Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement

Pramod Kumar, Nagendra Kumar Swarnkar, Ahmed Ali, Om Prakash Mahela, Baseem Khan (), Divya Anand and Julien Brito Ballester
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Pramod Kumar: Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur 302017, India
Nagendra Kumar Swarnkar: Department of Electrical Engineering, Suresh Gyan Vihar University, Jaipur 302017, India
Ahmed Ali: Department of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa
Om Prakash Mahela: Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India
Baseem Khan: Engineering Research and Innovation Group (ERIG), Universidad Internacional Iberoamericana, Campeche 24560, Mexico
Divya Anand: School of Computer Science and Engineering, Lovely Professional University, Phagwara 144411, India
Julien Brito Ballester: Faculty of Social Sciences and Humanities, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain

Sustainability, 2023, vol. 15, issue 2, 1-19

Abstract: This paper introduced a method using hybrid combination of network restructuring and optimal placement of optimally sized distributed generators (DG) to reduce loss and improve voltage profile in a practical transmission network for scenario of high load demand for a period of ten years. A study is performed for four study cases which includes the test transmission network without considering optimal DG placement and network restructuring, considering network restructuring, optimal placement of DG units using proposed grid parameter oriented harmony search algorithm (GPOHSA) and considering hybrid combination of network restructuring and DG placement using GPOHSA. Network restructuring is achieved by addition of a new 400 kV Grid-substation (GSS) and a 220 kV GSS along with associated transmission system. GPOHSA is obtained by a modification in the conventional harmony search algorithm (HSA) where grid coordinates are used for locating the individuals in an objective space. Performance Improvement Indicators such as real power loss reduction indicator (SPLRI), reactive power loss reduction indicator (SQLRI) and summation of node voltage deviation reduction indicator (SNVDRI) are proposed to evaluate performance of each case of study. The period of investment return is assessed to evaluate the pay back period of the investments incurred in network restructuring and DG units. It is established that hybrid combination of network restructuring and DG units placement using GPOHSA is effective to meet the increased load demand for time period of ten years with reduced losses and improved voltage profile. Investment incurred on the network restructuring and DG units placement will be recovered in a time period of 4 years. Effectiveness of the GPOHSA is better relative to the conventional genetic algorithm (GA) for DG unit placement. The study is performed using the MATLAB software on a practical transmission network in India.

Keywords: distributed generation; grid parameter oriented harmony search algorithm; real power loss; reactive power loss; utility grid network; voltage deviations (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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