Cost effective second generation AC-modules: Development and testing aspects

Islam, Saiful; Woyte, Achim; Belmans, Ronnie; Heskes, P.J.M.; Rooij, P.M.; Hogedoorn, Ron

doi:10.1016/j.energy.2005.10.028

Cited by 25 publications

(7 citation statements)

References 6 publications

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“…Measurements of the PCC voltage magnitude and frequency [19], [20], harmonics [21], and phase [22] are considered, separately or simultaneously [23], in order to determine the islanding condition [24]. As a drawback, it must be considered that the proper operation of passive methods under all possible load, grid, and DPGS powers cannot be guaranteed [25].…”

Section: Introductionmentioning

confidence: 99%

Wavelet-Based Islanding Detection in Grid-Connected PV Systems

Pigazo

Liserre

Mastromauro

et al. 2009

IEEE Trans. Ind. Electron.

180

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Distributed power generation systems (DPGSs) based on inverters require reliable islanding detection algorithms (passive or active) in order to determine the electrical grid status and operate the grid-connected inverter properly. These methods are based on the analysis of the DPGS voltage, current, and power in time or frequency domain. This paper proposes a time-frequency detection algorithm based on monitoring the DPGS output power considering the influence of the pulsewidth modulation, the output LCL filter, and the employed current controller. Wavelet analysis is applied to obtain time localization of the islanding condition. Simulation and experimental results show the performance of the proposed detection algorithm in comparison with existing methods.

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Section: Introductionmentioning

confidence: 99%

Wavelet-Based Islanding Detection in Grid-Connected PV Systems

Pigazo

Liserre

Mastromauro

et al. 2009

IEEE Trans. Ind. Electron.

180

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“…The passive techniques look for some parameter deviations like voltage magnitude [7], rate of change of frequency [8], harmonics [9], or Phase angle displacement [10]. In the islanding mode, these parameters vary largely at the PCC.…”

Section: Passive Islanding Methodsmentioning

confidence: 99%

Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems

2018

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Photovoltaic (PV) power grid-connected systems have the advantages of being prompt and reliable supplies of electrical power. Nevertheless, the installation and operation requirements from the grid side have to be fulfilled in order to guarantee the security of the PV system technicians and the efficiency of the power system. Particularly, the potential for "islanding" is one of the dreads that are brought about by PV grid-connected systems. To be able to tackle these concerns, this paper investigates recent islanding detection techniques and topologies for PV systems. Active islanding detection techniques apply regular disturbances to the inverter system and then analyze the output voltage or frequency to investigate the islanding and stability of the grid. If the injected disturbances influence the load voltage or frequency, the controller forces the intermediate inverter to stop sending power to the connected load. In addition, several islanding detection techniques that inject a periodical signal to the reference current that causes a change in the magnitude of inverter output voltage when islanding happens in a three-phase photovoltaic grid-connected system are discussed. The validity of the proposed technique is tested and verified through PSIM software.

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“…Advantages of this type of system are that it is easy to add modules because each module has its own DC-AC inverter and the connection to the utility is made by connecting the inverter AC field wirings together. There is also an overall improvement in system reliability because there is no single-point failure for the system (Blaabjerg et al 2004;Kjaer et al 2005;Islam et al 2005). It is a highly flexible and configurable design topology; however, prior examples of this configuration are still more costly than the conventional PV systems because of the increased number of inverters.…”

Section: General Descriptionmentioning

confidence: 99%