Dynamic Network Energy Management via Proximal Message Passing

By Matt Kraning, Eric King-Wah Chu, Javad Lavaei, Stephen P. Boyd. Found. Trends Optim., 2013

335 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/00af88e55f9e9457beb8d63099de86bd82ceca04

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In Electrical and Electronic Engineering

Citations in the corpus

Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem (2014, background): “The total generation cost is labeled by “Cost”, “Time” is the running time in seconds, and “It” is the number of iterations.”
Optimal Reactive Power Dispatch for Voltage Regulation in Unbalanced Distribution Systems (2016, methodology): “In this regard, the ability to perform the optimization tasks in parallel can dramatically reduce computation time and complexity for large-scale systems [21].”
Designing Decentralized Markets for Distribution System Flexibility (2019, background): “Local energy market designs based on distributed price-based optimization strategies are presented in [17]–[20].”
A survey of distributed optimization (2019, neutral): “…of distributed optimization to DER coordination, which has received substantial attention in both control and power system ﬁelds in recent years (see, e.g., Bidram et al., 2014; Hadjicostis et al., 2018; Kraning et al., 2014; Molzahn et al., 2017; Nedi ´c & Liu, 2018; Qin et al., 2017 ).”
Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence (2014, neutral): “5”
Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, methodology): “The control strategy in [123] uses the DC power”
On-Line Building Energy Optimization Using Deep Reinforcement Learning (2017, background): “A more rigorous formulation of the building electrical components and their associated constrains could be found in [19].”
Bilateral Contract Networks for Peer-to-Peer Energy Trading (2019, background): “Although, optimisation dual price variables can be interpreted as competitive energy prices [13]–[15], they will not incentivise coordination if individual agents have market power.”
Optimal Tap Setting of Voltage Regulation Transformers in Unbalanced Distribution Systems (2016, methodology): “This method has been successfully applied in power systems for the dispatch of distributed generation and deferrable loads [9], [15], as well as state estimation [17].”
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems (2017, methodology): “See [70] for further details.”
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding (2013, background): “These techniques have been used in a broad range of applications including imaging [39–41], control [42–46], estimation [47], signal processing [48–51], finance [52], distributed optimization [53,54], and many others.”
Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid (2015, methodology): “Furthermore, it does not require a global update of the Lagrange multiplier associated with the power balance equation as is the case in ADMM.”
Multiclass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences (2019, methodology): “To satisfy informational constraints for scalability and data privacy, the decomposable structure of the multi-class energy management problem is exploited to devise a distributed pricedirected optimisation mechanism, using ADMM.”
Distributed Energy Trading: The Multiple-Microgrid Case (2013, background): “Due to the fact that these centralized solutions may suffer from scalability [11], [12] and privacy issues, distributed approaches based on optimization tools have been proposed in [13], [14], and more recently in [15]–[17].”
Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants (2018, background): “In particular, strategies based on dual price variable updates can be interpreted as competitive auction mechanisms 44 .”