CXSparse-Based Differential Algebraic Equation Framework for Power System Simulation

Simulation is the major approach in power system studies for prototyping new devices, evaluating new scenarios, and implementing new controls. Such a simulator relies on a framework for the dynamic memory management of internal variables. Our work presents a C-based framework that significantly reduces overhead with reduced object conversion and improved matrix storage techniques. Optimized sparse matrix add and set methods take advantage of indexing characteristics of power system equations, avoiding reconstruction of matrices within the framework if possible. Evaluation of the proposed methods substantiates the efficiency and utility of our framework in a differential algebraic equation solver.

仿真是用于制定新设备，评估新场景和实施新控制的电力系统研究的主要方法。这样的模拟器依靠一个框架来用于内部变量的动态内存管理。我们的工作提出了一个基于C的框架，该框架可以通过减少对象转换和改进的矩阵存储技术大大降低开销。优化的稀疏矩阵添加和设置方法利用了功率系统方程的索引特性，避免在框架内重建矩阵。对拟议方法的评估证实了我们框架在差分方程求解器中的效率和实用性。