风光储联合发电系统平滑控制方法研究
发布时间：2019-05-30 03:49
【摘要】：间歇性电源出力的随机性和波动性与现代电网对电源的“可控、可调”要求是矛盾的,也是制约电网接纳风电、光伏等清洁能源的重要约束。从电网角度看,并网发电时间歇性电源是具有随机性的扰动源,功率波动是影响电网的稳定运行的主要因素。因此,有必要研究有效的功率波动控制方法平抑风光储联合发电系统输出功率的波动。本文在分析风电与光伏出力波动特性的基础上,以充分利用风电场、光伏电站自身的可调度性,尽量减少储能设备的充放电频率为目标,提出了一种功率平滑模式下风光储联合发电系统的功率平滑控制方法,通过预先调度和实时平抑两个时间尺度,对风力发电系统、光伏发电系统、储能设备进行协调控制,达到平抑输出总功率波动的目的。具体研究内容如下:(1)由于在功率平滑模式下,风光储联合发电系统不存在功率电网调度值,因此在预先调度中以平滑系统输出功率波动为目标,基于风电场、光伏电站功率预测信息,计算系统发电功率曲线,包括风光储联合发电系统发电功率曲线,以及风、光子系统发电功率曲线、储能充放电功率曲线。控制各子系统按照发电功率曲线进行发电,达到平滑系统总输出功率波动的目的。(2)由于预先调度中的发电功率曲线基于风光功率预测信息,无法避免预测误差的影响,有必要利用储能设备实时平抑系统实际输出功率波动。因此设计了一种实时调整权重系数的加权移动平均滤波算法,计算储能设备的充放电功率;进一步为了避免储能过充过放,以维持储能设备荷电状态处于合理范围为目标,采用模糊控制理论设计了储能设备荷电状态的控制策略,达到在维持储能荷电状态处于合理水平的前提下有效平滑系统输出功率波动的目的。(3)基于Matlab/Simulink,计算风光储联合发电系统发电功率曲线,风电场、光伏电站发电功率曲线,以及储能设备充放电功率曲线,并设计仿真实验验证储能设备实时功率平抑策略以及储能SOC模糊控制策略的有效性。仿真结果表明:应用本文功率平滑控制方法,最终得到的系统输出功率波动率较小满足国家并网要求,并且储能荷电状态维持在较合理的水平。
[Abstract]:The randomness and volatility of intermittent power supply are contradictory to the "controllable and adjustable" requirements of power supply in modern power grid, and it is also an important constraint that restricts the power grid to accept clean energy such as wind power and photovoltaic. From the point of view of power grid, the time hysterical power supply for grid-connected power generation is a random disturbance source, and power fluctuation is the main factor affecting the stable operation of power grid. Therefore, it is necessary to study an effective power fluctuation control method to suppress the output power fluctuation of wind storage combined power generation system. On the basis of analyzing the fluctuation characteristics of wind power and photovoltaic output, this paper aims to make full use of wind farm and the schedulability of photovoltaic power station itself, and to reduce the charging and discharging frequency of energy storage equipment as much as possible. In this paper, a power smoothing control method for wind power generation system, photovoltaic power generation system and energy storage equipment is proposed. The wind power generation system, photovoltaic power generation system and energy storage equipment are coordinated and controlled by two time scales: pre-scheduling and real-time suppression. To achieve the purpose of calming down the fluctuation of total output power. The specific research contents are as follows: (1) because there is no power grid adjustment value in the wind power storage combined power generation system in the power smoothing mode, the output power fluctuation of the smoothing system is taken as the goal in the advance dispatching, based on the wind farm. The power prediction information of photovoltaic power station is calculated, including the power curve of wind and photonic system, and the power curve of energy storage and discharge. Each subsystem is controlled to generate electricity according to the power curve of power generation, so as to smooth the fluctuation of the total output power of the system. (2) because the power curve of power generation in advance scheduling is based on the prediction information of wind power, the influence of prediction error can not be avoided. It is necessary to use energy storage equipment to suppress the actual output power fluctuation of the system in real time. Therefore, a weighted moving average filtering algorithm which adjusts the weight coefficient in real time is designed to calculate the charge and discharge power of the energy storage equipment. Furthermore, in order to avoid overcharge and overdischarge of energy storage, in order to keep the charging state of energy storage equipment in a reasonable range, the control strategy of charging state of energy storage equipment is designed by using fuzzy control theory. To achieve the purpose of effectively smoothing the output power fluctuation of the system while maintaining the energy storage and charging state at a reasonable level. (3) based on Matlab/Simulink, the power curve and wind farm of the wind storage combined power generation system are calculated. The power curve of photovoltaic power station and the charging and discharging power curve of energy storage equipment are verified by simulation experiments to verify the effectiveness of real-time power suppression strategy and SOC fuzzy control strategy of energy storage equipment. The simulation results show that the output power volatility of the system is small enough to meet the requirements of national grid connection, and the state of energy storage and charge is maintained at a reasonable level by using the power smoothing control method in this paper.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM61
本文编号：2488499
[Abstract]:The randomness and volatility of intermittent power supply are contradictory to the "controllable and adjustable" requirements of power supply in modern power grid, and it is also an important constraint that restricts the power grid to accept clean energy such as wind power and photovoltaic. From the point of view of power grid, the time hysterical power supply for grid-connected power generation is a random disturbance source, and power fluctuation is the main factor affecting the stable operation of power grid. Therefore, it is necessary to study an effective power fluctuation control method to suppress the output power fluctuation of wind storage combined power generation system. On the basis of analyzing the fluctuation characteristics of wind power and photovoltaic output, this paper aims to make full use of wind farm and the schedulability of photovoltaic power station itself, and to reduce the charging and discharging frequency of energy storage equipment as much as possible. In this paper, a power smoothing control method for wind power generation system, photovoltaic power generation system and energy storage equipment is proposed. The wind power generation system, photovoltaic power generation system and energy storage equipment are coordinated and controlled by two time scales: pre-scheduling and real-time suppression. To achieve the purpose of calming down the fluctuation of total output power. The specific research contents are as follows: (1) because there is no power grid adjustment value in the wind power storage combined power generation system in the power smoothing mode, the output power fluctuation of the smoothing system is taken as the goal in the advance dispatching, based on the wind farm. The power prediction information of photovoltaic power station is calculated, including the power curve of wind and photonic system, and the power curve of energy storage and discharge. Each subsystem is controlled to generate electricity according to the power curve of power generation, so as to smooth the fluctuation of the total output power of the system. (2) because the power curve of power generation in advance scheduling is based on the prediction information of wind power, the influence of prediction error can not be avoided. It is necessary to use energy storage equipment to suppress the actual output power fluctuation of the system in real time. Therefore, a weighted moving average filtering algorithm which adjusts the weight coefficient in real time is designed to calculate the charge and discharge power of the energy storage equipment. Furthermore, in order to avoid overcharge and overdischarge of energy storage, in order to keep the charging state of energy storage equipment in a reasonable range, the control strategy of charging state of energy storage equipment is designed by using fuzzy control theory. To achieve the purpose of effectively smoothing the output power fluctuation of the system while maintaining the energy storage and charging state at a reasonable level. (3) based on Matlab/Simulink, the power curve and wind farm of the wind storage combined power generation system are calculated. The power curve of photovoltaic power station and the charging and discharging power curve of energy storage equipment are verified by simulation experiments to verify the effectiveness of real-time power suppression strategy and SOC fuzzy control strategy of energy storage equipment. The simulation results show that the output power volatility of the system is small enough to meet the requirements of national grid connection, and the state of energy storage and charge is maintained at a reasonable level by using the power smoothing control method in this paper.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM61
【参考文献】
相关期刊论文 前5条
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，本文编号：2488499
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