High power quality maximum power point tracking-based islanding detection method for grid-connected photovoltaic systems. (October 2021)
- Record Type:
- Journal Article
- Title:
- High power quality maximum power point tracking-based islanding detection method for grid-connected photovoltaic systems. (October 2021)
- Main Title:
- High power quality maximum power point tracking-based islanding detection method for grid-connected photovoltaic systems
- Authors:
- Bakhshi-Jafarabadi, Reza
Sadeh, Javad
Rakhshani, Elyas
Popov, Marjan - Abstract:
- Highlights: High power quality MPPT based-islanding detection method is presented. Accurate islanding detection within the 137 ms is observed. Acceptable total demand distortion and harmonic spectra are met in compliance with the existing standards under various power penetrations. The efficiency drops by 0.52% whilst the disturbance is stimulated once a minut. Abstract: Islanding is a condition when distributed generators (DGs) are disconnected electrically from the upstream network. This unwanted situation should be detected effectively to ensure the safety of the maintenance staffs and power quality (PQ) requirements. This paper presents a new high PQ maximum power point tracking (MPPT)-based methodology for detecting the islanding operating mode of grid-connected photovoltaic systems (GCPVSs). In the recommended two-level scheme, a disturbance is injected into the MPPT algorithm under suspicious conditions, recognized by a passive criterion. This disturbance declines the DG active power output remarkably, drifting the output voltage beyond the minimum standard set in islanding state while its impact is negligible at the network presence. The effectiveness of the proposed technique has been evaluated through several hardware-in-the-loop simulations for a case study system, containing two power plant GCPVSs equipped with a pair of multi-functional relays. The results highlight precise islanding classification within 137 ms with the small non-detection zone. Moreover, theHighlights: High power quality MPPT based-islanding detection method is presented. Accurate islanding detection within the 137 ms is observed. Acceptable total demand distortion and harmonic spectra are met in compliance with the existing standards under various power penetrations. The efficiency drops by 0.52% whilst the disturbance is stimulated once a minut. Abstract: Islanding is a condition when distributed generators (DGs) are disconnected electrically from the upstream network. This unwanted situation should be detected effectively to ensure the safety of the maintenance staffs and power quality (PQ) requirements. This paper presents a new high PQ maximum power point tracking (MPPT)-based methodology for detecting the islanding operating mode of grid-connected photovoltaic systems (GCPVSs). In the recommended two-level scheme, a disturbance is injected into the MPPT algorithm under suspicious conditions, recognized by a passive criterion. This disturbance declines the DG active power output remarkably, drifting the output voltage beyond the minimum standard set in islanding state while its impact is negligible at the network presence. The effectiveness of the proposed technique has been evaluated through several hardware-in-the-loop simulations for a case study system, containing two power plant GCPVSs equipped with a pair of multi-functional relays. The results highlight precise islanding classification within 137 ms with the small non-detection zone. Moreover, the results of PQ analyses indicate acceptable total demand distortion and harmonic spectra of the output current in compliance with the existing standards under various DG power penetrations. Since the presented scheme diminishes the active power output in case of suspicious islanding events, its influence on GCPVS efficiency has been studied as well. The outputs underline that the efficiency drops by 0.52% whilst the disturbance is stimulated every minute of the time. It is finally concluded that the proposed technique provides a reliable islanding classification as well as insignificant degradation of PQ and efficiency. … (more)
- Is Part Of:
- International journal of electrical power & energy systems. Volume 131(2021)
- Journal:
- International journal of electrical power & energy systems
- Issue:
- Volume 131(2021)
- Issue Display:
- Volume 131, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 131
- Issue:
- 2021
- Issue Sort Value:
- 2021-0131-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Grid-connected photovoltaic system (GCPVS) -- Islanding detection -- Efficiency -- Maximum power point tracking (MPPT) -- Power quality (PQ) -- Non-detection zone (NDZ)
Electrical engineering -- Periodicals
Electric power systems -- Periodicals
Électrotechnique -- Périodiques
Réseaux électriques (Énergie) -- Périodiques
Electric power systems
Electrical engineering
Periodicals
621.3 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01420615 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijepes.2021.107103 ↗
- Languages:
- English
- ISSNs:
- 0142-0615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.220000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18252.xml