摘要
本文根据大系统分解与协调理论,提出了一个新的求解电力系统最优机组组合的数学模型,并将这个N维混合整数非线性规划模型降维分解成N个一维子模型,从而可用简单实用的一维动态规划法求解子模型。并借助于协调器进行全局协调优化,求出最优机组组合,克服了应用直接动态规划法遇到的“维数灾”。 电力系统实例计算结果表明,在机时、内存和经济效益等方面,本文方法均明显优于直接动态规划法。
In this paper, a new mathematic model of solving optimal unit commitment of electrio power system is advanced by large scale system decomposition and coordination theory. Then, the N-dimension model of large mixed-integer nonlinear Programming is decomposed to N 1-dimension submodels. They are solved simply using 1-dimension dynamic programming method. At last, the global optimal unit commitment is obtained with the hand of a coordinator. Thus, the curse of dimensionality, which is in standard dynamic programming, is overcome.The computation results of sample system show that the method given by the writer is much better than the standard dynamic programming method not only saving the storage unit and CPU time of computer, but also raising the economic profit of electric power system operation.
出处
《中国电机工程学报》
EI
CSCD
北大核心
1989年第3期51-58,共8页
Proceedings of the CSEE
