A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm

Devabalaji Kaliaperumal Rukmani, Yuvaraj Thangaraj, Umashankar Subramaniam, Sitharthan Ramachandran, Rajvikram Madurai Elavarasan, Narottam Das, Luis Baringo and Mohamed Imran Abdul Rasheed
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Devabalaji Kaliaperumal Rukmani: Department of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, No. 1, OMR Road, Chennai 600077, India
Yuvaraj Thangaraj: Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India
Umashankar Subramaniam: Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia
Sitharthan Ramachandran: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Rajvikram Madurai Elavarasan: Electrical and Automotive parts Manufacturing Unit, AA Industries, Chennai 600123, India
Narottam Das: School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia
Luis Baringo: Escuela Técnica Superior de Ingeniería Industrial, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real, Spain
Mohamed Imran Abdul Rasheed: School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India

Energies, 2020, vol. 13, issue 18, 1-21

Abstract: This article proposes a new approach based on a bio-inspired Cuckoo Search Algorithm (CSA) that can significantly envisage with several issues for optimal allocation of distribution static compensator (DSTATCOM) in Radial Distribution System (RDS). In the proposed method, optimal locations of the DSTATCOM are calculated by using the Loss Sensitivity Factor (LSF). The optimal size of the DSTATCOM is simulated by using the newly developed CSA. In the proposed method, load flow calculations are performed by using a fast and efficient backward/forward sweep algorithm. Here, the mathematically formed objective function of the proposed method is to reduce the total system power losses. Standard 33-bus and 69-bus systems have been used to show the effectiveness of the proposed CSA-based optimization method in the RDS with different load models. The simulated results confirm that the optimal allocation of DSTATCOM plays a significant role in power loss minimization and enhanced voltage profile. The placement of DSTATCOM in RDS also plan an important role for minimizing uncertainties in the distribution level. The proposed method encourages one to use renewable-based resources, which results in affordable and clean energy.

Keywords: cuckoo search algorithm; DSTATCOM; power loss minimization; radial distribution system; system power losses (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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