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A probabilistic approach to short-term solar-wind-hydro-thermal coordination by using cumulants and modified clustering-based scenario reduction technique | |
Author | Pham Xuan Dien |
Call Number | AIT Thesis no.ET-19-01 |
Subject(s) | Renewable energy sources Electric power transmission |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy, School of Environment, Resources and Development |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. ET-19-01 |
Abstract | This study propose a comprehensive method to obtain probabilistic and optimal solution to short-term hydrothermal coordination problem concerning fuel related constraint, transmission constraint, and penetration of wind and solar energy resources with their uncertainty. To take the uncertainty of RES into account in probabilistic short-term hydrothermal coordination problem, the study proposes using scenario-based modeling method in which a representative set of scenarios of wind and solar power output is formed by using cumulants technique, Monte Carlo simulation and modified clustering-based scenario reduction technique. The study also introduces using a hybrid algorithm being combination of Enhanced adaptive Lagrangian Relaxation and Augmented Lagrangian Relaxation methods to solve short-term hydrothermal coordination problem taking account of fuel and transmission constraints. Two testing system including a 10-thermal unit system and IEEE RTS 1979 system are used to validate the proposed method. The obtained results shows promising advantages of the proposed method in terms of time saving and production cost reduction. Moreover, to prove the robust of method, it is applied in Viet Nam power system 2020 with massive input data of 300 units. Additionally, the probabilistic results provide insight into the impacts of uncertain input variable on output variables, being very useful information for decision makers. |
Year | 2019 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ET-19-01 |
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;Kumar, Sivanappan; |
Scholarship Donor(s) | Vietnam Electricity (EVN); |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2019 |