Optimal power flow-based reactive power control in smart distribution network using real-time cyber-physical co-simulation framework
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https://hdl.handle.net/10037/28575Date
2023-02-15Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Wagle, Raju; Sharma, Pawan; Charu, Sharma; Amin, Mohammad; Rueda, Jose Luis; Gonzalez-Longatt, FranciscoAbstract
Future distribution networks (DN) are subject to rapid load changes and high penetration of variable distributed energy resources (DER). Due to this, the DN operators face
several operational challenges, especially voltage violations. Optimal power flow (OPF)-
based reactive power control (RPC) from the smart converter (SC) is one of the viable
solutions to address such violations. However, sufficient communication and monitoring
infrastructures are not available for OPF-based RPC. With the development of the latest
information communication technology in SC, cyber-physical co-simulation (CPCS) has
been extensively used for real-time monitoring and control. Moreover, deploying OPFbased RPC using CPCS considering the controller design of SC for a realistic DN is still
a big challenge. Hence, this paper aims to mitigate voltage violations by using OPF-based
RPC in a real-time CPCS framework with multiple SCs in a realistic DN. The OPF-based
RPC is achieved by performing the CPCS framework developed in this study. The CIGRE
medium-voltage DN is considered as a test system. Real-time optimization and signal
processing are achieved by Python-based programs using a model-based toolchain of a
real-time DN solver and simulator. Real-time simulation studies showed that the proposed
method is capable of handling uncertain voltage violations in real time.
Is part of
Wagle, R. (2023). Voltage Control in Smart Distribution Network with High Integration of DERs. (Doctoral thesis). https://hdl.handle.net/10037/31869.Publisher
WileyCitation
Wagle R, Sharma P, Charu C, Amin M, Rueda JL, Gonzalez-Longatt F. Optimal power flow-based reactive power control in smart distribution network using real-time cyber-physical co-simulation framework. IET Generation, Transmission & Distribution. 2023:1-14Metadata
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