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This study examines the impacts of uncertainties in solar resources on electricity cost, and energy demands on the control of the energy management system (EMS) and economic performances of the hybrid-solar with the grid-tied system. The optimal charge-discharge schedule for the 227.2 kWh/100 kW battery pack is generated using the PSO algorithm, which leads to decreased electricity bills. The S5 dormitory on campus acts as a prosumer with a 138.4 kWp solar rooftop system integrated with a 5.99 MWp hybrid photovoltaic grid-tie system. The optimal charge-discharging schedule is used to analyze three cases of uncertain PV energy production: the high level of 700 kWh/day, the middle level of 600 kWh/day, and the low level of 252 kWh/day. Case I exhibits the most similarity to the simulation, with a minimal energy import (0.22 kWh/week) and the lowest electricity bill (94 THB/month, 1 THB = 0.029 $US). Conversely, Case III, with the lowest PV generation (252.4 kWh/day), shows significantly higher energy import (45.0 kWh/week) and the highest electricity bill (8,595 THB/month).

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Analyzing the Impact of Uncertainty in Solar Energy Generation on the Economic Performance of Grid-Tied Hybrid Photovoltaic Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Thipwan Fangsuwannarak,
  • Hideki Kakhai,
  • Jirut Rhianprayoon,
  • Chakpetch Sutined,
  • Reungpong Reunghirun

摘要

This study examines the impacts of uncertainties in solar resources on electricity cost, and energy demands on the control of the energy management system (EMS) and economic performances of the hybrid-solar with the grid-tied system. The optimal charge-discharge schedule for the 227.2 kWh/100 kW battery pack is generated using the PSO algorithm, which leads to decreased electricity bills. The S5 dormitory on campus acts as a prosumer with a 138.4 kWp solar rooftop system integrated with a 5.99 MWp hybrid photovoltaic grid-tie system. The optimal charge-discharging schedule is used to analyze three cases of uncertain PV energy production: the high level of 700 kWh/day, the middle level of 600 kWh/day, and the low level of 252 kWh/day. Case I exhibits the most similarity to the simulation, with a minimal energy import (0.22 kWh/week) and the lowest electricity bill (94 THB/month, 1 THB = 0.029 $US). Conversely, Case III, with the lowest PV generation (252.4 kWh/day), shows significantly higher energy import (45.0 kWh/week) and the highest electricity bill (8,595 THB/month).