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Hybrid parametric islanding detection technique for microgrid system

Jayanthi S., Xavier S. Arockia Edwin, Manoharan P. S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 1

art. no. e140101

EN

In microgrid distribution generation (DG) sources are integrated parallelly for the economic and efficient operation of a power system. This integration of DG sources may cause many challenges in a microgrid. The islanding condition is termed a condition in which the DG sources in the microgrid continue to power the load even when the grid is cut off. This islanding situation must be identified as soon as possible to avoid the collapse of the microgrid. This work presents the hybrid islanding detection technique. This technique consists of both active and parametric estimation methods such as slip mode shift frequency (SMS) and exact signal parametric rotational invariance technique (ESPRIT), respectively. This technique will easily distinguish between islanding and non-islanding events even under very low power perturbations. The proposed method also has no power quality impact. The proposed method is tested with UL741 standard test conditions.

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Simulation and Experimental validation of Distributed MPPT algorithms for partially shaded Photovoltaic systems

Muthuramalingam M, Manoharan P. S.

Przegląd Elektrotechniczny

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2014

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R. 90, nr 8

92-96

EN

This paper analyzes the performance of two different maximum power point tracking (MPPT) algorithms for photovoltaic (PV) system: artificial neural network (ANN) and adaptive neuro fuzzy inference (ANFIS) as used by an interleaved soft switching boost converter (ISSBC) system with different conditions, such as partially shaded, condition, changing solar insolation and PV cell temperature. However, under partially shaded conditions, when the PV module characteristics get more complex with multiple peaks of output power. Both algorithms are methodically investigated by means of Matlab simulation and hardware experimental validation, compare in terms of parameters tracking speed, power extraction, and harmonic analysis. In this topology, each cascaded H-bridge inverter (CHBMLI) unit is connected to an individual PV module through an interleaved soft switching boost converter (ISSBC). The simulation and hardware results show that ANFIS algorithm is outperforming than the ANN algorithm.

PL

W artykule analizowane są dwa algorytmy śledzenia maksymalnej mocy (MPPT) stosowane w systemach fotowoltaicznych: jeden (ANN) wykorzystuje sieci neuronowe a drugi wykorzystuje ANFIS. Układ pozwla na załączanie przekształtnika w zależności od warunków, np. zacienienia czy temperatury.

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Closed loop control of Diode Clamped Multilevel Inverter with Integrated Maximum Power Point Tracking for Grid Connected Photovoltaic Application

Ravi A., Manoharan P. S.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 10

230-236

EN

A Three-phase Diode clamped multilevel inverter (DCMLI) based photovoltaic system for grid connection is proposed with different maximum power point tracking (MPPT). This photovoltaic (PV) system utilizes two conversion stages: algorithm for tracking the maximum power point and a DCMLI used as an interfacing unit. The maximum power point tracking is achieved with Perturb and absorb (P&O), Incremental conductance algorithm (INC) and a fuzzy logic controller (FLC), and the DCMLI regulates the DC link voltage and synchronizes the grid voltage and current in order to achieve unity power factor operation. The proposed system provides high dynamic performance in terms of Total Harmonic Distortion (THD) and power quality injected into the grid. The validity of the proposed system is confirmed by simulations.

PL

Opisano trójfazowy przekształtnik wielopoziomowy DCMLI przystosowany do sieci fotowoltaicznej z układem śledzenia maksymalnej mocy MPPT. System wykorzystuje dwa etapy konwersji: algorytm do śledzenia maksymalnej mocy i przekształtnik użyty jako interfejs. Interfejs steruje napięciem DC i synchronizuje napięcie sieci.