TY - GEN
T1 - A min-conflict algorithm for power scheduling problem in a smart home using battery
AU - Makhadmeh, Sharif Naser
AU - Khader, Ahamad Tajudin
AU - Al-Betar, Mohammed Azmi
AU - Naim, Syibrah
AU - Alyasseri, Zaid Abdi Alkareem
AU - Abasi, Ammar Kamal
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2021.
PY - 2021
Y1 - 2021
N2 - Scheduling operations of smart home appliances using an electricity pricing scheme is the primary issue facing power supplier companies and their users, due to the scheduling efficiency in maintaining power system and reducing electricity bill (EB) for users. This problem is known as power scheduling problem in a smart home (PSPSH). PSPSH can be addressed by shifting appliances operation time from period to another. The primary objectives of addressing PSPSH are minimizing EB, balancing power demand by reducing peak-to-average ratio (PAR), and maximizing satisfaction level of users. One of the most popular heuristic algorithms known as a min-conflict algorithm (MCA) is adapted in this paper to address PSPSH. A smart home battery (SHB) is used as an additional source to attempt to enhance the schedule. The experiment results showed the robust performance of the proposed MCA with SHB in achieving PSPSH objectives. In addition, MCA is compared with Biogeography based Optimization (BBO) to evaluate its obtained results. The comparison showed that MCA obtained better schedule in terms of reducing EB and PAR, and BBO performed better in improving user comfort.
AB - Scheduling operations of smart home appliances using an electricity pricing scheme is the primary issue facing power supplier companies and their users, due to the scheduling efficiency in maintaining power system and reducing electricity bill (EB) for users. This problem is known as power scheduling problem in a smart home (PSPSH). PSPSH can be addressed by shifting appliances operation time from period to another. The primary objectives of addressing PSPSH are minimizing EB, balancing power demand by reducing peak-to-average ratio (PAR), and maximizing satisfaction level of users. One of the most popular heuristic algorithms known as a min-conflict algorithm (MCA) is adapted in this paper to address PSPSH. A smart home battery (SHB) is used as an additional source to attempt to enhance the schedule. The experiment results showed the robust performance of the proposed MCA with SHB in achieving PSPSH objectives. In addition, MCA is compared with Biogeography based Optimization (BBO) to evaluate its obtained results. The comparison showed that MCA obtained better schedule in terms of reducing EB and PAR, and BBO performed better in improving user comfort.
KW - Min-conflict algorithm
KW - Optimization
KW - Power scheduling problem in a smart home
KW - Smart home battery
UR - https://www.scopus.com/pages/publications/85088538319
U2 - 10.1007/978-981-15-5281-6_33
DO - 10.1007/978-981-15-5281-6_33
M3 - Conference contribution
AN - SCOPUS:85088538319
SN - 9789811552809
T3 - Lecture Notes in Electrical Engineering
SP - 489
EP - 501
BT - Proceedings of the 11th National Technical Seminar on Unmanned System Technology, NUSYS 2019
A2 - Md Zain, Zainah
A2 - Ahmad, Hamzah
A2 - Pebrianti, Dwi
A2 - Mustafa, Mahfuzah
A2 - Abdullah, Nor Rul Hasma
A2 - Samad, Rosdiyana
A2 - Mat Noh, Maziyah
PB - Springer
T2 - 11th National Technical Symposium on Unmanned System Technology, NUSYS 2019
Y2 - 2 December 2019 through 3 December 2019
ER -