Abstract: A method for constructing real-time solar irradiation metering network of gigawatt-level photovoltaic power generation base comprises the following steps: Spatial and temporal distribution characteristics of irradiation quantity of the target area is analyzed based on the historical observation data of the irradiation quantity. The outline location of solar irradiation metering stations is determined by dividing the typical areas where the spatial and temporal distribution characteristics are consistent. The detailed location of solar irradiation metering stations is selected based on the center location distribution of photovoltaic power station clustering. A solar irradiation metering device is constructed on the detailed location of the solar irradiation metering station.

Abstract: A method of calculating voltage and power of large-scaled photovoltaic power plant includes following steps. Environment models of varies locations within the photovoltaic power plant are obtained. A photovoltaic display model is established by establishing a photovoltaic cell model, combining the photovoltaic cell model with the environment models, determining a combination of the environmental data on photovoltaic panels and the photovoltaic cell model, and determining a quantitative relationship between a photovoltaic cell power generation state and photovoltaic environment. An inverter model is obtained by modeling inverters connected to photovoltaic cells. A grid-side model is obtained. An electrical energy and voltage forecast model is constructed by integrated the photovoltaic display model, the inverter model, and the grid-side model.

Abstract: A method of simulating wind field of extreme arid region based on WRF includes following steps. A mode parameter optimization scheme for wind energy simulation is selected, wherein the mode parameter optimization scheme is selected by selecting a group of mode parameter optimization schemes of different ground floors, land process, and planet boundary layers having great influence on simulation of the boundary layer of wind field, and comparing the mode parameter optimization schemes. A wind energy simulation of the extreme arid region is performed during a preset length of time using the selected mode parameter optimization scheme. Simulation configuration of the wind field for the extreme arid region is obtained through results of the wind energy simulation.

Abstract: A method of constructing wind power connection system model based on measured data includes following steps. Operating data is selected in a preset time of each wind turbine in a wind farm. A wind speed matrix and a active power matrix of sampling points are constructed based the operating data. A wind speed model of the wind farm is obtained based on the wind speed matrix and the active power matrix.

Abstract: A method of assessing risk of power system with high penetration of wind power includes following steps. A correlation coefficient between wind power and load is obtained, and a probability of negative peak shaving is calculated. A probability of extreme ramp rate under extreme weather conditions is obtained, wherein a probability distribution of the extreme ramp rate matches principles of HILF and LIHF. A PRNS, an ERNS, and a RI are obtained, optimal reserve demand is obtained utilizing Unit Commitment Model, and operation risk based on PRNS, ERNS, and RI is calculated. A relationship between frequency and consequence distribution of risk is obtained by calculating the operation risks during N days, dividing the operation risks into different risk levels, and calculating a frequency of each risk level, wherein the operation risks in each level have similar values.

Abstract: A method of calculating available output power of wind farm includes following steps. A space vector Vk is obtained by decomposing a power sequence of benchmarking wind turbines in a wind farm based on empirical orthogonal function. A typical power sequence of the benchmarking wind turbines is calculated by restoring the space vector Vk. A total power Ptotal of a feeder on which the benchmarking wind turbines is operated is obtained by enlarging a typical power of each benchmarking wind turbine in proportion according to the quantity of the benchmarking wind turbines operated on the feeder. An output power Pestimate of the wind farm is obtained by accumulating the total power Ptotal of all the benchmarking wind turbines.

Abstract: A method for constructing real-time solar irradiation metering network of gigawatt-level photovoltaic power generation base comprises the following steps: Spatial and temporal distribution characteristics of irradiation quantity of the target area is analyzed based on the historical observation data of the irradiation quantity. The outline location of solar irradiation metering stations is determined by dividing the typical areas where the spatial and temporal distribution characteristics are consistent. The detailed location of solar irradiation metering stations is selected based on the center location distribution of photovoltaic power station clustering. A solar irradiation metering device is constructed on the detailed location of the solar irradiation metering station.

Abstract: A method of calculating theoretical power of wind farm based on extrapolation of anemometer tower data includes following steps. A number of anemometer towers in a wind farm is selected, and analyzing historical data acquired by the number of anemometer towers. An air density is calculated based on the historical data of the number of anemometer towers. A power curve is calibrated based on the historical data of the number of anemometer towers. The power curve is fit based on a wind speed and a wind power of a fan head of each wind turbine based on the historical data. An theoretical power calculation extrapolation model of anemometer tower data is constructed. Real-time anemometer tower wind data and a calibrated air density are inputted into the theoretical power calculation model and calculating the wind power. The theoretical power is obtained.

Abstract: A method of computing theoretical power of wind farm based on sample wind turbine method. Historical real-time measured output data of sample wind turbines in the wind farm is statistically analyzed. A theoretical output of the sample wind turbines is analyzed based on a wind power output characteristic and a theoretical output design curve of wind turbine. A theoretical power calculation model of wind farm is constructed based on the historical real-time measured output data of sample wind turbines. A number of wind turbines actually running in real-time is obtained based on real-time information data of wind turbines in the wind farm. An actual operation data of the sample wind turbines is confirmed. The actual operation data is input into the theoretical power calculation model of wind farm. Real-time data of theoretical power of wind farm is output, and an actual operation result of wind farm is comparatively analyzed.

Abstract: An approach to assess available wind resource distribution based on interpolation method includes following steps. A correlation coefficient is obtained between each two of a number of anemometer towers, and a number of first groups are formed by grouping the anemometer towers for the first time with the shortest distance clustering method. A number of second groups are obtained by grouping the plurality of anemometer towers in each of the first groups for the second time, wherein anemometer towers are grouped with absolute value of differences of mean wind velocity between each two of the anemometer towers. A number of values of wind velocity and wind direction at an target point are obtained through at least two anemometer towers in one of the second groups by the inverse distance weighting method, wherein the at least two anemometer towers are nearest to the target point.

Abstract: A method of calculating available output power of wind farm includes following steps. A space vector Vk is obtained by decomposing a power sequence of benchmarking wind turbines in a wind farm based on empirical orthogonal function. A typical power sequence of the benchmarking wind turbines is calculated by restoring the space vector Vk. A total power Ptotal of a feeder on which the benchmarking wind turbines is operated is obtained by enlarging a typical power of each benchmarking wind turbine in proportion according to the quantity of the benchmarking wind turbines operated on the feeder. An output power Pestimate of the wind farm is obtained by accumulating the total power Ptotal of all the benchmarking wind turbines.

Abstract: A method of analyzing wake flow of wind turbine based on multiple wake flow models includes following steps. A number of wake flow model are analyzed. A number of wake flow turbulence models are analyzed based on analysis results of the wake flow models. A number of wake flow combined models are analyzed based on the analysis results of the wake flow turbulence models, and the wind turbine wake flow analysis results of all the wake flow models, wake flow turbulence modes, and wake flow combine models are obtained.

Abstract: A method of dividing irradiance regions based on rotated empirical orthogonal function includes following steps. A standardized matrix averaging on annual total radiation amount data is performed. An empirical orthogonal function decomposition on an annual total radiation variable field matrix is performed based on the standardized matrix averaging result of the annual total radiation amount data. A variance contribution rate and an accumulative variance contribution rate are calculated by rotating a load matrix and a factor matrix according to a varimax orthogonal rotation principle based on the empirical orthogonal function decomposition result of the annual total radiation variable field matrix. The irradiance regions are divided according to results of the variance contribution rate and the accumulative variance contribution rate.