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Sequencing paths of optimal control adjustments determined by the optimal reactive dispatch via Lagrange multiplier sensitivity analysis

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Autor(es):
Barros, Rafael Martins ; Lage, Guilherme Guimaraes ; Lira Rabelo, Ricardo de Andrade
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: European Journal of Operational Research; v. 301, n. 1, p. 13-pg., 2022-08-16.
Resumo

Optimal power flows play a key role in power system operation planning. While most papers in the literature focus on attaining optima, sequencing paths of optimal control adjustments that lead the sys-tem from an initial operating point towards the optimum remain scarcely accounted for. Thus, this work proposes a practical framework based upon power system steady-state analysis for sequencing strictly feasible paths of optimal control adjustments determined by the Optimal Reactive Dispatch (ORD) via Lagrange multiplier sensitivity analysis. The proposed framework is methodologically founded on the re-formulation of the ORD in terms of optimal control adjustments rather than optimal control values, suc-cessive Newton's power flow calculations to assure a strictly feasible path from the initial operating point towards the optimum, and successive resolutions of the reformulated ORD's associated dual problem to determine Lagrange multipliers along such sequence path. Thus, pondering optimal control adjustments by their respective Lagrange multipliers indicates which control action must be realised. Numerical re-sults for IEEE test-systems with up to 300 buses with an increased number of controllable variables are obtained to validate and illustrate the efficiency and robustness of the proposed framework.(c) 2021 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 19/25104-0 - Programação não linear dinâmica inteira mista aplicada à resolução do problema de fluxo de potência ótimo incorporando a definição da sequência de ajustes dos controles
Beneficiário:Guilherme Guimarães Lage
Modalidade de apoio: Auxílio à Pesquisa - Regular