CN114254768A - 一种基于风机健康状况的一次调频方法 - Google Patents
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Abstract
本发明公开了一种基于风机健康状况的一次调频方法。根据获取的风机系统各部分的传感数据进行故障评估,包括依次进行的故障检测和故障程度值确定;针对健康状态监测,根据故障程度值结合其他因素,通过层次分析法将各因素对于风机的影响程度量化处理为权重因子,以权重因子表征风机健康状态;根据各个风机的权重因子和故障程度值对所有风机进行一次调频。本发明结合了新型的神经网络算法,首次提出了结合各风机的健康状态水平参与系统一次调频,对各风机的出力进行了合理分配,实现了减缓风机状态恶化,延长风机的使用寿命,降低风机的维护成本。
Description
技术领域
本发明涉及了一种电网一次调频方法,具体设计一种基于风机健康状况的一次调频方法。
背景技术
在过去的几十年里,风电产业在中国和世界范围内都取得了巨大的发展。随着风能普及率的不断提高,受风能影响的电网的可靠性是一个挑战。因此,风电场必须提供相应的有功功率,以支撑电网中的频率。为了满足一次调频的要求,现代风电场的运行要求更像传统发电厂。在这种情况下,维持风机的有功功率支撑是非常必要的。风机通常安装在恶劣的条件下,尤其是海上风电场,这给其运行和维护带来了挑战。风机也是一个复杂的发电系统,各部件的健康状况将影响整个系统的工作效率,影响到风机的功率输出,进而影响到其一次调频策略。这对风电场并网后参与一次调频起着相当重要的作用。
为了实现风电场功率支撑的优化控制,人们提出了相关的控制策略:由于风速大小不同,根据可用功率裕度大小调整下垂控制系数;或者根据风速区间分配不同的权重系数,控制不同风速下的风机提供不同的功率支撑。然而,很少有工作考虑风机的健康状况对风电场电力调度控制的影响。
一般控制策略下,风电场中的每台风机都假设具有相同的健康状况,因此,通常的一次调频有功功率控制算法是基于平均功率分配方法或按固定比例分配的方法来参与系统一次调频的。对于非健康风机,所分配到的功率目标与健康风机相同,这样的支撑压力可能加剧非健康风机的恶化程度,加速缩短其使用寿命,甚至导致故障。
发明内容
基于目前少有工作考虑风机健康状况对风电场电力调度控制的影响的问题,本发明在于设计一种基于风机健康状况的一次调频方法,该方法能通过采集的风机信息对风机进行实时故障诊断和状态评估,并根据评估结果设计了风机的一次调频策略,可有效提高风机并网电能质量的同时,减缓风机恶化降低维护成本。
本发明方法考虑了风机的健康状态水平,能够有效缓解风机恶化问题。
本发明的技术方案是:
S1、根据获取的风机系统各部分的传感数据进行故障评估,包括依次进行的故障检测和故障程度值确定;
所述的故障检测是利用长短期记忆网络(LSTM)算法,对实时获得的历史的传感数据进行处理得到未来的传感数据的预测值,并与未来的传感数据的实测值进行比较获得差值,依据差值大小判断是否出现故障;
所述故障程度值确定是以故障检测实时获得的差值作为观测值,将一段时间观测值的平均值输入到利用邦费罗尼(Bonferroni)区间法中处理获得故障程度值,用于准确地量化故障程度。
所述的故障程度值代表风机的故障程度,若差值为零,则故障程度值取为零。
所述的风机系统各部分的传感数据包括有风机传动轴温度、传动轴轴承的温度、叶片磨损程度、风机和发电机之间的齿轮箱温度、发电机线圈的温度,但不限于此。
S2、针对健康状态监测,根据S1获得的故障程度值结合风机寿命、风机各部分维修费用和维修时间、风机环境的气温、气象状况、海况等因素,通过层次分析法将各因素对于风机的影响程度量化处理为权重因子,以权重因子表征风机健康状态;
S3、根据各个风机的权重因子和故障程度值对所有风机进行一次调频。
所述S3具体为:
首先,通过一次调频获得所述有风机提供的有功功率总量,基于各个风机的权重因子,根据对应权重因子的比例将有功功率总量分配各个风机的有功功率输出量的大小;
其次,针对风机故障部位不同,设置不同的风机动态功率控制方法及约束对风机进行控制;
针对叶片磨损的故障状态,通过控制桨距角进行功率控制,并对风机转速设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围;若叶片磨损故障,则控制桨距角变大,转速变小,功率变小。
针对传动轴变形或轴承磨损的故障状态,通过控制转矩进行功率控制,并对转矩设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围。若传动轴变形或轴承磨损故障,则控制转矩减小,功率变小。
如图6所示,所述S3中,具体是采用以下方式进行控制:风机通过传感器实时输出发电机的转速和传动轴的转矩,将控制量输入的额定转速减去发电机的转速后获得转速误差,进而输入到桨距角PI控制器中处理输出风机的桨距角,将风机的桨距角施加到风机上进行桨距角控制;同时,发电机的转速输入到功率-转矩控制器中处理获得理想转矩,传动轴的转矩输入到传动系统阻尼器中处理获得转速的损耗,将理想转矩减去转速的损耗后获得发电机的转矩,将发电机的转矩施加到风机上进行发电机的转矩控制。由此实现了转速和转矩的双重协同控制。
本发明结合了新型的神经网络算法,首次提出了结合各风机的健康状态水平参与系统一次调频,对各风机的出力进行了合理分配,实现了减缓风机状态恶化,延长风机的使用寿命,降低风机的维护成本。
本发明的有益效果是:
在电网频率发生波动后,若电网频率偏差或频率变化率超过调频死区,风机参与一次调频,避免了电网频率微小波动时风机的不必要动作;并且考虑了各风机的健康状态水平,合理分配了各风机的有功功率输出增量的大小;
同时考虑了风机的故障部位,合理地调整了故障风机的控制方法,在满足一次调频,提高风机并网电能质量的基础上,缓解了风机故障状态的恶化,降低了风机的维护成本。
附图说明
图1是本发明的整体流程图;
图2是本发明的风机故障程度评估的原理图;
图3是本发明的风机健康状态监测的结构图;
图4是风机减载运行的功率特性曲线图;
图5是本发明的一次调频原理图;
图6是风机减载运行的原理图。
具体实施方式
下面结合附图和实施例对本发明的技术方案作进一步说明。
如图1所示,本发明具体实施主要包括故障程度评估、健康状态监测和一次调频策略设计三个部分/步骤。
S1、如图2所示,风机故障程度评估,包括故障检测以及故障程度值确定。
其中,故障检测是针对每台风机通过LSTM算法进行判断,处理方法为:对于第m台风机的状态,将t时刻获取的传感数据输入到LSTM算法模型中进行处理,输出t+1时刻的预测数据表征风机的预测值,与t+1时刻的实测值进行比较,通过差值大小判断风机是否出现故障。
故障程度值确定是通过邦费罗尼区间法,量化故障程度,提高了准确度,处理方法为:将上一步故障检测得到的预测值与实测值的差值进行处理,根据置信度得出风机量化的故障程度值。
S2、如图3所示,风机健康状态监测,采用了层次分析法进行算法建模。在具体实施中,将上一步得到的风机的故障程度值作为输入之一,另外的输入包括但不限于风机寿命、风机各部分维护费用和维护时间、气温、气象状况以及海况。
不同因素对风机健康状态的影响不同,建立了不同因素的影响程度矩阵,采用了层次分析法处理为权重因子,表征风机的健康状态水平。
S3、如图4所示,风机一次调频,是基于各风机均工作在减载运行模式,根据实际需要预留不同大小的功率裕度。
在具体实施中,对于电网频率突然下降的情况,结合虚拟惯量响应以及一次调频下垂特性,得到风机参与一次调频所需的有功功率输出增量。
如图5所示,对于各风机,基于其健康状态水平,按照相应的权重系数分配有功功率输出量。假设有N台风机,其中M台为非健康风机,对应的健康状态水平为Si(t)并且0≤Si≤1,0代表完全故障而1代表完全健康。当频率发生偏差Δf,得到有功功率增量ΔPin和ΔPd。对于非健康风机,优化后的有功功率参考值为
同时,如图6所示,针对风机故障部位不同,设置对应的风机动态功率控制方法及约束。
在具体实施中,针对风机叶片磨损的故障状态,通过控制桨距角进行功率控制,并对风机转速设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围;
针对传动轴变形或轴承磨损的故障状态,通过控制转矩进行功率控制,并对转矩设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围。
综上所述,本发明在满足一次调频要求的基础上,考虑了各风机的健康状态水平,合理分配了各风机的有功功率输出增量的大小,同时考虑了风机的故障部位,合理地调整了故障风机的控制方法,缓解了风机故障状态的恶化,降低了风机的维护成本。
Claims (5)
1.一种基于风机健康状况的一次调频方法,其特征在于:
S1、根据获取的风机系统各部分的传感数据进行故障评估,包括依次进行的故障检测和故障程度值确定;
S2、针对健康状态监测,根据S1获得的故障程度值结合风机寿命、风机各部分维修费用和维修时间、风机环境的气温、气象状况、海况等因素,通过层次分析法将各因素对于风机的影响程度量化处理为权重因子,以权重因子表征风机健康状态;
S3、根据各个风机的权重因子和故障程度值对所有风机进行一次调频。
2.根据权利要求1所述的一种基于风机健康状况的一次调频方法,其特征在于:所述S1中,所述的故障检测是利用长短期记忆网络算法,对实时获得的历史的传感数据进行处理得到未来的传感数据的预测值,并与未来的传感数据的实测值进行比较获得差值,依据差值大小判断是否出现故障。
3.根据权利要求1所述的一种基于风机健康状况的一次调频方法,其特征在于:所述S1中,所述故障程度值确定是以故障检测实时获得的差值作为观测值,将观测值的平均值输入到利用邦费罗尼区间法中处理获得故障程度值,用于准确地量化故障程度。
4.根据权利要求1所述的一种基于风机健康状况的一次调频方法,其特征在于:所述S3具体为:
首先,通过一次调频获得所述有风机提供的有功功率总量,根据对应权重因子的比例将有功功率总量分配各个风机的有功功率输出量的大小;
其次,针对风机故障部位不同,设置不同的风机动态功率控制方法及约束对风机进行控制;
针对叶片磨损的故障状态,通过控制桨距角进行功率控制,并对风机转速设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围;
针对传动轴变形或轴承磨损的故障状态,通过控制转矩进行功率控制,并对转矩设置动态的约束边界,在规定的时间间隔内根据风机健康状态实时调整约束范围。
5.根据权利要求1所述的一种基于风机健康状况的一次调频方法,其特征在于:所述S3中,具体是采用以下方式进行控制:风机实时输出发电机的转速和传动轴的转矩,将额定转速减去发电机的转速后获得转速误差,进而输入到桨距角PI控制器中处理输出风机的桨距角,将风机的桨距角施加到风机上进行桨距角控制;同时,发电机的转速输入到功率-转矩控制器中处理获得理想转矩,传动轴的转矩输入到传动系统阻尼器中处理获得转速的损耗,将理想转矩减去转速的损耗后获得发电机的转矩,将发电机的转矩施加到风机上进行发电机的转矩控制。
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CN116073363A (zh) * | 2022-11-24 | 2023-05-05 | 中南大学 | 海上风电经柔直并网系统调频过程故障电流主动抑制方法 |
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CN116073363A (zh) * | 2022-11-24 | 2023-05-05 | 中南大学 | 海上风电经柔直并网系统调频过程故障电流主动抑制方法 |
CN116073363B (zh) * | 2022-11-24 | 2024-05-10 | 中南大学 | 海上风电经柔直并网系统调频过程故障电流主动抑制方法 |
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