RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM

Lu Jie; Yu Lijun; Zheng Pei; Hou Shengya

doi:10.19912/j.0254-0096.tynxb.2020-0533

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (3) : 53-60. DOI: 10.19912/j.0254-0096.tynxb.2020-0533

RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM

Lu Jie¹, Yu Lijun², Zheng Pei², Hou Shengya²

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Abstract

Aiming at the problems of insufficient tracking accuracy of planned wind farm output, weak energy storage system regulation, large output power fluctuations, this paper proposes an advanced control strategy for the wind-hydrogen coupling system. Based on the state of the hydrogen storage system, the ultra-short-term power forecasting and the day ahead power forecasting, formulate a system adjustment strategy, propose the objective function of maximizing the planned output tracking ability, maximizing the energy storage system adjustment ability, and minimizing the power fluctuation smooth weighting, using algorithm performs point-by-point scroll optimization on the output parameters to achieve the effective improvement of the planned output tracking ability of the wind-hydrogen coupling system. The advanced control strategy proposed can reduce the error between the actual output of the system and the output plan, maintain the effective adjustment capacity of the hydrogen energy storage system, and reduce the average power fluctuation of the system, which has a good application prospect.

Key words

wind power / hydrogen storage / power prediction / cuckoo algorithm / advanced control strategy

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Lu Jie, Yu Lijun, Zheng Pei, Hou Shengya. RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM[J]. Acta Energiae Solaris Sinica. 2022, 43(3): 53-60 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0533

References

[1] PATHAK A, SHARMA M, BUNDELE M.A critical review of voltage and reactive power management of wind farms[J]. Renewable and sustainable energy reviews, 2015, 51: 460-471.
[2] 蔡国伟, 孔令国, 薛宇, 等. 风氢耦合发电技术研究综述[J]. 电力系统自动化, 2014, 38(21): 127-135.
CAI G W, KONG L G, XUE Y,et al.Overview of research on wind power coupled with hydrogen production technology[J]. Automation of electric power systems, 2014, 38(21): 127-135.
[3] 蔡国伟, 陈冲, 孔令国, 等. 风电/制氢/燃料电池/超级电容器混合系统控制策略[J]. 电工技术学报,2017, 32(17): 84-94.
CAI G W, CHEN C, KONG L G, et al.Control of hybrid system of wind/hydrogen/fuel cell/supercapcitor[J]. Transactions of China Electrotechnical Society, 2017, 32(17): 84-94.
[4] 段青熙, 袁铁江, 梅生伟, 等. 风电-氢储能与煤化工多能耦合系统能量协调控制策略[J]. 高电压技术, 2018, 44(1): 176-186.
DUAN Q X, YUAN T J, MEI S W, et al.Energy coordination control of wind power-hydrogen energy storage and coal chemical multi-functional coupling system[J]. High voltage engineering, 2018, 44(1): 176-186.
[5] 马榕谷, 陈洁, 赵军超, 等. 非并网风氢互补系统的容量多目标优化[J]. 太阳能学报, 2019, 40(2): 422-429.
MA R G, CHEN J, ZHAO J C, et al.Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system[J]. Acta energiae solaris sinica, 2019, 40(2): 422-429.
[6] LOISEL R, BARANGER L, CHEMOURI N,et al.Economic evaluation of hybrid off-shore wind power and hydrogen storage system[J]. International journal of hydrogen energy, 2015, 40(21): 6727-6739.
[7] TEBIBEL H.Wind turbine power system for hydrogen production and storage: Techno-economic analysis[C]//International Conference on Wind Energy and Applications in Algeria (ICWEAA 2018), Centre de Développement des Energies Renouvelables, Algiers, Algeria, 2018.
[8] MUYEEN S M, TAMURA J, MURATA T.Stability augmentation of a grid-connected wind farm[M]. London: Springer, 2009.
[9] 朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]. 电网技术, 2019, 43(1): 116-126.
ZHU L, WANG J, TANG L J, et al.Robust stochastic optimal dispatching of integrated energy system considering refined power-to-gas model[J]. Power system technology, 2019, 43(1): 116-126.
[10] 易伟, 徐建源, 吴冠男, 等. 利用风电制氢储能系统提高东北某区域电网弃风消纳能力[J]. 电力电容器与无功补偿, 2018, 39(4): 190-197.
YI W, XU J Y, WU G N, et al.Improvement of wind abandoned consumption capacity in a region of northeast reigion China by wind power hydrogen storage energy system[J]. Power capacitor & reactive power compensation, 2018, 39(4): 190-197.
[11] PU Y, LI Q, CHEN W, et al.Hierarchical energy management control for islanding DC microgrid with electric-hydrogen hybrid storage system[J]. International journal of hydrogen energy, 2019, 44(11): 5153-5161.
[12] LOUKA P, GALANIS G, SIEBERT N, et al.Improvements in wind speed forecasts for wind power prediction purposes using kalman filtering[J]. Journal of wind engineering and industrial aerodynamics, 2008, 96(12): 2348-2362.
[13] CAI H S, JIA X D, FENG J S, et al.A combined filtering strategy for short term and long term wind speed prediction with improved accuracy[J]. Renewable energy, 2019, 136: 1082-1090.
[14] RAJABIOUN R.Cuckoo optimization algorithm[J]. Applied soft computing, 2011, 11(8): 5508-5518.
[15] IKEGAMI T, URABE C, SAITOU T, et al.Numerical definitions of wind power output fluctuations for power system operations[J]. Renewable energy, 2018, 115: 6-15.