New energy generation power prediction method and system with self-adaptive time scale
The invention discloses a new energy generation power prediction method and system with a self-adaptive time scale. The method comprises the steps of 1, performing equal-interval power prediction according to external meteorological data; 2, solving the absolute value of the power slope between two...
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| creator | XIAO BITAO YIN JUN REN LIFEI YI JINBAO ZHANG TIENAN LAI XIAOLU WANG GUISONG |
| description | The invention discloses a new energy generation power prediction method and system with a self-adaptive time scale. The method comprises the steps of 1, performing equal-interval power prediction according to external meteorological data; 2, solving the absolute value of the power slope between two adjacent power prediction time points according to the power prediction result in the step 1; 3, carrying out nonlinear normalization processing on the absolute value of the slope; 4, solving a prediction time interval according to a nonlinear normalization processing result; and 5, respectively calculating the generated power data of each prediction point according to the prediction time interval obtained in the step 4. According to the method, when the change trend of wind power and photovoltaic power generation is large, the power prediction frequency is improved; when the change trend of wind power generation and photovoltaic power generation is stable, the frequency of power predictionis kept unchanged, and th |
| format | Patent |
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The method comprises the steps of 1, performing equal-interval power prediction according to external meteorological data; 2, solving the absolute value of the power slope between two adjacent power prediction time points according to the power prediction result in the step 1; 3, carrying out nonlinear normalization processing on the absolute value of the slope; 4, solving a prediction time interval according to a nonlinear normalization processing result; and 5, respectively calculating the generated power data of each prediction point according to the prediction time interval obtained in the step 4. 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The method comprises the steps of 1, performing equal-interval power prediction according to external meteorological data; 2, solving the absolute value of the power slope between two adjacent power prediction time points according to the power prediction result in the step 1; 3, carrying out nonlinear normalization processing on the absolute value of the slope; 4, solving a prediction time interval according to a nonlinear normalization processing result; and 5, respectively calculating the generated power data of each prediction point according to the prediction time interval obtained in the step 4. 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The method comprises the steps of 1, performing equal-interval power prediction according to external meteorological data; 2, solving the absolute value of the power slope between two adjacent power prediction time points according to the power prediction result in the step 1; 3, carrying out nonlinear normalization processing on the absolute value of the slope; 4, solving a prediction time interval according to a nonlinear normalization processing result; and 5, respectively calculating the generated power data of each prediction point according to the prediction time interval obtained in the step 4. According to the method, when the change trend of wind power and photovoltaic power generation is large, the power prediction frequency is improved; when the change trend of wind power generation and photovoltaic power generation is stable, the frequency of power predictionis kept unchanged, and th</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | New energy generation power prediction method and system with self-adaptive time scale |
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