Abstract
This paper presents an improved comfort biased smart home load manager (iCBSHLM) for grid connected residential houses. The proposed algorithm discriminates household loads into class 1 (air-conditioner, heating) and class 2 loads (dishwasher, cloth washer and cloth dryer) and achieves electricity consumption reduction and electricity cost reduction of up to 2.9% and 7.5% respectively using dynamic pricing (Price1) over time of use pricing (Price0), while ensuring that indoor temperature is kept within the user prescribed range and without any violation. iCBSHLM advances existing home energy management systems (HEMs) by ensuring that vulnerable household residents (especially the elderly) can still benefit from smart grid initiatives like HEMs without any discomfort. Furthermore, this research presents a simplistic model for heating, ventilation and cooling (HVAC) loads using capacitor charging/discharging behaviour.
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Notes
- 1.
By positive we imply an inverse relationship in which electricity users reduce their usage of electricity based on increasing electricity rate.
- 2.
Direct load control (DLC) is defined as a system in which electricity users give the utility control over the operation of an equipment. The utility can in the case of peak demand or faults trigger such loads on/off without notifying the user. However, the user maintains an override over such device.
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Acknowledgement
The authors acknowledge the financial assistance of the National Research Foundation (NRF) and The World Academy of Sciences (TWAS) through the DST-NRF-TWAS doctoral fellowship towards this research. Opinions expressed and conclusions arrived at, are those of the authors and are not necessarily to be attributed to the NRF.
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Monyei, C.G., Viriri, S. (2018). An Improved Comfort Biased Smart Home Load Manager for Grid Connected Homes Under Direct Load Control. In: de Cos Juez, F., et al. Hybrid Artificial Intelligent Systems. HAIS 2018. Lecture Notes in Computer Science(), vol 10870. Springer, Cham. https://doi.org/10.1007/978-3-319-92639-1_44
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