An improved adjustable step adaptive neuron based control approach for grid supportive SPV system

Bhim Singh; Chinmay Jain; Anmol Bansal

doi:10.1109/INDICON.2015.7443147

An improved adjustable step adaptive neuron based control approach for grid supportive SPV system

Bhim Singh, Chinmay Jain, Anmol Bansal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper deals with a three phase grid supportive kind of PV generation system. The proposed system is said grid supportive as it not only feeds the energy generated by solar PV system intro the grid but also helps at power quality improvement front of distribution system. A two stage topology is proposed, wherein the first stage is a boost converter which extracts the energy from the PV array and the second stage is a grid interfaced VSC (Voltage Source Converter). The VSC feeds extracted solar energy into the grid along with harmonics elimination, reactive power compensation and grid currents balancing. An improved adjustable step adaptive neuron based control approach is used for estimation of average power consuming component of load current. Moreover, a feed forward term is added as PV array contribution to grid currents, which helps in fast dynamic response due to ambience changes. The DC link voltage is regulated using a PI controller on DC link of the VSC. The output of PI controller is designated as loss component of system. In the proposed approach, the load, PV array and loss contributions are kept decoupled. The experimental results confirm the feasibility of the proposed control algorithm. The THD (Total Harmonics Distortion) of grid currents has been found well under IEEE-519 standard even under nonlinear loads at CPI (Common Point of Interconnection).

Original language	English
Title of host publication	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control
Subtitle of host publication	(E3-C3), INDICON 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467373999
DOIs	https://doi.org/10.1109/INDICON.2015.7443147
Publication status	Published - 29-03-2016
Externally published	Yes
Event	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015 - New Delhi, India Duration: 17-12-2015 → 20-12-2015

Conference

Conference	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015
Country/Territory	India
City	New Delhi
Period	17-12-15 → 20-12-15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/INDICON.2015.7443147

Cite this

Singh, B., Jain, C., & Bansal, A. (2016). An improved adjustable step adaptive neuron based control approach for grid supportive SPV system. In 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015 [7443147] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDICON.2015.7443147

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abstract = "This paper deals with a three phase grid supportive kind of PV generation system. The proposed system is said grid supportive as it not only feeds the energy generated by solar PV system intro the grid but also helps at power quality improvement front of distribution system. A two stage topology is proposed, wherein the first stage is a boost converter which extracts the energy from the PV array and the second stage is a grid interfaced VSC (Voltage Source Converter). The VSC feeds extracted solar energy into the grid along with harmonics elimination, reactive power compensation and grid currents balancing. An improved adjustable step adaptive neuron based control approach is used for estimation of average power consuming component of load current. Moreover, a feed forward term is added as PV array contribution to grid currents, which helps in fast dynamic response due to ambience changes. The DC link voltage is regulated using a PI controller on DC link of the VSC. The output of PI controller is designated as loss component of system. In the proposed approach, the load, PV array and loss contributions are kept decoupled. The experimental results confirm the feasibility of the proposed control algorithm. The THD (Total Harmonics Distortion) of grid currents has been found well under IEEE-519 standard even under nonlinear loads at CPI (Common Point of Interconnection).",

author = "Bhim Singh and Chinmay Jain and Anmol Bansal",

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booktitle = "12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control",

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Singh, B, Jain, C & Bansal, A 2016, An improved adjustable step adaptive neuron based control approach for grid supportive SPV system. in 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015., 7443147, Institute of Electrical and Electronics Engineers Inc., 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015, New Delhi, India, 17-12-15. https://doi.org/10.1109/INDICON.2015.7443147

An improved adjustable step adaptive neuron based control approach for grid supportive SPV system. / Singh, Bhim; Jain, Chinmay; Bansal, Anmol.

12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7443147.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper deals with a three phase grid supportive kind of PV generation system. The proposed system is said grid supportive as it not only feeds the energy generated by solar PV system intro the grid but also helps at power quality improvement front of distribution system. A two stage topology is proposed, wherein the first stage is a boost converter which extracts the energy from the PV array and the second stage is a grid interfaced VSC (Voltage Source Converter). The VSC feeds extracted solar energy into the grid along with harmonics elimination, reactive power compensation and grid currents balancing. An improved adjustable step adaptive neuron based control approach is used for estimation of average power consuming component of load current. Moreover, a feed forward term is added as PV array contribution to grid currents, which helps in fast dynamic response due to ambience changes. The DC link voltage is regulated using a PI controller on DC link of the VSC. The output of PI controller is designated as loss component of system. In the proposed approach, the load, PV array and loss contributions are kept decoupled. The experimental results confirm the feasibility of the proposed control algorithm. The THD (Total Harmonics Distortion) of grid currents has been found well under IEEE-519 standard even under nonlinear loads at CPI (Common Point of Interconnection).

AB - This paper deals with a three phase grid supportive kind of PV generation system. The proposed system is said grid supportive as it not only feeds the energy generated by solar PV system intro the grid but also helps at power quality improvement front of distribution system. A two stage topology is proposed, wherein the first stage is a boost converter which extracts the energy from the PV array and the second stage is a grid interfaced VSC (Voltage Source Converter). The VSC feeds extracted solar energy into the grid along with harmonics elimination, reactive power compensation and grid currents balancing. An improved adjustable step adaptive neuron based control approach is used for estimation of average power consuming component of load current. Moreover, a feed forward term is added as PV array contribution to grid currents, which helps in fast dynamic response due to ambience changes. The DC link voltage is regulated using a PI controller on DC link of the VSC. The output of PI controller is designated as loss component of system. In the proposed approach, the load, PV array and loss contributions are kept decoupled. The experimental results confirm the feasibility of the proposed control algorithm. The THD (Total Harmonics Distortion) of grid currents has been found well under IEEE-519 standard even under nonlinear loads at CPI (Common Point of Interconnection).

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Y2 - 17 December 2015 through 20 December 2015

ER -

An improved adjustable step adaptive neuron based control approach for grid supportive SPV system

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