eprintid: 10590 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/01/05/90 datestamp: 2024-01-24 23:30:20 lastmod: 2024-01-24 23:30:21 status_changed: 2024-01-24 23:30:20 type: article metadata_visibility: show creators_name: Kumar, Pramod creators_name: Swarnkar, Nagendra Kumar creators_name: Ali, Ahmed creators_name: Mahela, Om Prakash creators_name: Khan, Baseem creators_name: Anand, Divya creators_name: Brito Ballester, Julién creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: julien.brito@uneatlantico.es title: Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica full_text_status: public keywords: distributed generation; grid parameter oriented harmony search algorithm; real power loss; reactive power loss; utility grid network; voltage deviations 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. date: 2023-01 publication: Sustainability volume: 15 number: 2 pagerange: 976 id_number: doi:10.3390/su15020976 refereed: TRUE issn: 2071-1050 official_url: http://doi.org/10.3390/su15020976 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Abierto Inglés 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. metadata Kumar, Pramod; Swarnkar, Nagendra Kumar; Ali, Ahmed; Mahela, Om Prakash; Khan, Baseem; Anand, Divya y Brito Ballester, Julién mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, julien.brito@uneatlantico.es (2023) Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement. Sustainability, 15 (2). p. 976. ISSN 2071-1050 document_url: http://repositorio.uneatlantico.es/id/eprint/10590/1/sustainability-15-00976-v2.pdf