Short-run electricity generation scheduling considering different fossil and renewable supply constraints | |
| Author | Pawarong Thepparat |
| Call Number | AIT Thesis no.ET-17-01 |
| Subject(s) | Electric power systems Renewable energy sources Scheduling (Management) |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Abstract | In this paper, Lagrangian Relaxation and Lambda-iteration method are used to solve unit commitment and economic dispatch problem applying with present 2016 (Objective 1) and future 2021 (Objective 2) Electricity Generation of Thailand which have different share of fuel for electricity generation. That is increasing share of renewable energy which is append with uncertainty. Thus Expected Energy Not Supplied (EENS) is added to find the optimal fuel cost of the system. Moreover, with both of objectives are applied with the scenarios: deficit in hydro power and natural gas supply, to find the optimal fuel cost, share of fossil fuel and distributed generation in abnormal situations. Finally, now a day, emission trading is applied in some countries to limit the carbon dioxide (CO2) emissions. To find result of emission trading cohere future electricity generation structure, Emission Trading Scheme (ETS) is applied to 2021 electricity generation structure to find gain or loss. For these reasons, the results are useful for pointing out the efficient operation not only at the present but also projecting future (2021) of Thailand Electricity Generation system about optimal fuel cost, expected interruption cost, spinning reserve, share of fuel and distributed generation. Furthermore, the study continues how ETS causes to the optimal cost in the future 2021. |
| Year | 2017 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Singh, Jai Govind |
| Examination Committee(s) | Weerakorn Ongsakul;Dhakal, Shobhakar; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2017 |