High Performance Computing for Power System Dynamic Simulation

High Performance Computing for Power System Dynamic Simulation
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电力系统动态仿真的高性能计算

DOI:
10.1007/978-3-642-32683-7_2
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发表时间:
2013
期刊:
ACM Comput. Surv.
影响因子:
--
通讯作者:
J. McCalley
J. McCalley
中科院分区:
--
文献类型:
--
作者:
S. Khaitan;J. McCalley

文献摘要

被引文献

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高速扩展项(HSET)时域仿真(TDS)旨在提供非常快速的计算能力来预测扩展项动态系统对扰动的响应并确定校正措施。电力系统的长期动态仿真是有价值的,因为它提供了严格的评估和分析停电,其中可能包括连锁的能力。无论在正常还是非正常情况下,它都对电网安全扩容、提高电力系统的安全性和可靠性具有重要意义。本章介绍了以HSETTDS为核心模块的未来动态安全评估处理系统的设计。电力系统在数学上由微分和代数方程(DAE)系统表示。这些DAE产生于动态组件的建模,例如发电机、励磁机、调速器、自动发电控制、有载分接开关、感应电动机、网络建模等。为了在HSET-TDS中提供非常快速的计算能力,本章激发了对高性能计算(HPC)的需求电力系统动态仿真通过电力系统组件的详细建模和有效的数值算法来解决所产生的DAE。开发的HSET-TDS首先验证商业电力模拟器(PSSE,DSA工具,电力世界)的准确性,然后比较计算效率。本章研究了一些有前途的直接稀疏线性求解器的快速扩展长期时域仿真,并提出了现代电网计算的建议。结果提供了非常重要的见解方面的影响,不同的数值线性求解算法,以提高电力系统TDS。
High-speed extended term (HSET) time domain simulation (TDS) is intended to provide very fast computational capability to predict extendedterm dynamic system response to disturbances and identify corrective actions. The extended-term dynamic simulation of a power system is valuable because it provides ability for the rigorous evaluation and analysis of outages which may include cascading. It is important for secure power grid expansion, enhances power system security and reliability, both under normal and abnormal conditions. In this chapter the design of the envisioned future dynamic security assessment processing system (DSAPS) is presented where HSETTDS forms the core module. The power system is mathematically represented by a system of differential and algebraic equations (DAEs). These DAEs arise out of the modeling of the dynamic components such as generators, exciters, governors, automatic generation control, load tap changers, induction motors, network modeling and so on. To provide very fast computational capability within the HSET-TDS, this chapter motivates the need for high performance computing (HPC) for power system dynamic simulations through detailed modeling of power system components and efficient numerical algorithms to solve the resulting DAEs. The developed HSET-TDS is first validated for accuracy against commercial power simulators (PSSE, DSA Tools, Power- World) and then it is compared for computational efficiency. The chapter investigates some of the promising direct sparse linear solver for fast extended term time domain simulation and makes recommendation for the modern power grid computations. The results provide very important insights with regards to the impact of the different numerical linear solver algorithms for enhancing the power system TDS.