Joint control method of primary frequency modulation for doubly-fed wind power generation set

Abstract

The invention discloses a joint control method of a primary frequency modulation for a doubly-fed wind power generation set, which comprises the steps of performing the on-line optimal design on the PD (proportional derivative) controller parameter by using continuous Hopfield neural network so as to build a neutral controller with relatively strong self-adaptability and realize the joint control of the rotor kinetic energy and backup power; using the minimum frequency change as the target function so that the network weight corresponds to the variable of the system state, and using the output of the neuron as the parameter of the PD controller; obtaining the change rule of the parameter by combining the target function expression and the energy function expression, and further seeking for the stable output according to the rule. By using the PSCAD (power system computer aided design) / EMTDC (electromagnetic transient in DC system) simulation platform, the method of the invention simulates and researches the neural joint control strategy in details, and compares with the traditional frequency control strategy; and the result shows that the Hopfield neural joint control has a better primary frequency modulation control effect.

Description

technical field [0001] The invention relates to a primary frequency modulation control method of a doubly-fed wind power generating set, which is used for researching and improving the frequency stability of a power system by using the control of a wind power generator, and belongs to the technical field of wind power generation. Background technique [0002] In recent years, the development and utilization of renewable energy has attracted more and more attention from all over the world. Wind energy, as a sustainable new energy, has become a promising green energy due to its non-pollution and renewability. . Compared with tidal energy, solar energy and other energy sources, wind energy has the highest utilization rate and is competitive with conventional power generation methods. Therefore, in recent years, my country's wind power industry has developed rapidly, and the installed capacity of wind power has continued to increase. [0003] In wind power generation technolog...

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Problems solved by technology

[0006] Traditional control modes, including rotor kinetic energy control, standby power control, and common joint control, all need to establish an effective system mathematical model, and for DFIG wind turbines, due to the uncertainty of wind speed and the complexity of power electronic models, the model It tends to be nonlinear and time-varying, and it is very difficult to establish a set of detailed and complete mathematical models; on the other hand, the control parameters of traditional control methods are generally determined artificially based on experience, which is highly subjective, and the change of control parameters has great influence on The control characteristics of the system are greatly affected, so the robustness of the obtained control parameters is poor

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