Optimal DG Placement in Power Systems Using a Modified Flower Pollination Algorithm

Abinands Ramshanker, Jacob Raglend Isaac (), Belwin Edward Jeyeraj, Jose Swaminathan and Ravi Kuppan
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Abinands Ramshanker: School of Electrical Engineering, Vellore Institute Technology, Vellore 632014, India
Jacob Raglend Isaac: School of Electrical Engineering, Vellore Institute Technology, Vellore 632014, India
Belwin Edward Jeyeraj: School of Electrical Engineering, Vellore Institute Technology, Vellore 632014, India
Jose Swaminathan: School of Mechanical Engineering, Vellore Institute Technology, Vellore 632014, India
Ravi Kuppan: School of Electrical Engineering, Vellore Institute Technology, Vellore 632014, India

Energies, 2022, vol. 15, issue 22, 1-17

Abstract: There is a huge requirement for power systems to reduce power losses. Adding distributed generators (DGs) is the most common approach to achieving lower power losses. However, several challenges arise, such as determining the ideal size as well as location of the utilized distributed generators. Most of the existing methods do not consider the variety of load types, the variety and size of the utilized DGs besides reducing the convergence time and enhancing the optimization results. The paper performed an optimization algorithm that integrated a golden search-based flower pollination algorithm and fitness-distance balance (FDB) to find out the optimal size as well as the location of the distributed generators. It was then compared with different optimization methods to determine the best optimization technique, and it was determined to be the best technique. In addition, different types of DGs are considered, including solar energy, wind energy, and biogas, along with optimizing the size of the utilized DGs to reduce the system cost. Testing with different types of bus systems, and different types of DGs in a radial distribution system was done to reveal that the modified flower pollination with golden section search was superior in comparison to others with regards to convergence and power loss reduction.

Keywords: flower pollination algorithm; golden section search; distributed generator; radial distribution system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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