TY - GEN
T1 - A resource sharing model in a power packet distribution network
AU - Ando, H.
AU - Takahashi, R.
AU - Azuma, S.
AU - Hasegawa, M.
AU - Yokoyama, T.
AU - Hikihara, T.
N1 - Publisher Copyright:
© 2018 IEEJ Industry Application Society.
PY - 2018/10/22
Y1 - 2018/10/22
N2 - Distributing power packets in a network is an efficient technique for supplying power to distributed loads. In the case that the amount of power is limited in a closed network system, the consensus algorithm can be useful for sharing the limited power resource in the system. For example, we consider a power network consisting of one power source and N(≫1) loads. We assume that each load has a buffer that can store the power for driving the load. It is important to efficiently share the limited power from the single source. One possible way for sharing power is as follows. First, all loads are divided into several clusters. Next, the power source sends power packets to each cluster by responding to the feedback information on how much power is required by the loads in the cluster. If the power demand of one load exceeds the power supply from the source, the deficient power is accommodated by the consensus algorithm among the buffers within the cluster. We discuss by numerical simulations how to cluster the loads in terms of the balance between the cost for distributing power from the source and the performance of loads.
AB - Distributing power packets in a network is an efficient technique for supplying power to distributed loads. In the case that the amount of power is limited in a closed network system, the consensus algorithm can be useful for sharing the limited power resource in the system. For example, we consider a power network consisting of one power source and N(≫1) loads. We assume that each load has a buffer that can store the power for driving the load. It is important to efficiently share the limited power from the single source. One possible way for sharing power is as follows. First, all loads are divided into several clusters. Next, the power source sends power packets to each cluster by responding to the feedback information on how much power is required by the loads in the cluster. If the power demand of one load exceeds the power supply from the source, the deficient power is accommodated by the consensus algorithm among the buffers within the cluster. We discuss by numerical simulations how to cluster the loads in terms of the balance between the cost for distributing power from the source and the performance of loads.
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U2 - 10.23919/IPEC.2018.8507603
DO - 10.23919/IPEC.2018.8507603
M3 - Conference contribution
AN - SCOPUS:85057340912
T3 - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
SP - 3665
EP - 3669
BT - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Y2 - 20 May 2018 through 24 May 2018
ER -