Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids
Edoardo De Din,
Fabian Bigalke,
Marco Pau,
Ferdinanda Ponci and
Antonello Monti
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Edoardo De Din: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Fabian Bigalke: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Marco Pau: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Ferdinanda Ponci: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Antonello Monti: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany
Energies, 2021, vol. 14, issue 7, 1-23
Abstract:
The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. The multi-timescale solution is based on three levels that coordinate Distributed Generation (DG) and Energy Storage Systems (ESSs), but differs in terms of the timescales and objectives of the control levels. Realistic load and photovoltaic generation profiles were created for cloudy and clean sky conditions to evaluate the performance features of the multi-timescale framework. The proposed solution was also compared with different frameworks featuring two of the three levels, to highlight the contribution of the combination of the three levels in achieving the best performance.
Keywords: voltage control; model predictive control; distributed energy resources; renewable energy sources; storage management; active distribution grids (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:7:p:1965-:d:528860
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