PMU placement method based on decoupled newton power flow and sensitivity analysis

Mueller, Gerhard; Komarnicki, Przemysław; Styczynski, Zbigniew A.; Dzienis, Cezary; Golub, Irina; Blumschein, J.

doi:10.1109/epqu.2007.4424116

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…The measurement configurations are derived from real use cases and factor in the impossibility of equipping every substation because the technical requirements are lacking. The respective placement algorithms are based on linear optimization following [47]. The measurement configuration in scenario 2 is presented in Fig.…”

Section: Description Of the Grid And Scenariomentioning

confidence: 99%

Archives of Electrical Engineering

Richter¹,

Hauer²,

Komarnicki³

2018

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Both the growing number of dispersed generation plants and storage systems and the new roles and functions on the demand side (e.g. demand side management) are making the operation (monitoring and control) of electrical grids more complex, especially in distribution. This paper demonstrates how to integrate phasor measurements so that state estimation in a distribution grid profits optimally from the high accuracy of PMUs. Different measurement configurations consisting of conventional and synchronous measurement units, each with different fault tolerances for the quality of the calculated system state achieved, are analyzed and compared. Weighted least squares (WLS) algorithms for conventional, linear and hybrid state estimation provide the mathematical method used in this paper. A case study of an 18-bus test grid with real measured PMU data from a 110 kV distribution grid demonstrates the improving of the system's state variable's quality by using synchrophasors. The increased requirements, which are the prerequisite for the use of PMUs in the distribution grid, are identified by extensively analyzing the inaccuracy of measurement and subsequently employed to weight the measured quantities.

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Section: Description Of the Grid And Scenariomentioning

confidence: 99%

Archives of Electrical Engineering

Richter¹,

Hauer²,

Komarnicki³

2018

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“…In [3]- [5], optimal PMU placement is achieved by the Integer Linear Programming (ILP) algorithm and sensitivity analysis based on electrical structure. By using the decoupled Newton-Raphson power flow calculation, reference [6] observes the sensitivity of a test system with respect to the increased voltage magnitude and/or angle. The authors in [7] integrate a simulated annealing algorithm with sensitivity analysis to achieve optimal PMU placement.…”

Section: Introductionmentioning

confidence: 99%

Integrating synchrophasor technology with the Oregon State University campus smart grid project

Huo

Song

Wagner

et al. 2014

2014 IEEE Conference on Technologies for Sustainability (SusTech)

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The paper presents the initial study on the integration of synchrophasor infrastructure within the Oregon State University (OSU) Corvallis campus smart grid project. Two popular approaches for transmission level synchrophasor placement are preliminarily applied in a benchmark distribution level network, and subsequently compared in order to evaluate their performance. The first method utilizes a linear optimization approach given the network electrical distances; the second method inspects the sensitivities of bus voltage and angle with respect to power injection by running ac power flow. Moreover, it considers additional constraints and rules such as the size of system and local operating policies/priorities. Finally, a few candidate solutions are identified for the placement of synchrophasors on the OSU-Corvallis campus. This project also builds a geographical campus grid model in PowerWorld to better visualize the experiment outcomes.

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