 2012
         M. Sachenbacher
                               9
Technische Universität München



What can be done? Consumers




                                        Source: [Wiechmann, VDE
                                        Congress 2011]




14. Mai 2012
        M. Sachenbacher
                             10
Technische Universität München



Basic Elements of Demand-Response Systems

   Short-range and medium-range prediction
    techniques for
           Electric power demand
           Solar and wind generated electric power
           Grid capacity and potential grid bottlenecks
           Voltage stability, especially for last mile
   Measurement and logging infrastructure for
    state of grid components
   Techniques to group elastic customers into
    clusters, and orchestrate their behavior
   Decision support systems for effectuating
    demand-response mechansims



14. Mai 2012
                                                                         11
                                       M. Sachenbacher
Technische Universität München



Decentralized Grid Management

   Frequency-based distributed control strategy (EN 50438) enforced
    for microgenerators in Germany in 2007
         Must shut off the output if observed frequency overshoots 50.2 Hz
   However, observation delays can lead to critical oscillations


    Source: [Berrang et al. AVACS 2012]




                         no delay
                            10s delay

14. Mai 2012
                              M. Sachenbacher
                                 12
Technische Universität München



Decentralized Grid Management

   Improved control strategy proposed by VDE (VDE-AR-N 4105)
         Linear increase/decrease of output per minute by 10%/40%,
          if frequency is observed below/above 50.2Hz
   Avoids oscillations, but may overshoot target frequency


    Source: [Berrang et al. AVACS 2012]




                         no delay
                            10s delay

14. Mai 2012
                              M. Sachenbacher
                                 13
Technische Universität München



Decentralized Grid Management

   Control strategy analogous to internet transmission protocol (TCP)
    proposed by [Berrang et al. 2012] 
         Additive increase/multiplicative decrease of output per minute by
          10%/0.67, if frequency is observed below/above 50.2Hz
   Highly dampened version of on/off-controller behavior

     Source: [Berrang et al. AVACS 2012]




                         no delay
                             10s delay

14. Mai 2012
                               M. Sachenbacher
                                 14

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Einführung in Smart Grids

  • 1. Technische Universität München Lehrprobe - Einführung in Smart Grids Dr. Martin Sachenbacher Technische Universität München Institut für Informatik http://www.in.tum.de/energieinformatik 14. Mai 2012 M. Sachenbacher 1
  • 2. Technische Universität München Electricity Grid Basics Producers Consumers Conventional Industry Power Plants Households Pumped- Renewable storage Plants Energy Storage 14. Mai 2012 M. Sachenbacher 2
  • 3. Technische Universität München Electricity Grid Assumptions   Guiding Principle: Production follows consumption   Basic Assumptions:   Production is deterministic and fully controllable   Consumption is well-understood stochastic process   Mass effects ensure smooth consumer behavior   Grid state is observable (frequency, voltage)   Thus, good prediction and a bit of fine-tuning do the job   Control energy that be subtracted or added to the grid; mostly, pump storage   This was the case for several decades, but now situation changes rapidly 14. Mai 2012 M. Sachenbacher 3
  • 4. Technische Universität München UK Electricity Grid Frequency 14. Mai 2012 M. Sachenbacher 4
  • 5. Technische Universität München Electricity Grid in Germany: Fundamental Changes   Absolute priority given to (microgenerated) renewable power   Financial incentives for renewable power above market price   Decision to phase out nuclear power after Fukushima incident 14. Mai 2012 M. Sachenbacher 5
  • 6. Technische Universität München Challenges from Integrating Renewable Power   Wind and solar power have much higher volatility, and this volatility is largely uncontrollable   Production is now turning into a stochastic process as well   Volatility may exceed the available control energy   Need mechanisms for grid stabilization 14. Mai 2012 M. Sachenbacher 6
  • 7. Technische Universität München Renewable Power affects Grid Stability   Incident on September 6, 2010   Drastically more solar power in the grid than predicted before   Germany at 12 p.m.: Surplus of 7 GW   Entire negative control energy exhausted (- 4.3 GW)   Imported emergency reserve from neighboring countries (- 2.8 GW) to avoid black-out   Number of manual interventions   EWE in 2009: < 1 per week   EWE in 2011: > 1 per day   Bundesnetzagentur during winter 2010/11: 39   Bundesnetzagentur during winter 2011/12: 197 14. Mai 2012 M. Sachenbacher 7
  • 8. Technische Universität München What can be done? Producers Consumers Conventional Industry Power Plants Households Pumped- Renewable storage Plants Energy Storage 14. Mai 2012 M. Sachenbacher 8
  • 9. Technische Universität München What can be done? Storage Source: bmvbs.de 14. Mai 2012 M. Sachenbacher 9
  • 10. Technische Universität München What can be done? Consumers Source: [Wiechmann, VDE Congress 2011] 14. Mai 2012 M. Sachenbacher 10
  • 11. Technische Universität München Basic Elements of Demand-Response Systems   Short-range and medium-range prediction techniques for   Electric power demand   Solar and wind generated electric power   Grid capacity and potential grid bottlenecks   Voltage stability, especially for last mile   Measurement and logging infrastructure for state of grid components   Techniques to group elastic customers into clusters, and orchestrate their behavior   Decision support systems for effectuating demand-response mechansims 14. Mai 2012 11 M. Sachenbacher
  • 12. Technische Universität München Decentralized Grid Management   Frequency-based distributed control strategy (EN 50438) enforced for microgenerators in Germany in 2007   Must shut off the output if observed frequency overshoots 50.2 Hz   However, observation delays can lead to critical oscillations Source: [Berrang et al. AVACS 2012] no delay 10s delay 14. Mai 2012 M. Sachenbacher 12
  • 13. Technische Universität München Decentralized Grid Management   Improved control strategy proposed by VDE (VDE-AR-N 4105)   Linear increase/decrease of output per minute by 10%/40%, if frequency is observed below/above 50.2Hz   Avoids oscillations, but may overshoot target frequency Source: [Berrang et al. AVACS 2012] no delay 10s delay 14. Mai 2012 M. Sachenbacher 13
  • 14. Technische Universität München Decentralized Grid Management   Control strategy analogous to internet transmission protocol (TCP) proposed by [Berrang et al. 2012]   Additive increase/multiplicative decrease of output per minute by 10%/0.67, if frequency is observed below/above 50.2Hz   Highly dampened version of on/off-controller behavior Source: [Berrang et al. AVACS 2012] no delay 10s delay 14. Mai 2012 M. Sachenbacher 14