Robust combined-objective particle swarm optimization for planning transition to plug-in hybrid electric vehicles | |
| Author | Sutisil Khedkaw |
| Call Number | AIT Thesis no.ET-12-09 |
| Subject(s) | Hybrid electric vehicles Robust optimization Swarm intelligence |
| 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 | In this thesis, the objective is to determine the maximum PHEV penetration planning at the least cost considering uncertainty by using Area Extension particle swarm optimization (AEPSO). The uncertainties consist of electricity price, increase of light duty vehicles, increase of base-load electricity demand and increase of power generation capacity. To deal with uncertainty, robust combined-objective is used to consider three scenarios with different probability. The test systems include five buses and thirty buses systems. The total cost includes electricity cost, environmental credit benefit and emission cost. The electricity cost is calculated from base-load and PHEV load demand in off-peak time. PHEV loads are uniformly distributed and connected to every load bus. The environmental credit is achieved by using PHEV because of CO2 reduction. The emission cost is a cost of emission released from generation units. AEPSO is minimizing the total cost subject to transmission capacity limit, power generation capacity limit and penetration limit constraints. Test results indicate that Area extension PSO gives lower total cost than the other 22 PSOs on the eighteen years (2008-2025) planning period. The maximum penetration is 20% in 2008 and increase 5% annually until 100% in 2025. For 5 bus system, the penetration is 20% at first year (2008) and also increases annually to 34% until eighteenth year (2025). For 30 bus system, the penetration is 20% at first year (2008) and also increases annually to 28% approximately until eighteenth year (2025). The study would lead to improvement of transmission system capability in transmission system expansion planning. |
| Year | 2012 |
| 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) | Weerakorn Ongsakul; |
| Examination Committee(s) | Marpaung, Charles O. P.;Singh, Jai Govind; |
| Scholarship Donor(s) | RTG Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2012 |