Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288767765> ?p ?o ?g. }
Showing items 1 to 50 of
50
with 100 items per page.
- W4288767765 abstract "Generation Expansion Planning (GEP) is determining the type, location and number of new generating stations (GSs). In this paper, a GEP problem is formed by considering three types of GSs and then their possible combinations are sorted. Infeasible combinations are screened out based on the capacity limit and maximum allowable budget. The best solution with minimum cost is recognized by optimizing the feasible combinations using Genetic Algorithm (GA). Share of fuel mix (gas and oil) for winter and other seasons are considered as the constraints. In simulation, 14 out of 75 combinations came out feasible. GA was used to find the best combination which had an optimized amount of gas and oil usage. The results display the superiority of proposed methodology in contrast with other studies in finding the best solution of the GEP problem with minimum iteration." @default.
- W4288767765 created "2022-07-30" @default.
- W4288767765 creator A5004642269 @default.
- W4288767765 creator A5020427571 @default.
- W4288767765 creator A5038841894 @default.
- W4288767765 creator A5052770946 @default.
- W4288767765 creator A5057881813 @default.
- W4288767765 date "2022-02-24" @default.
- W4288767765 modified "2023-09-28" @default.
- W4288767765 title "Generation Expansion Planning Optimized by Genetic Algorithm Considering Seasonal Impact and Fuel Price" @default.
- W4288767765 doi "https://doi.org/10.1109/icaeee54957.2022.9836588" @default.
- W4288767765 hasPublicationYear "2022" @default.
- W4288767765 type Work @default.
- W4288767765 citedByCount "0" @default.
- W4288767765 crossrefType "proceedings-article" @default.
- W4288767765 hasAuthorship W4288767765A5004642269 @default.
- W4288767765 hasAuthorship W4288767765A5020427571 @default.
- W4288767765 hasAuthorship W4288767765A5038841894 @default.
- W4288767765 hasAuthorship W4288767765A5052770946 @default.
- W4288767765 hasAuthorship W4288767765A5057881813 @default.
- W4288767765 hasConcept C11413529 @default.
- W4288767765 hasConcept C126255220 @default.
- W4288767765 hasConcept C134306372 @default.
- W4288767765 hasConcept C151201525 @default.
- W4288767765 hasConcept C33923547 @default.
- W4288767765 hasConcept C41008148 @default.
- W4288767765 hasConcept C8880873 @default.
- W4288767765 hasConceptScore W4288767765C11413529 @default.
- W4288767765 hasConceptScore W4288767765C126255220 @default.
- W4288767765 hasConceptScore W4288767765C134306372 @default.
- W4288767765 hasConceptScore W4288767765C151201525 @default.
- W4288767765 hasConceptScore W4288767765C33923547 @default.
- W4288767765 hasConceptScore W4288767765C41008148 @default.
- W4288767765 hasConceptScore W4288767765C8880873 @default.
- W4288767765 hasLocation W42887677651 @default.
- W4288767765 hasOpenAccess W4288767765 @default.
- W4288767765 hasPrimaryLocation W42887677651 @default.
- W4288767765 hasRelatedWork W12929553 @default.
- W4288767765 hasRelatedWork W13152143 @default.
- W4288767765 hasRelatedWork W14398778 @default.
- W4288767765 hasRelatedWork W14841683 @default.
- W4288767765 hasRelatedWork W2505205 @default.
- W4288767765 hasRelatedWork W7582599 @default.
- W4288767765 hasRelatedWork W8518910 @default.
- W4288767765 hasRelatedWork W9037605 @default.
- W4288767765 hasRelatedWork W9321051 @default.
- W4288767765 hasRelatedWork W9589177 @default.
- W4288767765 isParatext "false" @default.
- W4288767765 isRetracted "false" @default.
- W4288767765 workType "article" @default.