Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management

Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integra...

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Published in:	Scientific reports Vol. 14; no. 1; pp. 4646 - 21
Main Authors:	Mohapatra, Bhabasis, Sahu, Binod Kumar, Pati, Swagat, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 26.02.2024 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/4077 Accuracy Clean energy Clean technology Climate change Climate effects Conventional arithmetic optimization algorithm (CAOA) Electrical engineering Energy Grid connected photovoltaic system (GCPV) Humanities and Social Sciences Improved arithmetic optimization algorithm (IAOA) Mathematics multidisciplinary Optimization algorithms Optimization techniques Particle swarm optimization (PSO) Photovoltaics Proportional-integral (PI) controller Renewable energy sources Science Science (multidisciplinary) Super twisting sliding mode controller (ST-SMC) Improved arithmetic optimization algorithm (IAOA) Conventional arithmetic optimization algorithm (CAOA) Particle swarm optimization (PSO) Super twisting sliding mode controller (ST-SMC) Proportional-integral (PI) controller Photovoltaic (PV) Grid connected photovoltaic system (GCPV)
ISSN:	2045-2322, 2045-2322
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Abstract	Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment.
AbstractList	Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment. Abstract Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment. Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment.Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment. Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating effects of climate change. Reducing energy costs and pollution have been the primary causes of the rise in solar photovoltaic (PV) system integrations with the grid in recent years. A load that is locally connected to a GCPV requires both active and reactive power control. In order to control both active and reactive power, MAs and advanced controllers are essential. Researchers have used one of the recently developed MAs, known as the CAOA, which is based on mathematical arithmetic operators to tackle a few real-world optimization problems. Some disadvantages of CAOA include its natural tendency to converge to a local optimum and its limited capacity for exploration. By merging the PSO and CAOA methodologies, this article suggests the IAOA. To show how applicable IAOA is, its performance has been evaluated using four benchmark functions. The implementation of an IAOA-based ST-SMC for active and reactive power control is addressed in this article, which offers an innovative approach of research. In comparison to PSO-based ST-SMC and CAOA-based ST-SMC, the proposed IAOA-based ST-SMC appears to be superior, with settling time for active and reactive power control at a minimum of 0.01012 s and 0.5075 s. A real-time OPAL-RT 4510 simulator is used to validate the performance results of a 40 kW GCPV system after it has been investigated in the MATLAB environment.
ArticleNumber	4646
Author	Sahu, Binod Kumar Mohapatra, Bhabasis Pati, Swagat Prokop, Lukas Misak, Stanislav Blazek, Vojtech Bajaj, Mohit
Author_xml	– sequence: 1 givenname: Bhabasis surname: Mohapatra fullname: Mohapatra, Bhabasis organization: Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University) – sequence: 2 givenname: Binod Kumar surname: Sahu fullname: Sahu, Binod Kumar organization: Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University) – sequence: 3 givenname: Swagat surname: Pati fullname: Pati, Swagat email: swagatpati@soa.ac.in organization: Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University) – sequence: 4 givenname: Mohit surname: Bajaj fullname: Bajaj, Mohit email: thebestbajaj@gmail.com organization: Department of Electrical Engineering, Graphic Era (Deemed to be University), Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Graphic Era Hill University, Applied Science Research Center, Applied Science Private University – sequence: 5 givenname: Vojtech surname: Blazek fullname: Blazek, Vojtech organization: ENET Centre, VSB—Technical University of Ostrava – sequence: 6 givenname: Lukas surname: Prokop fullname: Prokop, Lukas organization: ENET Centre, VSB—Technical University of Ostrava – sequence: 7 givenname: Stanislav surname: Misak fullname: Misak, Stanislav organization: ENET Centre, VSB—Technical University of Ostrava
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Keywords	Improved arithmetic optimization algorithm (IAOA) Conventional arithmetic optimization algorithm (CAOA) Particle swarm optimization (PSO) Super twisting sliding mode controller (ST-SMC) Proportional-integral (PI) controller Photovoltaic (PV) Grid connected photovoltaic system (GCPV)
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Snippet	Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the devastating... Abstract Over the past years, the use of renewable energy sources (RESs) has grown significantly as a means of providing clean energy to counteract the...
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SubjectTerms	639/166 639/4077 Accuracy Clean energy Clean technology Climate change Climate effects Conventional arithmetic optimization algorithm (CAOA) Electrical engineering Energy Grid connected photovoltaic system (GCPV) Humanities and Social Sciences Improved arithmetic optimization algorithm (IAOA) Mathematics multidisciplinary Optimization algorithms Optimization techniques Particle swarm optimization (PSO) Photovoltaics Proportional-integral (PI) controller Renewable energy sources Science Science (multidisciplinary) Super twisting sliding mode controller (ST-SMC)
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Title	Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management
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