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The Water Energy Nexus: Improved Emergency Grid Restoration with DERs

Pietsch, Martin ; Steinke, Florian (2022):
The Water Energy Nexus: Improved Emergency Grid Restoration with DERs.
22nd Power Systems Computation Conference (PSCC 2022), Porto, Portugal, 27.06-01.07.2022, [Conference or Workshop Item]

Abstract

Water networks as critical infrastructures typically feature emergency electricity generators for bridging short power blackouts. We propose to combine these black start capable generators with available distributed energy resources (DERs) in the power grid, often photovoltaic generation, to jointly restore both the electricity and the water grid after blackouts. This is mutually beneficial for both networks since common grid- following inverters of DERs cannot supply power without a grid- forming nucleus. We model both grids as a coupled graph and formulate a stochastic mixed-integer linear program to determine optimal switch placement and/or switching sequences. Limited fuel and power availabilities, grid-forming constraints, storages, and an even distribution of available resources are considered. By minimizing the number of switching devices and switching events we target manual operability. The proposed method extends the time that can be bridged until a full restoration of the main power grid is achieved. For a small example, we demonstrate that given enough solar radiation our solution can double the water supply duration compared to using the generators only for the water network, while additionally resupplying almost half of the electricity demand. Algorithmic scaling is validated with a combination of the IEEE 123-bus test feeder and the D-Town water network.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Pietsch, Martin ; Steinke, Florian
Title: The Water Energy Nexus: Improved Emergency Grid Restoration with DERs
Language: English
Abstract:

Water networks as critical infrastructures typically feature emergency electricity generators for bridging short power blackouts. We propose to combine these black start capable generators with available distributed energy resources (DERs) in the power grid, often photovoltaic generation, to jointly restore both the electricity and the water grid after blackouts. This is mutually beneficial for both networks since common grid- following inverters of DERs cannot supply power without a grid- forming nucleus. We model both grids as a coupled graph and formulate a stochastic mixed-integer linear program to determine optimal switch placement and/or switching sequences. Limited fuel and power availabilities, grid-forming constraints, storages, and an even distribution of available resources are considered. By minimizing the number of switching devices and switching events we target manual operability. The proposed method extends the time that can be bridged until a full restoration of the main power grid is achieved. For a small example, we demonstrate that given enough solar radiation our solution can double the water supply duration compared to using the generators only for the water network, while additionally resupplying almost half of the electricity demand. Algorithmic scaling is validated with a combination of the IEEE 123-bus test feeder and the D-Town water network.

Uncontrolled Keywords: emergenCITY_CPS
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Energy Information Networks and Systems Lab (EINS)
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Forschungsfelder
Forschungsfelder > Energy and Environment
Forschungsfelder > Energy and Environment > Integrated Energy Systems
Event Title: 22nd Power Systems Computation Conference (PSCC 2022)
Event Location: Porto, Portugal
Event Dates: 27.06-01.07.2022
Date Deposited: 07 Jul 2022 09:29
URL / URN: https://pscc.epfl.ch/rms/modules/request.php?module=oc_progr...
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