Probabilistic and combinatorial approaches for power loss minimization in distribution systems | |
| Author | Moatafa, Sk. Md. Golam |
| Call Number | AIT Thesis no.ET-17-02 |
| Subject(s) | Electric power distribution Distributed generation of electric power |
| 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 | The number of Wind Power Distributed Generators are increasingly integrated in power systems because of having environmental friendly and technically sound characteristics. It is prevalent that the non-optimal size and placement of Distributed Generation (DGs) can cause high power loss and unexpected voltage profile variation on feeder. This thesis study focus on the probabilistic approach to design of Distributed Generation (DGs) and its impact on low voltage (LV) and medium voltage (MV) feeder. Monte Carlo simulation based probabilistic power flow considering stochastic nature of wind and solar power generation and uncertainty of load variation are employed. The proposed method is simple that used open source MATLAB software including MATPOWER tools to analyse and design low voltage and medium voltage feeder. This method can furnish several choices to utilities/owners to place WT-DGs and PV-DGs at different suitable nodes. Moreover, a new technique called combinatorial method have been developed for optimal capacitor placement and employed with DGs to reduce the distribution loss in a significant level. The method will be tested on different case study using modified IEEE-16, practical Indian practical 22-busand IEEE-69-busnetwork and the effect of DGs on the system voltage profile and loss are investigated accordingly. |
| 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 Development Bank – Japan Scholarship Program (ADB - JSP) |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2017 |