Optimal day-ahead scheduling of a smart distribution network : considering the effect of demand response, electric vehicles and network reconfiguration | |
| Author | MP, Anand |
| Call Number | AIT Thesis no.ET-15-02 |
| Subject(s) | Smart power grids Electric vehicles |
| 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 smart grid refers to an efficient power network that is capable of coordinating the operation associated with the elements connected to the network. It can achieved through proper planning to ensure optimal energy production, transmission and distribution in an efficient, smart and economic way. Smart distribution networks (SDNs) as the leading sort of smart grid are accommodating increased quantities of renewable energy resources (RESs), distributed generators (DGs), storage devices along with the active customer participation through demand response programs. Additionally, these newly fashioned networks are equipped with advanced communication technologies which makes the system more interactive. However, all these features increased the complexity of planning and operation of SDNs demanding new methods and computational resources. In this context firstly, this thesis endeavor to develop a day-ahead operation planning schedule of a SDN by considering a well-designed demand management strategy for the operational cost minimization of the network. The results shows a logical approach from the system operator by scheduling less amount of RLs during low grid price hours and their participation is highly appreciated during the peak price hours. Secondly, the impact of periodical network reconfiguration on the monetary benefits and performance improvement of the network has been evaluated. The results proved the beneficial aspect of flexible network topologies on operational cost reduction and performance improvement of the network. Finally, a coordinated smart charging/discharging approach by integrating the EVs on the network is done and a most economic operation is planned by utilizing the influential support from DGs, RLs, EVs and RCSs for achieving optimal network configurations. The results showed a lesser dependency on both EVs and other DGs integrated on the network for optimally scheduling the network, while achieving further reduction in operation cost and improvement in the performance of the network. |
| Year | 2015 |
| 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) | Singh, Jai Govind;Dhakal, Shobhakar; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2015 |