Optimal configuration of a power grid system with a dynamic performance sharing mechanism

Yan, Xing; Hui, Qiu Jing; Peng, Rui; Wu, Shaomin

doi:10.1016/j.ress.2019.106613

Cited by 33 publications

(7 citation statements)

References 40 publications

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“…The system performance is represented by A ( t ). 33 A ( t ) is the ratio of the demand of all nodes in the WPGS at this stage to the demand of all nodes in the initial stage of the WPGS. A ( t ) changes with the actual demand of the nodes in the WPGS, and A ( t )∈[0,1].…”

Section: Performance and Resilience Analysis Of The Wpgsmentioning

confidence: 99%

Importance measure-based resilience analysis of a wind power generation system

Dui

Xiang

Guo

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Different from other forms of power generation, wind power generation has the characteristics of randomness, intermittentness, and volatility. Therefore, the wind power generation system (WPGS) is more prone to failures caused by external impacts during the operation. The reliability of the WPGS has a significant influence on the safety of large-scale power grid systems. Thus, how to accurately evaluate the reliability of the WPGS that is integrated into large-scale power grid systems has become a new challenge. Implementing effective resilience management in WPGSs can improve their ability to handle interruptions and increase the safety of the grid-connected system. This research proposes a new method of resilience management based on importance measure for the WPGS after multi-node failures due to natural disasters or man-made accidents. Firstly, both the performance of the WPGS before multi-node failures and the performance of the WPGS after multiple nodes failures are analyzed. Then, the performance loss and the performance recovery of the WPGS are evaluated. Finally, a new method for judging the loss importance measure of node, the recovery importance measure of node, and the resilience importance measure are proposed. The objective of this research is to analyze the restoration sequence of failed nodes in the WPGS with multi-node failures such that the system recover can be faster and more effective. The proposed method is proven to be effective by introducing the WPGS into the IEEE five-machine 14-node system.

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Section: Performance and Resilience Analysis Of The Wpgsmentioning

confidence: 99%

Importance measure-based resilience analysis of a wind power generation system

Dui

Xiang

Guo

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…Afterwards, Multi-level performance sharing modeling are applied in multi-state system in [31] to study the reliability evaluation and component allocation optimization Moreover, the reliability and optimal structure allocation problem of a power grid system with a dynamic performance sharing mechanism is also investigated in some recent papers [18,33].…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of discrete-time multi-state star configuration power grid systems with performance sharing

Su,

Zhang,

Shi

2024

Preprint

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This paper studies an assessment method for dynamic reliability of a discrete time multi-state star configuration power grid system with performance sharing. The proposed star configuration power grid system consists of n power generation subsystems fixed in star-terminal and one central collection and redistribution subsystem. All-star-terminal power generation subsystems are connected to the central subsystem in a point-to-point manner through their intermediate transmission links. It is assumed that the electric power of each generator and the demand of each star-terminal subsystem are random variables. The star-terminal subsystems with sufficient electric power can first transmit the surplus electric power to the central subsystem, and then the collected electric power in central subsystem is further redistributed to the star-terminal subsystems which are experiencing electric power deficiency through the corresponded transmission links. This paper investigates the dynamic reliability of the proposed power grid system when the demands of all star-terminal subsystems are satisfied after performance sharing. An algorithm based on the universal generating function (UGF) technique is presented to evaluate the dynamic reliability of the proposed power grid system with performance sharing. Finally, a numerical example and a case study are used to illustrate the accuracy of the proposed model and method.

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“…They also proposed a reliability evaluation algorithm and analyzed the optimal element allocation problem based on the genetic algorithm. Yan et al (2020) considered the reliability of the power grid system composed of generators and nodes, where both the performance and demand for each generator and node are random variables.…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration of a power grid system with a dynamic performance sharing mechanism

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 33 publications

References 40 publications

Importance measure-based resilience analysis of a wind power generation system

Importance measure-based resilience analysis of a wind power generation system

Reliability analysis of discrete-time multi-state star configuration power grid systems with performance sharing

Reliability of integrated electricity and gas supply system with performance substitution and sharing mechanisms

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