基于时序仿真和GA的风储系统储能容量优化配比
发布时间：2018-08-22 16:19
【摘要】：鉴于风储一体化系统中储能容量是影响风电并网系统综合技术经济性能的关键因素之一,提出了基于时序仿真原理和GA算法相结合的协调风电有功功率与其并网系统负荷功率波动的风储一体化系统中储能容量优化配比新方法。根据电网日负荷分布的规律性与风电场出力的随机性,构建了协调风电有功功率与其并网系统负荷功率波动的储能充放电控制策略数学模型;在此基础上,以储能容量最小为目标,考虑储能装置充放电效率、荷电状态与风储合成出力目标等因素,构建了基于时序仿真原理的风储一体化系统中储能容量优化配比数学模型;进一步,采用GA算法对上述时序仿真模型求解。最后,以新疆某风电并网系统实际运行数据对上述风储系统中储能容量优化配比方法进行仿真验证,结果表明:在确保风电出力对系统不构成威胁的情况下,风储功率配比≤8:1,储能系统持续最大持续充放电时间≤1.2 h,较好地兼顾了系统的技术与经济性能。
[Abstract]:In view of the fact that energy storage capacity is one of the key factors affecting the comprehensive technical and economic performance of wind power grid connection system, A new method for optimizing the proportion of energy storage capacity in an integrated wind storage system based on the principle of time series simulation and GA algorithm is proposed to coordinate the fluctuation of active power of wind power and load power of grid-connected system. According to the regularity of daily load distribution in power grid and the randomness of wind farm output, a mathematical model of energy storage charge and discharge control strategy is established to coordinate the fluctuation of active power of wind power and load power of grid-connected system. Taking the minimum energy storage capacity as the goal, considering the charge and discharge efficiency of the energy storage device, the charge state and the combined force target of the air storage, a mathematical model for optimizing the proportion of the energy storage capacity in the integrated wind storage system based on the principle of time series simulation is constructed. The GA algorithm is used to solve the above time series simulation model. Finally, based on the actual operation data of a wind power grid connected system in Xinjiang, the optimal ratio of energy storage capacity in the wind storage system mentioned above is simulated and verified. The results show that: under the condition of ensuring that the wind power output does not pose a threat to the system, The power ratio of wind storage is 鈮，
本文编号：2197644
[Abstract]:In view of the fact that energy storage capacity is one of the key factors affecting the comprehensive technical and economic performance of wind power grid connection system, A new method for optimizing the proportion of energy storage capacity in an integrated wind storage system based on the principle of time series simulation and GA algorithm is proposed to coordinate the fluctuation of active power of wind power and load power of grid-connected system. According to the regularity of daily load distribution in power grid and the randomness of wind farm output, a mathematical model of energy storage charge and discharge control strategy is established to coordinate the fluctuation of active power of wind power and load power of grid-connected system. Taking the minimum energy storage capacity as the goal, considering the charge and discharge efficiency of the energy storage device, the charge state and the combined force target of the air storage, a mathematical model for optimizing the proportion of the energy storage capacity in the integrated wind storage system based on the principle of time series simulation is constructed. The GA algorithm is used to solve the above time series simulation model. Finally, based on the actual operation data of a wind power grid connected system in Xinjiang, the optimal ratio of energy storage capacity in the wind storage system mentioned above is simulated and verified. The results show that: under the condition of ensuring that the wind power output does not pose a threat to the system, The power ratio of wind storage is 鈮，
本文编号：2197644
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