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DG (DataGuard) optimal configuration application method based on shuffled frog-leaping particle swarm

A technology for optimizing configuration and application methods, applied in data processing applications, instruments, calculation models, etc., can solve the problems of standard particle swarm optimization algorithm falling into local optimum and slow convergence speed, so as to improve search speed and accuracy, reduce power grid, etc. Efficient carbon emission, improving economy and voltage quality

Active Publication Date: 2017-06-13
STATE GRID FUJIAN ELECTRIC POWER CO LTD +2
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Problems solved by technology

[0006] The purpose of the present invention is to provide a DG optimization configuration application method based on hybrid leapfrog particle swarm, which effectively solves the shortcomings of standard particle swarm algorithm that is easy to fall into local optimum and slow convergence speed

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  • DG (DataGuard) optimal configuration application method based on shuffled frog-leaping particle swarm
  • DG (DataGuard) optimal configuration application method based on shuffled frog-leaping particle swarm
  • DG (DataGuard) optimal configuration application method based on shuffled frog-leaping particle swarm

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Embodiment Construction

[0047] Attached below Figure 1-4 , the technical solution of the present invention is described in detail.

[0048] like figure 1 As shown, a DG optimization configuration application method based on hybrid leapfrog particle swarms of the present invention, the method is specifically as follows,

[0049] S1. Initialization: Input the original parameters of the line, generate initial particles in the defined domain, and set the particle velocity factor and inertia weight, as well as the power factor of the distributed power grid connection;

[0050] S2. Establish an optimal configuration model for distributed power sources according to requirements, and limit the total active capacity of distributed power sources in the system;

[0051] S3. The improved particle swarm algorithm based on hybrid leapfrog performs optimal configuration calculation: simulate each particle, obtain the operating parameters including system node voltage and line loss after each particle is connecte...

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Abstract

The invention relates to a DG (DataGuard) optimal configuration application method based on a shuffled frog-leaping particle swarm. The method comprises the following steps that: firstly, on the basis of considering a traditional distributed power optimal configuration target, bringing the environment cost of a distributed power into an evaluation index, wherein established optimal configuration model target functions comprise the investment cost, the operation cost, the network loss cost, the electricity purchasing cost and the environment cost of the distributed power; and then, utilizing an improved particle swarm algorithm based on shuffled frog-leaping to carry out model optimization, putting forward a method that the local search strategy of an artificial bee colony is fused into a standard particle swarm algorithm to search a new solution for the first time, then, utilizing the shuffled frog-leaping algorithm to update worst particles in a population, and finally, solving an optimal solution condition which meets DG grid connection. By use of the method, the defects that the standard particle swarm algorithm is likely to fall in local optimization and convergence speed is low are effectively solved.

Description

technical field [0001] The invention relates to the field of distributed power supply optimization configuration, in particular to an application method for DG optimization configuration based on hybrid leapfrog particle swarms. Background technique [0002] With the continuous development of social economy, the country's demand for energy is getting higher and higher, and the traditional mode of mainly relying on fossil energy for power generation can no longer meet the existing environmental protection requirements. Compared with traditional fossil energy, distributed power generation has the characteristics of energy saving, environmental protection, flexible configuration, and high energy utilization rate. However, the connection of large-scale distributed power generation to the distribution network will have an impact on system power flow, power quality, and power supply reliability. Therefore, reasonable DG site selection and capacity allocation are of great significa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06Q50/06
CPCG06N3/006G06Q50/06
Inventor 郑洁云张林垚刘丽军刘俊
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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