含风电电力系统动态经济调度的差分纵横交叉优化

由于风电具有随机性和波动性的特点，大规模风电并网使得电力系统经济调度更加复杂。结合参数自适应差分算法（ADE ）和纵横交叉优化算法（CSO ）各自的优点，提出一种自适应差分纵横交叉（ADE-CSO ）混合智能优化算法。为了满足负荷平衡等式约束和机组功率爬坡约束，提出一种启发式约束处理方法。在接入风电的5 机系统上对ADE-CSO 算法进行仿真，并与4 种其他智能优化算法进行比较。实验结果表明，提出的算法具有良好的优化性能和全局收敛性能，是一种求解含风电场电力系统动态经济调度的有效方法。

Adaptive Differential Crisscross Optimization Algorithm for Dynamic Economic Emission Dispatch Considering Wind Power

Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and compared with four other intelligent optimization algorithms. The experiment results show that the proposed ADE-CSO has good optimization performance and global convergence ability, and is an effective algorithm to the dynamic economic emission dispatch.