摘要
针对电力系统动态无功优化数学模型存在优化过程长、收敛稳定性差的问题,导出了以控制变量增量为求解变量的电力系统动态无功优化的二次规划模型,并以具有有限次迭代收敛的Lemke算法求解,这样的动态无功优化控制计算量小,非常适合于对计算速度和算法稳定性要求高的动态无功优化控制问题.针对控制变量控制次数约束,采用启发式归并方法对其进行约束限制,有效避免了将控制变量动作次数约束纳入优化过程的复杂性.实际算例表明,文中方法不仅运算速度快,且收敛稳定性好.
In the mathematical model of dynamic optimal reactive power,the inefficiency and poor convergence are obvious in the optimization process.A dynamic optimal reactive power model is proposed,where the control variable increments are regarded as the unknown variables and the optimal solution is obtained in finite steps by Lemke algorithm.This dynamic optimal reactive power with a slight computation task is suitable for the higher demand of the computing rate and the algorithm stability in dynamic optimal reactive power control.As to the problem of restricted variable operation times,the heuristic combination algorithm is chosen to restrict the controllable variable and the complexity of putting the variable operation times into the optimization process is avoided.The results demonstrate that the model and method enable to shorten the computing period and obtain the optimal solution in limited steps.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2010年第8期106-111,共6页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(5077073)
关键词
动态无功优化
二次规划
Lemke算法
启发式归并算法
optimal reactive power
quadratic programming
Lemke algorithm
Heuristic combination algorithm
