DOI:10.1007/s40565-015-0134-y |
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Optimal integration of mobile battery energy storage in distribution system with renewables |
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Page view: 66
Net amount: 2051 |
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Author:
Yu ZHENG1,Zhaoyang DONG2,Shilin HUANG3,Ke MENG2,Fengji LUO1,Jie HUANG4,David HILL5
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Author Affiliation:
1. Center for Intelligent Electricity Networks (CIEN), The University of Newcastle, Newcastle, NSW, Australia
2. School of Electrical & Information Engineering, The University of Sydney, Sydney, NSW, Australia
3. Ningde Amperex Technology Ltd., Ningde, Fujian, China
4. State Grid Electric Power Research Institute, Nanjing, China
5. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;1. Center for Intelligent Electricity Networks (CIEN), The University of Newcastle, Newcastle, NSW, Australia;2. School of Electrical & Information Engineering, The University of Sydney, Sydney, NSW, Australia;3.?Ningde Amperex Technology Ltd., Ningde, Fujian, China;4. State Grid Electric Power Research Institute, Nanjing, China;5.2. School of Electrical & Information Engineering, The University of Sydney, Sydney, NSW, Australia
5. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
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Foundation: |
National Natural Science Foundation of China (Young Scholar Program 71401017, General Program 51277016), State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS14002), Fujian regional science and technology major projects, China (2013H41010151), and Hong Kong RGC Theme Based Research Scheme Grant No. T23-407/13-N. |
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Abstract: |
An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach. |
Keywords: |
Mobile battery energy storage system (MBESS),Reliability,Markov models,Monte Carlo simulation |
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Online Time:2015/12/01 |
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