Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization

Muhammad Junaid Tahir, Muhammad Babar Rasheed and Mohd Khairil Rahmat
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Muhammad Junaid Tahir: Renewable Energy Research Labortary (RENERAL) Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Gombak 53100, Selangor, Malaysia
Muhammad Babar Rasheed: Escuela Politécnica Superior, ISG, Universidad de Alcalá, 28800 Alcalá de Henares, Spain
Mohd Khairil Rahmat: Renewable Energy Research Labortary (RENERAL) Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Gombak 53100, Selangor, Malaysia

Energies, 2022, vol. 15, issue 7, 1-27

Abstract: This paper presents the integration of shunt capacitors in the radial distribution grids (RDG) with constant and time-varying load consideration for the reduction of power losses and total annual cost, which turns to enhance the voltage profile and annual net savings. To gather the stated goals, three objective functions are formulated with system constraints. To solve this identified problem, a novel optimization technique based on the modification of particle swarm optimization is proposed. The solution methodology is divided into two phases. In phase one, potential candidate buses are nominated using the loss sensitivity factor method and in phase two the proposed technique first selects the optimal buses for the capacitor placement among the potential buses then it decides the optimal sizing of the capacitors as well. To demonstrate the performance in terms of efficiency and strength, the proposed technique is tested on IEEE 15, 33, and 69 bus system for the optimal placement and sizing of capacitors (OPSC) problem. The results are achieved in terms of annual net savings for 15 bus (47.66 % c a s e − 1 , 32.76 % c a s e − 2 , 26.46 % c a s e − 3 ) , 33 bus (33.09% c a s e − 1 , 27.06 % c a s e − 2 , 24.15 % c a s e − 3 ), and 69 bus (34.51% c a s e − 1 , 29.43 % c a s e − 2 , 25.83 % c a s e − 3 ) which are comparable to other state of the art methods, and it also indicates the success of the proposed technique.

Keywords: optimal placement and sizing of capacitors; loss sensitivity factor; novel inertia term; modified particle swarm optimization; annual net saving maximization; radial distribution grids (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
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