Welcome to Francis Academic Press

Academic Journal of Engineering and Technology Science, 2023, 6(1); doi: 10.25236/AJETS.2023.060104.

Comprehensive research on hybrid energy storage strategies of park microgrids with optical storage and DC microgrids


Lu Tianqi, Gao Jing, Li Fang, Yang Guochen, Sun Mingze

Corresponding Author:
Lu Tianqi

State Grid Liaoning Electric Power CO, LTD., Power Electric Research Institute, Shenyang 110015, China


The multi-circuit coupling transmission mode is an inevitable trend of power grid construction, mainly with partially coupled multi-circuit lines. Affected by the local coupling between lines, the existing fault location methods have large errors. To this end, fault analysis and fault location methods are carried out on partially coupled double-circuit transmission lines. According to the structure and characteristics of the partially coupled double-circuit transmission line on the same tower, the voltage and current interface equations at the coupling demarcation point of the partially coupled double-circuit transmission line are established using line decoupling theory. On this basis, a time-domain analysis model of fault location for each coupling section is constructed, and a time-domain method for fault location of partially coupled double-circuit transmission lines is proposed. Finally, the electromagnetic transient simulation software is used to construct a partially coupled double-circuit transmission line model on the same tower, and a comprehensive simulation verification is performed. The results show that the proposed method has high accuracy.


Comprehensive research; hybrid energy; fault location; time domain method; DC microgrids

Cite This Paper

Lu Tianqi, Gao Jing, Li Fang, Yang Guochen, Sun Mingze. Comprehensive research on hybrid energy storage strategies of park microgrids with optical storage and DC microgrids. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 1: 31-35. https://doi.org/10.25236/AJETS.2023.060104.


[1] MA L, ZHANG X. Economic operation evaluation of active distribution network based on fuzzy borda method [J]. IEEE Access, 2020, 8: 29508-29517.

[2] GE L, LI Y, LI S, et al. Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method[J]. Frontiers in Energy, 2021, 15(1): 143-158.

[3] KONG X Y, YONG C S, WANG C S, et al. Multi-objective power supply capacity evaluation method for active distribution network in power market environment[J].International Journal of Electrical Power & Energy Systems,2020: 115: 105467.

[4] Cheng Mingxi. Binomial coefficient weighted sum method for multi-objective decision-making problems [J]. Department System Engineering Theory and Practice, 1983(4): 23-26.

[5] HU C, LIU F, HU C. A hybrid fuzzy DEA/AHP methodology for ranking units in a fuzzy environment [J]. Symmetry-Basel,2017, 9(11): 273.

[6] Li Zhijun, Xiang Jianjun, Sheng Tao, et al. Improvement based on G1-coefficient of variation-KL TOPSIS Radar Jamming Effectiveness Evaluation [J/OL]. Beijing University of Aeronautics and Astronautics Newspaper: 1-11 [2021-12-06]. https://doi.org/10.13700/j.bh.1001-5965. 2020. 0493.

[7] Kong Ming, Han Xiaotong. Study on particle diffusion law based on standard device [J]. China Test, 2019, 45(4): 35-42.

[8] YU Yang, XIE Renjie, LU Jianbin, et al. Modeling and controlling of aggregated thermostatically controlled loads for smoothing power fluctuation of renewable energy sources[J]. Smart Power, 2020, 48(3): 69-75.

[9] Li Hongzhong, Fang Yujiao, Xiao Baohui. Optimization of regional comprehensive energy system considering generalized energy storage research on chemical operation [J]. Power Grid Technology, 2019, 43(9): 3130-3138.

[10] Li Hongzhong, Zhang Yi, Sun Weiqing. Wind power power considering generalized energy storage under wavelet packet decomposition volatility stabilization strategy [J]. Power Grid Technology, 2020, 44(12): 4495-4504.

[11] SONG M, GAO C W, YAN H G, et al. Thermal battery modelling of inverter air conditioning for demand response [J]. IEEE Transactions on Smart Grid, 2018, 9(6): 5522-5534.

[12] Li Hongzhong, Lv Menglin, Hu Liexiang, et al. Joint planning of microgrid considering generalized energy storage [J]. Electric Power Automation Equipment, 2020, 40(7): 149-160.

[13] Wang D X, MENG K, GAOX D, et al. Coordinated dispatch of Virtual energy storage systems in LV grids for voltage regulation [J].IEEE Transactions on Industrial Information, 2018, 14(6):2452-2462.

[14] Yong Jing, Xu Xin, Zeng Liqiang, et al. A review of low voltage DC power distribution system[J]. Proceedings of theCSEE, 2013, 33(7): 42-52(in Chinese).

[15] Xiong Xiong, Wang Hongbo, Yang Rengan, et al. A fuzzyadaptive control strategy for composite energy storage system to cope with output power fluctuation of intermittent energy source in microgrid[J]. Power System Technology, 2015,39(3): 677-681(in Chinese).

[16] Wu T F, Sun K H, Kuo C L, et al. Predictive current controlled 5 kW single-phase bidirectional inverter with wide inductance variation for DC-microgrid applications[J]. IEEE Transactions on Power Electronics, 2010, 25 (12): 3076-3084.

[17] Radwan A A A, Mohamed Y A I. Linear active stabilization of converter-dominated DC microgrids [J]. IEEE Transactions on Smart Grid, 2012, 3(1): 203-216.

[18] Anand S, Fernandes B G, Guerrero J. Distributed control to ensure proportional load sharing and improve voltage regulation in low voltage DC microgrids[J]. IEEE Transactions on Power Electronics, 2013, 28(4): 1900-1913.

[19] Zhang Xue, Pei Wei, Deng Wei, et al. Energy management and coordinated control method for multi-source/multi-load DC microgrid[J]. Proceedings of the CSEE, 2014, 34(31):5553-5562(in Chinese).

[20] Gustavo G, Hamilton C, Kerley R, et al. Control strategy of a multi-port grid connected direct DC PV charging station for plug-in electric vehicles[C]. 2010 IEEE Energy Conversion Congress and Exposition. Atlanta, USA, 2010: 1173-1177.

[21] Bryan J, Duke R, Round S. Decentralized generator scheduling in a nanogrid using DC bus signaling[C]. 2004 IEEE Power Electronic Systems. Denver, USA, 2004(1): 977-982.