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Decomposition-Coordination-Based Voltage Control for High Photovoltaic-Penetrated Distribution Networks under Cloud-Edge Collaborative Architecture
Author(s) -
Xutao Han,
Yajian Zhang
Publication year - 2022
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1155/2022/7280220
Subject(s) - cloud computing , subnetwork , computer science , distributed computing , enhanced data rates for gsm evolution , voltage , voltage droop , interval (graph theory) , voltage regulation , control theory (sociology) , engineering , real time computing , voltage regulator , control (management) , computer network , electrical engineering , telecommunications , mathematics , combinatorics , artificial intelligence , operating system
With the integration of high proportional photovoltaics (PVs) into distribution networks, the superposition of uncertain output power of PVs and stochastic load demand fluctuations have posed a serious challenge to voltage stability. In this paper, a multitimescale decomposition-coordination-based voltage control method is proposed under the cloud-edge cooperative architecture. The distribution network is firstly decomposed into several subnetworks. In each subnetwork, the edge computing device is equipped to realize the distributed control and provide external computing resources for the cloud center. Then, a multitimescale control scheme containing the interval dispatch stage and the real-time time-window stage is proposed. In the interval dispatch stage, a cloud-edge collaborative calculation strategy considering balanced resource allocation is well designed to obtain the global optimal power flows and the corresponding reference operating points of the voltage control equipment. Meanwhile, in the real-time time-window stage, a consensus-based voltage correction mechanism under the optimal power flow boundary constraints is designed to avoid the voltage violations caused by unexcepted power fluctuations deviating from the representative scenarios. Simulation results with the improved 33-bus and IEEE 123-bus systems have demonstrated the effectiveness of our proposed method.

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