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Open AccessArticle

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

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Department of Electrical and Electronics Engineering, Hindustan Institute of Technology and Science, No. 1, OMR Road, Chennai 600077, India
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Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India
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Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia
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School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
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Electrical and Automotive parts Manufacturing Unit, AA Industries, Chennai 600123, India
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School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia
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Centre for Intelligent Systems, School of Engineering and Technology, Central Queensland University, Brisbane, QLD 4000, Australia
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Escuela Técnica Superior de Ingeniería Industrial, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real, Spain
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School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India
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Authors to whom correspondence should be addressed.
Energies 2020, 13(18), 4615; https://doi.org/10.3390/en13184615
Received: 25 June 2020 / Revised: 29 August 2020 / Accepted: 2 September 2020 / Published: 4 September 2020
(This article belongs to the Special Issue Planning and Economics of Electric Energy Systems)
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. View Full-Text
Keywords: cuckoo search algorithm; DSTATCOM; power loss minimization; radial distribution system; system power losses cuckoo search algorithm; DSTATCOM; power loss minimization; radial distribution system; system power losses
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MDPI and ACS Style

Kaliaperumal Rukmani, D.; Thangaraj, Y.; Subramaniam, U.; Ramachandran, S.; Madurai Elavarasan, R.; Das, N.; Baringo, L.; Imran Abdul Rasheed, M. A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm. Energies 2020, 13, 4615. https://doi.org/10.3390/en13184615

AMA Style

Kaliaperumal Rukmani D, Thangaraj Y, Subramaniam U, Ramachandran S, Madurai Elavarasan R, Das N, Baringo L, Imran Abdul Rasheed M. A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm. Energies. 2020; 13(18):4615. https://doi.org/10.3390/en13184615

Chicago/Turabian Style

Kaliaperumal Rukmani, Devabalaji; Thangaraj, Yuvaraj; Subramaniam, Umashankar; Ramachandran, Sitharthan; Madurai Elavarasan, Rajvikram; Das, Narottam; Baringo, Luis; Imran Abdul Rasheed, Mohamed. 2020. "A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm" Energies 13, no. 18: 4615. https://doi.org/10.3390/en13184615

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