TY - JOUR
T1 - RETRACTED
T2 - Energy management of the residential smart microgrid with optimal planning of the energy resources and demand side
AU - Chammam, Abdeljelil
AU - Alkhazaleh, Hamzah Ali
AU - Altalbawy, Farag M.A.
AU - Ved, Amit
AU - Singh, Ashish
AU - Kumar, Abhinav
AU - Sapaev, I. B.
AU - Alanssari, Ali Ihsan
AU - Abosaoda, Munther Kadhim
AU - Romaina, Y. S.
N1 - Publisher Copyright:
© The Author(s), published by EDP Sciences, 2024.
PY - 2024
Y1 - 2024
N2 - The study specifically aimed to model the optimal operation of these appliances based on their usage patterns, rather than relying on the capacity of demand flexibility in demand response (DR) and energy pricing. The modeling operation of the appliances is done using two-layer energy optimization. In this optimization, energy consumption by appliances is reshaped via DR and load shifting in first-layer optimization. Then, minimizing the consumption costs and consumers' discomfort in the second layer is formulated with consideration of the optimized consumption from the first layer. The lp-metric method is employed to solve the proposed optimization in the GAMS software. Finally, the efficiency of the two-layer optimization is confirmed using testing proposed case studies in the numerical simulation.
AB - The study specifically aimed to model the optimal operation of these appliances based on their usage patterns, rather than relying on the capacity of demand flexibility in demand response (DR) and energy pricing. The modeling operation of the appliances is done using two-layer energy optimization. In this optimization, energy consumption by appliances is reshaped via DR and load shifting in first-layer optimization. Then, minimizing the consumption costs and consumers' discomfort in the second layer is formulated with consideration of the optimized consumption from the first layer. The lp-metric method is employed to solve the proposed optimization in the GAMS software. Finally, the efficiency of the two-layer optimization is confirmed using testing proposed case studies in the numerical simulation.
KW - Consumers' discomfort
KW - Demand flexibility
KW - Energy consumption
KW - Load shifting
KW - Optimal operation
UR - http://www.scopus.com/inward/record.url?scp=85206493643&partnerID=8YFLogxK
U2 - 10.2516/stet/2024079
DO - 10.2516/stet/2024079
M3 - Article
AN - SCOPUS:85206493643
SN - 1953-8189
VL - 79
JO - Science and Technology for Energy Transition (STET)
JF - Science and Technology for Energy Transition (STET)
M1 - 76
ER -