Adaptive ADMM for Distributed AC Optimal Power Flow

Mhanna, Sleiman; Verbič, Gregor; Chapman, Archie C.

doi:10.1109/tpwrs.2018.2886344

Cited by 95 publications

(76 citation statements)

References 32 publications

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“…This information does not necessarily come from its own system, but may also come from other energy systems. This control mode, such as the Alternating Direction Method of Multipliers (ADMM), is largely dependent on the information system, and only through continuous information interaction with neighboring nodes can it achieve the same convergence as the centralized optimization algorithm [26]. Most distributed protection and distributed optimization are inseparable from information sharing.…”

Section: Information Security Requirements Of the System Operation Layermentioning

confidence: 99%

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Zeng

Cao

et al. 2020

Energies

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In order to ensure the information security, most of the important information including the data of advanced metering infrastructure (AMI) in the energy internet is currently transmitted and exchanged through the intranet or the carrier communication. The former increases the cost of network construction, and the latter is susceptible to interference and attacks in the process of information dissemination. The blockchain is an emerging decentralized architecture and distributed computing paradigm. Under the premise that these nodes do not need mutual trust, the blockchain can implement trusted peer-to-peer communication for protecting the important information by adopting distributed consensus mechanisms, encryption algorithms, point-to-point transmission and smart contracts. In response to the above issues, this paper firstly analyzes the information security problems existing in the energy internet from the four perspectives of system control layer, device access, market transaction and user privacy. Then blockchain technology is introduced, and its working principles and technical characteristics are analyzed. Based on the technical characteristics, we propose the multilevel and multichain information transmission model for the weak centralization of scheduling and the decentralization of transaction. Furthermore, we discuss that the information transmission model helps solve some of the information security issues from the four perspectives of system control, device access, market transaction and user privacy. Application examples are used to illustrate the technical features that benefited from the blockchain for the information security of the energy internet.

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Section: Information Security Requirements Of the System Operation Layermentioning

confidence: 99%

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Zeng

Cao

et al. 2020

Energies

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“…The proposed algorithm is compared with the ATC‐based RO algorithm and the ADMM‐based RO algorithm, which dispersedly solve the robust MA‐ED model based on the ATC algorithm reported in [42] and the ADMM algorithm reported in [22], respectively. Because the ATC‐based algorithm and the ADMM‐based algorithm cannot converge when using the parameters given in [22, 42], we repeatedly turn their parameters in the actual power system to make the algorithms give satisfactory convergence performance. After a number of attempts, the parameters for ATC are set to α = β = 100 and μ = 1.035, where α and β are the penalty multipliers, and μ is the step size of multiplier updating.…”

Section: Case Studiesmentioning

confidence: 99%

“…In the existing literature, various decentralised algorithms have been applied to coordinate actions of regional system operators. In [22], an adaptive alternating direction of multipliers method (ADMM) based on the component dual decomposition is proposed to solve the AC OPF. In [23], the analytical target cascading (ATC) technology is employed to solve the distributed security‐constrained UC problem.…”

Section: Introductionmentioning

confidence: 99%

Approximate dynamic programming‐based decentralised robust optimisation approach for multi‐area economic dispatch considering wind power uncertainty

Zhu

Wang

Guo

et al. 2020

IET Renewable Power Generation

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This study presents a fully decentralised robust optimisation (RO) approach for multi-area economic dispatch (MA-ED) in the presence of wind power uncertainty. Unlike traditional algorithms, the authors formulate this MA-ED problem as dynamic programming problem, and decompose the centralised robust MA-ED problem into a series of sub-problems based on approximate dynamic programming algorithm. The value functions are proposed for each area to iteratively estimate the impacts of its dispatches on the dispatches of other areas which make decisions subsequently. The proposed algorithm does not require a central operator but only needs to exchange a small amount of information among neighbouring areas to achieve fully decentralised decision-making. It is practical in cases where the centralised operator cannot be implemented considering the dispatch independence and the detailed data of one area is unavailable considering the privacy. Additionally, the accuracy, adaptability and computational efficiency of the proposed algorithm are illustrated using numerical simulations on two test systems and an actual power system.

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“…The OPF problem with nonconvex feasible sets in [24]- [28] is solved using a decentralized algorithm in which a specific node communicates only with its adjacent nodes with no central or virtual aggregator. The authors in [26] discuss about the computation time and convergence of the algorithm and have not addressed the impacts and uncertainties of DER and energy storage integration, which is resolved in [27]. The algorithm proposed in [28] exchanges voltage and phase angle information with the neighboring microgrids to reach consensus and does not consider the impact of energy storage integration or consensus on active and reactive power flow between the interconnected microgrids.…”

Section: Introductionmentioning

confidence: 99%

Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints

2021

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The optimization problem for scheduling distributed energy resources (DERs) and battery energy storage systems (BESS) integrated with the power grid is important to minimize energy consumption from conventional sources in response to demand. Conventionally this optimization problem is solved in a centralized manner, limiting the size of the problem that can be solved and creating a high communication overhead because all the data is transferred to the central controller. These limitations are addressed by the proposed distributed consensus-based alternating direction method of multiplier (DC-ADMM) optimization algorithm, which decomposes the optimization problem into subproblems with private cost function and constraints. The distribution feeder is partitioned into low coupling subnetworks/regions, which solves the private subproblem locally and exchanges information with the neighboring regions to reach consensus. The relaxation strategy is employed for mixed-integer and coupled constraints introduced in the optimal power flow (OPF) problem by stationary and transportable BESS because DC-ADMM convergence is only guaranteed for strict convex problems. The information exchange and synchronization between subnetworks/regions are vital for distributed optimization. In this work, both of these aspects are addressed by the blockchain. The smart contract deployed on the blockchain network acts as a mediator for secure data exchange and synchronization in distributed computation. The blockchain-based distributed optimization problem's effectiveness is tested for a 0.5-MW laboratory microgrid for one hour ahead and day-ahead for the IEEE 123-bus and EPRI J1 test feeders, and results are compared with a centralized solution. INDEX TERMS Alternating direction method of multiplier, Battery energy storage systems, Blockchain, Distributed optimization, Optimal power flow, Microgrid.

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Adaptive ADMM for Distributed AC Optimal Power Flow

Cited by 95 publications

References 32 publications

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Approximate dynamic programming‐based decentralised robust optimisation approach for multi‐area economic dispatch considering wind power uncertainty

Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints

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