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@PHDTHESIS{Musa:766781,
author = {Musa, Aysar A Aydan},
othercontributors = {Monti, Antonello and Moser, Albert},
title = {{A}dvanced control strategies for stability enhancement of
future hybrid {AC}/{DC} networks; 1. {A}uflage},
volume = {72},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {E.ON Energy Research Center, RWTH Aachen University},
reportid = {RWTH-2019-08321},
series = {E.ON Energy Research Center : ACS, Automation of complex
power systems},
pages = {1 Online-Ressource (ix, 175 Seiten) : Diagramme},
year = {2019},
note = {Auch veröffentlicht auf dem Publikationsserver der RWTH
Aachen University; Dissertation, RWTH Aachen University,
2019},
abstract = {The continuous integration and deployment of renewable
energy systems, alongside the increasing interest in
international power exchange have brought a great interest
into HVDC systems to play as the energy hub for bulk power
transfer in future hybrid interconnected ac/dc networks.
This constitutes a key step in the development of future
energy infrastructure towards sustainable and affordable
energy. However, the resulting ac/dc complexsystems pose
critical challenges to system operation, control and dynamic
performance. This is due to inherent system nonlinearities,
likely external disturbances and low-inertia system
operation. In this regard, advanced and robust control
strategies are of importance to tackle such system
challenges. The goal is to achieve reliable system
operation, enhanced system stability and dynamic
performance, robust and consistent control performance
against external disturbances and system parameter changes,
and adaptive participation of HVDC-connected ac grids in
providing frequency support to the disturbed ac grid. In
this work, a comprehensive model of hybrid ac/dc network is
developed based on three main subsystems: onshore ac grids,
multi-terminal HVDC (MTDC) grid, and offshore wind farms.
The aim is to develop a sophisticated model as a base for a
precise study and validation of proposed control strategies.
These control strategies are classified according to their
role and application. For MTDC grid, the Predictive Sliding
Mode Control (PSMC) and Improved Synergetic Control (ISC)
are proposed. The voltage-power droop mode is introduced in
the control of grid-tied HVDC converters for the purpose of
wind power sharing among the onshore ac grids. To achieve
optimal control performance, the Particle Swarm Optimization
method is used to search for the optimal control parameters.
The proposed PSMC and ISC fulfill the objectives of damped
and enhanced transient performance, adequate wind power
sharing, and control robustness against external
disturbances and system parameter changes. According to the
European network codes on HVDC connection, HVDC systems are
expected to participate in system frequency support. This
can be done by redirecting a fixed amount of active power
from the HVDC-connected ac grids to support the affected
(disturbed) grid. However, the role of HVDC systems with
respect to the participation mechanism is not explicitly
defined for future low-inertia (weak) ac grids, for which
every ac grid will likely have different power reserve,
demand, technical characteristics and constraints. In this
regard, this dissertation proposes innovative frequency
control strategies for grid-tied HVDC converters, named
Multi-Agent-based Intelligent Frequency Control (MA-IFC) and
Linear Swing Dynamic-based Virtual Synchronous Generator
(LSD-VSG). The aim is to enable the weak and stiff ac grids
to provide intelligent and adaptive frequency support
without compromising their local frequency stability. This
results in a systematic enhancement in frequency stability,
particularly in the disturbed and weak ac grids. Also, to
define new role and behavior for HVDC systems in supporting
and strengthening of ac grids, based on LSD concept.
Comprehensive test scenarios are conducted on hybrid ac/dc
network to validate the proposed control strategies. The
simulation results proved the effectiveness, superior
robustness, and enhanced performance of the proposed control
strategies in comparison with classical schemes.},
cin = {616310 / 080052},
ddc = {621.3},
cid = {$I:(DE-82)616310_20140620$ / $I:(DE-82)080052_20160101$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2019-08321},
url = {https://publications.rwth-aachen.de/record/766781},
}
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