Distributed power supply-containing power distribution network reconstruction method and system based on binary differential evolution algorithm of hybrid strategy

Abstract

The invention discloses a distributed power supply-containing power distribution network reconstruction method and system based on a binary differential evolution algorithm of a hybrid strategy, and the method comprises: building a mathematic model of power distribution network reconstruction, and enabling the minimum network loss of a power distribution network to serve as a target function; determining a node type after the distributed power supply is connected into the power distribution network; encoding the feasible solution of the power distribution network by adopting an improved binaryencoding mode, and initializing a population; selecting different mutation strategies by adopting a comparison mode of a current generation optimal individual and a previous generation optimal individual based on weight, and detecting and repairing an invalid solution appearing after mutation operation; adopting a heuristic self-adaptive crossover probability calculation mode, adopting a harmonysearch strategy to optimize crossover operation, and finally completing the crossover operation in a mode of taking a binary string as an individual; and updating a harmony library strategy by utilizing a harmony search algorithm to complete selection operation. Compared with the prior art, the method and the system have the advantages of high robustness, good optimization performance, low convergence algebra and the like.

Description

technical field [0001] The invention belongs to the technical field of distribution network reconfiguration, and in particular relates to a distribution network reconfiguration method and system with distributed power sources based on a binary differential evolution based mixed strategy (Binary Differential Evolution based Mixed Strategy, BDEMS). Background technique [0002] The distribution network is the last link between the power system and the user, and it plays a vital role in ensuring the normal power supply of the power system. The requirements for the sustainability and renewability of power generation and the economy and reliability of power supply technology are also getting higher and higher. In the power generation mode, distributed generation (Distributed Generation, DG) can provide electricity with the help of renewable energy such as wind energy and solar energy. Although compared with the traditional concentrated hydropower and thermal power generation, wi...

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Problems solved by technology

However, the distribution network reconfiguration problem is a discrete combinatorial optimization problem, and the direct application of the traditional DE algorithm to solve the distribution network reconfiguration problem has the problem that the solution vector is difficult to correspond to the objective function.

Further use of the DE algorithm optimized by binary coding, that is, Binary Differential Evolution (BDE), although it can improve the ability of the DE algorithm to solve discrete problems, but the traditional way of initializing the population with binary coding also has multiple individuals corresponding to the same The solution vector causes the algorithm to generate a large number of redundant searches; the traditional mutation operation generates a large number of invalid solutions, resulting in poor calculation performance of the algorithm, and the imbalance between the global search ability and local search ability of the mutation operation leads to low optimization performance of the algorithm; the traditional binary The encoding method may lead to defects such as the reduction of population diversity after the crossover operation

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