distributed power grids: an exemplary study Silvan Fabender, Daniel - - PowerPoint PPT Presentation

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distributed power grids: an exemplary study Silvan Fabender, Daniel - - PowerPoint PPT Presentation

Cellular markets for distributed power grids: an exemplary study Silvan Fabender, Daniel Wittl, Janis Kaltschnee, Stefan Schroer, Eberhard Waffenschmidt Silvan Fabender 7th International Energy and Sustainability Conference 2018 Challenge


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SLIDE 1

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Cellular markets for distributed power grids: an exemplary study

Silvan Faßbender, Daniel Wittl, Janis Kaltschnee, Stefan Schroer, Eberhard Waffenschmidt

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SLIDE 2

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Challenge and Objective

 Increasing volatility between electricity generation and consumption induce more and more transmission bottlenecks  Conventional approach:

  • Avoid them by building new transmission lines

 Our approach:

  • exploit distributed nature of renewables
  • Avoid and control transmission bottlenecks
  • primarily in the lowest grid level as possible in the distribution grid and
  • secondarily in the transmission grid
  • Create a resilient System based on stable subsystems

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SLIDE 3

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

The cellular approach

 Distributed energy management systems (automation)

  • Design of an active

distribution network

 Each cell

  • primarily supplies itself
  • secondarily use transmission

to supply next higher cell level

 Open question:

  • How to orchestrate cells?

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SLIDE 4

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Market solution

 How could cellular energy markets work?

  • How can the cellular behaviour be illustrated?
  • Which market tools could affect which parameters?

 Identify Parameters that indicate the utility of certain measures

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SLIDE 5

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Market solution

 Organize and control via free market

  • How could such market look like?

 Ideas:

  • Automated pricing by a merit order
  • Differentiation of transmission distance
  • Transmission fee or local bonus

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SLIDE 6

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

 Increasing Supply list  Decreasing demand list  Market clearing price

Merit Order

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SLIDE 7

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Cellular Merit Order markets

 Cells are vertically linked  Merit Order is linked to its upper and lower Merit Orders

  • Transmission Capacities Cap(t)
  • Transmission Costs/Fees TC(t)

7 Cell C Cell D Cell E

Cell F Cell A Cell B Cell G

Cap(t) TC(t) Cap(t) TC(t) Cap(t) TC(t) Cap(t) TC(t) Cap(t) TC(t) Cap(t) TC(t)

MCP(t)

MCP(t) MCP(t)

MCP(t) MCP(t) MCP(t)

MCP(t)

Each Cell has its own market clearing price

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SLIDE 8

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Simulation Tool

 Class „Cell“

  • Properties:
  • Transmission capacity to neighboring cells
  • Own market price
  • Functions:
  • Create Merit order
  • Calculate market clearing price

 Cells only vertically linked

  • Hierarchy can be enhanced as

far as desired

 Inputs: load and price profiles

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Cell A

Cell C

Cell B

Cell D

Cell G

Cell E

Cell F

Cell X

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SLIDE 9

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Simulation example

 Greater Cell which comprise of 5 small cells A, B, C, D, E  All Cells contain suppliers and consumers, e.g.:

  • Wind park + storage
  • City + CHP plant
  • Industry + biogas plant
  • Village + PV plants

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Cell D

Greater Cell

Cell C

Superior Grid

Cell B Cell A Cell E

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SLIDE 10

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Case 1: supply surplus  Cells C & D (e.g. Cities) and the superior grid are supplied by Cell A & E (e.g. Wind & PV park)

A E Superior Grid D C

Merit Order of Greater Cell

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A E Superior Grid D C

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SLIDE 11

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Different dates: supply deficit  Cells C & D (e.g. Cities) are supplied by Cell A & E (e.g. Wind & PV park), the superior grid and Cell D partly by itself (CHP plant)

Merit Order of Greater Cell

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A E Superior Grid D C A E Superior Grid D C D

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SLIDE 12

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Fee or bonus on foreign cell trade

 Greater Cell:

  • Own subcells: A, B, C, D, E
  • Foreign trade with superior grid

 Fee on supply  Bonus on supply  Fee on demand  Bonus on demand

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A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C A E Superior Grid D C Superior Grid A E Superior Grid D C A E D C Superior Grid

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SLIDE 13

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Conclusion

 Target: Cell gets more dependent on its own resources

  • Introduce fees on foreign trade
  • Storages, flexible generators, demand response are utilized
  • Renewable supply is used directly
  • Superior cells get less stressed

 Target: Cell gets more dependent on external resources

  • Introduce bonus on foreign trade
  • Supply surpluses can be exported
  • Supply deficits can be covered
  • Superior cells get more stressed

 Cellular markets could foster the appropriate installation of

  • renewable power plants,
  • storages and
  • grid extensions

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SLIDE 14

Silvan Faßbender

7th International Energy and Sustainability Conference 2018

Thank you for listening

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Contact:

Silvan Faßbender, M. Sc. CIRE - Cologne Institute for Renewable Energy Cologne University of Applied Sciences Betzdorferstraße 2, 50679 Köln, silvan.fassbender@th-koeln.de www.th-koeln.de/personen/silvan.fassbender/