电力系统线性化动态最优潮流模型

电力系统在线经济运行计算亟需可快速获取完整调度信息的线性化动态最优潮流模型。基于系统关联矩阵将节点功率平衡方程解耦为线路功率流和损耗流两部分,对损耗流部分进行等价代换,并消去方程中的三角函数项,采用泰勒级数法对残存的非线性项进行线性化处理,建立起可以同时求解电压幅值和线路无功功率的线性化动态最优潮流模型。基于简化原对偶内点法对所建模型进行求解,在迭代过程中不断更新泰勒级数法所需的基准点信息,以提高模型的计算精度。IEEE 30节点、IEEE 118节点、IEEE 300节点以及某市117节点等值系统的算例测试表明,所建线性化模型能在获取更完备调度信息的同时仍具有较高的计算精度和求解效率。

Linearized Dynamic Optimal Power Flow Model for Power System

The online economic operation calculation of power systems urgently needs a linearized dynamic optimal power flow model which can get the complete scheduling information quickly. Based on the system incidence matrix, the nodal power balance equations are decoupled into two parts, i. e. power flow and loss flow of lines. To obtain the linearized dynamic optimal power flow model, which can simultaneously get the voltage amplitude and the reactive power of the lines, the loss flow is firstly substituted with its equivalent and the trigonometric functions within the equations are eliminated, then the remaining nonlinear terms are linearized by the Taylor series method. The model is solved by the simplified dual interior point method. To further improve the accuracy of the proposed model, the datum point information required by the Taylor series method is constantly updated in the iterative process. The test results of IEEE 30-node, IEEE 118-node, IEEE 300-node power systems and the 117-node equivalent system of a city verify that the proposed model can obtain more complete scheduling information while keep high accuracy and computational efficiency.