Mixed algorithm-based economic operation optimization method for regional power grid

A technology for regional power grids and economic operation, applied in genetic models, information technology support systems, reactive power compensation, etc., can solve problems such as slow calculation speed and falling into local optimal solutions.

Active Publication Date: 2013-04-17
HOHAI UNIV +1
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Problems solved by technology

[0004] The intelligent algorithm is convenient for dealing with discrete variables and has the ability of global optimization, but the calculation speed is slow and may fall into a local optimal solution

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  • Mixed algorithm-based economic operation optimization method for regional power grid
  • Mixed algorithm-based economic operation optimization method for regional power grid
  • Mixed algorithm-based economic operation optimization method for regional power grid

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Embodiment Construction

[0029] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0030] The particle swarm optimization (PSO) optimization algorithm was proposed by Dr. Eberhart and Dr. Kennedy, which originated from the study of bird predation behavior. In the PSO algorithm, each solution of the optimization problem is abstracted as a particle. All particles have a fitness value f determined by the objective function, and a velocity v that determines the direction and distance they fly. Each particle knows the best position pbest found by itself so...

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Abstract

The invention discloses a mixed algorithm-based economic operation optimization method for a regional power grid. The economic operation optimization method for the regional power grid is based on the particle swarm optimization and the prime-dual interior point method. According to the economic operation optimization method for the regional power grid provided by the invention, the intelligent algorithm and the classical algorithm are effectively combined with each other, the discrete variable is optimized by the particle swarm optimization, and the continuous variable optimization and the individual adaptation degree estimation are carried out in each generation of the particle swarm optimization by the prime-dual interior point method, so that the algorithm has the advantages of the convenient variable process of the intelligent algorithm and the high optimization ability of the classical algorithm.

Description

technical field [0001] The invention belongs to the field of power system optimization operation, and in particular relates to a method for optimizing the economic operation of a regional power grid based on a hybrid algorithm. Background technique [0002] The reactive power optimization problem is to achieve the minimum active network loss through the optimal configuration of reactive power compensation devices under the premise of satisfying the system operation constraints. The reactive power flow distribution of the power grid can be optimized through reactive power optimization scheduling, and the active power loss and voltage loss of the power grid can be reduced, thereby improving the voltage quality and using electrical equipment to operate safely and reliably. In ensuring the safety and economy of modern power systems, the importance of optimal dispatch of reactive power has attracted worldwide attention. [0003] For decades, experts and scholars at home and abro...

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Application Information

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IPC IPC(8): H02J3/18G06N3/12
CPCY02E40/30Y02E40/70Y04S10/50
Inventor 卫志农孙国强孙永辉季聪黄向前潘朝阳黄莉莉胡文旺向育鹏
Owner HOHAI UNIV
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