背包问题混合遗传算法在电力恢复中的应用

文章把电力系统的负荷恢复问题建模为带众多约束条件的0-1背包问题,并设计了一种将贪心算法与改进遗传算法结合起来的改进混合遗传算法来对此问题进行求解.该算法的主要特点是具有群体爬山性和利用了郭涛算子的非凸组合技术使算法具有搜索的遍历性.采用此算法可以得到负荷恢复的某一阶段可恢复的最大的负荷量.求解的过程保证了求得的解是满足系统的约束条件,所以系统的负荷恢复过程是安全的.算例的结果表明了该算法的有效性.

Hybrid genetic algorithm for knapsack problem and its application in power system restoration

The article established the optimization model for the load restoration,a zero-one knapsack problem with many safe constraints,and designed a modified hybrid genetic algorithm which combine the greedy algorithm and modify genetic algorithm together to resolve it.The main character of the algorithm is its colony mountain climbing and because of the no protruding combination technology of guotao operator,the algorithm has the characters of global searching.By using this algorithm the maximal restorable loads at one of the stages of the load restoration can be gotten.The process of power system restoration is safe because the algorithm guarantee that the constraint conditions are satisfied.The experiment on a 26-node system is presented and the results show that the algorithm is feasible.