Electric Power Distribution System Model Simplification Using Segment Substitution

Reiman, Andrew P.; McDermott, Thomas E.; Akçakaya, Murat; Reed, Gregory F.

doi:10.1109/tpwrs.2017.2753100

Cited by 20 publications

(14 citation statements)

References 28 publications

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“…Results show that to get the reduced model for this small scale network the method [14] is preferable to the presented one; this is due to the time required to account for the network topology, which is relevant compared to the one of [14] in which only a small matrix needs to be inverted in (12).…”

Section: A Small-size Gridmentioning

confidence: 99%

“…The general model of a LA network expressed in (14) is not specialized to exploit specific aspects of the network, such as its topology. In the paper, the approach proposed in [20] is adopted; it is conceived for radially operated distribution networks and avoids the calculation of the inverse in (12), fostering the computational efficiency in the case of large size grids. A two-stage graph navigation technique is adopted to get compact relationships among the quantities pertaining to the describing busses of the LA.…”

Section: Load Area Representation For Radial Network -Componentsmentioning

confidence: 99%

“…Reference [11] proposes a general network reduction method that groups nodes based on congestions only, while the current study also considers voltage issues and is specialized for unbalanced radial distribution systems. In [12], a network segment between two relevant busses is replaced by a two-port non-linear network; many busses have to be kept in the reduced model which is not the case in the current study. In [13], admittance matrix inversion is required for both the original and reduced network, and there is a choice to be made for the reduced impedance matrix as it is not unique; in the present study, there is no matrix inversion and no choice is required.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reduced Modeling of Unbalanced Radial Distribution Grids in Load Area Framework

Casolino

Losi

2020

IEEE Access

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A simplified representation of a distribution network offers relevant advantages in limiting the amount of information processed and reducing the computational burden necessary for its treatment, in particular in planning studies, real-time simulations, monitoring and control. The identification of the relevant information for obtaining a correct reduced modeling of a distribution network results from the Load Area (LA) approach. It is based on the concept of groups of nodes/prosumers whose power injection has a similar impact on the operating conditions of distribution grids; the groups are identified through overload and voltage indexes. The paper presents a method for obtaining the reduced equivalent modeling of unbalanced radial grids in the LA framework, once the LAs have been identified. It is based on the backward-forward graph navigation technique for radial grids and a generalization of the modeling of singlephase and two-phase branches. The application and discussion of the method for five different size test cases highlight the computational issues related to the representation and solution of the reduced networks. The results show the feasibility of the proposed method and highlight the computational gains deriving from its adoption.

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Section: A Small-size Gridmentioning

confidence: 99%

Section: Load Area Representation For Radial Network -Componentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reduced Modeling of Unbalanced Radial Distribution Grids in Load Area Framework

Casolino

Losi

2020

IEEE Access

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“…System reduction is necessarily required to reduce the computational complexity for the success of a controlled islanding strategy. In [7], a segment substitution approach for distribution system model simplification is introduced. A novel methodology is proposed in [8] to identify the π-equivalent model of the external part of the distribution network, which does not require system linearization or priori information about the system under study.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Controlled Islanding Strategy for Large-Scale AC/DC Power Systems

Song

Chu

et al. 2018

Energies

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A controlled islanding strategy should be carefully designed to prevent power systems from overall collapse caused by extremely serious faults, which is of high computational complexity for large-scale AC/DC power systems. An efficient controlled islanding strategy for large-scale AC/DC power systems is proposed in this paper. The original power system is first reduced to decrease the computational complexity. The reduced power system is then partitioned into a number of dispatch areas by using the breadth-first search algorithm. Next, the reduced power system is recovered to obtain the detailed information of the dispatch areas. The spectral clustering algorithm is used to cluster the large number of dispatch areas into a small number of islanding areas. Finally, the controlled islanding strategy is verified by assessing the steady and dynamic performance of the power system. The feasibility, efficacy, and adaptability of the controlled islanding strategy are demonstrated by the case study of a large-scale multi-infeed AC/DC power system in China.

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“…Dynamic and mathematical models of the components in CAES, including compressors, air storage tanks, and expander, etc., have been developed and built in Matlab/Simulink [8,13]. There are a number of well-developed electrical power system analysis software such as DIgSILENT PowerFactory and OpenDSS [11,14], which however are not suitable for the application with the CAES models. Therefore, it is necessary to exploit the development of dynamic power system models, which can significantly facilitate the study of the performance of ES when integration with the power grid.…”

Section: Introductionmentioning

confidence: 99%