Abstract
This article presents a cloud environment for analyzing Distribution Energy Resource Management System (DERMS) through the Backward Forward Sweep (BFS) method. The software architecture is modeled in five layers: (i) DERMS clients, (ii) standardization from the network data, (iii) integration with API (Application Programming Interface) available in a cloud environment, (iv) normalization and caching, and (v) processing of Power Flow algorithm. The BFS cloud environment provides a Load Flow API for supporting Energy Resource Management of Distribution Systems. The use of different methods through APIs makes it possible to choose the most adherent method to the network topology, load models, constraints flexibility, and generation limits. The proposal provides benefits such as computational time, accessibility, availability, flexibility, ease, and cost-effectiveness. The BFS in the cloud is tested on Taiwan Power Company 83-bus systems showing scalability, performance, and convergence in two tests scenarios considering 50 load flow transactions per second and 100 load flow transactions per second.
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Neto, A.B. et al. (2023). The BFS Method in a Cloud Environment for Analyzing Distributed Energy Resource Management Systems. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. (eds) Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). BTSym 2021. Smart Innovation, Systems and Technologies, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-031-04435-9_35
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