A Literature Review on Methodologies of Fault Location in the Distribution System with Distributed Generation

Kumar, Ranjeet; Saxena, D.

doi:10.1002/ente.201901093

Cited by 8 publications

(5 citation statements)

References 57 publications

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“…Generally, there are two methods of reliability calculation, namely analytical method and simulation method (Ahn et al, 2019;Kumar and Saxena, 2020;Teh et al, 2018;Xue et al, 2019). The analytical method is suitable for systems with a clear physical structure.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability and cost analysis of the integrated emergency power system in building complex

Zhang¹,

Yang²,

Li³

et al. 2021

Energy Exploration & Exploitation

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Emergency power system refers to a system that is composed of self-generating equipment in the building. By providing power support for emergency events such as power outages, it can keep the energy safety assurance. Usually, emergency power systems are independent and redundant. As a backup, their utilization rates are extremely low, resulting in excessive redundancy causing a lot of waste of resources and equipment. In this paper, a model integrating stand-alone emergency power systems with micro-network was proposed to improve power supply reliability in a more economic manner. Integrated emergency power system with the dispatch strategy of self-priority was established based on reliability and power demand of buildings simulated through Monte Carlo method. To evaluate the impact of integration, the total cost of integrated emergency power system was calculated including economic loss during power outages and system costs. Finally, genetic algorithm was used to obtain the optimal capacity and dispatch strategy of the integrated emergency power system by minimizing the total cost. Results showed that the reliability was improved, and the total cost was reduced to 80.05% by integrated emergency power system in the illustrated case.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability and cost analysis of the integrated emergency power system in building complex

Zhang¹,

Yang²,

Li³

et al. 2021

Energy Exploration & Exploitation

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“…The large-scale development of distributed generation reduces the dependence on traditional centralized power supply, and thus improves the reliability of power supply. It also improves the energy security and increases the resilience and disaster resistance of the energy system [7][8]. Therefore, the planning and operation of large-scale distributed generation has become an urgent problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

Optimal Planning of User-side Scaled Distributed Generation Based on Stackelberg Game

Zhang,

Cao,

Sun

et al. 2024

EAI Endorsed Trans Energy Web

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BACKGROUND: User-side distributed generation represented by distributed photovoltaic and distributed wind turbine has shown an expansion trend of decentralized construction and disordered access, which is difficult to satisfy the demand for large-scale exploitation and sustainable development of distributed generation under the low-carbon transformation vision of the power system. OBJECTIVES: To address the interest conflict and operation security problems caused by scaled distributed generation accessing the distribution network, this paper proposes the optimal planning method of user-side scaled distributed generation based on the Stackelberg game. METHODS: Firstly, a cluster planning and operation mode of distributed generation is established. Then, a prediction method for planning behavior of user-side distributed generation is proposed in order to predict whether users will adopt the self-build mode or the leasing site mode for distributed generation. Finally, in order to reveal the game relationship between the distribution network operator and the users in the allocation of distributed generation resources, a bi-level planning model for scaled distributed generation is established based on the Stackelberg game. RESULTS: The simulation results show that the revenue of the distribution network operator under the gaming model increases by 10.15% and 16.88% compared to the models of all users self-build distributed generation and all users leasing distributed generation site, respectively, while at the same time, individual users also realize different degrees of revenue increase. CONCLUSION: The case analysis validates the effectiveness of the proposed method in guiding the rational and efficient planning of user-side distributed generation.

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“…With the continuous development of the system scale and the increasing complexity of system environment, traditional fault location methods, such as impedance-based method, are often incompetent [1,2]. Because system loading may create serious errors in the measured impedance and these schemes suffer from multiple fault positions in a multilateral grid [3], nowadays, advanced metering system with intelligent electronic devices (IEDs) has been developing quickly, and it integrates the functions of measuring, data transmission and analysis, which makes the fault location strategy based on wide-area measurements popular [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A subsystem‐based fault location method in distribution grids by sparse measurement

Lv,

Yuan,

Cheng

et al. 2023

IET Generation Trans & Dist

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With the development of smart meters and other intelligent electronic devices, more and more data‐driven fault location methods based on wide area measurement are emerging. However, these diagnostic methods for dealing with the whole tested system often appear complex. This paper presents an innovative subsystems‐based fault location strategy in distribution grid by the sparsity promoted Bayesian learning algorithm. To avoid taking measurement for the whole distribution system, the fault‐included subsystem is selected according to the distribution characteristics of negative sequence voltage. Then the data for fault location is measured by allocating meters in subsystem, which can reduce the number of required meters. For accurately estimating the fault location, a sparse prior is proposed for the Bayesian learning, which could improve the accuracy of the fault location algorithm by about 4%. The performance is tested on a 12.66‐kV, 69‐bus distribution system in response to various fault scenarios. The results show that the accuracy of the proposed method for the fault section location can reach 90%. It also verifies the robustness and accuracy for fault line location, faced different fault types, fault resistance, noise, etc.

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A Literature Review on Methodologies of Fault Location in the Distribution System with Distributed Generation

Cited by 8 publications

References 57 publications

Reliability and cost analysis of the integrated emergency power system in building complex

Reliability and cost analysis of the integrated emergency power system in building complex

Optimal Planning of User-side Scaled Distributed Generation Based on Stackelberg Game

A subsystem‐based fault location method in distribution grids by sparse measurement

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