Combined scheduling of electric vehicles and renewable energy under uncertainty
| dc.contributor.author | Bilal Ahmed | |
| dc.date.accessioned | 2018-01-19T04:48:50Z | |
| dc.date.available | 2018-01-19T04:48:50Z | |
| dc.date.issued | 2017 | |
| dc.description | Supervised By:Dr. Shaukat Iqbal | en_US |
| dc.description.abstract | The increasing energy demand due to industrial and consumer load as well as population has made it imperative to seek out various other resources to harness power. Conventional methods of electric power generation have failed to keep up with the demand in the energy; it is a rather depleting source of power production. These hydrocarbon fuels also pose a serious threat to the environment as the global warming has increased significantly due to their use. The need of the hour is to develop such a system which would be able to cater the needs of the increased energy demand as well as be less of a threat to the environment. Much research has been done on the renewable energy resources and it has produced significant results. With the advancement in research and development, more efficient and better means of electric power production have been devised. The instances include the ever-improving PV panels, Wind energy units and Energy produced from biomass etc. The concept of micro-grid is exactly the crux of the above discussion where conventional power producing resources work in parallel with the renewable energy resources in order to provide smooth and uninterrupted power supply. Clever algorithms and methods have been devised so that all resources work in synchronism with each other in an optimal way.The aim is to amalgamate the resources in such a way that we are able to get the maximum output power at a minimum cost. Various cost effective optimization schemes have been employed in order to yield a balanced system with a low operating cost and a very good efficiency. Incorporation of the optimization methods into the system not only renders it cost effective and efficient, it can also produce profit to consumer when the designed system supplies power to the grid. The demand of electrical vehicles has risen significantly in the recent years. These vehicles offer zero emissions resulting in no harm to the environment. Vehicle to grid (V2G) is technique that has evolved over the years in the developed countries where a fleet of electrical vehicles can provide surplus power back into the grid hence profiting the consumer. Later in this dissertation, this V2G strategy has been extensively addressed. The aim of this dissertation is to provide a combined Electric vehicle and renewable energy resources schedule using the technique of stochastic programming. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/2517 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management and Technology Lahore | en_US |
| dc.subject | Combined scheduling of electric vehicles | en_US |
| dc.subject | MS Thesis | en_US |
| dc.title | Combined scheduling of electric vehicles and renewable energy under uncertainty | en_US |
| dc.title | Combined scheduling of electric vehicles and renewable energy under uncertainty | en_us |
| dc.type | Thesis | en_US |
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