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Multi-objective Optimization of Campus Microgrid System Considering Electric Vehicle Charging Load Integrated to Power Grid by Yongyi Huang; Hasan Masrur; Molla Shahadat Hossain Lipu; Harun Or Rashid Howlader; Mahmoud M. Gamil; Akito Nakadomari; Paras Mandal; Tomonobu Senjyu is a Environmental Science article available to read on EtoBox.
What is Multi-objective Optimization of Campus Microgrid System Considering Electric Vehicle Charging Load Integrated to Power Grid about?
The increasing use of renewable energy sources and electric vehicles (EVs) has necessitated changes in the design of microgrids. In order to improve the efficiency and stability of renewable energy sources and energy security in microgrids, this paper proposes an optimal campus microgrid design that includes EV charging load prediction and a constant power support strategy from the main grid. The problem of load variation due to changes in the number of EVs connected to the microgrid will occur, and this paper presents a detailed prediction method and effective solutions. The load profile of EVs connected to the microgrid is simulated using the Monte Carlo (MC) method, taking into account EV owners' usage habits, including charging options and dwell time, as well as battery parameters, including state of charge (SOC) and size. The simulation results show that the peak-to-valley difference in grid power after adding EVs is close to 14 times due to the uniformity of travel between staff and students. Based on how long EVs stay in the parking place, a charging and discharging policy for participation in grid dispatch is developed, which has reduced the gap between the peak and the val
Who reads Multi-objective Optimization of Campus Microgrid System Considering Electric Vehicle Charging Load Integrated to Power Grid?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Yongyi Huang; Hasan Masrur; Molla Shahadat Hossain Lipu; Harun Or Rashid Howlader; Mahmoud M. Gamil; Akito Nakadomari; Paras Mandal; Tomonobu Senjyu
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Environmental Science (Physical Sciences)