Research on Optimal Energy Storage Strategy Based on Consistency Algorithm
DOI:
https://doi.org/10.54097/hset.v64i.11243Keywords:
Consistency algorithm, optimization of energy storage strategy, improvement of sag control, DC microgrid.Abstract
With the acceleration of globalization and economic development, the microgrid combining renewable energy generation, storage and load has become the unit controlling the entire system, through the autonomous microgrid cluster to more efficient, reliable and economical use of renewable energy to meet the multiple needs of the power system. This paper proposes a scheme to optimize energy storage strategy by using consistency algorithm. By improving sag control, optimizing energy storage unit design and adjusting SOC balance between the same/different capacities, the efficiency and stability of DC microgrid can be improved. The scheme can achieve SOC balance and voltage regulation, avoid voltage quality degradation, and improve the reliability and practicability of distributed energy storage system. In the simulation experiment, no matter the capacity of Distributed Energy Storage Unit(DESU) is the same or different, the energy storage state can be balanced and the output active power ratio can be maintained, which further verifies the feasibility and advantages of the scheme.
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References
Lu Zong-xiang, Wang Cai-xia, Min Yong, et al. Review of Microgrid research [J]. Automation of Electric Power Systems,2007,31(19):100-107.
SU Ling, ZHANG Jianhua, Wang Li, et al. Research on related problems and technologies of microgrid [J]. Power System Protection and Control,2010(19):243-247.
ZHANG Buyun. Optimal control strategy of distributed energy storage economybased on consistency algorithm [D]. Taiyuan university of technology, 2020. DOI:10.27352 /，dc nki. Gylgu. 2020.001617.
WU Qing.Feng, CHU Xiao-lin, YU Shaojuan, LIU Ligun, Chen Yutong. SOC equalizationstrategyof different capacity energy storage units in low-voltage AC microgrid based on improvedP-E Sag control W]. Journal of Solar Energy 2023,44(04):266-275.D01:10.19912j.0254-0096.tynxb.2021-1244.
MA zhihui, Li xinran Tan Zhuangxi, Huang Jiyuan He Kui, Considering energy storage FW a dead area control method [J]. Journal of electrical engineering technology, 2019 (10): 2102-2115. The DOI: 10.19595 j. carol carroll nki. 1000-6753.The tces 181932.
Wong L. a Ramachandaramuthy WK, Taylor P, et al, Review on the optimalplacamant, sizing and control of an energy storage system in the distribution network[J]. Journal of Energy Storage，2019 21:489-504.
Lasseter R HMicroGrids[C]//2002 EEE Power Engineering Society WinterMeeting.Conference Proceedings (Cat.No.02CH37309) IEEE2002.
Mi Yang, ZHANG Haojie, Qian Yiming, Xing Hai jun, Gong Jinxia, Sun Gaiping. Basedon diffusion algorithm without prolapse distributed energy storage control [J/0L] Journal of Shanghai jiaotong university: 1-18 [2023-05-28]. DOI: 10.16183 / j. carolcarroll nki isitu. 2022. 487.
ZHANG Buyun, WANG Jinning, LIANG Dingkang, HAN Xiaoqing. Optimal ControlStrategy of distributed Energy storage for autonomous Microgrid Groups usingConsistency Algorithm [J]. Power GridTechnology,2020,4405): 1705-1713.D0I: 10.13335/J.1000-3673.pst.2019.1968.
LIAO Dawei, Gao Fei. Simplified distributed two-layer control of DC microgridbased on dynamic diffusion algorithm J/0L. Electric power automation equipment1-12 [2023-05-29]. DOI: 10.16081 / j. pae. 202301018.
QIA0 Lu, WANG Luyang, LI Weijia MA Haining. Dynamic enerey distribution strategy for distributed enerey storage system based on virtual DC motor lJ/0LWodern power: 1-10 [2023-05-29]. DOI: 10.19725 / j.carol carroll nki.1007-2322 2022 0263.
V Nasinian, S loayedi A Dawoudi, et al. Distributed cooperative control of DC micromnid; [J]IEEE Transactions on Power Electronics. 2015.30(4):2288-2303.
WANG Baichuan, Guo Xiaoying. Active collaborative optimization of distribution network based on adaptive diffusion algorithm running strategy research]. Journal. of renewable energy, 2019, 5 (6): 837-844. The DOI: 10. 13941 / j.carol carroll nki21-1469 / tk 2019.06.008.
Xu Y, Zhang W, Hug G, et al Cooperative control of distributed energy storage systems in a microgrid [J]. IEEE Transactions on Smart Grid, 2015,6 (1): 238-248.
BI K, SUN L, AN Q, et alActive SOC balanc ing control strategy for modular multilevel supercapacitor energy storage system [J]. IEEE Transactions on Power Electronics, 2019, 34(5): 4981-4992.
Mi Yang, Jl Hongpeng, He ingtang, CAl Hangyi, Su Xiangjing, Fu Yang. Proceedings of the CSEE2018 38(07): 1980-1989+2213. D01: 10.13334/J.0258-8013PCSE.170948.
Olfat-Saber R, Fax JA, Murray R M. Consensus and cooperation in networked multi-agentsystems. [J]. Proceedings of the IEEE, 2007.95 (1): 215-233.
Olfati Saber Fax JA, Murray R M Consensus and cooperation in networked multi-agentsystems [J]. Proceedings of the lEEE, 2007, 95 (1): 215-233.
Y Xu, W Liu. Novel multiagent based load restoration algorithm for microgrids (JJ. IEEE Trans. Smart Grid, 2011, 3 (2): 152-161.
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