Dynamic system equivalents: A survey of available techniques

Annakkage, U.D.; Nair, Nirmal-Kumar C.; Gole, Aniruddha M.; Dinavahi, Venkata; Noda, Taku; Hassan, Ghulam Mubashar; Monti, Antonello

doi:10.1109/pes.2009.5275650

Cited by 18 publications

(14 citation statements)

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“…Step 1) Assemble selected data and construct a discrete time prediction model as defined in (5). Several linear solvers can be used for the solution of (5) [20].…”

Section: Prony Methodsmentioning

confidence: 99%

“…Most of the research work on this topic uses standard simulation tools and computational techniques, which can be categorized into two main approaches [5]. In the first category detailed models are used to calculate the MG dynamic responses [6]- [8], while in the second low order models are adopted to minimize the computational effort [9]- [12].…”

Section: Introductionmentioning

confidence: 99%

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Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

Papadopoulos

Crolla³

et al. 2015

IET Generation, Transmission & Distribution

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The dynamic performance of microgrids is of crucial importance, due to the increased complexity introduced by the combined effect of inverter interfaced and rotating distributed generation. This paper presents a methodology for the investigation of the dynamic behavior of microgrids based on measurements using Prony analysis and state-space black-box modeling techniques. Both methods are compared and evaluated using real operating conditions data obtained by a laboratory microgrid system. The recorded responses and the calculated system eigenvalues are used to analyze the system dynamics and interactions among the distributed generation units. The proposed methodology can be applied to any real-world microgrid configuration, taking advantage of the future smart grid technologies and features.

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“…Step 1) Assemble selected data and construct a discrete time prediction model as defined in (5). Several linear solvers can be used for the solution of (5) [20].…”

Section: Prony Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

Papadopoulos

Crolla³

et al. 2015

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…The three main equivalencing approaches reported in the literature are modal methods, coherency methods and measurement or simulation-based methods [3]. Equivalent models, however, inadvertently suffer from a number of drawbacks:…”

Section: Introductionmentioning

confidence: 99%

A parallel processing approach to dynamic simulations of combined transmission and distribution systems

Aristidou

Cutsem

2015

International Journal of Electrical Power & Energy Systems

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Abstract-Simulating a power system with both transmission and distribution networks modeled in detail is a huge computational challenge. In this paper, we propose a Schurcomplement-based domain decomposition algorithm to provide accurate, detailed dynamic simulations of the combined system. The simulation procedure is accelerated with the use of parallel programming techniques, taking advantage of the parallelization opportunities inherent in domain decomposition algorithms. The proposed algorithm is general, portable and scalable on inexpensive, shared-memory, multi-core machines. A large-scale test system is used for its performance evaluation.

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“…Due to the stochastic nature of renewable sources and the effect of the complex control strategies of the DG units, frequent changes in the network topology and the operating conditions of the DG units occur, influencing significantly the dynamic behaviour of the system [3]. Therefore the development of accurate and adaptive dynamic simulation models of MGs is essential, in order to enhance the DG utilization and investigate more efficient ways of operation [4].…”

Section: Introductionmentioning

confidence: 99%