A Coordinated Voltage Control for Overvoltage Mitigation in LV Distribution Grids

Edoardo De Din, Marco Pau, Ferdinanda Ponci and Antonello Monti
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Edoardo De Din: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany
Marco Pau: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany
Ferdinanda Ponci: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany
Antonello Monti: Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany

Energies, 2020, vol. 13, issue 8, 1-20

Abstract: The design of intelligent strategies for grid management is a cost-effective solution to increase the hosting capacity of distribution grids without investing in the reinforcement of the grid assets. This paper presents a distributed voltage control algorithm to coordinate Energy Storage Systems (ESSs) and Distributed Generation (DG) in a scenario of high renewable penetration. The proposed control algorithm relies on a dual decomposition approach and aims at mitigating possible voltage rise events occurring in the Low Voltage (LV) grid by solving an optimization problem of power minimization. Instead of using local control strategies, in the proposed solution, the voltage control burden is distributed among all the available resources in the grid, which cooperate to resolve the existing voltage violations. The performance of the developed voltage control has been tested under realistic distribution grid scenarios, using stochastic load profiles together with photovoltaic generation profiles obtained in the presence of both clear sky and cloudy sky conditions. The algorithm is also compared to a strategy that considers only DG management, highlighting the benefits associated to the proposed coordination of DG and Energy Storage Systems (ESSs).

Keywords: voltage control; overvoltage mitigation; distributed energy resources; renewable energy sources; storage management; hosting capacity; distributed optimization; dual decomposition (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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