风光储协调控制策略研究
发布时间：2018-10-21 15:22
【摘要】：由于风电、光伏等新能源发电具有间歇性和波动性等特点,新能源发电的大规模接入引起的发电出力波动所造成的电网电压及频率波动的问题越来越严重。因此,引入大容量储能系统是今后增加电网储备,增大风电和光伏等新能源发电接入比例的重要手段,在新能源的接纳及电网的安全稳定运行方面具有关键作用。通过应用储能系统构建风光储系统协调风光功率与电网间波动的控制方案逐渐得到关注。 本文对风、光功率特性进行分析,基于二者间天然的互补特性及储能实时充放电的特性构成了风光储联合发电系统。针对风光出力的随机性,波动性等特点,提出一种基于加权移动平均自适应滤波算法的储能系统平滑控制策略。该方法根据风光功率的波动程度与当前储能系统的荷电状态(state of charge, SOC),通过实时调整权重系数和滤波带宽有效平滑功率,协调风光储发电系统与电网间的功率波动。最后,将波动率约束条件考虑到风光储协调控制策略中,并通过某示范单位风光功率历史数据在MATLAB上编程实现了该控制策略。仿真结果验证了该策略的有效性和正确性,为风光储联合发电系统协调控制提供了可靠的依据。
[Abstract]:Because of the intermittent and fluctuating characteristics of new energy generation such as wind power, photovoltaic and so on, the problem of voltage and frequency fluctuation caused by the fluctuation of power generation force caused by large-scale new energy generation is becoming more and more serious. Therefore, the introduction of large capacity energy storage system is an important means to increase the power grid reserve and increase the proportion of new energy generation, such as wind power and photovoltaic, which plays a key role in the acceptance of new energy and the safe and stable operation of power grid. Through the application of energy storage system, the control scheme to coordinate the fluctuation between wind power and power grid has been paid more and more attention. In this paper, the wind and optical power characteristics are analyzed. Based on the natural complementary characteristics between them and the characteristics of real time charge and discharge of energy storage, the combined wind and storage power generation system is constructed. In view of the randomness and volatility of wind-output force, a smoothing control strategy for energy storage system based on weighted moving average adaptive filtering algorithm is proposed. According to the fluctuation degree of the wind power and the current charging state of the energy storage system, the method adjusts the weight coefficient and the effective smooth power of the filter bandwidth in real time, and coordinates the power fluctuation between the solar power storage system and the power network. Finally, the volatility constraint condition is taken into account in the coordinated control strategy of wind and storage, and the control strategy is realized by programming on MATLAB through a demonstration unit wind power history data. The simulation results verify the validity and correctness of the strategy and provide a reliable basis for coordinated control of the combined generation system.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614
本文编号：2285514
[Abstract]:Because of the intermittent and fluctuating characteristics of new energy generation such as wind power, photovoltaic and so on, the problem of voltage and frequency fluctuation caused by the fluctuation of power generation force caused by large-scale new energy generation is becoming more and more serious. Therefore, the introduction of large capacity energy storage system is an important means to increase the power grid reserve and increase the proportion of new energy generation, such as wind power and photovoltaic, which plays a key role in the acceptance of new energy and the safe and stable operation of power grid. Through the application of energy storage system, the control scheme to coordinate the fluctuation between wind power and power grid has been paid more and more attention. In this paper, the wind and optical power characteristics are analyzed. Based on the natural complementary characteristics between them and the characteristics of real time charge and discharge of energy storage, the combined wind and storage power generation system is constructed. In view of the randomness and volatility of wind-output force, a smoothing control strategy for energy storage system based on weighted moving average adaptive filtering algorithm is proposed. According to the fluctuation degree of the wind power and the current charging state of the energy storage system, the method adjusts the weight coefficient and the effective smooth power of the filter bandwidth in real time, and coordinates the power fluctuation between the solar power storage system and the power network. Finally, the volatility constraint condition is taken into account in the coordinated control strategy of wind and storage, and the control strategy is realized by programming on MATLAB through a demonstration unit wind power history data. The simulation results verify the validity and correctness of the strategy and provide a reliable basis for coordinated control of the combined generation system.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614
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