Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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Study on Optimal Control Algorithm of Electricity Use in a Single Family House Model Reflecting PV Power Generation and Cooling Demand

단독주택 태양광 발전과 냉방수요를 반영한 전력 최적운용 전략 연구

  • Seo, Jeong-Ah (Department of Mechanical Engineering, Graduate School Sejong University) ;
  • Shin, Younggy (Department of Mechanical Engineering, Graduate School Sejong University) ;
  • Lee, Kyoung-ho (Solar Thermal Laboratory, Korea Institute of Energy Research)
  • Received : 2016.08.01
  • Accepted : 2016.08.25
  • Published : 2016.10.10
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Abstract

An optimization algorithm is developed based on a simulation case of a single family house model equipped with PV arrays. To increase the nationwide use of PV power generation facilities, a market-competitive electricity price needs to be introduced, which is determined based on the time of use. In this study, quadratic programming optimization was applied to minimize the electricity bill while maintaining the indoor temperature within allowable error bounds. For optimization, it is assumed that the weather and electricity demand are predicted. An EnergyPlus-based house model was approximated by using an equivalent RC circuit model for application as a linear constraint to the optimization. Based on the RC model, model predictive control was applied to the management of the cooling load and electricity for the first week of August. The result shows that more than 25% of electricity consumed for cooling can be saved by allowing excursions of temperature error within an affordable range. In addition, profit can be made by reselling electricity to the main grid energy supplier during peak hours.

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References

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