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Credibility Theory-Based Available Transfer Capability Assessment

Department of Economy and Energy Supply & Demand Research, State Grid Energy Research Institute, Beijing 102200, China
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Author to whom correspondence should be addressed.
Academic Editors: Paul Stewart and Chris Bingham
Energies 2015, 8(6), 6059-6078;
Received: 21 January 2015 / Revised: 24 May 2015 / Accepted: 11 June 2015 / Published: 18 June 2015
(This article belongs to the Special Issue Electrical Power and Energy Systems for Transportation Applications)
Since the development of large scale power grid interconnections and power markets, research on available transfer capability (ATC) has attracted great attention. The challenges for accurate assessment of ATC originate from the numerous uncertainties in electricity generation, transmission, distribution and utilization sectors. Power system uncertainties can be mainly described as two types: randomness and fuzziness. However, the traditional transmission reliability margin (TRM) approach only considers randomness. Based on credibility theory, this paper firstly built models of generators, transmission lines and loads according to their features of both randomness and fuzziness. Then a random fuzzy simulation is applied, along with a novel method proposed for ATC assessment, in which both randomness and fuzziness are considered. The bootstrap method and multi-core parallel computing technique are introduced to enhance the processing speed. By implementing simulation for the IEEE-30-bus system and a real-life system located in Northwest China, the viability of the models and the proposed method is verified. View Full-Text
Keywords: available transfer capability; credibility theory; random fuzzy simulation; bootstrap method available transfer capability; credibility theory; random fuzzy simulation; bootstrap method
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MDPI and ACS Style

Zheng, Y.; Yang, J.; Hu, Z.; Zhou, M.; Li, G. Credibility Theory-Based Available Transfer Capability Assessment. Energies 2015, 8, 6059-6078.

AMA Style

Zheng Y, Yang J, Hu Z, Zhou M, Li G. Credibility Theory-Based Available Transfer Capability Assessment. Energies. 2015; 8(6):6059-6078.

Chicago/Turabian Style

Zheng, Yanan, Jin Yang, Zhaoguang Hu, Ming Zhou, and Gengyin Li. 2015. "Credibility Theory-Based Available Transfer Capability Assessment" Energies 8, no. 6: 6059-6078.

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