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In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities.
Therefore, this paper proposes a source–storage–load coordination and optimization strategy based on edge computation, which deploys “edge nodes” at the points close to the data, and coordinates and optimizes the source–storage–load based on edge computing.
The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated 'source-network-load-storage' approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage.
This corroborates the viability of the proposed 'integrated planning and scheduling' model for the power systems. Export citation and abstract BibTeX RIS Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
Source-Network-Load-Storage Coordinated Control System Based on Distribution IOT Cloud Platform and Virtual Power Plant March 2021 IOP Conference Series Earth and …
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In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of …
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