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Optimization of energy management system in a hybrid energy source
|Authors: ||Lin, Shin-Ying|
smart grid;electric vehicles;renewable energy;battery energy storage system;time-of-use rate
|Issue Date: ||2018-08-22T03:40:20Z
The rise of environmental protection and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources and electric vehicles (EVs) into existing time-of-use (TOU) rate users. However, installation EVs and their charging/discharging systems are costly for a large scale TOU user. Therefore, development of more innovative and sophisticated energy management systems (EMS) to coordinate the EVs charging/discharging load and TOU user’s load, and increase the economic benefits of EVs may become a more important issue in assessing whether the TOU would agree to set up EVs and their charging/discharging systems. The goal in this dissertation is to develop the direct search method (DSM) to solve the operating schedule of a renewable energy based TOU rate industrial user with large EV penetrations and battery energy storage system (BESS). The developed DSM software is a useful tool to evaluate the effects of electric vehicle charging/discharging strategy, operation mode and penetration level on the operating schedule of a renewable energy based TOU rate user. The computer program developed in this research can also be a power tool for TOU rate industrial users to evaluate the economic benefits of EVs. The results may serve as a tool for Taiwan power company and TOU users to assess and set up EVs and may serve as a reference for domestic promotion of smart grid, thereby contributing positively to the promotion of smart grid and EV.
|Appears in Collections:||[輪機工程學系] 博碩士論文|
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