Improved butterfly algorithm-based reactive power optimization method for power distribution network containing distributed power supply

Abstract

The invention belongs to the technical field of power systems, and particularly relates to an improved butterfly algorithm-based reactive power optimization method for a power distribution network containing a distributed power supply. Comprising the following steps: step 1, considering a power distribution network containing a distributed power supply, and establishing a reactive power optimization mathematical model of the low-voltage power distribution network containing the distributed power supply; step 2, acquiring node data of the power distribution network system, selecting a node position where a reactive power compensation device is placed, and setting the number and value range of control variables; 3, initializing a butterfly population; 4, the fitness value of each butterfly in the solution space is calculated, and the optimal butterfly at the moment and the position of the optimal butterfly are found; 5, calculating the concentration of fragrance emitted by each butterfly; step 6, selecting a search mode; and 7, if the requirements are met, outputting an optimal value and parameters. The method is small in calculation amount, simple in process and easy to implement, reactive power optimization results can be obtained in time, and the searching capability is greatly improved. The system network loss is effectively reduced, the node voltage quality is improved, and the system operation cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a reactive power optimization method for a distribution network with distributed power sources based on an improved butterfly algorithm. Background technique [0002] With the rapid development of our country's national economy and the rapid increase of power load and grid capacity, the economic operation of power grid has been paid more and more attention by the power sector. The low-voltage distribution network still has the actual situation of serious three-phase imbalance, low voltage qualification rate and low power factor. Especially in recent years, the new energy represented by distributed power has been widely concerned and developed rapidly. The higher and higher penetration rate of distributed power in the distribution network will cause the reactive power optimization of the distribution network to become more and more The optimization of reactive p...

AI Technical Summary

Problems solved by technology

For solving methods, traditional methods generally include gradient method, quadratic programming method, Newton method and interior point method, etc., but these methods have strict mathematical definitions and are not suitable for solving complex mathematical models

Modern intelligent methods generally include heuristic search methods such as genetic algorithms and particle swarms. Although these heuristic search methods do not depend on the nature and gradient information of the objective function, most of them have a large amount of calculation, complex process and optimization accuracy. Not suitable for real-time regulation during distribution network operation

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