A novel measure to characterize bus type assignments of realistic power grids

Wang, Zhifang; Elyas, Seyyed Hamid; Thomas, Robert J.

doi:10.1109/ptc.2015.7232436

Cited by 12 publications

(12 citation statements)

References 10 publications

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“…While the aforementioned research line [16,30,35,[46][47][48][49][50][51][52][53] proposes successful strategies to evolve the already deployed conventional grids into smart grids, the research line [39][40][41] has a different approach that consists of generating synthetic structures for smart grids. In these papers, the so-called "RT-nested-small world" model, based on analyses of real grid topologies and their electrical properties, has been proposed to create a large number of synthetic power grid test structures, with scalable size and the similar small-world topology and electrical features found in some real power grids [40].…”

Section: The Smart Grid As a Complex Network: Related Workmentioning

confidence: 99%

“…On the one hand, we state an optimization problem with some of the design constraints proposed in [30] (and with additional ones that we propose in this paper). On the other hand, our method generates synthetic structures, similar to the approach [39][40][41], but with the difference that we find the optimum synthetic structure by using an evolutionary algorithm.…”

Section: The Smart Grid As a Complex Network: Related Workmentioning

confidence: 99%

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Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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Abstract:In this work, we describe an approach that allows for optimizing the structure of a smart grid (SG) with renewable energy (RE) generation against abnormal conditions (imbalances between generation and consumption, overloads or failures arising from the inherent SG complexity) by combining the complex network (CN) and evolutionary algorithm (EA) concepts. We propose a novel objective function (to be minimized) that combines cost elements, related to the number of electric cables, and several metrics that quantify properties that are beneficial for SGs (energy exchange at the local scale and high robustness and resilience). The optimized SG structure is obtained by applying an EA in which the chromosome that encodes each potential network (or individual) is the upper triangular matrix of its adjacency matrix. This allows for fully tailoring the crossover and mutation operators. We also propose a domain-specific initial population that includes both small-world and random networks, helping the EA converge quickly. The experimental work points out that the proposed method works well and generates the optimum, synthetic, small-world structure that leads to beneficial properties such as improving both the local energy exchange and the robustness. The optimum structure fulfills a balance between moderate cost and robustness against abnormal conditions. Our approach should be considered as an analysis, planning and decision-making tool to gain insight into smart grid structures so that the low level detailed design is carried out by using electrical engineering techniques.

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Section: The Smart Grid As a Complex Network: Related Workmentioning

confidence: 99%

Section: The Smart Grid As a Complex Network: Related Workmentioning

confidence: 99%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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“…In order to study the scaling property of (G/L/C) bus locations in a grid versue network size, we exploit a scalar measure called the Bus Type Entropy firsted introduced in [14]. The measure is defined with three variations and utilized to characterize the correlation of realistic bus type assignments.…”

Section: The Scaling Property Of Bus Type Assignmentmentioning

confidence: 99%

“…The measure is defined with three variations and utilized to characterize the correlation of realistic bus type assignments. In this paper the entropy measures in [14] have been reexamined and revised so that an approximate scaling function of the correlated bus type assignment in realistic grids versus the network size can be appropriately derived, based on the IEEE test cases and some realistic grid data, such as the NYISO, the ERCOT, the WECC and the PEGASE systems.…”

Section: The Scaling Property Of Bus Type Assignmentmentioning

confidence: 99%

“…A numerical measure called "Bus Type Entropy" in [14] is re-examined and revised in this paper to characterize the correlated assignment of generation, load, and connection buses in a power grid, based on the IEEE test cases and some newly obtained realistic grid data such as the ERCOT, WECC, and PEGASE systems. The revised the entropy definition has better statistical property and improved numerical stability.…”

Section: Introductionmentioning

confidence: 99%

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On the Scaling Property of Power Grids

Wang

Elyas

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Abstract-Compared with other natural or man-made networks, electric power grid assumes distinct "electric" topology with special small-world properties and electrical parameter settings. In this paper we study the scaling property of power grid in terms of both topology measures and electric parameters, with a number of realistic power grid test cases of different size. The examined measures and parameters include average node degree, average path length, algebraic connectivity, the bus type entropy that characterize relative locations of generation and load buses, generation capacity, total demand, and transmission capacity. Interpreting and testing the scaling property of power grid will help us better understand the intrinsic characteristics of electric energy delivery network of this critical infrastructure; and enable the development of an appropriate synthetic modeling that could be utilized to generate power grid test cases with accurate grid topology and electric parameters.

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AutoSynGrid: A MATLAB-based toolkit for automatic generation of synthetic power grids

Sadeghian

Wang

2020

International Journal of Electrical Power & Energy Systems

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A novel measure to characterize bus type assignments of realistic power grids

Cited by 12 publications

References 10 publications

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

On the Scaling Property of Power Grids

AutoSynGrid: A MATLAB-based toolkit for automatic generation of synthetic power grids

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