Abstract: A wind farm output control device includes a potential estimator estimating a maximum electrical energy outputtable by each wind power generation device, a control amount determiner determining, based on the estimated maximum power amount, a control amount for an effective power of each wind power generation device and/or a reactive power thereof in a wind farm, and a control amount distributor distributing the control amount based on an available power generation amount of each wind power generation device. The potential estimator estimates the maximum power amount based on a pitch angle of blades, an angular speed deviation of a power generator, and a conversion loss of the wind power generation device. Within the range of the estimated maximum power amount, the control amount for the output by the wind farm is distributed within a range where each wind power generation device is outputtable according to the wind condition.

Abstract: An output by a wind farm including multiple wind power generation devices is controlled by an output control device. To control the output, (1) a potential estimator estimates an outputtable maximum power amount by each wind power generation device, (2) a control amount determiner determines a control amount of the whole wind farm based on the maximum power amount estimated by the potential estimator, (3) a control timing adjuster adjusts a control timing of the control amount of the whole wind farm, (4) a control amount distributer distributes the control amount having undergone the control timing adjustment based on an available power generation amount of each wind power generation device.

Abstract: An output by a wind farm including multiple wind power generation devices is controlled by an output control device. To control the output, (1) a potential estimator estimates an outputtable maximum power amount by each wind power generation device, (2) a control amount determiner determines a control amount of the whole wind farm based on the maximum power amount estimated by the potential estimator, (3) a control timing adjuster adjusts a control timing of the control amount of the whole wind farm, (4) a control amount distributer distributes the control amount having undergone the control timing adjustment based on an available power generation amount of each wind power generation device.

Abstract: A wind farm output control device includes a potential estimator estimating a maximum electrical energy outputtable, by each wind power generation device, a control amount determiner determining, based on the estimated maximum power amount, a control amount for an effective power of each wind power generation device and/or a reactive power thereof in a wind farm, and a control amount distributor distributing the control amount based on an available power generation amount of each wind power generation device. The potential estimator estimates the maximum power amount based on a pitch angle of blades, an angular speed deviation of a power generator, and a conversion loss of the wind power generation device. Within the range of the estimated maximum power amount, the control amount for the output by the wind farm is distributed within a range where each wind power generation device is outputtable according to the wind condition.

Abstract: An electric-power-generation level predicting apparatus 1 includes a memory unit 20 that stores, as past data relating to a past electric power generation level of an electric power generator, past data containing information at multiple time points in each day, and an predicted-value calculating unit 13 that calculates, as time-series data containing an occurrence probability, an predicted value of the past data relating to an electric power generation level of the electric power generator based on a statistical correlation between different times in the past data or a statistical correlation between locations of the different electric power generators. The predicted-value calculating unit 13 includes a variance-covariance-matrix generator unit 131 that generates a variance-covariance matrix based on the past data, and a random-number generator unit 132 that generates a random number following the probability distribution based on the variance-covariance matrix.

Abstract: According to one embodiment, a demand prediction apparatus includes an input device configured to input data for prediction of a demand at a demand prediction target time and a prediction result of a demand at a predetermined time before the demand prediction target time as a portion of input data for prediction of the demand at the demand prediction target time when demands at a plurality of times in a day are predicted in prediction of time-series data of a demand in a future and a demand prediction operation processing unit configured to calculate a prediction value of the demand at the demand prediction target time using an input result given with the input device are provided.