Distributed Optimal Power Flow Using ADMM

By Tomaso Erseghe. IEEE Transactions on Power Systems, 2014

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A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems (2017, unknown): “Reference [117] also describes an ADMM approach that regionally decomposes subproblems based on shared rectangular voltage coordinates.”
Thinking fast and slow: Optimization decomposition across timescales (2017, unknown): “, communication networks [11], [28], [44], power systems [15], [34], robotics [37], [45].”
Review of Challenges and Research Opportunities for Voltage Control in Smart Grids (2019, methodology): “The well-known decentralized and iterative algorithms, e.g. APP [130], ADMM [131], AND [132] or OCD [133], are applied, and the generalized Benders decomposition algorithm is also tested in [134], in which a global reactive power optimization model is proposed for transmission and distribution…”
Distributed Energy Trading: The Multiple-Microgrid Case (2013, background): “Alternatively, the work in [17] resorts to the so-called alternating direction method of multipliers (see [20] for further information) to solve the power flow problem in a distributed manner.”
Exogenous Cost Allocation in Peer-to-Peer Electricity Markets (2019, methodology): “Concurrently [10] used the alternating direction method of multipliers (ADMM), developed by [11], to solve optimal power flow in a distributed manner.”