Multi-type distributed power supply optimal configuration method based on immune particle swarm algorithm

Abstract

The invention discloses a multi-type distributed power supply optimal configuration method based on an immune particle swarm algorithm. The multi-type distributed power supply optimal configuration method comprises the following steps of: the step 1: inputting parameter data of an optimized configuration target function, and initializing parameters; the step 2: generating initial positions xi and speeds vi of the M particles by logistic regression analysis mapping to form an initial particle group P0; the step 3: calling a load flow calculation program to calculate the adaptive value F of the particles in the current particle group P0; the step 4: determining whether an algorithm result meets the calculation precision D or not, if yes, ending the steps and outputting the result, or else, performing the next step; the step 5: updating the local and global optimal solutions and updating the position and speed of the particles according to the following formula as shown in the description; the step 6: generating N new particles by logistic regression analysis mapping to form a new N+M particle population; and the step 7: selecting N proper particles through adoption of a concentration selection mechanism to form a new particle group P, and returning to the step 3 for recalculation. The technical scheme can improve the economic benefit of power grid operation.

Description

Technical field [0001] The invention relates to the field of power systems, and in particular to a method for optimizing configuration of multi-type distributed power sources based on an immune particle swarm algorithm. Background technique [0002] As the penetration rate of distributed power sources in the power system is getting higher and higher, the access location and capacity of distributed power sources have a certain impact on the line flow, network loss, node voltage and reliability of the traditional distribution network. . The access of distributed power sources to the distribution network may have positive or negative effects. If the location and capacity of distributed power sources are properly planned, the quality and reliability of the power supply of the system can be improved, that is, the positive effects will be enhanced and the negative effects will be reduced. ; At the same time, it can reduce installation, operation and maintenance costs, so that reliabil...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the distributed power is treated as a PQ type DG and the power injected into the distribution network is optimized under the condition of a given power factor in the current research on the site selection and constant capacity of the distributed power. , proposed a multi-type distributed power optimization configuration method based on the immune particle swarm optimization algorithm, using the power factor of the PQ type DG, the voltage amplitude of the PV type DG and the current amplitude of the PI type DG as optimization variables, and the network loss The minimum cost is the optimization goal, a model for comprehensive optimization of the grid-connected position and operating parameters of multi-type distributed power sources, and the immune-based hybrid particle swarm optimization algorithm is used to solve the model, so that the power grid system operates with the highest efficiency

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