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Regular Paper | Open Access

Energy Storage in High Variable Renewable Energy Penetration Power Systems: Technologies and Applications

Huan Zhu1, Hu Li2, Guojing Liu2, Yi Ge2, Jing Shi2, Hai Li3, Ning Zhang3( )
State Grid Jiangsu Electric Power Co., Ltd, Nanjing, China
Economic Research Institute of State Grid Jiangsu Electric Power Company, Nanjing, China
State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
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Abstract

Integrating variable renewable energy is one of the most effective ways to achieve a low-carbon energy system. The high penetration of variable renewable energy, such as wind power and photovoltaic, increases the challenge of balancing the power system. Energy storage technology is regarded as one of the key technologies for balancing the intermittency of variable renewable energy to achieve high penetration. This study reviews the energy storage technology that can accommodate the high penetration of variable renewable energy. The basic energy storage technologies that can accommodate time-scale variation are reviewed first. The role of energy storage in the generation, transmission, distribution, and consumption for the high variable renewable energy penetration system is then analyzed. The supporting energy storage policies in the United States, the United Kingdom and China are summarized. Specific suggestions are proposed from the perspectives of technology, business and policy. This paper provides guidelines for planning energy storage to enable a high variable renewable energy penetration power system.

Keywords

renewable energyenergy storageApplication scenariospenetrationsupporting policies

References

[1]
State Grid Energy Research Institute, “Global energy internet development report,” 2016.
[2]

A. Fernández-Guillamón, E. Gómez-Lázaro, E. Muljadi, and Á. Molina-García, “Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time,” Renewable and Sustainable Energy Reviews, vol. 115, p. 109369, 2019.
Crossref Google Scholar
[3]

C. Q. Kang and L. Z. Yao, “Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy,” Automation of Electric Power Systems, vol. 41, no. 9, pp. 1–11, May 2017.
Google Scholar
[4]

Y. B. Zha, T. Zhang, Z. Huang, Y. Zhang, B. L. Liu, and S. J. Huang, “Analysis of energy internet key technologies,” Scientia Sinica Informationis, vol. 44, no. 6, pp. 702–713, 2014.
Crossref Google Scholar
[5]

K. M. Tan, T. S. Babu, V. K. Ramachandaramurthy, P. Kasinathan, S. G. Solanki, and S. K. Raveendran, “Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration,” Journal of Energy Storage, vol. 39, p.102591, 2021.
Crossref Google Scholar
[6]

Y. Yang, S. Bremner, C. Menictas, and M. Kay, “Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review,” Renewable and Sustainable Energy Reviews, vol. 167, p. 112671, 2022.
Crossref Google Scholar
[7]

Z. Zhang, E. Du, F. Teng, N. Zhang, and C. Kang, “Modeling frequency dynamics in unit commitment with a high share of renewable energy,” IEEE Transactions on Power Systems, vol. 35, no. 6, pp. 4383–4395, 2020.
Crossref Google Scholar
[8]

M. D. Leonard, E. E. Michaelides, and D. N. Michaelides, “Energy storage needs for the substitution of fossil fuel power plants with renewables,” Renewable Energy, vol. 145, pp. 951–962, 2020.
Crossref Google Scholar
[9]

J. A. Dowling, K. Z. Rinaldi, T. H. Ruggles, S. J. Davis, M. Yuan, F. Tong, N. S. Lewis, and K. Caldeira, “Role of long-duration energy storage in variable renewable electricity systems,” Joule, vol. 4, no. 9, pp. 1907–1928, 2020.
Crossref Google Scholar
[10]

S. Impram, S. V. Nese, and B. Oral, “Challenges of renewable energy penetration on power system flexibility: A survey” Energy Strategy Reviews, vol. 31, p. 100539, 2020.
Crossref Google Scholar
[11]

S. R. Sinsel, R. L. Riemke, and V. H. Hoffmann, “Challenges and solution technologies for the integration of variable renewable energy sources—a review,” Renewable Energy, vol. 145, pp. 2271–2285, 2020.
Crossref Google Scholar
[12]

C. Breyer, D. Bogdanov, A. Aghahosseini, A. Gulagi, and M. Fasihi, “On the techno-economic benefits of a global energy interconnection,” Economics of Energy & Environmental Policy, vol. 9, no. 1, pp. 83–103, 2020.
Crossref Google Scholar
[13]

Y. Guo, Y. Yang, and C. Wang, “Global energy networks: Geographies of mergers and acquisitions of worldwide oil companies,” Renewable and Sustainable Energy Reviews, vol. 139, p. 110698, 2021.
Crossref Google Scholar
[14]

G. Li, G. Li, and M. Zhou, “Model and application of renewable energy accommodation capacity calculation considering utilization level of interprovincial tie-line,” Protection and Control of Modern Power Systems, vol. 4, no. 1, pp. 1–12, 2019.
Crossref Google Scholar
[15]

M. Numan, D. Feng, F. Abbas, S. Habib, and S. Hao, “Coordinated operation of reconfigurable networks with dynamic line rating for optimal utilization of renewable generation,” International Journal of Electrical Power & Energy Systems, vol. 125, p. 106473, 2021.
Crossref Google Scholar
[16]

V. Telukunta, J. Pradhan, A. Agrawal, M. Singh, and S. G. Srivani, “Protection challenges under bulk penetration of renewable energy resources in power systems: A review,” CSEE journal of power and energy systems, vol. 3, no. 4, pp. 365–379, Dec. 2017.
Crossref Google Scholar
[17]

M. Eissa, “Protection techniques with renewable resources and smart grids—a survey,” Renewable and sustainable energy reviews, vol. 52, pp. 1645–1667, 2015.
Crossref Google Scholar
[18]

M. McPherson and B. Stoll, “Demand response for variable renewable energy integration: A proposed approach and its impacts,” Energy, vol. 197, p. 117205, 2020.
Crossref Google Scholar
[19]

A. Al Hadi, C. A. S. Silva, E. Hossain, and R. Challoo, “Algorithm for demand response to maximize the penetration of renewable energy,” IEEE Access, vol. 8, pp. 55 279–55 288, 2020.
Crossref Google Scholar
[20]

S. Liu, C. Zhou, H. Guo, Q. Shi, et al., “Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage.” Protection and Control of Modern Power Systems, vol. 6, no. 1, pp.55–64, 2021.
Crossref Google Scholar
[21]

S. Ci, H. J. Li, X. Chen, and Q. W. Wang, “The cornerstone of energy internet: Research and practice of distributed energy storage technology,” Scientia Sinica Informationis, vol. 44, no. 6, pp. 762–773, 2014.
Crossref Google Scholar
[22]
Beijing Zhongguancun Energy Storage Industry Technology Alliance, “White paper on energy storage research,” 2015.
[23]

Q. Hou, N. Zhang, E. Du, M. Miao, F. Peng, and C. Kang, “Probabilistic duck curve in high pv penetration power system: Concept, modeling, and empirical analysis in china,” Applied Energy, vol. 242, pp. 205–215, 2019.
Crossref Google Scholar
[24]

I. Calero, C. A. Canizares, K. Bhattacharya, and R. Baldick, “Duckcurve mitigation in power grids with high penetration of pv generation,” IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 314–329, 2021.
Crossref Google Scholar
[25]

X. J. Zhang, H. S. Chen, J. C. Liu, W. Li, and C. Q. Tan, “Research progress in compressed air energy storage system: A review,” Energy Storage Science and Technology, vol. 1, no. 1, pp. 26–40, Sep. 2012.
Google Scholar
[26]

W. Y. Zhang and H. Q. Zhu, “Key technologies and development status of flywheel energy storage system,” Transactions of China Electrotechnical Society, vol. 26, no. 7, pp. 141–146, Jul. 2011.
Google Scholar
[27]

B. Zakeri and S. Syri, “Electrical energy storage systems: A comparative life cycle cost analysis,” Renewable and Sustainable Energy Reviews, vol. 42, pp. 569–596, Feb. 2015.
Crossref Google Scholar
[28]

V. Viswanathan, A. Crawford, D. Stephenson, S. Kim, W. Wang, B. Li, G. Coffey, E. Thomsen, G. Graff, P. Balducci, M. Kintner-Meyer, and V. Sprenkle, “Cost and performance model for redox flow batteries,” Journal of Power Sources, vol. 247, pp. 1040–1051, Feb. 2014.
Crossref Google Scholar
[29]

X. K. Ma, H. M. Zhang, C. X. Sun, Y. Zou, and T. Zhang, “An optimal strategy of electrolyte flow rate for vanadium redox flow battery,” Journal of Power Sources, vol. 203, pp. 153–158, Apr. 2012.
Crossref Google Scholar
[30]

G. Magdy, A. Bakeer and M. Alhasheem, “Superconducting energy storage technology-based synthetic inertia system control to enhance frequency dynamic performance in microgrids with high renewable penetration,” Protection and Control of Modern Power Systems, vol. 6, no. 4, pp. 460–472, 2021.
Crossref Google Scholar
[31]

X. Chen, Q. Xie, X. Bian, and B. Shen, “Energy-saving superconducting magnetic energy storage (smes) based interline dc dynamic voltage restorer,” CSEE Journal of Power and Energy Systems, vol. 8, no. 1, pp. 238–248, Jan. 2021.
Google Scholar
[32]
A. A. Akhil, G. Huff, A. B. Currier, B. C. Kaun, D. M. Rastler, S. B. Chen, A. L. Cotter, D. T. Bradshaw, and W. D. Gauntlett, “DOE/EPRI electricity storage handbook in collaboration with NRECA,” Sandia National Lab, Albuquerque, SAND2015-1002, 2015.
Crossref
[33]
B. Kondratowicz-Kucewicz, “The energy and the magnetic field in HTS superconducting magnetic energy storage model,” in Proceedings of 2017 International Conference on Electromagnetic Devices and Processes in Environment Protection with Seminar Applications of Superconductors, 2017, pp. 1–4.
Crossref
[34]

C. Chaton, A. Creti, and B. Villeneuve, “Some economics of seasonal gas storage,” Energy Policy, vol. 36, no. 11, pp. 4235–4246, Nov. 2008.
Crossref Google Scholar
[35]

J. de Joode and Ö. Özdemir, “Demand for seasonal gas storage in northwest Europe until 2030: Simulation results with a dynamic model,” Energy Policy, vol. 38, no. 10, pp. 5817–5829, Oct. 2010.
Crossref Google Scholar
[36]

X. L. Sheng, “Research on the storage and development of hydrogen energy and the container technology of liquid hydrogen storage,” Technology, Economyand Market, no. 7, pp. 21–22, 2010.
Google Scholar
[37]

S. U. K. Suri and M. Siddique, “Novel and optimized techniques for storage and transportation of hydrogen: Perspectives and challenges,” Journal of Applied and Emerging Sciences, vol. 9, no. 1, pp. 8–15, 2019.
Crossref Google Scholar
[38]

S. Schiebahn, T. Grube, M. Robinius, V. Tietze, B. Kumar, and D. Stolten, “Power to gas: Technological overview, systems analysis and economic assessment for a case study in Germany,” International Journal of Hydrogen Energy, vol. 40, no. 12, pp. 4285–4294, Apr. 2015.
Crossref Google Scholar
[39]

J. Kotowicz, Ł. Bartela, D. Weçel, and K. Dubiel, “Hydrogen generator characteristics for storage of renewably-generated energy,” Energy, vol. 118, pp. 156–171, Jan. 2017.
Crossref Google Scholar
[40]

D. F. Quinn and J. A. MacDonald, “Natural gas storage,” Carbon, vol. 30, no. 7, pp. 1097–1103, Dec. 1992.
Crossref Google Scholar
[41]

Z. J. Yang, C. W. Gao, and M. Zhao, “Review of coupled system between power and natural gas network,” Automation of Electric Power Systems, vol. 42, no. 16, pp. 21–31, 56, Aug. 2018.
Crossref Google Scholar
[42]

M. Haller, S. Ludig, and N. Bauer, “Decarbonization scenarios for the EU and MENA power system: Considering spatial distribution and short term dynamics of renewable generation,” Energy Policy, vol. 47, pp. 282–290, Aug. 2012.
Crossref Google Scholar
[43]

H. Blanco and A. Faaij, “A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage,” Renewable and Sustainable Energy Reviews, vol. 81, pp. 1049–1086, Jan. 2018.
Crossref Google Scholar
[44]

M. Sterner, “ioenergy and Renewable Power Methane in Integrated 100% Renewable Energy Systems. Limiting Global Warming By Transforming Energy Systems,” assel: Kassel University Press, 2009.
[45]

J. D. Hunt, M. A. V. de Freitas, and A. O. P. Junior, “A review of seasonal pumped-storage combined with dams in cascade in Brazil,” Renewable and Sustainable Energy Reviews, vol. 70, pp. 385–398, Apr. 2017.
Crossref Google Scholar
[46]

Y. Yu, H. Sun, J. Xu, et al, “Summary of compressed air energy storage technology,” Equipment Machinery, 2013.
Google Scholar
[47]

L. Ji, H. S. Chen, X. J. Zhang, X. Z. Zhou, J. Chang, and Q. X. Nie, “Research and development status and application prospect of compressed air energy storage technology,” High-Technology & Industrialization, no. 4, pp. 52–58. 2018.
Google Scholar
[48]
China industrial association of power sources, “Energy storage industry research report,” 2018.
[49]
World energy council, “Energy storage monitor latest trends in energy storage 2019,” 2019.
[50]

F. Fan, R. Zhang, Y. Xu, and S. Ren, “Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage,” CSEE Journal of Power and Energy Systems, vol. 8, no. 2, pp. 369–379, Mar. 2021.
Google Scholar
[51]

F. Fan, I. Kockar, H. Xu, and J. Li, “Scheduling framework using dynamic optimal power flow for battery energy storage systems,” CSEE Journal of Power and Energy Systems, vol. 8, no. 1, pp. 271–280, Jan. 2021.
Google Scholar
[52]

J. Liu, W. Yao, J. Y. Wen, X. M. Ai, W. H. Luo, and Y. Huang, “A wind farm virtual inertia compensation strategy based on energy storage system,” Proceedings of the CSEE, vol. 35, no. 7, pp. 1596–1605, Apr. 2015.
Google Scholar
[53]

Y. Shen, D. Ke, W. Qiao, Y. Sun, D. S. Kirschen, and C. Wei, “Transient reconfiguration and coordinated control for power converters to enhance the LVRT of a DFIG wind turbine with an energy storage device,” IEEE Transactions on energy conversion, vol. 30, pp. 1679–1690, 2015.
Crossref Google Scholar
[54]

Ngamroo and T. Karaipoom, “Cooperative control of SFCL and SMES for enhancing fault ride through capability and smoothing power fluctuation of DFIG wind farm,” IEEE Transactions on Applied Superconductivity, vol. 24, pp. 1–4, 2014.
Crossref Google Scholar
[55]

W. Guo, G. Zhang, J. Zhang, N. Song, Z. Gao, X. Xu, L. Jing, Y. Teng, Z. Zhu, and L. Xiao, “Development of a 1-MVA/1-MJ superconducting fault current limiter–magnetic energy storage system for LVRT capability enhancement and wind power smoothing, “IEEE Transactions on Applied Superconductivity, vol. 28, pp. 1–5, 2018.
Crossref Google Scholar
[56]

B. Liu, J. R. Lund, S. Liao, X. Jin, L. Liu, and C. Cheng, “Optimal power peak shaving using hydropower to complement wind and solar power uncertainty,” Energy Conversion and Management, vol. 209, p.112628, 2020.
Crossref Google Scholar
[57]

M. Du, Y. Niu, B. Hu, G. Zhou, H. Luo, and X. Qi, “Frequency regulation analysis of modern power systems using start-stop peak shaving and deep peak shaving under different wind power penetrations,” International Journal of Electrical Power & Energy Systems, vol. 125, p. 106501, 2021
Crossref Google Scholar
[58]

G. Magdy, G. Shabib, A. A. Elbaset, and Y. Mitani, “Renewable power systems dynamic security using a new coordination of frequency control strategy based on virtual synchronous generator and digital frequency protection,” International Journal of Electrical Power & Energy Systems, vol. 109, pp. 351–368, 2019.
Crossref Google Scholar
[59]

L. Liu, Z. Hu, X. Duan, and N. Pathak, “Data-driven distributionally robust optimization for real-time economic dispatch considering secondary frequency regulation cost,” IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4172–4184, 2021.
Crossref Google Scholar
[60]

S. Koohi-Kamali, V. V. Tyagi, N. A. Rahim, N. L. Panwar, and H. Mokhlis, “Emergence of energy storage technologies as the solution for reliable operation of smart power systems: A review,” Renewable and Sustainable Energy Reviews, vol. 25, pp. 135–165, 2013.
Crossref Google Scholar
[61]

J. Rocabert, R. Capo-Misut, R. S. Munoz-Aguilar, J. I. Candela, and P. Rodriguez, “Control of energy storage system integrating electrochemical batteries and supercapacitors for grid-connected applications,” IEEE Transactions on Industry Applications, vol. 55, pp. 1853–1862, 2018.
Crossref Google Scholar
[62]

N. Verma, N. Kumar and R. Kumar, “Battery energy storage-based system damping controller for alleviating sub-synchronous oscillations in a DFIG-based wind power plant,” Protection and Control of Modern Power Systems, vol. 8, no. 2, pp. 524–541, 2023.
Crossref Google Scholar
[63]

Y. Mi, B. Chen, P. Cai, X. He, R. Liu and X. Yang, “Frequency control of a wind-diesel system based on hybrid energy storage,” Protection and Control of Modern Power Systems, vol. 7, no. 3, pp. 446–458, 2022.
Crossref Google Scholar
[64]

V. Knap, S. K. Chaudhary, D. Stroe, M. Swierczynski, B. Craciun, and R. Teodorescu, “Sizing of an energy storage system for grid inertial response and primary frequency reserve,” IEEE Transactions on Power Systems, vol. 31, pp. 3447–3456, 2015.
Crossref Google Scholar
[65]

K. H. Chua, Y. S. Lim, P. Taylor, S. Morris, and J. Wong, “Energy storage system for mitigating voltage unbalance on low-voltage networks with photovoltaic systems,” IEEE Transactions on power delivery, vol. 27, pp. 1783–1790, 2012.
Crossref Google Scholar
[66]

A. Rufer, D. Hotellier and P. Barrade, “A supercapacitor-based energy storage substation for voltage compensation in weak transportation networks,” IEEE Transactions on power delivery, vol. 19, pp. 629–636, 2004.
Crossref Google Scholar
[67]

S. Inoue and H. Akagi, “A bidirectional DC–DC converter for an energy storage system with galvanic isolation,” IEEE transactions on power electronics, vol. 22, pp. 2299–2306, 2007.
Crossref Google Scholar
[68]

P. Stenzel, T. Kannengießer, L. Kotzur, P. Markewitz, M. Robinius, and D. Stolten, “Emergency power supply from photovoltaic battery systems in private households in case of a blackout–A scenario analysis,” Energy Procedia, vol. 155, pp. 165–178, 2018.
Crossref Google Scholar
[69]

P. Harsh and D. Das, “Energy management in microgrid using incentivebased demand response and reconfigured network considering uncertainties in renewable energy sources,” Sustainable Energy Technologies and Assessments, vol. 46, p. 101225, 2021.
Crossref Google Scholar
[70]

Z. Ying, et al., “Demand side incentive under renewable portfolio standards: A system dynamics analysis,” Energy Policy, vol. 144, p. 111652, 2020.
Crossref Google Scholar
[71]
Tesla. (2020, Jan. 29). “Tesla energy generation and storage business: Q4 2019 results[Online] Available: https://insideevs.com/news/395746/tesla-energy-business-q4-2019-results/.
[72]

C. Q. Kang and L. Z. Yao, “Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy,” Automation of Electric Power Systems, vol. 41, no. 9, pp. 1–11, May 2017.
Google Scholar
[73]

A. Castillo and D. F. Gayme, “Grid-scale energy storage applications in renewable energy integration: A survey,” Energy Conversion and Management, vol. 87, pp. 885–894, Nov. 2014.
Crossref Google Scholar
[74]
D. Bhatnagar, A. Currier, J. Hernandez, O. Ma, and B. Kirby, “Market and policy barriers to energy storage deployment,” Sandia National Laboratories, Albuquerque, SAND2013-7606, 2013.
Crossref
[75]

K. K. Zame, C. A. Brehm, A. T. Nitica, C. L. Richard, and G. D. Schweitzer Ⅲ, “Smart grid and energy storage: Policy recommendations,” Renewable and Sustainable Energy Reviews, vol. 82, pp. 1646–1654, Feb. 2018.
Crossref Google Scholar
[76]
California Public Utilities Commission, “Energy storage,” 2020. https://www.cpuc.ca.gov/energystorage/
[77]
California Public Utilities Commission, “Decision adopting energy storage procurement framework and design program,” 2013.
[78]
Oregon legislature, “House Bill 2193-B: Energy Storage Procurement Target,” 2015.
[79]
Commonwealth of Massachusetts, “Bill H.4568: An Act to promote energy diversity,” 2015.
[80]
United States of America Federal Energy Regulatory Commission, “Preventing undue discrimination and preference in transmission service,” 2007.
[81]
United States of America Federal Energy Regulatory Commission, “Frequency regulation compensation in the organized wholesale power markets,” 2011.
[82]
United States of America Federal Energy Regulatory Commission, “Electric Storage participation in markets operated by regional transmission organizations and independent system operators,” 2018.
[83]
U.S. Department of Energy, “Duration Addition to electricity Storage,” 2018. https://arpa-e.energy.gov/technologies/programs/days
[84]
British National Grid, “Bulk power energy storage procurement of scheduling and dispatch rights,” 2019.
[85]
British Department of Energy & Climate Change, “Electricity market reform: Capacity Market 2014,” 2014.
[86]
British National Grid, “Enhanced Frequency Response,” 2016.
[87]
Office of Gas and Electricity Market, “Upgrading our energy system: smart systems and flexibility plan,” 2017.
[88]

Y. Fu, “Untie energy storage,” China Energy News, vol. 3, 2015.
Google Scholar
[89]

Z. B. Li, S. Yin, Z. Y. Xing, and X. F. Luo, “Coordinated development policy of energy storage industry in china based on evolutionary game theory,” Industrial Engineering and Management, vol. 24, no. 1, pp. 171–179, 2019.
Google Scholar
[90]

R. Renaldi and D. Friedrich, “Multiple time grids in operational optimisation of energy systems with short-and long-term thermal energy storage,” Energy, vol. 133, pp. 784–795, Aug. 2017.
Crossref Google Scholar
[91]
S. M. Schoenung and W. V. Hassenzahl, “Long-vs. short-term energy storage technologies analysis: A life-cycle cost study: A study for the DOE energy storage systems program,” Sandia National Laboratories, USA, SAND2003-2783, 2003.
Crossref
[92]

J. K. Liu, N. Zhang, C. Q. Kang, D. Kirschen, and Q. Xia, “Cloud energy storage for residential and small commercial consumers: A business case study,” Applied Energy, vol. 188, pp. 226–236, Feb. 2017.
Crossref Google Scholar
[93]

J. K. Liu, N. Zhang, C. Q. Kang, D. S. Kirschen, and Q Xia, “Decision-making models for the participants in cloud energy storage,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5512–5521, Nov. 2018.
Crossref Google Scholar
CSEE Journal of Power and Energy Systems
Volume 9 Issue 6,
November 2023
Pages 2099-2108
DOI: 10.17775/CSEEJPES.2020.00090
Cite this article:
Zhu H, Li H, Liu G, et al. Energy Storage in High Variable Renewable Energy Penetration Power Systems: Technologies and Applications. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2099-2108. https://doi.org/10.17775/CSEEJPES.2020.00090

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Received: 17 January 2020
Revised: 03 March 2020
Accepted: 12 May 2020
Published: 06 July 2020
© 2020 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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