An Improved Adjustable Step Adaptive Neuron-Based Control Approach for the Grid-Supportive SPV System

Bhim Singh, Chinmay Jain, Anmol Bansal

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


A grid-supportive two-stage three-phase three-wire solar photovoltaic (SPV) system is presented in this paper, wherein a boost converter is used as a first stage to serve the function of maximum power point tracking and a three-leg voltage source converter is used to feed the extracted SPV energy, along with the supporting distribution system for improvement in the power quality. The harmonics elimination, grid currents balancing, and compensation for nonactive part of the load currents are extra features offered by the proposed system other than conventional features of the solar inverter. The true power reflecting part of the load current is estimated using an improved adjustable step adaptive neuron-based control approach. Moreover, a feed-forward term is added as photovoltaic (PV) array contribution to grid currents, which helps in fast dynamic response due to ambience changes. The output of which is a current component reflected on grid side to instantaneously regulate the dc-link voltage. In the proposed approach, the load, PV array, and loss contributions are kept decoupled. The feasibility of the proposed control algorithm is confirmed via experimental results.

Original languageEnglish
Article number7993038
Pages (from-to)563-570
Number of pages8
JournalIEEE Transactions on Industry Applications
Issue number1
Publication statusPublished - 01-01-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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