MMC (modular multilevel converter)-HVDC (high-voltage direct-current) system control parameter optimization method
An MMC-HVDC, control parameter technology, applied in the field of power system control parameter optimization, can solve problems such as reducing efficiency and increasing workload, and achieves the effects of improving convergence, high degree of integration, and improving global search capabilities
Active Publication Date: 2017-09-15
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Proportional-integral (PI) controllers are widely used in practical engineering due to their advantages of fast adjustment, simple structure, easy-to-understand parameter definitions, and easy implementation. However, trial-and-error methods are often used in engineering to obtain parameters, which has a certain degree of blindness. , may increase workload and reduce efficiency
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[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific examples, but the protection scope of the present invention is not limited to the following examples.
[0050] The invention proposes a method for optimizing the control parameters of the MMC-HVDC system, which jointly calls PSCAD and MATLAB to optimize the control parameters of the MMC-HVDC system.
[0051] Step 1. Build a single-ended 101-level MMC-HVDC system in PSCAD to optimize the PI parameters of its control system, such as figure 1 As shown, the half-bridge detailed equivalent model and the nearest level approach modulation method are adopted, and the constant active power and constant reactive power operation modes are adopted. Its operating parameters are: the set value of active power is 100MW, the set value of reactive power is 30Mvar, the number of sub-modules of each bridge arm is 100, the capacitance value of the half-bridge sub-module is 0.03F...
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The invention belongs to the power system model simulation and control field and relates to an MMC (modular multilevel converter)-HVDC (high-voltage direct-current) system control parameter optimization method. According to the method, an MMC-HVDC simulation model is constructed on the PSCAD, so that a fitness value can be calculated; an improved multi-objective particle swarm algorithm operates on the MATLAB so as to optimize the PI parameters of an MMC-HVDC control system; hierarchical optimization is performed on the plurality of PI controller parameters; and in the iteration process of the algorithm, obtained non-dominated solutions are added to an external memory, mutation operation is performed on the locations of all particles in the external memory, and the external memory is updated, and a membership function-based leading particle selection method is put forward. According to the method of the invention, with the characteristics of the basic multi-objective particle swarm algorithm reserved, the mutation operation is adopted, and therefore, the diversity of the particles can be increased, and the global search ability of the algorithm can be improved; and the membership function-based leading particle selection method can improve the convergence of the algorithm.
Description
technical field [0001] The invention belongs to the technical field of power system control parameter optimization, and in particular relates to a method for optimizing control parameters of a modular multilevel converter type high-voltage direct current transmission engineering system by using a multi-objective particle swarm algorithm. Background technique [0002] As a new type of voltage source converter, the modular multilevel converter has received extensive attention since it was proposed. The increase in capacity has many technical advantages due to its modular structure. So far, the modular multilevel converter type HVDC transmission project, namely MMC-HVDC, has been successfully applied at home and abroad, and has attracted much attention. [0003] The multi-module topology and multi-link control strategy make it necessary to consider complex coordinated control in simulation research and engineering practice, so the performance requirements of its control system...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 刘崇茹谢国超徐东旭凌博文王洁聪王嘉钰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)