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- W2912505014 abstract "The popularity of renewable energy has increased dramatically in the last decade as itbecomes increasingly apparent that an alternative to fossil fuel is required. In order for thismarket to continue to grow, there are a number of technical issues which must be overcome.One such issue is the instability of power supplies which rely on unpredictable naturalresources. A popular solution to this problem is the use of a number of complementaryrenewable power sources to create a stable power network serving a small geographicalarea. In this project, a novel control solution for such a system is proposed and modelledusing a new approach.A comprehensive review of the existing research literature was used to place in context thehybrid renewable energy concept. This included identification of a system topology as wellas the novel control solution. A model of the system has been developed using acombination of PSim and MATLAB. This model allowed for the operation of the system to besimulated and subsequently verified. Upon completion of successful system level simulationtesting, VHDL implementations of the control solution were created and incorporated into themodel. Further simulations were then carried out based on a specific hardware target, an AllProgrammable System-on-Chip (APSOC) device featuring a dual-core CPU and an FPGAfabric.The novel control solution is primarily aimed at the optimal control of the system’s powerconverters. This controller employs a Neuro-Fuzzy algorithm to provide gain scheduling for aPI type controller. The test results indicate that improvements were achieved in the stabilityof the power converters in comparison to more traditional approaches, offering improvedresponse times and a reduction of the output voltage error. Moreover, a state-basedalgorithm is utilised, which was demonstrated to ensure that the renewable energy sourcesare optimally complementary." @default.
- W2912505014 created "2019-02-21" @default.
- W2912505014 creator A5070582923 @default.
- W2912505014 date "2018-01-01" @default.
- W2912505014 modified "2023-09-25" @default.
- W2912505014 title "Conceptual development of a novel digital controller for optimised operation of a hybrid renewable energy system" @default.
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- W2912505014 hasPublicationYear "2018" @default.
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