Fault detection and isolation in medium voltage AC network : a case study of praekasa microgrid in Thailand | |
| Author | Sittinan Muanchaona |
| Call Number | AIT Thesis no.SE-22-10 |
| Subject(s) | Solar power plants--Thailand Microgrids (Smart power grids)--Thailand Hydroelectric power plants--Thailand |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Sustainable Energy Transition |
| Publisher | Asian Institute of Technology |
| Abstract | In a microgrid, small hydroelectric power plants, fuel cells, solar power plants, combined heat and power (CHP) plants, micro-turbines, wind turbines, and solar power plants are all installed close to the local power demands. As a result, the power supply's dependability, effectiveness, and quality are increased. A distribution medium voltage (MV) system without DGs is just a single-point source network for feeding faults, which generally employs overcurrent relays to detect fault occurrence. Overcurrent relays serve as main and backup protection with current-graded time in a typical radial distribution network protection strategy. However, the protection component is one of the main difficulties when implementing a microgrid. The current fault characteristics in a microgrid differ in isolated and grid-connected modes due to variances in power network architecture and topology, making the microgrid protection approach more difficult. Therefore, this thesis aims to address the method to detect and segment the fault area based on the differential protection concept in MVAC microgrid to handle microgrid protection issues. This proposed method's performance is evaluated using a DIgSILENT PowerFactory simulation. All fault event results are plotted in operating region whereas all load disturbance event results are plotted in restraint region. Four scenarios (SC) are simulated to ensure the proposed method. SC1 and SC2 results shows that the proposed method can detect and segment any type of fault with different fault impedance and any location of fault. SC3 ensures that the proposed method can operate with DG’s local control. SC4 shows that the proposed method can be used with load shedding method to recover system frequency after abnormal conditions when the MVAC microgrid operates in islanded mode. |
| Year | 2022 |
| 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 | Sustainable Energy Transition (SE) |
| Chairperson(s) | Singh, Jai Govind |
| Examination Committee(s) | Weerakorn Ongsakul;Loc Thai Nguyen |
| Scholarship Donor(s) | MEA-AIT Academic Cooperation Program;Asian Institute of Technology Scholarships |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2022 |