梯级电站群短期水火联合经济调度优化方法

针对多约束、非线性、不可微的梯级电站群短期水火联合经济调度优化问题,在标准灰狼算法的基础.上,提出了一种基于改进灰狼算法的梯级电站群短期水火联合经济调度优化方法以处理该复杂优化问题。该算法通过融入纵向交叉操作以修正狼群前进方向,改善算法的全局收敛性;采用一种新型约束处理方法,解决传统差额约束处理方式无法处置的强耦合关系变量的违约问题,提高算法的计算效率。仿真结果表明:该优化方法不仅克服了标准GWO的缺陷,且在求解质量、精度、收敛性和稳定性等方面较其它算法具有明显优势。

Optimization method of short-term hydro and thermal power system combinedeconomic dispatching in cascade hydropower stations

Aiming at the problem of short- term hydro and thermal power system combined economicscheduling optimization for multi constraint, nonlinear and non- differentiable cascade power stationgroups, on the basis of the standard gray wolf optimizer(GWO) algorithm, puts forward the optimizationmethod of short- term hydro and thermal power system combined economic dispatching for cascadepower station groups based on an improved gray wolf algorithm to deal with this complex optimizationproblem. The algorithm corrects the forward direction of the wolves by integrating the longitudinal crossoperation to improve the global convergence. Using a new constraint processing method solves thestrong coupling relation variable default problem which the traditional balance constraint cannot dealwith, improves the computational efficiency of the algorithm. The simulation result shows that thisoptimization method not only overcomes the defects of standard GWO, but also has obvious advantagesin solving the quality, precision, convergence and stability.