Hossein Sekhavatmanesh

Dr.
Hossein Sekhavatmanesh
Alumni
Addressing quite timely challenges in energy automation systems, while working with prestigious academic and industrial teams pushes me always forward.

Hossein Sekhavatmanesh is a senior scientist joined to the project of the National Centre of Competence in Research (NCCR) Automation in November 2020. He previously worked on the operational planning of power systems at the École polytechnique fédérale de Lausanne  (EPFL), as a PhD. During his PhD, Hossein was involved in a joing industrial-academic project, named, Smart Homes and Smart Grids. His developments during this project were published as 7 IEEE transaction journal papers and 3 peer-reviewed conference papers.

Scientific Publications

Published
Optimal control configuration in distribution network via an exact OPF relaxation method
2022 IEEE 61st Conference on Decision and Control (CDC)
Pages 5698-5704
Published
Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
IEEE Transactions on Control Systems Technology
Vol 31 No 2 Pages 497-510
to Appear
Optimal droop control placement in distribution network via an exact OPF relaxation method
61st IEEE Conference on Decision and Control (CDC 2022)

Research projects as Researcher

Title
Principal Investigators

Layout optimization for decentralized operation of a network of power converters

Summary

The project addresses the question of optimal system layout for facilitating decentralized control and optimal operation of a network of power converters with generators, storages and loads. Special emphasis is placed on the system capability of operating in a decentralized fashion to meet specific local control objectives (e.g. keeping the local voltage within prescribed limits) and system-wide control objectives (e.g. fair proportional load sharing among the inverters, provision of ancillary services). Sensitivity analysis will enable to define the boundaries of a completely decentralized structure and where adding a hierarchical level enables a significant performance improvement.

Layout optimization for decentralized operation of a network of power converters

The project addresses the question of optimal system layout for facilitating decentralized control and optimal operation of a network of power converters with generators, storages and loads. Special emphasis is placed on the system capability of operating in a decentralized fashion to meet specific local control objectives (e.g. keeping the local voltage within prescribed limits) and system-wide control objectives (e.g. fair proportional load sharing among the inverters, provision of ancillary services). Sensitivity analysis will enable to define the boundaries of a completely decentralized structure and where adding a hierarchical level enables a significant performance improvement.

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