2018
DOI: 10.1016/j.apenergy.2018.01.096
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Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

Abstract: • A new control method of the hybrid energy storage system is introduced.• The battery lifetime has been proved to be extended in the real-time experiment.• A new experiment method is proposed using the RTDS&HIL to give real-time verification.• A battery lifetime prediction method is introduced.• The RTDS&HIL scheme highlights a flexible real-time experimental approach. This study proposes a hybrid energy storage system (HESS) composed of the superconducting energy storage system (SMES) and the battery. The sy… Show more

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Cited by 57 publications
(33 citation statements)
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“…As can be concluded from Figure 7, most research are done considering the combination of noncoordinated energy management and cost optimization or power quality. The combination of customer-driven objectives with coordinated energy 84 Representing a simulation platform based on IEC61850 for microgrids 85 Validating proposed strategy for power management of multi DER microgrids with NI-cRIO 55 Validating proposed decentralized robust control of islanded microgrids 56 Testing control algorithms and management strategies for microgrid 88 Validating proposed protection method for microgrid with RTDS and dSPACE processor board 89 Validating control scheme of a hybrid energy storage system in the microgrid 90 Development of an RT hardware test bed in order to analyze the transient stability of a simulated power system by using PMU 91 Laboratory prototype…”
Section: Discussionmentioning
confidence: 99%
“…As can be concluded from Figure 7, most research are done considering the combination of noncoordinated energy management and cost optimization or power quality. The combination of customer-driven objectives with coordinated energy 84 Representing a simulation platform based on IEC61850 for microgrids 85 Validating proposed strategy for power management of multi DER microgrids with NI-cRIO 55 Validating proposed decentralized robust control of islanded microgrids 56 Testing control algorithms and management strategies for microgrid 88 Validating proposed protection method for microgrid with RTDS and dSPACE processor board 89 Validating control scheme of a hybrid energy storage system in the microgrid 90 Development of an RT hardware test bed in order to analyze the transient stability of a simulated power system by using PMU 91 Laboratory prototype…”
Section: Discussionmentioning
confidence: 99%
“…Some scholars use the HOMER software to do the simulations and perform the techno-economic evaluation, in terms of system net present cost (NPC) and cost of energy (COE) [28,41,47,48]. Furthermore, some scholars have using a genetic algorithm, fuzzy comprehensive evaluation method, and improved bat algorithm [49][50][51][52] to evaluate the economics. For example, Cortés et al used genetic algorithms to determine the distribution of energy storage involved in wind power auxiliary services, and optimized the total energy efficiency model of energy storage battery systems [51].…”
Section: Development and Literature Reviewmentioning
confidence: 99%
“…For example, Cortés et al used genetic algorithms to determine the distribution of energy storage involved in wind power auxiliary services, and optimized the total energy efficiency model of energy storage battery systems [51]. From the perspective of the entire life cycle, [14,39] Li et al and May et al constructed a cost-and-return-on-investment model, and an economic and sensitivity analysis is conducted to provide users with recommendations for building BESS [49,50].…”
Section: Development and Literature Reviewmentioning
confidence: 99%
“…Thus, batteries are generally used to exploit the long term storage capability and super-capacitors www.ijacsa.thesai.org are combined during certain time laps where important loads are detected. The Batteries/Super-capacitors coupling can be configured in different ways [34,35]. The architecture of coupling in the present work is represented in Fig.…”
Section: Hybrid Power Storage Approachmentioning
confidence: 99%