Optimisation and control of economic dispatch for power systems /
This thesis deals with the optimisation and control of economic dispatch for power systems. The economic dispatch problem is modelled in three different algorithms to cater for many physical and system operational constraints. The first and initial modelling strategy is based on a steepest descent t...
| Autors principals: | , , |
|---|---|
| Format: | |
| Idioma: | eng |
| Publicat: |
Kuala Lumpur : Universiti Teknologi Malaysia,
1993
|
| Matèries: |
| _version_ | 1826391763454001152 |
|---|---|
| author | 273990 Shahdan Sudin Mohd. Ruddin Abdul Ghani, supervisor Fakulti Kejuruteraan Elektrik |
| author_facet | 273990 Shahdan Sudin Mohd. Ruddin Abdul Ghani, supervisor Fakulti Kejuruteraan Elektrik |
| author_sort | 273990 Shahdan Sudin |
| collection | OCEAN |
| description | This thesis deals with the optimisation and control of economic dispatch for power systems. The economic dispatch problem is modelled in three different algorithms to cater for many physical and system operational constraints. The first and initial modelling strategy is based on a steepest descent technique whose formulation includes load demand with spinning reserve requirements, loading and deloading rates, and limits of generation outputs. The second modelling strategy is based on a Dantzig-Wolfe decomposition principle which produces a master problem solved by revised simplex method, and a capacitated transportation subproblem solved by network flow algorithm. The third modelling strategy is based on a combination of Lagrangian Relaxation and period-by-period decomposition. The Lagrangian Relaxation is solved using subgradient optimisation while the period-by-period decomposotion is solved using priority lists. The efficacy and efficiency of all the above three methods and solution schemes have been demonstrated by case studies. The last two methods are believed to be suitable for on-line dispatch of large power system. |
| first_indexed | 2024-03-04T21:29:46Z |
| format | |
| id | KOHA-OAI-TEST:180236 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-04T21:29:46Z |
| publishDate | 1993 |
| publisher | Kuala Lumpur : Universiti Teknologi Malaysia, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:1802362020-12-19T17:04:59ZOptimisation and control of economic dispatch for power systems / 273990 Shahdan Sudin Mohd. Ruddin Abdul Ghani, supervisor Fakulti Kejuruteraan Elektrik Kuala Lumpur : Universiti Teknologi Malaysia,1993engThis thesis deals with the optimisation and control of economic dispatch for power systems. The economic dispatch problem is modelled in three different algorithms to cater for many physical and system operational constraints. The first and initial modelling strategy is based on a steepest descent technique whose formulation includes load demand with spinning reserve requirements, loading and deloading rates, and limits of generation outputs. The second modelling strategy is based on a Dantzig-Wolfe decomposition principle which produces a master problem solved by revised simplex method, and a capacitated transportation subproblem solved by network flow algorithm. The third modelling strategy is based on a combination of Lagrangian Relaxation and period-by-period decomposition. The Lagrangian Relaxation is solved using subgradient optimisation while the period-by-period decomposotion is solved using priority lists. The efficacy and efficiency of all the above three methods and solution schemes have been demonstrated by case studies. The last two methods are believed to be suitable for on-line dispatch of large power system.Thesis (Sarjana Kejuruteraan (Elektrik)) - Universiti Teknologi Malaysia, 1993Includes bibliographical referencesThis thesis deals with the optimisation and control of economic dispatch for power systems. The economic dispatch problem is modelled in three different algorithms to cater for many physical and system operational constraints. The first and initial modelling strategy is based on a steepest descent technique whose formulation includes load demand with spinning reserve requirements, loading and deloading rates, and limits of generation outputs. The second modelling strategy is based on a Dantzig-Wolfe decomposition principle which produces a master problem solved by revised simplex method, and a capacitated transportation subproblem solved by network flow algorithm. The third modelling strategy is based on a combination of Lagrangian Relaxation and period-by-period decomposition. The Lagrangian Relaxation is solved using subgradient optimisation while the period-by-period decomposotion is solved using priority lists. The efficacy and efficiency of all the above three methods and solution schemes have been demonstrated by case studies. The last two methods are believed to be suitable for on-line dispatch of large power system.15SPSLElectric power systemsElectric power systems |
| spellingShingle | Electric power systems Electric power systems 273990 Shahdan Sudin Mohd. Ruddin Abdul Ghani, supervisor Fakulti Kejuruteraan Elektrik Optimisation and control of economic dispatch for power systems / |
| title | Optimisation and control of economic dispatch for power systems / |
| title_full | Optimisation and control of economic dispatch for power systems / |
| title_fullStr | Optimisation and control of economic dispatch for power systems / |
| title_full_unstemmed | Optimisation and control of economic dispatch for power systems / |
| title_short | Optimisation and control of economic dispatch for power systems / |
| title_sort | optimisation and control of economic dispatch for power systems |
| topic | Electric power systems Electric power systems |
| work_keys_str_mv | AT 273990shahdansudin optimisationandcontrolofeconomicdispatchforpowersystems AT mohdruddinabdulghanisupervisor optimisationandcontrolofeconomicdispatchforpowersystems AT fakultikejuruteraanelektrik optimisationandcontrolofeconomicdispatchforpowersystems |