This doctoral research aims to explore the effects of operating conditions on PQ disturbances in HRES through simulations and experiments. Using MATLAB simulations and data from the Australian Bureau of Meteorology, the study assesses the impact of weather conditions and load types on PQ. Findings indicate that variations in irradiance and wind speed significantly affect THD values, with lower irradiance and wind speed increasing THD by 13% and 10%, respectively. Non-linear loads also increase THD by 15%. The experimental setup in Kingswood, confirmed these results. Different loads, including electronic devices, were tested, showing varied impacts on PQ. For instance, non-linear loads increased THD by 13%. The research highlights the importance of considering diverse load characteristics in PQ analysis and proposes hybrid filters with AI algorithms for PQ mitigation. These measures can enhance PQ, increase system efficiency, and reduce operational costs, supporting the integration of renewable energy into power grids. In conclusion, this research provides valuable insights into PQ in HRES, guiding improved monitoring techniques and efficient HRES design, facilitating the adoption of renewable energy technologies and the transition towards sustainable power systems. the form of treatment (p=<0.001) raising its potential as a biomarker of maternal diabetes. Chapter 5 corroborates the finding of a previous study that low free carnitine levels in NBS are associated with the later development of type 1 diabetes in childhood (p=0.018), and demonstrates for the first time elevated levels of IRT in NBS results of infants who later develop type 1 diabetes (p=0.045 primary analysis; p=0.84 post hoc), providing further knowledge on the association with both exocrine and endocrine components of the pancreas in the pathogenesis of type 1 diabetes. Chapter 6 then discusses the results of the individual studies as a whole, and the broader implications on the pathophysiology of diabetes and diabetes research. The use of technology in this age of personalised medicine has risen exponentially, with focus on discovery of new and novel biomarkers. However, there is still much to learn and understand regarding metabolic networks and how they influence health and disease. In addition to validating our earlier hypotheses presented during the confirmation of candidature, we have demonstrated that there is value in using tried and tested technology (eg NBS) to better understand disease pathophysiology.
Monitoring and analysis of power quality disturbances caused by hybrid renewable energy systems
Shah, S. (Author). 2023
Western Sydney University thesis: Doctoral thesis