Distributed generation (DG) technology has been growing rapidly in industries as this technology can increase the overall efficiency to the power systems. Improper placement and sizing can lead to power losses and interrupt the voltage profile of distribution systems. Studies have been done to solve the DG placement and sizing problem considering several factors, and one of the common factor is minimizing the power losses. However, it is not adequate by only considering the power losses, whereas, the costs of the generation, investment, maintenance, and losses of the distribution system must be taken in consideration. In this research, DG chosen to study is photovoltaic (PV) type which is monocrystalline and thin-film. Costs of operation planning with respect to the power losses is considered which include the costs of investment, maintenance, power loss, and generation that are determined for optimal placement and sizing of DG. The proposed method improved gravitational search algorithm (IGSA) is used in the matlab environment to find the optimal placement and sizing of DG and is tested with the IEEE 34-bus system. The performance of IGSA is then compared with gravitational search algorithm (GSA) and particle swarm optimization (PSO) to find out which algorithm gives the best fitness value and convergence rate. The purpose of this research is to identify the operation planning cost based on the optimization results and improves the optimal placement and sizing of DG in future, to provide maximum economical, technical, environmental benefits, and increase the overall efficiency to the power system.
Skip Nav Destination
Article navigation
February 2019
Research-Article
Optimal Placement and Sizing of Photovoltaic Based Distributed Generation Considering Costs of Operation Planning of Monocrystalline and Thin-Film Technologies
Aida Fazliana Abdul Kadir,
Aida Fazliana Abdul Kadir
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Search for other works by this author on:
Tamer Khatib,
Tamer Khatib
Department of Energy Engineering
and Environment,
An-Najah National University,
Nablus 97300, Palestine
and Environment,
An-Najah National University,
Nablus 97300, Palestine
Search for other works by this author on:
Loo Soon Lii,
Loo Soon Lii
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Search for other works by this author on:
Elia Erwani Hassan
Elia Erwani Hassan
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Search for other works by this author on:
Aida Fazliana Abdul Kadir
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Tamer Khatib
Department of Energy Engineering
and Environment,
An-Najah National University,
Nablus 97300, Palestine
and Environment,
An-Najah National University,
Nablus 97300, Palestine
Loo Soon Lii
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Elia Erwani Hassan
Department of Industrial Power Engineering,
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Faculty of Electrical Engineering,
Universiti Teknikal Malaysia Melaka,
Melaka 76100, Malaysia
Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received May 18, 2018; final manuscript received August 1, 2018; published online September 14, 2018. Assoc. Editor: Nieves Vela.
J. Sol. Energy Eng. Feb 2019, 141(1): 011017 (8 pages)
Published Online: September 14, 2018
Article history
Received:
May 18, 2018
Revised:
August 1, 2018
Citation
Abdul Kadir, A. F., Khatib, T., Lii, L. S., and Hassan, E. E. (September 14, 2018). "Optimal Placement and Sizing of Photovoltaic Based Distributed Generation Considering Costs of Operation Planning of Monocrystalline and Thin-Film Technologies." ASME. J. Sol. Energy Eng. February 2019; 141(1): 011017. https://doi.org/10.1115/1.4041105
Download citation file:
Get Email Alerts
Cited By
Mass Flow Control Strategy for Maximum Energy Extraction in Thermal Energy Storage Tanks
J. Sol. Energy Eng (December 2025)
Exergy Optimization of a Hybrid Multi-Evaporative Desalination Plant Powered by Solar and Geothermal Energy
J. Sol. Energy Eng (June 2025)
Correlation for Maximum Heat Transfer Between Fluidized Bed and Its Wall and Application to Solar Power Plants
J. Sol. Energy Eng (June 2025)
Related Articles
Parameter Extraction of Solar Cell Models Using the Lightning Search Algorithm in Different Weather Conditions
J. Sol. Energy Eng (August,2016)
Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
J. Eng. Sustain. Bldgs. Cities (May,2020)
Comparative Performance and Model Agreement of Three Common Photovoltaic Array Configurations
J. Sol. Energy Eng (February,2018)
An Improved Model of Estimation Global Solar Irradiation From in Situ Data: Case of Algerian Oranie’s Region
J. Sol. Energy Eng (June,2020)
Related Proceedings Papers
Related Chapters
A Novel Approach for LFC and AVR of an Autonomous Power Generating System
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Research on Autobody Panels Developmental Technology Based on Reverse Engineering
International Conference on Measurement and Control Engineering 2nd (ICMCE 2011)
A Novel Particle Swarm Optimizer with Kriging Models
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17