量子粒子群算法在配电网重构中的改进和应用

针对传统算法容易早熟收敛、计算效率低下等缺点，文章提出一种改进量子粒子群算法，并将其应用于含分布式电源的配电网重构问题。文章综合考虑配电网的经济性和可靠性，以有功网损和电压稳定性指标作为目标函数建立配电网重构模型，并对传统算法在全局收敛性、收敛速度和编码策略等方面进行了改进。引入遗传算法中的锦标赛选择策略，扩大种群多样性，提高全局收敛能力；采用混沌公式改进初始种群和扰动适应度值较差粒子，增加计算精度，加快收敛速度；采用十进制环状编码策略并增加拓扑检测步骤，降低不可行解的产生概率，提高运算效率。算例表明，该方法适用于含多种分布式电源的配网重构，能有效地降低网损、改善节点电压和降低电压稳定性指标，且计算精度高，具有一定的实用性。

Improvement and application of quantum particle swarm optimization in distribution network reconfiguration

Aiming at the shortcomings of traditional algorithms, such as premature convergence and low computational efficiency, an improved quantum particle swarm optimization algorithm is proposed and applied to the reconfiguration of distribution network with distributed generation. Considering the economy and reliability of distribution network, this paper establishes the distribution network reconfiguration model with the index of active power loss and voltage stability as the objective function, and improves the global convergence, convergence speed and coding strategy of the traditional algorithm. The tournament selection strategy of genetic algorithm is introduced to expand the population diversity and improve the global convergence ability; chaos formula is used to improve the initial population and the particles with poor fitness value to increase the calculation accuracy and speed up the convergence speed; the decimal ring coding strategy and topology detection steps are adopted to reduce the generation probability of infeasible solutions and improve the operation efficiency. The example shows that this method is suitable for the distribution network reconfiguration with multiple distributed generation, and can effectively reduce the network loss, improve the node voltage and reduce the voltage stability index. Moreover, the calculation accuracy is high and it has certain practicability.