STTR Phase I: A Fast and Efficient Power System Dynamic Simulator

这一小型企业技术转让(STTR)第一阶段项目的广泛影响/商业潜力包括对全球各行业进行的电力应急分析产生的重大影响。该算法可供电力系统规划单位、运营商、公用事业公司、大学和研究中心使用，并为设计人员、工程师和科学家提供了在进行电网动态仿真时大大减少计算量的机会，特别是在可再生能源和小型发电机渗透率较高的电网中。它允许在更短的时间内进行更多的研究，并显著降低人员和设备成本。此外，该算法是朝着实现实时电力系统分析仪迈出的重要一步，可用于缓解大小电力系统中故障和扰动的不利影响。因此，通过提供对各种可能的意外情况下的系统的快速而准确的分析，所提出的算法潜在地有助于提高现代电力系统的可靠性和弹性。由于电网是每个社会最重要和最基础的基础设施之一，拟议中的项目将直接提高社会福利。这个小企业技术转移(STTR)第一阶段项目将开发一个用于电网动态分析的软件程序。在电力行业中，电网仿真器是评估和分析电网动态行为的重要工具。电网是由数千个变量和方程建立数学模型的大规模网络。分析如此大量的变量和方程是非常耗时的。将间歇性可再生能源以及小规模低惯性发电机集成到现代电网中，使得网络分析变得更加具有挑战性。在所提出的算法(变成软件程序)中，提出了一种新的数学求解器，它大大减少了求解描述电力系统的著名微分-代数方程所需的计算量。该算法有助于减小雅可比矩阵的规模，消除电网动态仿真中的误差环。与现有方法相比，这些改进显著提高了所提出的软件程序在分析电网动态行为方面的速度。初步研究表明，在模拟具有大量发电机的大型电网时，所提出的电网仿真器的运行速度至少比标准的牛顿-拉夫森算法快30倍。

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project includes a significant impact on the electric power contingency analysis conducted by industries around the globe. The proposed algorithm can be used by power system planning units, operators, utility companies, universities, and research centers and provides designers, engineers, and scientists with the opportunity of a considerable reduction in computation efforts in performing power grid dynamic simulations, especially in the grids with high penetration of renewable and small-scale generators. It allows conducting more studies in shorter time and leads to significant personnel and equipment cost reduction. In addition, the proposed algorithm is a significant step forward towards realizing a real-time power system analyzer, which can be used to alleviate the adverse effects of faults and disturbances in small and large electric power systems. Thus, the proposed algorithm potentially helps enhance modern power system reliability and resiliency by providing a fast and accurate analysis of the system under various possible contingencies. As the power grid is one of the most important and fundamental infrastructures in each society, the proposed project will directly enhance social welfare.This Small Business Technology Transfer (STTR) Phase I project will develop a software program for dynamic analysis of power grids. In electric power industries, grid simulators are vital tools to evaluate and analyze dynamic behavior of the grid. Power grids are large-scale networks that are mathematically modeled by thousands of variables and equations. Analysis of such a large number of variables and equations is very time-consuming. Integration of intermittent renewable energy resources as well as small-scale low-inertia generators to modern power grids make the network analysis even more challenging. In the proposed algorithm (to become a software program) a novel mathematical solver is proposed that significantly reduces the computations required to solve the well-known differential-algebraic equations describing power systems. The proposed algorithm contributes to the reduction of the size of the Jacobian matrix and removal of the error loop in the power grid dynamic simulations. These improvements significantly increase the speed of the proposed software program in analyzing dynamic behavior of power grids when compared to the available methods. Preliminary studies show that the proposed power grid simulator can perform at least 30 times faster than the standard Newton-Raphson algorithm when simulating large grids with significant number of generators.