Distributed power supply-containing distribution network reactive power planning method based on hybrid intelligent algorithm

Abstract

The invention discloses a distributed power supply-containing distribution network reactive power planning method based on a hybrid intelligent algorithm. Firstly, a random power output model of the distributed power supply is established, a random variable is introduced to represent a wind speed, a distributed power supply-containing reactive power optimization planning problem is used as an uncertain planning problem for research, and a distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is established; and then, by using the good regression generalization performance of a support vector machine, the global optimization feature of an artificial fish swarm algorithm and the local optimization ability of a particleswarm algorithm, the support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are organically combined, a hybrid intelligent algorithm is constructed, a stochasticsimulation technique is used, and the distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is effectively and quickly solved.The support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are effectively combined, the system power flow calculation times are reduced on the premise of meetingthe decision making precision, and the solution speed is improved.

Description

technical field [0001] The invention relates to a reactive power planning method for a distribution network, in particular to a reactive power planning method for a distributed power distribution network based on a hybrid intelligent algorithm. Background technique [0002] In recent years, as the disadvantages of traditional energy forms have become more and more obvious, wind energy, as a green circular energy source, has good environmental protection and economical efficiency. Rapid development. At the same time, when the distributed power generation is connected to the grid, due to the influence of random factors, it is easy to cause changes in the magnitude and direction of the system power flow, which affects the normal operation of the original distribution network equipment, resulting in voltage instability, including reactive power optimization. Optimal control of traditional power systems including planning brings new issues and challenges. [0003] Since the rea...

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Problems solved by technology

Literature [3] proposed a reactive power optimization comprehensive index based on the probability of occurrence of scenarios, taking into account the network loss and static voltage stability margin, and using the genetic algorithm with adaptive weight to solve the problem, but the genetic algorithm with adaptive weight There are still deficiencies in the decision-making accuracy and solution time, and it is difficult to meet the current needs of solving the reactive power planning of the distributed power distribution network.

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