ADMM Optimization Strategies for Wide-Area Oscillation Monitoring in Power Systems Under Asynchronous Communication Delays

Zhang, Jianhua; Nabavi, Seyedbehzad; Chakrabortty, Aranya; Xin, Yufeng

doi:10.1109/tsg.2016.2547939

Cited by 60 publications

(41 citation statements)

References 19 publications

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“…It is described a DSB model for the NR method, 12 intended for distribution systems, namely, three-phase unbalanced systems. This model is implemented in this paper, for three-phase balanced systems, applying the aforementioned participation factors of (21). For this, the total active power losses of the system become a new unknown variable, denoted as Ploss.…”

Section: Implementation Of Dsb Model For the Nr Methodsmentioning

confidence: 99%

“…In order to model the distribution of active power losses based on participation factors according to (21) and the insertion of P g slack , we propose an adjustment of the embedded equations of PV buses, which depending on the previously discussed models of PV buses, results in…”

Section: Modification Of Embedded Equationsmentioning

confidence: 99%

“…For instance, the feasibility of using any variant of the alternating direction method of multipliers (ADMM) to distribute the computation burden of the proposed DSB model for HELM can be a key research topic. Several applications of distributed computing algorithms in power systems can be found in previous studies …”

Section: Introductionmentioning

confidence: 99%

“…Several applications of distributed computing algorithms in power systems can be found in previous studies. [20][21][22] The rest of this paper is organized as follows: Section 2 describes the HELM and presents its equations. Section 3 introduces the DSB model.…”

mentioning

confidence: 99%

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Distributed slack bus model formulation for the holomorphic embedding load flow method

Ortega

Molina

Muñoz

et al. 2020

Int Trans Electr Energ Syst

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Summary Distributed slack bus (DSB) models for the resolution of power flow problems are a more realistic approach than the classical single slack bus concept. DSB models have been widely implemented in iterative approaches such as in Newton‐Raphson power flow methods. However, iterative algorithms may lead to incorrect solutions or may fail to reach convergence under inappropriate initial estimations. The holomorphic embedding load‐flow method (HELM) deals with the solution of the nonlinear power flow equations by means of complex analysis techniques, resulting in a deterministic and noniterative method, which is independent of initial estimations. As such, this paper proposes, from two different methodologies, a novel formulation and implementation of the DSB model for the HELM, which overcomes in that way the disadvantages of iterative methods and also incorporates the inherent advantages of DSB models. Moreover, this paper performs convergence and speed capability tests of the two proposed methodologies using two real‐size benchmark systems.

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Section: Implementation Of Dsb Model For the Nr Methodsmentioning

confidence: 99%

Section: Modification Of Embedded Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Distributed slack bus model formulation for the holomorphic embedding load flow method

Ortega

Molina

Muñoz

et al. 2020

Int Trans Electr Energ Syst

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show abstract

“…The proposed mechanism can also provide estimated system parameters given measurement redundancy. Other analyses take power stability analysis [24,25,26] and oscillation monitoring [27] into consideration. Another widely investigated integration considers power system cyber-security.…”

Section: Related Workmentioning

confidence: 99%

A unified framework for wide area measurement system planning

Lam

Hill

et al. 2018

International Journal of Electrical Power & Energy Systems

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Wide area measurement system (WAMS) is one of the essential components in the future power system. To make WAMS construction plans, practical models of the power network observability, reliability, and underlying communication infrastructures need to be considered. To address this challenging problem, in this paper we propose a unified framework for WAMS planning to cover most realistic concerns in the construction process. The framework jointly optimizes the system construction cost, measurement reliability, and volume of synchrophasor data traffic resulting in a multi-objective optimization problem, which provides multiple Pareto optimal solutions to suit different requirements by the utilities. The framework is verified on two IEEE test systems. The simulation results demonstrate the trade-off relationships among the proposed objectives. Moreover, the proposed framework can develop optimal WAMS plans for full observability with minimal cost. This work develops a comprehensive framework for most practical WAMS construction designs.

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Adoption of distributed algorithm under alternating direction method of multipliers in energy management of smart grid

Liu

2021

Int Trans Electr Energ Syst

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This study explores the application of alternating direction method of multipliers (ADMM) in dynamic unit load energy distribution of smart grid. Firstly, the dynamic unit load energy distribution is transformed into a convex optimization based on the second-order continuous differentiable convex function. Then, a binary algorithm of distributed algorithm is constructed based on the ADMM, and energy storage devices are added to the grid nodes. Finally, Lagrange relaxation method (S1) and collaborative distributed algorithm (S2) are introduced for simulation. The results show that the original residuals and dual residuals of the proposed algorithm, S1 and S2, converge after 20, 35, and 30 iterations, respectively. The total output power of generator sets and energy storage device of the algorithm in the study is always slightly higher than the total load demand, whereas S1 and S2 are the opposite. The total spinning reserve of generator sets and energy storage device of the proposed algorithm is always slightly higher than the total spinning reserve demand, and the energy storage device provides 50.40% spinning reserve at the peak of nonload. However, the energy storage devices of S1 and S2 algorithms provide 23.77% and 18.58% spinning reserve at the peak of non-load, respectively. In conclusion, the distributed binary algorithm based on ADMM has good convergence. After 20 iterations, the original and dual residuals can converge to near 0, which can rationalize the energy scheduling of smart grid. The energy storage device provides 50.40% of the alternate reserve at the peak of non-load, which realizes the energy reselling and spinning reserve across time periods, and can increase the operation stability of the generator set. K E Y W O R D Salternating direction method of multipliers, dynamic unit load energy distribution, second-order continuous differentiable convex function, smart grids, total output power

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ADMM Optimization Strategies for Wide-Area Oscillation Monitoring in Power Systems Under Asynchronous Communication Delays

Cited by 60 publications

References 19 publications

Distributed slack bus model formulation for the holomorphic embedding load flow method

Distributed slack bus model formulation for the holomorphic embedding load flow method

A unified framework for wide area measurement system planning

Adoption of distributed algorithm under alternating direction method of multipliers in energy management of smart grid

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