2023
DOI: 10.1109/tia.2023.3307070
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Distribution Network Reconfiguration Considering the Impacts of Local Renewable Generation and External Power Grid

Haixiao Li,
Aleksandra Lekić,
Shan Li
et al.
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Cited by 3 publications
(1 citation statement)
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“…Joint optimization is a distributed optimization method that decomposes the global optimization problem into multiple sub-problems for a coordinated solution, it has a low communication burden, strong controllability, and high flexibility [9,10]. Collaborative optimization generally uses methods such as Lagrangian relaxation [11,12], KKT conditional decomposition [13], and Benders decomposition [14,15] to decouple and solve the global optimization model. However, in solving the problem of collaborative reactive power optimization in power systems, more studies are using Lagrangian relaxation methods, mainly including the auxiliary problem principle (APP) [16] and alternating direction multiplier method ADMM [17].…”
Section: Introductionmentioning
confidence: 99%
“…Joint optimization is a distributed optimization method that decomposes the global optimization problem into multiple sub-problems for a coordinated solution, it has a low communication burden, strong controllability, and high flexibility [9,10]. Collaborative optimization generally uses methods such as Lagrangian relaxation [11,12], KKT conditional decomposition [13], and Benders decomposition [14,15] to decouple and solve the global optimization model. However, in solving the problem of collaborative reactive power optimization in power systems, more studies are using Lagrangian relaxation methods, mainly including the auxiliary problem principle (APP) [16] and alternating direction multiplier method ADMM [17].…”
Section: Introductionmentioning
confidence: 99%