scholarly journals Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties

2021 ◽  
Vol 290 ◽  
pp. 116706
Author(s):  
Aleksei Mashlakov ◽  
Evangelos Pournaras ◽  
Pedro H.J. Nardelli ◽  
Samuli Honkapuro
2019 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Behnam Mohammadi-Ivatloo ◽  
Parinaz Aliasgahri ◽  
Mehdi Abapour

Smart grid integration needs a highly accurate power scheduling to minimizes the losses and efficiently utilize the power supply to minimize the loss. Scheduling of a smart grid interface is monitored based on single or multiple objectives scheduler, where the smart grids are scheduled based on the measured parameters of power dispatch and the consumption model. Wherein, multi objective scheduling results in prominent result, the system is a linear monitoring model, where no previous observations are considered in making present decision. This constraint the accuracy of scheduling. In this paper, a new feedback scheduling operation based on feedback operation is proposed. the approach significantly feedbacks the past parameter variation and leads to an optimal power supply in smart grid interface. The experimental results obtained signifies a optimal improvement in the decision delay and power compensation.


2013 ◽  
Vol 14 (1) ◽  
pp. 438-447 ◽  
Author(s):  
Xin Yang ◽  
Xiang Li ◽  
Ziyou Gao ◽  
Hongwei Wang ◽  
Tao Tang

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jiuren Qin ◽  
Zhaoxue Wang ◽  
Kai Gao ◽  
Lujie Zhong

The spread of Edge Internet of Things (IoT) radically changes our lifestyle. However, the multimedia services in edge IoT are still stuck by inefficiency. The dynamic typologies perplex the transmission of massive real-time data. To solve this problem, multipath transmission control protocol (MPTCP) which has a natural advantage in transmission robustness and bandwidth aggregation is becoming a good choice. In this paper, failure-aware and delay-predicted multipath virtual queue scheduling (FD-MVQS) is proposed to optimize the MPTCP performance in edge IoT. FD-MVQS constructs a two-plane cooperative scheduling system. In the control plane, the transmission failure estimation and chaos theory-based arrival delay prediction methods are introduced to provide the foundation for prescheduling. In the data plane, the multipath virtual queue scheduling is designed to allocate segments to different subflows. Simulation results showed that the proposed FD-MVQS performed better than standard and typical multipath transmission solutions in throughput, delay, and segment disorder.


Author(s):  
Meng Qin ◽  
Huibo Liu ◽  
Guoying Huang ◽  
Xiaohui Xu ◽  
Lijuan Chen

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