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14 March 2022

Correction: Lee et al. Optimal Operation Scheduling Considering Cycle Aging of Battery Energy Storage Systems on Stochastic Unit Commitments in Microgrids. Energies 2021, 14, 470

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Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 006974, Korea
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Author to whom correspondence should be addressed.
In the original publication [1], References [2,3,4,5] were not cited, and proper credit was not given for the Algorithm steps in Section 3.2.1 (Reference [5]). The correct citation has now been inserted into Section 3, BESS Modeling, Section 3.2.1, Rainflow-Counting Algorithm, Paragraph 1, and should read as follows:
3.2.1. Rainflow-Counting Algorithm
The rainflow-counting algorithm is applied for the stress analysis of materials in order to calculate the cumulative effect through cycle counting [35,36]. Here, this algorithm was adopted to assess the battery’s life cycle in the SUC problem of an MG. Figure 2 depicts the DOD provided by the rainflow-counting algorithm [37]. As an example, an SOC profile with local extremes ω n is shown in Figure 2a. According to the rainflow-counting algorithm, the DOD can be calculated (as shown in Figure 2b) using the following sequence:
  • The procedure starts from ω 0 and involves the calculation of Δ ω 1 = ω 0 ω 1 ,   Δ ω 2 = ω 1 ω 2 , and Δ ω 3 = ω 2 ω 3 ;
  • If Δ ω 2 Δ ω 1 and Δ ω 2 Δ ω 3 , a full cycle of depth Δ ω 2 is confirmed. Thereafter, ω 1   and   ω 2 are removed from the profile, and step (2) is repeated using points ω 0 ,   ω 3 , ω 4 ,   ω 5 …;
  • If a cycle is not confirmed, the confirmation is shifted forward, and step (2) is repeated using points ω 1 ,   ω 2 , ω 3 ,   ω 4 …;
  • The confirmation is repeated until no more full cycles can be confirmed throughout the remaining profile.
Additionally, the citation for References [2,3] have now been inserted into Section 1.2, Literature Review, Paragraph 2. The citation for Reference [4] was inserted into Section 3.2.1, Rainflow-Counting Algorithm, Paragraph 1. An additional citation for Reference [5] was included in Section 3.2.2, LCC, Paragraph 1.
Due to adding new References, the numeration of References with respect to the original publication has been modified. References [2,3,4,5] will appear in the document as References [14,18,36,37] respectively. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated.

References

  1. Lee, Y.-R.; Kim, H.-J.; Kim, M.-K. Optimal operation scheduling considering cycle aging of battery energy storage systems on stochastic unit commitments in microgrids. Energies 2021, 14, 470. [Google Scholar] [CrossRef]
  2. Zhang, Z.; Wang, J.; Wang, X. An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling. Energy Convers. Manag. 2015, 105, 675–684. [Google Scholar]
  3. Dong, X.; Yuying, Z.; Tong, Z. Planning-operation co-optimization model of active distribution network with energy storage considering the lifetime of batteries. IEEE Access 2018, 6, 59822–59832. [Google Scholar] [CrossRef]
  4. Lee, Y.L.; Barkey, M.E.; Kang, H.T. Metal Fatigue Analysis Handbook: Practical Problem-Solving Techniques for Computer-Aided Engineering; Elsevier: Amsterdam, The Netherlands, 2011. [Google Scholar]
  5. Xu, B.; Zhao, J.; Zheng, T.; Litvinov, E.; Kirschen, D.S. Factoring the cycle aging cost of batteries participating in electricity markets. IEEE Trans. Power Syst. 2017, 33, 2248–2259. [Google Scholar]
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