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Planning and Control in Smart Grids

Planning and Control in Smart Grids. Johann Hurink Department of applied mathematics. Uses electricity (2-5 kVA) Produces heat (aCOP ≥ 3.8) Combined with heat buffer. Example Heat Pumps. Example: Heat Pumps. Use of a home controller. When to run the heat pump? If needed

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Planning and Control in Smart Grids

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  1. Planning and Control in Smart Grids Johann Hurink Department of appliedmathematics

  2. Uses electricity (2-5 kVA) Produces heat (aCOP ≥ 3.8) Combined with heat buffer Example Heat Pumps

  3. Example: Heat Pumps Use of a home controller • When to run the heat pump? • If needed • If prize is low • If locally electricity is produced • If no other (large) appliances are running • Based on the content of the heat store • Based on the content of a battery • Based on the heat demand in the (near) future • Based on agreed profiles (e.g. day ahead market) • …. Math inside! Flexible prediction, planning and control methods are needed

  4. Example: Heat Pumps Is local control in homes sufficient? • Home Controllers optimize based on local objectives! • ? •  Smart Grids

  5. Example: Heats Pumps use case 100 Heat pumps Price signals may even worsen the situation!

  6. Example: Heats Pumps use case Heat pumps: Grid dimensioning • Toersche, H.A., Bakker, V., Molderink, A., Nykamp, S., Hurink, J.L., Smit, G.J.M. (2012) Controlling the heating mode of heat pumps with the TRIANA three step methodology. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp. 1-7 • Nykamp, S.,Molderink, A., Bakker,V., Toersche, H.A., Hurink, J.L., Smit, G.J.M. (2012) Integration of Heat Pumps in Distribution Grids: Economic Motivation for Grid Control, accepted for IEEE ISGT Europe, Berlin.

  7. Example: storage Competition or cooperation of stakeholders • storage asset • Power: 2 MW • Capacity: 8 MWh

  8. Example: storage Competition or cooperation of stakeholders • Scenario’s: • No storage • Optimization for grid purposes • Peak shaving • Optimization for arbitrage purposes • Day ahead market • Optimization for arbitrage purposes • Intraday market

  9. Example: storage Competition or cooperation of stakeholders

  10. Example: storage Competition or cooperation of stakeholders • Combine grid and arbitrage purpose • To realize these potentials we need: Math inside! prediction, planning and control methods • S. Nykamp, M.G.C. Bosman, A. Molderink, J.L. Hurink, G.J.M. Smit: (2012) Value of distributed storage - competition or cooperation of stakeholders?, submitted to IEEE Transaction s on Smart Grid

  11. Lessons learned • Combination of locally good solutions ≠ globally good solution • Different stakeholders lead to different solutions • Different levels have to interact • Devise • Houses • Micro grids • Macro grids • …. • Within a level cooperation is needed • Flexible planning and control methods are needed

  12. TRIANA DISTRIBUTED CONTROL methodologyof the university of Twente Levelled Approach Exploit distributed computational power & communication limitations Solve as locally as possible ... ...

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