深冷储能发电机组动态特性研究及其在风功率消纳中的应用
发布时间：2019-03-14 17:48
【摘要】：风电的波动性和间歇性导致了风电无法大规模地并入电网,造成了大量的弃风现象和极大的能源浪费。而储能装置的广泛应用,可以消纳波动的风功率,是克服风电发展瓶颈的一种有效手段。本文将针对一种新兴的储能技术——深冷储能技术,进行了深入研究。本文将建立深冷储能系统的动态模型,基于此对深冷储能发电机组的动态特性展开深入分析,并依据其动态响应特性,建立深冷储能系统在风功率消纳中的有效控制策略。首先,深冷储能系统的充放电过程是相互独立的两个单元,所以分别基于储能环节和释能环节中各装置的动力学和热力学动态特性,建立了深冷储能发电机组的空气液化子系统的动态模型和膨胀发电子系统的动态模型,并对模型的有效性进行了验证。此外,建立了包含火力发电机组和风力发电机组在内的电力系统两区域调频模型,将以此为基础研究深冷储能发电机组的调峰和调频特性。其次,对深冷储能发电机组的动态工作特性进行了研究。在建立的空气液化子系统模型和膨胀发电子系统模型的基础上,分别对储能环节和释能环节各自的动态响应特性进行了分析和探讨。给出了空气液化子系统适宜的工作功率范围,以及空气液化子系统和膨胀发电子系统各自的时间尺度级别。依据膨胀发电子系统的时间响应特性,得出其具备参与电力系统二次调频的特性,并结合电力系统调频模型对此进行了验证。为了研究深冷储能系统的调峰特性,依据有效减少弃风量并增加火电机组出力稳定性这一原则,建立了深冷储能系统参与系统调峰的策略,通过仿真分析验证了其参与调峰的可行性和有效性。最后,对深冷储能发电机组参与风功率消纳的控制策略进行了探讨。以风功率短期预测曲线和预先设定的风功率波动上、下限值作为风电场输出的参考调度功率。以该风电场的参考调度功率与风电场的实际输出功率的差值作为储能系统的工作参考功率。考虑到深冷储能系统的储能环节和释能环节的动态响应速率不同,采用经验模态分解法对其工作参考功率进行分解,并基于储能环节和释能环节的工作时间尺度大小对分解得到的信号进行重构,为空气液化子系统和膨胀发电子系统分配最合适的控制信号。通过仿真分析,验证了该风电消纳控制策略的效果。
[Abstract]:Because of the fluctuation and intermittence of wind power, wind power can not be integrated into the grid on a large scale, resulting in a large number of abandoned wind phenomenon and great waste of energy. The wide application of energy storage devices can absorb fluctuating wind power, and it is an effective means to overcome the bottleneck of wind power development. In this paper, a new energy storage technology, cryogenic energy storage technology, is studied in depth. In this paper, the dynamic model of the cryogenic energy storage system is established, based on which the dynamic characteristics of the cryogenic energy storage unit are analyzed deeply, and the effective control strategy of the cryogenic energy storage system in wind power dissipation is established according to its dynamic response characteristics. First of all, the charge-discharge process of the cryogenic energy storage system is independent of each other, so it is based on the dynamic and thermodynamic dynamic characteristics of the devices in the energy storage and release links, respectively. The dynamic model of air liquefaction subsystem and the dynamic model of expansion generation electronic system of cryogenic energy storage generator set are established and the validity of the model is verified. In addition, a two-area FM model including thermal power generator and wind turbine generator is established. Based on this model, the peak-shaving and frequency-modulation characteristics of cryogenic energy storage generating units are studied. Secondly, the dynamic working characteristics of the cryogenic energy storage generator set are studied. On the basis of the air liquefaction subsystem model and the expansion generation electronic system model, the dynamic response characteristics of the energy storage link and the energy release link are analyzed and discussed respectively. The suitable operating power range of the air liquefaction subsystem and the time scale level of the air liquefaction subsystem and the expansion electronic system are given. According to the time response characteristics of the expansion generation electronic system, it is concluded that it has the characteristic of participating in the secondary frequency modulation of the power system, and it is verified by the frequency modulation model of the power system. In order to study the peak shaving characteristics of the cryogenic energy storage system, according to the principle of effectively reducing the abandoned air volume and increasing the output stability of the thermal power unit, the strategy of the cryogenic energy storage system participating in the peak shaving of the system is established. The feasibility and effectiveness of participating in peak shaving is verified by simulation analysis. Finally, the control strategy of deep cooling energy storage unit participating in wind power dissipation is discussed. Based on the short-term wind power prediction curve and the pre-set wind power fluctuation, the lower limit value is used as the reference dispatching power of the wind farm output. The difference between the reference dispatching power of the wind farm and the actual output power of the wind farm is taken as the working reference power of the energy storage system. Considering the different dynamic response rates of the energy storage and release links of the cryogenic energy storage system, the empirical mode decomposition method is used to decompose the reference power of the cryogenic energy storage system. The decomposition signal is reconstructed based on the working time scale of the energy storage and release links, and the most suitable control signal is allocated for the air liquefaction subsystem and the expansion generation electronic system. Through the simulation analysis, the effect of the wind power dissipation control strategy is verified.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM31
本文编号：2440216
[Abstract]:Because of the fluctuation and intermittence of wind power, wind power can not be integrated into the grid on a large scale, resulting in a large number of abandoned wind phenomenon and great waste of energy. The wide application of energy storage devices can absorb fluctuating wind power, and it is an effective means to overcome the bottleneck of wind power development. In this paper, a new energy storage technology, cryogenic energy storage technology, is studied in depth. In this paper, the dynamic model of the cryogenic energy storage system is established, based on which the dynamic characteristics of the cryogenic energy storage unit are analyzed deeply, and the effective control strategy of the cryogenic energy storage system in wind power dissipation is established according to its dynamic response characteristics. First of all, the charge-discharge process of the cryogenic energy storage system is independent of each other, so it is based on the dynamic and thermodynamic dynamic characteristics of the devices in the energy storage and release links, respectively. The dynamic model of air liquefaction subsystem and the dynamic model of expansion generation electronic system of cryogenic energy storage generator set are established and the validity of the model is verified. In addition, a two-area FM model including thermal power generator and wind turbine generator is established. Based on this model, the peak-shaving and frequency-modulation characteristics of cryogenic energy storage generating units are studied. Secondly, the dynamic working characteristics of the cryogenic energy storage generator set are studied. On the basis of the air liquefaction subsystem model and the expansion generation electronic system model, the dynamic response characteristics of the energy storage link and the energy release link are analyzed and discussed respectively. The suitable operating power range of the air liquefaction subsystem and the time scale level of the air liquefaction subsystem and the expansion electronic system are given. According to the time response characteristics of the expansion generation electronic system, it is concluded that it has the characteristic of participating in the secondary frequency modulation of the power system, and it is verified by the frequency modulation model of the power system. In order to study the peak shaving characteristics of the cryogenic energy storage system, according to the principle of effectively reducing the abandoned air volume and increasing the output stability of the thermal power unit, the strategy of the cryogenic energy storage system participating in the peak shaving of the system is established. The feasibility and effectiveness of participating in peak shaving is verified by simulation analysis. Finally, the control strategy of deep cooling energy storage unit participating in wind power dissipation is discussed. Based on the short-term wind power prediction curve and the pre-set wind power fluctuation, the lower limit value is used as the reference dispatching power of the wind farm output. The difference between the reference dispatching power of the wind farm and the actual output power of the wind farm is taken as the working reference power of the energy storage system. Considering the different dynamic response rates of the energy storage and release links of the cryogenic energy storage system, the empirical mode decomposition method is used to decompose the reference power of the cryogenic energy storage system. The decomposition signal is reconstructed based on the working time scale of the energy storage and release links, and the most suitable control signal is allocated for the air liquefaction subsystem and the expansion generation electronic system. Through the simulation analysis, the effect of the wind power dissipation control strategy is verified.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM31
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