Reduced-order synchrophasor-assisted state estimation for smart grids

Kashyap, Neelabh; Werner, Stefan; Riihonen, Taneli; Huang, Yih-Fang

doi:10.1109/smartgridcomm.2012.6486052

Cited by 12 publications

(10 citation statements)

References 21 publications

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“…For instance, although WAMS and WACS will eventually replace SCADA in the future smart grid, the change will not happen unless WAMS, WACS, and SCADA are interoperable with each other during the upgrade process [108][109][110].…”

Section: D) Interoperabilitymentioning

confidence: 99%

“…Last but not least, since building smart grids from the existing power systems is an incremental process, the interoperability of new functionalities/systems with the existing ones must be properly addressed, too. For instance, although WAMS and WACS will eventually replace SCADA in the future smart grid, the change will not happen unless WAMS, WACS, and SCADA are interoperable with each other during the upgrade process [108][109][110].…”

Section: D) Interoperabilitymentioning

confidence: 99%

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A survey on smart grid communication system

Wen

Leung

et al. 2015

SIP

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A survey on smart grid communication systemmiles h.f. wen 1 , ka-cheong leung 1 , victor o.k. li 1 , xingze he 2 and c.-c. jay kuo 2Concerns with global warming prompted many governments to mandate increased proportion of electricity generation from renewable sources. This, together with the desire to have more efficient and secure power generation and distribution, has driven research in the next-generation power grid, namely, the smart grid. Through integrating advanced information and communication technologies with power electronic and electric power technologies, smart grid will be highly reliable, efficient, and environmental-friendly. A key component of smart grid is the communication system. This paper explores the design goals and functions of the smart grid communication system, followed by an in-depth investigation on the communication requirements. Discussions on some of the recent developments related to smart grid communication systems are also introduced.

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Section: D) Interoperabilitymentioning

confidence: 99%

Section: D) Interoperabilitymentioning

confidence: 99%

A survey on smart grid communication system

Wen

Leung

et al. 2015

SIP

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“…Kashyap et al [9] have used model order reduction for the purpose of state estimation of phasor measurement units (PMUs). The authors have proposed an algorithm based on reduced-dimension matrices which operate separately on PMU measurements and on conventional measurements.…”

Section: Introductionmentioning

confidence: 99%

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation

Malik

Borzacchiello

Chinesta

et al. 2016

Adv. Model. and Simul. in Eng. Sci.

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This paper concerns the application of reduced order modeling techniques to power grid simulation. Swing dynamics is a complex non-linear phenomenon due to which model order reduction of these problems is intricate. A multi point linearization based model reduction technique trajectory piece-wise linearization (TPWL) method is adopted to address the problem of approximating the nonlinear term in swing models. The method combines proper orthogonal decomposition with TPWL in order to build a suitable reduced order model that can accurately predict the swing dynamics. The method consists of two stages, an offline stage where model reduction and selection of linearization points is performed and an online stage where the reduced order multi-point linear simulation is performed. An improvement of the strategy for point selection is also proposed. The TPWL method for a swing dynamics model shows that the method provides accurate reduced order models for non-linear transient problems.

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“…A joint state and parameter estimation method in power systems is proposed in [ 24 , 25 ], but it fails to identify any dynamic pattern properly The next breakthrough in dynamic SE comes from [ 26 ], which provides an appropriate state transition model. This model uses a Kalman filter (KF) and an exponential smoothing algorithm for state forecast [ 26 , 27 ]. The KF-based SE is widely used in the literature and provides a recursive update of the state during system operation [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

An Overview of Distributed Microgrid State Estimation and Control for Smart Grids

Rana

2015

Sensors

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Given the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation (SE) and wide-area real-time monitoring of these intermittent energy sources. In contrast to the traditional methods of SE, this paper proposes a novel accuracy dependent Kalman filter (KF) based microgrid SE for the smart grid that uses typical communication systems. Then this article proposes a discrete-time linear quadratic regulation to control the state deviations of the microgrid incorporating multiple DERs. Therefore, integrating these two approaches with application to the smart grid forms a novel contributions in green energy and control research communities. Finally, the simulation results show that the proposed KF based microgrid SE and control algorithm provides an accurate SE and control compared with the existing method.

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Reduced-order synchrophasor-assisted state estimation for smart grids

Cited by 12 publications

References 21 publications

A survey on smart grid communication system

A survey on smart grid communication system

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation

An Overview of Distributed Microgrid State Estimation and Control for Smart Grids

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