Implementation of variable gain controller based improved phase locked loop approach to enhance power quality in autonomous microgrid

Abstract

In this paper, an energy storage system (ESS), solar photovoltaic (SPV) and wind‐driven self‐excited induction generator (SEIG) is being used to establish an autonomous microgrid (MG). A variable gain controller based improved phase locked loop (VGC‐IPLL) is implemented to detect phase angle and generate unit templates for implementing a power quality control scheme in an autonomous MG. This controller enables the system adaptability to input frequency deviations and quick response with reduced steady state error. The novelty of this work is the implementation of VGC‐IPLL based controller in MG which automatically varies the gain according to variation in error. An incremental conductance (IC) based peak power point tracking technique is implemented to harness peak power from an SPV. Further, An ESS is interfaced at dc link of the voltage source converter (VSC) to maintain the power equilibrium between the renewable energy sources (RES's) and the unbalanced load. A bi‐directional controller (BDC) provides dc link voltage regulation and manages the charging/discharging mode of an ESS. Moreover, an ESS provides real/reactive power support through VSC during the intermittent condition of RES's and consumes the unused power during light load conditions. The proposed control with VSC provides multi‐function such as harmonics abatement, real/reactive power support, regulation of dc link voltage, load balancing and minimizes the power quality issues of autonomous MG.

Triple‐indexed passive islanding detection strategy for grid‐connected distributed generation networks using an extended Kalman filter

“…However, these types of DGs are only reliable and productive in grid-connected mode when the national grid power is adequate [2,3]. Islanding detection requires special attention because unintentional islanding is one of the most dangerous situations in such GCDGNs [4][5][6][7]. Unintentional islanding phenomena arise when the national grid supply is cut off from the DGs as a result of any fault or switching events, hence posing severe safety and protection troubles [8,9].…”

Special issue on: AI/data‐based modeling, control, and operation of smart grid power systems

“…A multiloop frequency controller augmented with fractional‐order calculus with in‐depth qualitative analysis for smart grid has been presented 1,2 . The challenging area in EV charging stations with PV array and distribution network, 3 optimal power flow with renewables integrated smart grid, 4 security assessment of grid‐connected society during grid failure or blackouts, 5 resilient power quality control framework for an autonomous microgrid, 6 and detection of false data injection attacks in smart grid 7 have been addressed to cope with challenging issues in smart grid operation/control continuum.…”