Intelligent approach‐based hybrid control algorithm for integration of solar photovoltaic system in smart grid environment. Issue 3 (16th July 2019)

• Record Type: Journal Article
• Authors: Chaudhary, Priyanka; Rizwan, Mohammad
• Is Part Of: IET smart grid. Volume 2:Issue 3(2019)
• Page Start: 445
• Page End: 454
• Publication Date: 2019-07-16
• Subjects: power factor correction -- smart power grids -- power generation control -- photovoltaic power systems -- reactive power -- distributed power generation -- voltage control -- power supply quality -- harmonic distortion; solar photovoltaic system -- smart grid environment -- distributed generator -- coordinated control measures -- proper synchronisation -- single‐stage solar PV system -- utility grid -- connected loads -- harmonics elimination -- reactive power compensation -- load balancing -- power factor correction -- zero voltage regulation modes -- power quality improvement -- grid tied PV system -- well‐established algorithms -- overshoot -- total harmonic distortion -- grid currents -- developed system -- intelligent approach‐based hybrid control algorithm -- low voltage grid -- medium voltage grid -- quasiNewton back‐propagation neural network -- THD -- MATLAB -- SIMULINK platform; B8120L Power supply quality and harmonics -- B8250 Solar power stations and photovoltaic power systems -- B8360 Power convertors and power supplies to apparatus -- C3110B Voltage control -- C3340H Control of electric power systems -- B8120K Distributed power generation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0055
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Integration of solar PV as a distributed generator (DG) require efficient and coordinated control measures for the proper synchronization. In this paper, a hybrid control algorithm for single stage solar photovoltaic (PV) system integrated with low voltage (LV)/medium voltage (MV) grid is proposed. The hybrid algorithm utilizes I cos ϕ technique and quasi‐Newton back‐propagation (QNBP) neural network (NN). The main contributions of the present work are: i) support the utility grid by feeding power and connected loads, ii) provide harmonics elimination, reactive power compensation, load balancing, iii) also works in power factor correction (PFC) and zero voltage regulation modes, iv) provides power quality improvement. The proposed control of grid tied PV system provides very fast response during static and dynamic conditions. The obtained results are compared with other well‐established algorithms available in the literature. The comparison of the proposed algorithm is done on the basis of various parameters such as DC voltage undershoot and overshoot, settling time and THD in grid currents. The developed system is demonstrated in MATLAB/SIMULINK platform. Using the proposed algorithms there is significant improvement of 1.1% in total harmonic distortion (THD) of source current. The results of proposed controllers are experimentally validated on a developed laboratory protype.