Photovoltaic Devices

Ringel, S. A.; Anderson, Timothy J.; Green, Martin A.; Singh, R.; Walters, Robert J.

doi:10.1002/9781118517543.ch16

Cited by 1 publication

(1 citation statement)

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“…In the last decade, the role of distributed energy resources (DERs) in search for sustainability and a low carbon society through their grid‐integration has been drastically emphasised. This emphasis has been addressed by both academia and industries around the globe in many aspects, among them at component (device) level by improving the performance of power electronic semiconductor switches, enabling to manufacture and utilise devices with higher power handling capabilities and faster switching rates [1, 2]; at control level through the development of digital controllers [3, 4], which enable implementation of advanced control algorithms [5–7]; and at the system level by carrying out power system static and dynamic studies in presence of distributed energy systems (DESs) [8]. Thus, the switch‐model power electronic inverters in DESs play a critical role, since they are deployed as the main technology in providing controllable voltage magnitude and frequency at their outputs, enabling the flow of variable DERs to the AC‐side customer and/or AC grid.…”

Section: Introductionmentioning

confidence: 99%

Computational approach to enhance performance of photovoltaic system inverters interfaced to utility grids

Arzani

Venayagamoorthy

2017

IET Renewable Power Generation

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Switch-model power electronic inverters are heavily deployed as the main technology in enabling flow of variable DC power into the AC grid. Various distributed energy system (DES) architectures have been designed depending on many attributes including size and application of the installed system. The reliability of the power electronic interfaces (PEI), i.e. inverters is critical in all these architectures. Recent studies demonstrate enhanced operation of a PEI can be reached by optimum adjustment of its controller parameters. While conventional tuning methods are mostly based on trial and error, their optimum performance can be achieved for primarily first-order systems. For systems with increasing number of PEIs or more complexity, application of these tuning methods becomes challenging and expensive. Thus, considering the operational performance of DES, a controller self-tuning methodology has been presented for PEIs with particle swarm optimisation capability. The optimal parameters for both kW-scale and multi-megawatt PV systems' inverters are determined via a timedomain performance objective function. Typical PV system performances are presented for step changes and dynamic weather conditions. Effectiveness of the controller self-tuning methodology has been demonstrated via the reduction of transient energy, when the system is subjected to dynamic changes and disturbances.

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Section: Introductionmentioning

confidence: 99%