基于混合算法的多目标配电网重构

配电网重构是配电管理系统的重要内容，从本质上讲，它是一个非线性组合优化问题，若采用传统的遗传算法处理，由于其易于陷入局部最优解和随着配电网规模的扩大搜索效率低的问题，难以得到理想结果。提出一种混合算法来处理配电网重构问题，根据遗传算法和粒子群算法各自的原理特点，将遗传算法和粒子群算法相结合，充分地利用粒子群算法的快速性、随机性、全局收敛性，较好地解决了遗传算法用于配电网重构时的缺点和不足。理论分析和算例表明，该方法高效可行，适合配电网自动化的实际应用要求。

Distribution network reconfiguration is an important aspect of distribution management system, and in essence, it is a non - linear combinatorial optimization problem. If using the traditional genetic algorithm to deal with it, because it is prone to fall into local optimal solution and due to the low search efficiency with the expansion of distribution network, it is difficult to obtain the desired result. A hybrid algorithm is presented to deal with the issues of distribution network reconfiguration based on the respective characteristics of genetic algorithm and particle swarm optimization algorithm, which combines the ge- netic algorithm and the particle swarm optimization algorithm, and fully uses the advantages of particle swarm optimization al- gorithm such as fast, stochastic and global convergence, so as to better solve the shortcomings and deficiencies when the genet- ic algorithm is applied in distribution network reconfiguration. Theoretical analysis and the examples show that the proposed method is feasible and efficient, and it well meets the requirements of the actual distribution automation.