Abstract
There has been a significant increase in the level of worry regarding a degradation in the quality of the electricity that is supplied as a result of the growing integration of solar photovoltaic (PV) energy sources into the utility, particularly in the context of an inadequate distribution infrastructure. This concern has been brought about by the growth in the use of solar energy sources. As a consequence of this, the implementation of a reliable control mechanism is very important in order to improve the power quality of the solar energy conversion system that is linked to the grid. This work also addresses a adaptive backpropagation control for efficiently managing the system by supplying active power to the loads and leaving power to the grid. This is accomplished by feeding the active power to the loads. The control approach provides the capability to make adjustments to the weights in an autonomous and adaptive manner. As a consequence of this, it provides relief in model complexity, which is often present while dealing with irregular grid situations, in addition to a reduction in the amount of computation time that is required. In addition, the neural network-based control technique offers greater accuracy as a result of the use of combinational neural structures during the estimation process. This is made possible by the fact that the approach is based on neural networks (NNs). In order to maximize the efficiency with which the solar photovoltaic array is used, an incremental conductance-based maximum power point tracking technique is utilized. In order to verify the functioning of the system, the results of simulations are used to assess the performance of the recommended system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang Y, Wu Y, Tsang DHK, Leon-Garcia A (2018) Guest editorial special section on energy informatics for green cities. IEEE Trans Ind Inf 14(4):1456–1457
Rehmani MH, Reisslein M, Rachedi A, Erol-Kantarci M, Radenkovic M (2018) Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies. IEEE Trans Ind Inf 14(7):2814–2825
Khan AS Chowdhury SA (2012) GHG emission reduction and global warming adaptation initiatives by UNFCCC. In: Proceedings of the international conference on developments in renewable energy technology, pp 1–6
Xu D, Zhou B, Chan KW, Li C, Wu Q, Chen B, **a S (2018) Distributed multi-energy coordination of multi-microgrids with biogas-solar-wind renewables. IEEE Trans Ind Inf (early access)
Chau TK, Yu SS, Fernando T, Iu HH (2018) Demand-side regulation provision from industrial loads integrated with solar PV panels and energy storage system for ancillary services. IEEE Trans Ind Inf 14(11):5038–5049
Villalva MG, Gazoli JR, Filho ER (2009) Comprehensive approach to modelling and simulation of photovoltaic arrays. IEEE Trans Power Electron 24(5):1198–1208
Soon TK, Mekhilef S (2015) A fast-converging MPPT technique for photovoltaic system under fast-varying solar irradiation and load resistance. IEEE Trans Ind Inf 11(1):176–186
Sundareswaran K, Vigneshkumar V, Sankar P, Simon SP, Srinivasa Rao Nayak P, Palani S (2016) Development of an improved P&O algorithm assisted through a colony of foraging ants for MPPT in PV system. IEEE Trans Ind Inf 12(1):187–200
Wu T, Chang C, Lin L, Kuo C (2011) Power loss comparison of single- and two-stage grid-connected photovoltaic systems. IEEE Trans Energy Conv 26(2):707–715
Keerthisinghe C, Chapman AC, Verbič G (2019) Energy management of PV-storage systems: policy approximations using machine learning. IEEE Trans Ind Inf 15(1):257–265
Lal VN, Singh SN (2017) Control and performance analysis of a single-stage utility-scale grid-connected PV system. IEEE Syst J 11(3):1601–1611
Suslov KV, Solonina NN, Smirnov AS (2014) Distributed power quality monitoring. In: International conference on harmonics quality of power (ICHQP), pp 517–520
Zobaa AF, Abdel Aleem SHE (2014) A new approach for harmonic distortion minimization in power systems supplying nonlinear loads. IEEE Trans Ind Inf 10(2):1401–1412
Singh B, Kandpal M, Hussain I (2018) Control of grid tied smart PVDSTATCOM system using an adaptive technique. IEEE Trans Smart Grid 9(5):3986–3993
Wu F, Zhang L, Duan J (2015) A new two- phase stationary-frame-based enhanced PLL for three-phase grid synchronization. IEEE Trans Circ Syst 62(3):251–255
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chauhan, N., Devi, R. (2024). Enhancement of Power Quality of PV-Interfaced Distribution System Using Adaptive Backpropagation. In: Dhote, N.K., Kolhe, M.L., Rehman, M. (eds) Recent Evolutions in Energy, Drives and e-Vehicles. REEDEV 2022. Lecture Notes in Electrical Engineering, vol 1162. Springer, Singapore. https://doi.org/10.1007/978-981-97-0763-8_9
Download citation
DOI: https://doi.org/10.1007/978-981-97-0763-8_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0762-1
Online ISBN: 978-981-97-0763-8
eBook Packages: EnergyEnergy (R0)