Optimal Placement and Sizing of Inverter-Based Distributed Generation Units and Shunt Capacitors in Distorted Distribution Systems Using a Hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm

Abstract

In this paper, a novel hybrid population-based meta-heuristic algorithm, called the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed to solve the problem of optimal placement and sizing of inverter-based distributed generation (DG) units and shunt capacitors in radial distribution systems with linear and non-linear loads. The objective of the problem is reduction of active power losses considering constraints of the fundamental frequency active and reactive power balance, RMS voltage, and total harmonic distortion of voltage (THD_V) at each bus of the network, as well as the branch flow constraints. The performance of the PPSOGSA-based approach is evaluated on the standard IEEE 33- and 69-bus test systems under sinusoidal and non-sinusoidal operating conditions. Compared to the original PPSO and GSA and other algorithms commonly used in the optimal sitting and sizing problem of DG units and shunt capacitors, it is found that the proposed algorithm has yielded better results.

Keywords:

• distribution system
• inverter-based distributed generation
• shunt capacitor
• optimal placement
• harmonic distortion
• hybrid optimization algorithm
• phasor particle swarm optimization
• gravitational search algorithm

Additional information

Funding

This paper was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (grant number TR 33046).

Notes on contributors

Miloš Milovanović

Miloš Milovanović received the B.Sc. and M.Sc. degrees in electrical engineering and computer science from the Faculty of Technical Sciences, University of Priština, Kosovska Mitrovica, Serbia, in 2013 and 2015, respectively, and is currently pursuing the Ph.D. degree in electrical engineering and computer science at the same faculty. His current research interests include power system analysis, artificial intelligence, power quality, and distributed generation.

Dragan Tasić

Dragan Tasić received the B.Sc. and M.Sc. degrees from the Faculty of Electrical Engineering in Belgrade, Serbia, and the Ph.D. degree from the Faculty of Electronic Engineering in Niš, Serbia, in 1986, 1991, and 1997, respectively, all in electrical engineering. Presently he is employed as a full professor at the Department of Power Engineering, Faculty of Electronic Engineering of University of Niš. His research interests include power system analysis, distribution systems, and power cable technique.

Jordan Radosavljević

Jordan Radosavljević received the B.Sc. degree from the Faculty of Electrical Engineering, University of Priština, Kosovska Mitrovica, Serbia, in 1998, the M.Sc. degree from the Faculty of Electrical Engineering, University of Belgrade, Belgrade, Serbia, in 2003, and the Ph.D. degree from the Faculty of Technical Sciences, University of Priština, Priština, Serbia, in 2009, all in electrical engineering. Currently, he is a full professor with the Faculty of Technical Sciences, University of Priština, Kosovska Mitrovica, Serbia. His main research interests include power system analysis and control, power system optimization, renewable energy, distributed generation, and microgrids.

Bojan Perović

Bojan Perović received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering and computer science from the Faculty of Technical Sciences, University of Priština, Kosovska Mitrovica, Serbia, in 2011, 2012, and 2018, respectively. His research interests include renewable energy sources, solar energy, thermal processes in energetics, and power cable technology.