| How to tap the power generation potential of huge stock wind power assets has become a key problem to be solved in China’s wind power industry.Wind farm operation and maintenance performance evaluation is a key measure to quantitatively evaluate the actual operating condition of in-service wind farms,trace the root causes of power generation performance loss,and tap the potential for improving power generation performance,which can provide important decision-making basis for operation and maintenance management,transformation and upgrading of in-service wind farms.Therefore,according to the thought of "indicator system construction,key indicators calculation,power generation capacity comparison and evaluation system development",the evaluation method of wind farm operation and maintenance performance is studied,and a set of wind farm operation and maintenance performance evaluation system is developed in this paper.The main research work include:1.The evaluation indicator system and comprehensive evaluation method of wind farm operation and maintenance performance including the influence of wind energy resource differences are proposed,which can provide theoretical and methodological basis for the calculation of key evaluation indicators and the development of wind farm operation and maintenance performance evaluation system.Firstly,the evaluation indicator system of wind farm operation and maintenance performance is constructed for the evaluation dimensions of design level,power generation performance,maintenance level and energy consumption degree,and the combination of statistical and comparative indicators are adopted to realize the indicator decoupling,quantitative evaluation and fair comparison of wind farm operation and maintenance performance.Then,the comprehensive evaluation method based on improved CRITIC weighting method is proposed,in which the uneven situation of different evaluation indicators and the comprehensive comparison of power generation performance among different wind farms shall be overcome and realized.2.A calculation method of wind turbine design energy production based on rotor equivalent wind speed is proposed,which can provide a methodological basis for the accurate calculation of design energy production in the wind farm operation and maintenance performance evaluation indicator system.Firstly,The mathematical models of wind shear effect,tower shadow effect and their combined action are constructed respectively,and the influence law of wind shear and tower shadow effect on the spatial distribution of wind speed is analyzed.Secondly,the shortcomings of the rotor equivalent wind speed calculation method based on equivalent torque are analyzed.Then,the rotor equivalent wind speed calculation method based on equivalent power is proposed including wind shear effect,tower shadow effect and wind turbine operation characteristics,which solved the problem that the existing rotor equivalent wind speed calculation model did not accord with the power control characteristics of wind turbine.Finally,combined with the wind turbine test power curve modified by air density and turbulence intensity,the calculation model of wind turbine design energy production based on rotor equivalent wind speed is established.The results demonstrated that the design energy production of wind turbine can effectively represent the maximum power generation performance of wind turbine under the actual wind energy resources.3.A calculation method of wind turbine reachable energy production based on interval extreme probability density,which can provide a methodological basis for the accurate calculation of reachable energy production in the wind farm operation and maintenance performance evaluation indicator system.Firstly,the distribution characteristics of wind turbine abnormal operation data are analyzed.Secondly,wind turbine power curve model based on interval extreme probability density is constructed,which solves the problem of modeling efficiency reduction caused by complex and time-consuming abnormal data cleaning of wind turbine.Finally,the existing classical modeling method of wind turbine power curve based on abnormal data cleaning are introduced as the benchmark models to verify the effectiveness and correctness of the proposed modeling method.The results demonstrated that the proposed method can simultaneously guarantee high modeling accuracy and efficiency,and does not cost a lot of manual modeling cost,which is a simple method suitable for engineering applications.4.A wind turbine power generation capacity comparison method based on piece-wise regression of multiple environmental parameters is proposed,which can provide a methodological basis for the accurate calculation of reachable energy production in the wind farm operation and maintenance performance evaluation indicator system,and ensure the fairness of wind turbine power generation capacity comparison under different wind energy resources.Firstly,an abnormal data cleaning method based on timing matching and bidirectional quartile algorithm is proposed to solve the problem that the data category in the transition area between accumulated limiting abnormal data and normal data can not be identified effectively.Then,the key environmental impact parameters of wind power are selected,and a data sample construction method based on sliding window method is proposed to ensure the timing and representation of data samples.Finally,taking the generator speed and wind power at the last time of the data sample as the segmentation basis,and using LSTM neural network and GRU neural network,a wind turbine power curve models based on piece-wise regression of multiple environmental parameters are constructed respectively,and the comparison methods of different wind turbine power generation capacity are proposed.The results demonstrated that the proposed abnormal data cleaning method can effectively solve the problem that the data categories in the transition area can not be identified effectively,and the proposed power generation capacity comparison method can effectively improve the modeling accuracy of power curve and maintain the fairness of comparison.5.A set of wind farm operation and maintenance performance evaluation system is developed and tested,which can provide important data support and decision-making basis for wind farm technical transformation and operation and maintenance management.Firstly,the design objectives and principles,general architecture,functional modules and deployment scheme of wind farm operation and maintenance performance evaluation system are proposed.Then,the functional characteristics of wind farm operation and maintenance performance evaluation system are tested and verified using the measured data,and the evaluation results are analyzed.The results demonstrated that the proposed statistical indicators can realize the quantitative evaluation of operation and maintenance performance of different aspects,and trace the root causes of power generation performance loss of wind farms.The proposed comparative indicators can effectively eliminate the influence of wind energy resource and design levels differences,and achieve the fair comparison of operation and maintenance performance among different wind farms.The evaluation results of the proposed comprehensive evaluation model based on improved CRITIC weighting method are more in aligned with the actual operation and maintenance performance of wind farms,which can effectively realize the comprehensive evaluation and fair comparison of operation and maintenance performance of different wind farms. |
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