z-logo
open-access-imgOpen Access
Dual‐function PV‐ECS integrated to 3P4W distribution grid using 3M‐PLL control for active power transfer and power quality improvement
Author(s) -
Agarwal Rahul Kumar,
Hussain Ikhlaq,
Singh Bhim
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0723
Subject(s) - dual (grammatical number) , power quality , phase locked loop , dual function , power (physics) , transfer function , grid , control (management) , distribution grid , power control , maximum power transfer theorem , control theory (sociology) , computer science , electrical engineering , engineering , mathematics , physics , quantum mechanics , artificial intelligence , jitter , art , computer graphics (images) , literature , contouring , geometry
This study proposes a single‐stage solar photovoltaic energy conversion system (PV‐ECS) integrated to a three‐phase four‐wire (3P4W) distribution grid with dual‐function capabilities, i.e. active power transfer and power quality (PQ) enhancement at the point of interaction (PoI). The PV‐ECS system comprises of a solar photovoltaic array and a voltage source inverter (VSI), supplying active power (during daytime) to the distribution grid and connected single‐phase and three‐phase loads. Apart from transfer of power, the system also improves the PQ at the PoI by compensating reactive power and neutral current, attenuating harmonics, correcting power factor and balancing grid currents. During night, the VSI acts as a shunt active power filter mitigating PQ issues, thereby increasing the device utilisation factor. A three‐phase magnitude‐phase locked loop (3M‐PLL) method is utilised to extract and estimate fundamental term of load currents and an incremental conductance algorithm is applied for maximum power point tracking. To demonstrate its effectiveness, the system is modelled and its performance is simulated on MATLAB and experiments are performed on a developed prototype in the laboratory.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom