Wind power plant active power scheduling method based on whale swarm algorithm

The invention discloses a wind power plant active power scheduling method based on a whale swarm algorithm. The wind power plant active power scheduling method comprises the following steps: 1, performing training by utilizing a machine learning algorithm to obtain a wind speed-power-pitch angle rel...

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Hauptverfasser: HUANG LINGXIANG, ZENG BING, PENG LANGJUN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a wind power plant active power scheduling method based on a whale swarm algorithm. The wind power plant active power scheduling method comprises the following steps: 1, performing training by utilizing a machine learning algorithm to obtain a wind speed-power-pitch angle relation model; 2, establishing a power scheduling full-field variable-pitch-angle minimization objective function model based on the wind speed-power-pitch angle relation model; 3, solving the minimization objective function by using an improved whale swarm algorithm to obtain an active power target value of each unit; and 4, sending the active power target value of each unit to a fan. Under the condition of ensuring high-precision active power scheduling, the total sum of variable pitch angles ofall the units can be minimized, the fatigue load of variable-pitch bearing and blades is effectively reduced, the safety of the units is improved while the power generation capacity is ensured, and the service lives of the u