FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2753265579> ?p ?o ?g. }

• W2753265579 abstract "Optimal reactive power dispatch has a purpose to achieve secure and economic operation of power system by regulating reactive power allocation in electric power system, such as regulating generators voltage, capacity of shunt capacitors and tap position of transformers. The optimal reactive power dispatch is complex combinatorial optimization problem and more easily solved by using artificial intelligence-based methods. This paper presents the solving of optimal reactive power dispatch problem to minimize active power loss using grey-wolf optimizer method with Lampung electrical power system as a case study. Matpower 5.1 software is used to calculate power flow and active power losses. The simulation is performed by regulating the voltage on each bus or substation connected to the generator with the limit of 0.95 pu to 1.05 pu, adjusting tap position of transformer on Gumawang and Seputih Banyak substations with a limit of 0.95 pu to 1,025 pu and regulating the capacity of shunt capacitors in Natar, Sutami and Kalianda substations with a limit of 0 to 25 MVAR. The simulation results show that the gre-wolf optimizer method can reduce the total active power losses from 18.97 MW to 18.2377MW. Keywords : optimal reactive power dispatch, grey-wolf optimizer, loss minimization Abstra k — Optimal reactive power dispatch bertujuan untuk memperoleh operasi yang aman dan ekonomis dari sistem tenaga listrik dengan mengatur alokasi daya reaktif pada sistem tenaga listrik, antara lain dengan mengatur tegangan generator, kapasitas kapasitor paralel dan posisi tap transformator. Optimal reactive power dispatch adalah masalah optimisasi kombinasi yang kompleks dan lebih mudah diselesaikan dengan menggunakan metode-metode berbasis kecerdasan buatan. Makalah ini menyajikan penyelesaian masalah optimal reactive power dispatch untuk meminimisasi rugi-rugi daya aktif menggunakan metode grey-wolf optimizer dengan sistem kelistrikan Lampung sebagai studi kasus. Perangkat lunak Matpower 5.1 digunakan untuk menghitung aliran daya dan rugi-rugi daya aktif. Simulasi dilakukan dengan mengatur tegangan pada setiap bus atau gardu induk yang terhubung dengan generator dengan batas 0,95 pu sampai 1,05 pu, mengatur posisi tap transformator pada gardu induk Gumawang dan Seputih Banyak dengan batas 0,95 pu sampai 1,025 pu dan mengatur nilai kapasitas kapasitor pada gardu induk Natar, Sutami dan Kalianda dengan batas 0 sampai 25 MVAR. Hasil simulasi menunjukkan bahwa metode gre y -wolf optimizer dapat mengurangi rugi-rugi daya aktif dari 18,97 MW menjadi 18,2377MW. Kata Kunci : optimal reactive power dispatch, grey-wolf optimizer, minimisasi rugi-rugi." @default.
• W2753265579 created "2017-09-15" @default.
• W2753265579 creator A5077226307 @default.
• W2753265579 creator A5079258450 @default.
• W2753265579 date "2017-07-21" @default.
• W2753265579 modified "2023-09-26" @default.
• W2753265579 title "Optimal Reactive Power Dispatch untuk Meminimisasi Rugi-Rugi Daya Aktif pada Sistem Lampung Menggunakan Metode Grey-Wolf Optimizer (GWO)" @default.
• W2753265579 doi "https://doi.org/10.25077/jnte.v6n2.414.2017" @default.
• W2753265579 hasPublicationYear "2017" @default.
• W2753265579 type Work @default.
• W2753265579 sameAs 2753265579 @default.
• W2753265579 citedByCount "1" @default.
• W2753265579 countsByYear W27532655792022 @default.
• W2753265579 crossrefType "journal-article" @default.
• W2753265579 hasAuthorship W2753265579A5077226307 @default.
• W2753265579 hasAuthorship W2753265579A5079258450 @default.
• W2753265579 hasBestOaLocation W27532655791 @default.
• W2753265579 hasConcept C108755667 @default.
• W2753265579 hasConcept C119599485 @default.
• W2753265579 hasConcept C121332964 @default.
• W2753265579 hasConcept C127413603 @default.
• W2753265579 hasConcept C154945302 @default.
• W2753265579 hasConcept C163258240 @default.
• W2753265579 hasConcept C165801399 @default.
• W2753265579 hasConcept C2775924081 @default.
• W2753265579 hasConcept C33923547 @default.
• W2753265579 hasConcept C41008148 @default.
• W2753265579 hasConcept C47446073 @default.
• W2753265579 hasConcept C62520636 @default.
• W2753265579 hasConcept C66322947 @default.
• W2753265579 hasConcept C89227174 @default.
• W2753265579 hasConceptScore W2753265579C108755667 @default.
• W2753265579 hasConceptScore W2753265579C119599485 @default.
• W2753265579 hasConceptScore W2753265579C121332964 @default.
• W2753265579 hasConceptScore W2753265579C127413603 @default.
• W2753265579 hasConceptScore W2753265579C154945302 @default.
• W2753265579 hasConceptScore W2753265579C163258240 @default.
• W2753265579 hasConceptScore W2753265579C165801399 @default.
• W2753265579 hasConceptScore W2753265579C2775924081 @default.
• W2753265579 hasConceptScore W2753265579C33923547 @default.
• W2753265579 hasConceptScore W2753265579C41008148 @default.
• W2753265579 hasConceptScore W2753265579C47446073 @default.
• W2753265579 hasConceptScore W2753265579C62520636 @default.
• W2753265579 hasConceptScore W2753265579C66322947 @default.
• W2753265579 hasConceptScore W2753265579C89227174 @default.
• W2753265579 hasLocation W27532655791 @default.
• W2753265579 hasOpenAccess W2753265579 @default.
• W2753265579 hasPrimaryLocation W27532655791 @default.
• W2753265579 isParatext "false" @default.
• W2753265579 isRetracted "false" @default.
• W2753265579 magId "2753265579" @default.
• W2753265579 workType "article" @default.