改进细菌群体趋药性算法在可用输电能力计算中的应用

针对基本细菌群体趋药性(Bacterial Colony Chemotaxis,BCC)算法中存在的缺陷进行改进,在基本BCC算法中引入了带有权重系数的细菌变速公式,使算法能较快收敛在几个最优解周围并进行细致搜索,从而寻找到全局的最优解;引入了细菌感知范围的动态调整机制,提高了算法的寻优精度;引入了记录本,把细菌寻优过程中的最优值暂记在记录本里,从而避免了最优值被随机抛弃的情况。文章建立了基于最优潮流的可用输电能力的计算模型,并运用改进的细菌群体趋药性算法来求解该模型。通过以IEEE-30节点测试系统为例进行仿真计算,并与基本BCC算法的计算结果进行了比较,结果表明IBCC算法能以更快的速度得到最优解,其性能明显优于基本BCC算法。

Improved Bacterial Colony Chemotaxis Algorithm for the calculation of available transmission capacity

For basic Bacterial Colony Chemotaxis (Bacterial Colony Chemotaxis, BCC) the defects existing in the algorithm was improved, with weight coefficient was introduced to the basic BCC algorithm of bacteria change formula, the algorithm can fast convergence around several optimal solution and a detailed search, so as to find the global optimal solution; Introduces the dynamic adjustment mechanism of bacteria perception scope, improve the optimization precision of the algorithm; Introduced the book, the bacteria in the process of optimization, the optimal value of suspense in the book, so as to avoid the optimum abandoned by random. In this paper, based on optimal power flow (OPF) calculation model of the available transmission capacity (ATC), and with the improved BCC algorithm to solve the model. By IEEE - 30 node test system as an example for the simulation calculation, and the calculated results were compared with basic BCC algorithm, the results show that IBCC algorithm can get the optimal solution with faster speed, its performance is superior to the basic BCC algorithm.