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Energies 2018, 11(2), 454; https://doi.org/10.3390/en11020454

Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization

1
School of Electrical Engineering, Shandong University, 17923 Jingshi Road, Jinan, Shandong 250061, China
2
State Grid Jinan Power Supply Company, 238 Luoyuan Street Road, Jinan, Shandong 250012, China
*
Author to whom correspondence should be addressed.
Received: 29 December 2017 / Revised: 5 February 2018 / Accepted: 9 February 2018 / Published: 21 February 2018
(This article belongs to the Section Energy Storage and Application)
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Abstract

The capacity of an energy storage device configuration not only affects the economic operation of a microgrid, but also affects the power supply’s reliability. An isolated microgrid is considered with typical loads, renewable energy resources, and a hybrid energy storage system (HESS) composed of batteries and ultracapacitors in this paper. A quantum-behaved particle swarm optimization (QPSO) algorithm that optimizes the HESS capacity is used. Based on the respective power compensation capabilities of ultracapacitors and batteries, a rational energy scheduling strategy is proposed using the principle of a low-pass filter and can help to avoid frequent batteries charging and discharging. Considering the rated power of each energy storage type, the respective compensation power is corrected. By determining whether the charging state reaches the limit, the value is corrected again. Additionally, a mathematical model that minimizes the daily cost of the HESS is derived. This paper takes an isolated micrgrid in north China as an example to verify the effectiveness of this method. The comparison between QPSO and a traditional particle swarm algorithm shows that QPSO can find the optimal solution faster and the HESS has lower daily cost. Simulation results for an isolated microgrid verified the effectiveness of the HESS optimal capacity configuration method. View Full-Text
Keywords: capacity configuration; hybrid energy storage; energy scheduling; quantum-behaved particle swarm optimization capacity configuration; hybrid energy storage; energy scheduling; quantum-behaved particle swarm optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

  • Externally hosted supplementary file 1
    Doi: 10.1109/DRPT.2015.7432592
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Wang, H.; Wang, T.; Xie, X.; Ling, Z.; Gao, G.; Dong, X. Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization. Energies 2018, 11, 454.

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