A distributed wind farm power optimization method and device
A technology for power optimization and wind farms, applied in circuit devices, wind power generation, design optimization/simulation, etc., can solve the problems that the optimization effect cannot meet high efficiency, the calculation process is complicated, and the yaw angle is not considered.
Active Publication Date: 2022-04-01
JIUJIANG UNIV
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Problems solved by technology
[0003] At present, when establishing wind farm power optimization models, most of them only consider the wake effect model of cross-section factor and pitch angle. Since the influence of yaw angle is not considered, the optimization effect cannot meet the requirements of high efficiency; When optimizing the control model of wind farm power, only the centralized wind farm power control model is involved, and the calculation process is complicated
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[0064] The distributed wind farm power optimization method and device provided by the present invention establishes a wind farm power optimization model that conforms to the wind turbine wake effect by analyzing and mastering the spatial variation law of the wake effect, so that it can target the special wake characteristics of the wind farm, The wind turbines are interconnected through the wake effect to build a distributed system control framework. Specifically, the present invention constructs a distributed optimization framework and computationally efficient wake-steering wind farm control strategy that uses the yaw angle of the wind turbines to change the behavior of the wind turbine wakes and minimize the wind turbine wake interactions , to increase the power generation of wind farms.
[0065] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely des...
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The invention discloses a method and device for power optimization of a distributed wind farm. The method comprises: constructing a wake fan power model of a fan in a wind farm; constructing an undirected wind graph of the wind farm according to the wake fan power model and the network topology of the directed graph of the wake; calculate the wake weights between the wind turbines in the wind farm, use the nearest neighbor algorithm of graph theory to perform cluster analysis, and divide the wind farm into multiple groups of clustering sub-groups Wind farms: use the alternating multiplier direction method to establish a distributed wind farm power model to solve the optimal value of power. According to the influence behavior of the yaw angle of the fan on the wake of the fan, the present invention constructs the power model of the wake fan, minimizes the interaction of the wake of the fan, uses a distributed algorithm to realize the optimal control of the power of the wind farm, and establishes a distributed power optimization framework It can reduce the computational complexity and increase the total power generated by the wind farm.
Description
【Technical field】 [0001] The invention relates to the technical field of output power control optimization of large-scale wind farms, in particular to a distributed wind farm power optimization method and device considering the yaw wake effect of wind turbines. 【Background technique】 [0002] With the continuous advancement of wind power generation technology, the capacity of a single wind turbine is increasing. In a larger wind farm, as many wind turbines as possible will be installed to obtain as much power as possible. With wind power The increasing scale of the field and the increasing complexity of the associated models require computationally efficient algorithms to perform real-time optimization and control. At the same time, the modeling and control of the wind farm power model must consider the wake interaction between the wind turbines, and optimize the control parameters such as yaw angle and cross-cut factor to increase the total power of the wind farm. Therefor...
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IPC IPC(8): H02J3/46G06Q50/06G06F30/23
CPCH02J3/466G06Q50/06G06F30/23H02J2203/20H02J2300/28H02J2300/40Y02E10/76Y02E40/70Y04S10/50
Inventor 舒彤余香梅
Owner JIUJIANG UNIV