基于改进纵横交叉算法的电网最优潮流计算

纵横交叉算法（crisscross optimization algorithm, CSO）已应用于解决电网中的多种复杂问题并取得了较好的效果。在CSO算法基础上，提出了一种快速收敛的改进纵横交叉算法（faster crisscross optimization algorithm, FCSO）求解最优潮流问题。该改进算法在原有的双交叉算子的基础上提出了一个全新的算子——中心交叉算子，此算子与横向交叉算子以一定的规律交替进行，种群中每个个体依次与当前最优个体执行交叉操作后再执行竞争算子，有选择地向当前全局最优个体靠拢，以提高单次搜索的质量，加速收敛。在IEEE118节点系统上的仿真结果表明，CSO较同类的群智能优化算法有着收敛精度高、稳定性强的特点，而FCSO能在不损失收敛精度的条件下显著加快收敛速度，大幅缩短寻优时间，为纵横交叉算法应用于实际电网实时调控领域提供了更多的可能。

Optimal Power Flow Calculation with Improved Crisscross Optimization Algorithm

Crisscross optimization algorithm (CSO) has been applied to solve many complex problems in power system and remarkable results have been achieved. On this basis, a faster crisscross optimization algorithm (FCSO) is proposed to solve the optimal power flow problem. In this algorithm, a new operator—the central crossover operator is proposed based on the original double-crossover operator, which alternates with the crossover operator in a certain pattern; each individual in the population performs a crossover operation with the current optimal individual in turn, and then executes a competition operator to selectively move closer to the global optimal individual, thus improving the quality of each iteration and accelerating convergence. The simulation results in an IEEE-118 bus system show that, compared to other swarm intelligence optimization algorithms, the CSO has the advantage of high convergence accuracy and strong stability, while the FCSO can significantly improve the convergence speed and greatly shorten the consuming time without losing the convergence accuracy, which provides more possibilities for applying the CSO to the real-time control of the power grid.