Journal
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
Volume 3, Issue 4, Pages 589-596Publisher
STATE GRID ELECTRIC POWER RESEARCH INST
DOI: 10.1007/s40565-015-0134-y
Keywords
Mobile battery energy storage system (MBESS); Reliability; Markov models; Monte Carlo simulation
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Funding
- National Natural Science Foundation of China [71401017, 51277016]
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources [LAPS14002]
- Fujian regional science and technology major projects, China [2013H41010151]
- Hong Kong RGC Theme Based Research Scheme Grant [T23-407/13-N]
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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.
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