Max Parker

Dr. Max Parker

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2012 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
MPMax Parker
Max Parker
LRLi Ran
Li Ran
SFStephen J. Finney
Stephen J. Finney
Modular generator and converter topologies are being pursued for large offshore wind turbines to achieve fault tolerance and high reliability. A centralized controller presents a single critical point of failure which has prevented a truly modular and fault-tolerant system from being obtained. This study analyzes the inverter circuit control requirements during normal operation and grid fault ride-through and proposes a distributed controller design to allow inverter modules to operate independently of each other. All the modules independently estimate the grid voltage magnitude and position, and the modules are synchronized together over a controller area network (CAN) bus. The CAN bus is also used to interleave the pulsewidth modulation switching of the modules and synchronize the analog to digital converter (ADC) sampling. The controller structure and algorithms are tested by laboratory experiments with respect to normal operation, initial synchronization to the grid, module fault tolerance, and grid fault ride-through.

18 March 2010 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
MPMax Parker
Max Parker
CNChong Ng
Chong Ng
LRLi Ran
Li Ran
A modular power electronic converter, with a cascaded H-bridge multilevel inverter, has been proposed as the grid interface for a large direct-drive wind turbine generator. The present study is to investigate the potential and requirement of fault-tolerant operation in such a system. As each module is connected to isolated generator coils, tolerance to a module or coil fault is possible if the affected module can be bypassed, whereas the control of the healthy modules can be adjusted accordingly. A boost rectifier scheme on the machine side of the power conversion stage has been developed for this purpose, featuring control of the coil current without measuring the electromotive force. A coordinated dc-link voltage controller has been developed, which can rapidly raise the dc-link voltage of the remaining modules to compensate for the loss of a module while ignoring the ripple in the dc link due to low-frequency inverter switching. The ability of the resultant system to tolerate module faults has been demonstrated on a small-scale laboratory prototype.

1 July 2013 in IET Renewable Power Generation
Verified
Journal Article
Open access
PDF file
MPMax Parker
Max Parker
OAOlimpo Anaya‐Lara
Olimpo Anaya‐Lara
Costs and losses have been calculated for several different network topologies, which centralise the turbine power electronic converters, in order to improve access for maintenance. These are divided into star topologies, where each turbine is connected individually to its own converter on a platform housing many converters, and cluster topologies, where multiple turbines are connected through a single large converter. Both AC and DC topologies were considered, along with standard string topologies for comparison. Star and cluster topologies were both found to have higher costs and losses than the string topology. In the case of the star topology, this is due to the longer cable length and higher component count. In the case of the cluster topology, this is due to the reduced energy capture from controlling turbine speeds in clusters rather than individually. DC topologies were generally found to have a lower cost and loss than AC, but the fact that the converters are not commercially available makes this advantage less certain.

1 May 2016 in IET Renewable Power Generation
Verified
Journal Article
Open access
PDF file
MPMax Parker
Max Parker
CSConaill Soraghan
Conaill Soraghan
AGAlex Giles
Alex Giles
A comparison has been made of the power electronics lifetime for 5MW horizontal‐ and vertical‐axis wind turbines, based on dynamic models supplied with generated wind speed time series. Both two‐ and three‐bladed stall‐regulated H‐rotor vertical‐axis turbines were modelled, with several different control parameters. Vertical‐axis turbines are likely to lead to a shorter power electronics lifetime as the aerodynamic torque varies with rotor azimuth, leading to a cyclic generator torque, and increased thermal cycling in the power electronics. An electro‐thermal model of a low‐voltage converter was created, and used to calculate the switching device temperatures based on the generator torque and speed time series from the turbine model. An empirical lifetime model and rainflow‐counting algorithm were used to calculate the lifetime, and this was repeated at different average wind speeds to determine the overall lifetime. The vertical‐axis turbine was found to have a lower power electronics lifetime than the horizontal‐axis, or require a larger number of parallel switching devices to achieve the same lifetime, although this was lessened by running the turbine with a more relaxed speed control, allowing the rotor inertia to partially absorb the aerodynamic torque ripple.

1 January 2017
Verified
Conference Paper
Open access
Carlos E Ugalde-LooCarlos E Ugalde-Loo
Carlos E Ugalde-Loo
OAO.D. Adeuyi
O.D. Adeuyi
SWS. Wang
S. Wang
JLJun LIANG
Jun LIANG
NJN. Jenkins
N. Jenkins
IAI. Azpiri
I. Azpiri
Decarbonisation of the European electricity system can become dauntingly costly due to transmission and distribution network issues arising from the integration of intermittent renewable generation sources. It is expected that wind energy will be the principal renewable source by 2050 and, as such, a number of initiatives in the academia and in the industry are being carried out to propose solutions to best accommodate the wind resource. This paper presents work carried out by DEMO 1 partners within the EU FP7 project BEST PATHS. A MATLAB/Simulink toolbox consisting of the necessary building blocks for the simulation and integration of offshore wind farms using enabling technologies such as multiterminal high-voltage direct-current grids is presented. To illustrate the toolbox capabilities, a number of system topologies is studied. System performance is assessed and measured against a set of key performance indicators. To ensure knowledge dissemination, the toolbox has been made available as open access in the BEST PATHS project website

1 January 2014
Verified
Conference Paper
Closed access
KGK. Givaki
K. Givaki
PJP. Jamieson
P. Jamieson
MPMax Parker
Max Parker
A comparison has been made of the converter lifetime for a 3MW fully rated converter horizontal axis wind turbine located onshore and offshore. Simulated torque and speed of the turbine shaft were used to calculate voltage and current time series, that was used to calculate the junction temperatures of the diode and IGBT in the generator-side converter by a thermal-electrical model. A rainflow counting algorithm was applied to the junction temperature in combination with an empirical model of the lifetime estimation, to calculate the lifetime of the power electronic modules in the turbine. The number of parallel modules for each location to achieve 20 years life time has also been found. Simulations show the lifetime consumption rate of the diode and IGBT is decreased exponentially by increasing number of parallel modules, lowering the average temperature. The offshore wind turbine has a higher lifetime consumption rate, requiring a slightly higher converter rating to achieve a 20-year lifetime, but this difference is small, and both turbines will use the same number of modules