2018/05/18 by Eder Batista Tchawou Tchuisseu, Tchuisseu, Eder Batista Tchawou, Damià Gomila +3
Computer Science · Engineering · #Age of Information Optimization #FOS: Electrical engineering #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Signal Processing (eess.SP) #Smart Grid Energy Management #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1805.07432
openalex publication_date 2018/05/18 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
The increase of electric demand and the progressive integration of renewable\nsources threatens the stability of the power grid. To solve this issue, several\nmethods have been proposed to control the demand side instead of increasing the\nspinning reserve on the supply side. Here we focus on dynamic demand control\n(DDC), a method in which appliances can delay its scheduled operation if the\nelectric frequency is outside a suitable range. We have recently shown that DDC\neffectively reduces small and medium-size frequency fluctuations but, due to\nthe need of recovering pending tasks, the probability of large demand peaks,\nand hence large frequency fluctuations, may actually increase. Although these\nevents are very rare they can potentially trigger a failure of the system and\ntherefore strategies to avoid them have to be addressed. In this work, we\nintroduce a new method including communication among DDC devices belonging to a\ngiven group, such that they can coordinate opposite actions to keep the group\ndemand more stable. We show that for this method the amount of pending tasks\ndecreases by a factor 10 while large frequency fluctuations are significantly\nreduced or even completely avoided.\n