电—热联合微网中基于波动参数的多类型储能协同控制
CSTR:
作者:
作者单位:

(1.浙江大学浙江省电机系统智能控制与变流技术重点实验室,浙江 杭州 310027;2.国网青海省电力公司电力科学研究院,青海 西宁 810008)

通讯作者:

张震霄(1998—),男,硕士研究生,主要从事新能源并网技术控制研究;E?mail:2990819136@qq.com

中图分类号:

TM743

基金项目:

国网青海省电力公司科技项目(106000003069);浙江省教育厅科研项目(Y202045591)


Multi‑type energy storage collaborative control based on wave parameters in microgrids with combined heat and power system
Author:
Affiliation:

(1.Zhejiang Provincial Key Laboratory of Electrical Machine Systems, Zhejiang University, Hangzhou 310027, China; 2.Electric Power Science Research Institute,State Grid Qinghai Electric Power Company, Xining 810008, China)

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    摘要:

    针对光伏发电的功率波动和消纳问题,结合中国西北地区供电供热需求,以光伏、热泵和混合储能组成的电—热联合微网为研究对象,研究了基于波动参数的多类型储能协同控制。首先,分析电—热联合微网的特点及能量转换方式。然后,设计电—热联合微网中基于波动参数的多类型储能双层协同控制策略,在上层控制中,基于功率波动时间尺度以及变参数的低通滤波方法,提出多类型储能协同平抑功率波动策略;在下层控制中,基于混合储能平抑功率波动以及微网电压、频率机理,提出混合储能能量转移的自适应控制策略。最后,通过仿真算例对所提算法进行验证,仿真结果表明:所提方法可以在有效减少电储能投资成本的前提下充分抑制可再生能源的功率波动,并延长混合储能的使用寿命,具有良好的应用前景。

    Abstract:

    To deal with the power fluctuation and the consumption of photovoltaic power generation with the premise of the demand of power supply and heating in northwest China, this paper studies the collaborative control of multi?types of energy storage based on fluctuation parameters by taking the electric?thermal joint micro?network composed of photovoltaic, heat pump and hybrid energy storage as the research object. Firstly, the characteristics and energy conversion mode of electro?thermal joint microgrid are analyzed. Then, a two?layer collaborative control strategy of multi?type energy storage based on fluctuation parameters is designed for the electro?thermal joint micro?grid. In the upper layer, a strategy of multi?type energy storage collaborative power fluctuation suppression is proposed based on the time?scale of power fluctuation and the low?pass filtering method with variable parameters. In the lower layer, an adaptive control strategy for energy transfer of hybrid energy storage is proposed based on the requirement of the power fluctuation suppression and the mechanism of voltage and frequency in microgrid. Finally, the proposed algorithm is verified by simulation. The simulation results show the proposed method can suppress the power fluctuation of renewable energy and can extend the battery life on the premise of reducing the investment cost of electric energy storage effectively.

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赵建勇,张震霄,康 钧,等.电—热联合微网中基于波动参数的多类型储能协同控制[J].电力科学与技术学报,2023,38(1):164-170.
ZHAO Jianyong, ZHANG Zhenxiao, KANG Jun, et al. Multi‑type energy storage collaborative control based on wave parameters in microgrids with combined heat and power system[J]. Journal of Electric Power Science and Technology,2023,38(1):164-170.

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  • 在线发布日期: 2023-04-10
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