Collaborative Research: Computationally Efficient Solvers for Power System Simulation

mariesa Crow，电气工程，密苏里科技大学，maggie Cheng，计算机科学，密苏里科技大学，shuwang Li，应用数学，伊利诺伊理工学院摘要：在各个领域计算方法的最新进展使实时动态仿真的目标近在咫尺。不幸的是，由于结果从一个领域渗透到另一个领域的时间滞后，许多电力系统分析工具没有使用实现最先进解决方案技术的算法。因此，有必要汇集最好的数学家、计算机科学家和电力工程师来解决现实问题。在这个项目中，计算效率的解决方法将协同发展，并应用于实现实时电力系统仿真的问题。具体来说，计算科学和理论计算机科学的最新进展将扩展到电力网络问题。智能优势：实时仿真一直被认为是电力工程领域的一大挑战。一个实际规模的电力网络问题可以产生数百个动态状态变量和50,000多个代数状态。一些电力系统仿真的计算复杂性使得时域仿真无法用于在线决策。如果模拟可以实时运行，那么电力系统操作员将具有态势感知能力，并可以实施在线控制以避免连锁故障。该工具将帮助运营商采取主动措施，限制事故的范围，并显著提高电力系统的可靠性。该项目将利用各种物理领域的线性求解器领域的专业知识和进步，并将其用于电力系统仿真。更广泛的影响：该项目将为培养电力系统、计算机算法和应用数学方面的多样化STEM劳动力提供机会。pi、研究生和博士后将建立密切的指导关系，包括一对一的指导，不仅包括计算方法，还包括伦理研究实践、沟通技巧和国际意识。这项研究的结果将被纳入多个研究生课程：电力系统的计算方法和近似算法。pi还将开发本科课程材料和大学预科实践项目。

Collaborative Research: Computationally Efficient Solvers for Power System SimulationMariesa Crow, Electrical Engineering, Missouri University of Science & TechnologyMaggie Cheng, Computer Science, Missouri University of Science & TechnologyShuwang Li, Applied Mathematics, Illinois Institute of TechnologyAbstract: Several recent advances in computational methods in a variety of fields have brought the goal of real-time dynamic simulation within reach. Unfortunately, many power system analysis tools do not use algorithms that implement state-of-the-art solution techniques due to the time lag of results percolating from one field to another. Therefore, there is a need to bring together the best of the mathematicians, computer scientists, and power engineers to solve realistic problems. In this project, computationally efficient solution methods will be synergistically developed and applied to the problem of achieving real-time power system simulation. Specifically, recent advances in computational science and theoretical computer science will be extended to the problem of electric power networks. Intellectual Merit: Real-time simulation has long been considered to be a grand challenge in electric power engineering. A realistically sized electric power network problem can generate hundreds of dynamic state variables and 50,000+ algebraic states. The computational complexity of some power system simulations has kept time domain simulation from being used in on-line decision making. If simulations could run in real-time, then power system operators would have situational awareness and could implement on-line control to avoid cascading failures. This tool will assist the operator with proactive measures to limit the extent of the incident, and can significantly improve power system reliability. This project will exploit the expertise and advances in areas of linear solvers from a variety of physical fields and will adapt them for use in power system simulation.Broader Impact: This project will provide an opportunity for educating a diverse STEM workforce in electric power systems, computer algorithms and applied mathematics. The PIs, the graduate students, and the post-doctoral fellow will enter into a close mentoring relationship that will include one-on-one instruction not only in computational methods, but also ethical research practices, communication skills, and international awareness. The results of this research will be incorporated into multiple graduate classes: Computational Methods for Power Systems andApproximation Algorithms. The PIs will also develop undergraduate course material and pre-college hands-on projects.