An approach to enhance the life of transformer and the battery of gridable vehicles in active distribution systems | |
| Author | Karki, Menaka |
| Call Number | AIT Thesis no.ET-17-05 |
| Subject(s) | Electric vehicles--Batteries Electric power systems--Materials |
| 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 | Taking into account the depleting of non-renewable energy resources and climate change issues, this is high time that the renewable energy resources, sustainable energy technology and techniques should be discovered and invented. The advancement of technology has brought a number of controllable loads in the electric network, meantime distributed generations in the distribution network, a number of control methods for generation and consumption thereby making our electric network more active yet flexible than ever. The integration and proper co-ordination of the electrical network and communication network has made power system smarter. However, this threatens the capability of existing electrical infrastructures and the equipment plus machineries. In this context, the thesis develops a model of a distribution electrical network consisting of RESs, GVs, constant lumped load where the number of discharging GVs is effectively controlled so as to minimize the transformer’s loss of life and the battery degradation. Also, this takes care of the controllable loads particularly, gridable vehicles by controlling their discharging every hour in 24-hours’ period. The loading in the transformer is minimized by increasing the number of discharging GVs so that the inside of the transformer does not gets heated up beyond 110°C at any instant of time. On the other hand, the discharging of batteries of GVs in a fleet is controlled so that the number of cycles remaining for each GVs is above the desired level. The problem formulation is done for loss minimization to be implemented in optimization problem, using PSO to get optimal power flow in the system. The result shows that the acceleration aging factor of the transformer is reduced and the battery’s life in terms of charge-discharge cycles is saved. |
| 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; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2017 |