FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894887835> ?p ?o ?g. }

• W2894887835 abstract "This thesis presents a new meta-heuristic approach technique for optimal location and sizing of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first objective is to develop heuristic technique Single-Objective Particle Swarm Optimization (SOPSO) for optimal location and sizing of single-unit FACTS device installation with loss minimization, voltage monitoring and taking into account the cost of installation in the system. The verification was conducted through comparative studies with Single-Objective Evolutionary Programming (SOEP) and Single-Objective Artificial Immune System (SOAIS) techniques. The effect of weight coefficient, c₁ and c₂ and the effect of population size of loss minimization are also investigated. The second objective is to determine the location and sizing of multi-unit and multi-type FACTS device installation using SOPSO and SOEP. Consequently, the third objective of this research is to develop a new meta-heuristic technique termed as Evolutionary Particle Swarm Optimization (EPSO) for optimal placement and sizing of multi-unit FACTS device with single-objective problem. Comparative studies with respect to traditional PSO and classical EP techniques indicated that EPSO has its merit in terms of loss minimization. In addition, the cluster formation of FACTS device installation is also derived from the obtained results. The cluster formation of FACTS device installation was derived by looking at how many times (frequency) the load buses are selected for FACTS device installation identified by EPSO, PSO and EP techniques. The fourth objective in this research is to develop a new optimization technique termed as sigma- Multi-Objective EPSO (a-MOEPSO) technique for optimal location and sizing of FACTS devices installation for multi-objective problem to minimize the transmission loss and cost of installation in power system. Finally, the fifth objective is to assess the techno-economic impact of FACTS device installation in power system. This assessment is performed by using a hybrid Evolutionary Particle Swarm Optimization - Net Present Value (EPSO-NPV) for assessing the impact of FACTS devices installation in duration up to 20 years. Comparative study has been done with Evolutionary Programming - Net Present Value (EP-NPV) technique. It was found that the proposed technique has been able to produce better performance as compared to other techniques and could be beneficial to power system planner in order to perform FACTS devices installation scheme for the minimization of loss and cost in their systems." @default.
• W2894887835 created "2018-10-12" @default.
• W2894887835 creator A5026496074 @default.
• W2894887835 date "2015-01-01" @default.
• W2894887835 modified "2023-09-23" @default.
• W2894887835 title "Multi-facts devices installation for loss minimization and techno-economic impact assessment based on computational intelligence technique / Siti Amely Jumaat" @default.
• W2894887835 hasPublicationYear "2015" @default.
• W2894887835 type Work @default.
• W2894887835 sameAs 2894887835 @default.
• W2894887835 citedByCount "0" @default.
• W2894887835 crossrefType "book-chapter" @default.
• W2894887835 hasAuthorship W2894887835A5026496074 @default.
• W2894887835 hasConcept C109718341 @default.
• W2894887835 hasConcept C126255220 @default.
• W2894887835 hasConcept C127413603 @default.
• W2894887835 hasConcept C142362112 @default.
• W2894887835 hasConcept C144024400 @default.
• W2894887835 hasConcept C147764199 @default.
• W2894887835 hasConcept C149923435 @default.
• W2894887835 hasConcept C153349607 @default.
• W2894887835 hasConcept C173801870 @default.
• W2894887835 hasConcept C2777767291 @default.
• W2894887835 hasConcept C2908647359 @default.
• W2894887835 hasConcept C33923547 @default.
• W2894887835 hasConcept C41008148 @default.
• W2894887835 hasConcept C85617194 @default.
• W2894887835 hasConceptScore W2894887835C109718341 @default.
• W2894887835 hasConceptScore W2894887835C126255220 @default.
• W2894887835 hasConceptScore W2894887835C127413603 @default.
• W2894887835 hasConceptScore W2894887835C142362112 @default.
• W2894887835 hasConceptScore W2894887835C144024400 @default.
• W2894887835 hasConceptScore W2894887835C147764199 @default.
• W2894887835 hasConceptScore W2894887835C149923435 @default.
• W2894887835 hasConceptScore W2894887835C153349607 @default.
• W2894887835 hasConceptScore W2894887835C173801870 @default.
• W2894887835 hasConceptScore W2894887835C2777767291 @default.
• W2894887835 hasConceptScore W2894887835C2908647359 @default.
• W2894887835 hasConceptScore W2894887835C33923547 @default.
• W2894887835 hasConceptScore W2894887835C41008148 @default.
• W2894887835 hasConceptScore W2894887835C85617194 @default.
• W2894887835 hasLocation W28948878351 @default.
• W2894887835 hasOpenAccess W2894887835 @default.
• W2894887835 hasPrimaryLocation W28948878351 @default.
• W2894887835 hasRelatedWork W1120424760 @default.
• W2894887835 hasRelatedWork W1538976046 @default.
• W2894887835 hasRelatedWork W2008783942 @default.
• W2894887835 hasRelatedWork W2011038973 @default.
• W2894887835 hasRelatedWork W2049392068 @default.
• W2894887835 hasRelatedWork W2063554569 @default.
• W2894887835 hasRelatedWork W2122582515 @default.
• W2894887835 hasRelatedWork W2224447410 @default.
• W2894887835 hasRelatedWork W2428207156 @default.
• W2894887835 hasRelatedWork W2577954027 @default.
• W2894887835 hasRelatedWork W2651682013 @default.
• W2894887835 hasRelatedWork W2797180181 @default.
• W2894887835 hasRelatedWork W2810243619 @default.
• W2894887835 hasRelatedWork W2914156675 @default.
• W2894887835 hasRelatedWork W2914189074 @default.
• W2894887835 hasRelatedWork W3030542165 @default.
• W2894887835 hasRelatedWork W3146847117 @default.
• W2894887835 hasRelatedWork W2399513528 @default.
• W2894887835 hasRelatedWork W2488964589 @default.
• W2894887835 hasRelatedWork W2902028347 @default.
• W2894887835 isParatext "false" @default.
• W2894887835 isRetracted "false" @default.
• W2894887835 magId "2894887835" @default.
• W2894887835 workType "book-chapter" @default.