Design of PID Controller with Grid Connected Hybrid Renewable Energy System Using Optimization Algorithms
The main target of this paper is to allow renewable energy resources (RES) to participate effectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy sys...
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| Published in | Journal of electrical engineering & technology Vol. 16; no. 6; pp. 3219 - 3233 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Springer Singapore
01.11.2021
대한전기학회 |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The main target of this paper is to allow renewable energy resources (RES) to participate effectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC boost converters. The controller at the inverter consists of a current controller and voltage source controller, which results in three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms of the voltage, and current errors. The obtained results with the individual advanced optimization LAPO and PSO algorithm are compared. The results display that the developed LAPO algorithms give better results compared to the conventional PSO at the input and output current, voltage, and power. All the results have been taken under several operating conditions of wind turbine (wind speed) and solar sun (changing irradiance and temperature). |
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| AbstractList | The main target of this paper is to allow renewable energy resources (RES) to participate effectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC boost converters. The controller at the inverter consists of a current controller and voltage source controller, which results in three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms of the voltage, and current errors. The obtained results with the individual advanced optimization LAPO and PSO algorithm are compared. The results display that the developed LAPO algorithms give better results compared to the conventional PSO at the input and output current, voltage, and power. All the results have been taken under several operating conditions of wind turbine (wind speed) and solar sun (changing irradiance and temperature). The main target of this paper is to allow renewable energy resources (RES) to participate eff ectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC boost converters. The controller at the inverter consists of a current controller and voltage source controller, which results in three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms of the voltage, and current errors. The obtained results with the individual advanced optimization LAPO and PSO algorithm are compared. The results display that the developed LAPO algorithms give better results compared to the conventional PSO at the input and output current, voltage, and power. All the results have been taken under several operating conditions of wind turbine (wind speed) and solar sun (changing irradiance and temperature). KCI Citation Count: 0 |
| Author | Yousef, Ali M. Abo-Elyousr, Farag K. Elnozahy, Ahmed Saleh, B. Ebeed, Mohamed Abdelwahab, Saad A. Mohamed Mohamed, Moayed |
| Author_xml | – sequence: 1 givenname: B. orcidid: 0000-0003-0646-2524 surname: Saleh fullname: Saleh, B. email: b.saleh@tu.edu.sa organization: Mechanical Engineering Department, College of Engineering, Taif University, Mechanical Engineering Department, Faculty of Engineering, Assiut University – sequence: 2 givenname: Ali M. surname: Yousef fullname: Yousef, Ali M. organization: Electrical Engineering Department, Faculty of Engineering, Assuit University – sequence: 3 givenname: Mohamed surname: Ebeed fullname: Ebeed, Mohamed organization: Electrical Engineering Department, Faculty of Engineering, Sohag University – sequence: 4 givenname: Farag K. surname: Abo-Elyousr fullname: Abo-Elyousr, Farag K. organization: Electrical Engineering Department, Faculty of Engineering, Assuit University – sequence: 5 givenname: Ahmed surname: Elnozahy fullname: Elnozahy, Ahmed organization: Electrical Engineering Department, Faculty of Engineering, Assuit University – sequence: 6 givenname: Moayed surname: Mohamed fullname: Mohamed, Moayed organization: Electrical Department, Faculty of Technology and Education, Sohag University – sequence: 7 givenname: Saad A. Mohamed surname: Abdelwahab fullname: Abdelwahab, Saad A. Mohamed organization: Electrical Department, Faculty of Technology and Education, Suez University, Department of Computers and Systems Engineering, High Institute of Electronic Engineering, Ministry of Higher Education |
| BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002766754$$DAccess content in National Research Foundation of Korea (NRF) |
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| Keywords | Proportional integral-derivative Hybrid renewable energy systems Particle swarm optimization Lightning attachment procedure optimization |
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| Title | Design of PID Controller with Grid Connected Hybrid Renewable Energy System Using Optimization Algorithms |
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