Load profile management by using battery energy storage and solar PV in power distribution systems | |
| Author | Kean Pagna |
| Call Number | AIT RSPR no.ET-18-15 |
| Subject(s) | Storage batteries Photovoltaic power systems Electric power systems |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ET-18-15 |
| Abstract | Firstly, the distribution system connected with the BESS that is based on theoretical modeling which has been analyzed in economic aspect. The differential cost of energy (DCE) can calculate from an optimal battery charging and discharging method. Stochastic probability has been used to analysis on seasonal load variation and then calculate the annual maximum DCE. Moreover, there are the different outage strategies with and without the BESS to compare. The calculation is considered with multiday that the load demand higher than the current capacity of power limitation at peak time. There are three methods to calculate such as conventional, load control method-I and load control method-II. Secondly, the corrected capacity of BESS to a grid integrated PV system is highly necessary in cases like power outages. This purpose investigates the optimum size of a BESS in a grid integrated PV system with selling and buying energy to grid and peak shaving method. The corrected capacity of BESS used in grid connected PV system extremely depend on the electricity tariff and the battery degradation cost. When we considered the one for one tariff system, the Solar system without the BESS get more benefits. Finally, the work targets peak shaving as a service providing by an Li-Ion BESS installed in the distribution grid that can avoid grid below-utilization and delay the need for grid reinforcements. From this result to be financially feasible, and able to compare with conventional grid reinforcement approach. Measuring strategies are proposed to find the ideal balance between initial investment cost and service time. The dimensioning strategies proposed involve the design of an energy storage that accommodates the average required battery capacity within the given depth of discharge (DoD) limits, and the use of remaining capacity to accommodate the energy requirements in times of higher load. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ET-18-15 |
| Type | Research Study Project Report (RSPR) |
| 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;Loc Thai Nguyen ; |
| Scholarship Donor(s) | Electricite Du Cambodge (EDC);Asian Institute of Technology Fellowship ; |
| Degree | Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2018 |