Next generation electromagnetic transient simulation tool for large-scale power systems with detailed equipment models
用于大型电力系统的下一代电磁暂态仿真工具,具有详细的设备模型
基本信息
- 批准号:515592-2017
- 负责人:
- 金额:$ 6.67万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Electrical power systems are the largest man-made geographically distributed nonlinear structures that are**composed of a variety of equipment such as generators, transformers, transmission lines, customer loads,**spanning thousands of kilometers. Electromagnetic transient simulation (EMT) tools are used analyze and**solve major operational and control problems in power systems. EMT simulation of large-scale power systems**consumes so much computational power that parallel programming techniques are urgently needed in this area.**Currently available EMT simulation tools were designed to run on single-core CPUs, and therefore, cannot**take advantage of the multi-core CPUs and many-core graphics processors (GPUs) to manage computational**load. Massive-thread computing is one of the key developments that can increase the EMT computational**capabilities substantially when the processing unit has enough hardware cores. The aim of this project is to**develop a host of innovations towards implementing a parallel massive-thread EMT simulator for large-scale**power systems on the GPU and multi-core CPU hardware architectures. The main features of this work is to**design and build massive-thread models for various power system and power electronic components, finite**element and finite difference time domain models, efficient numerical algorithms, advanced data analysis and**visualization, and validation of the simulator.**The project results are expected to prove the feasibility of a functional parallel massive-thread EMT simulator**that can achieve computational speed-up in large-scale system simulation while using very detailed system**component models. The main beneficiary of this project will be Manitoba HVDC Research Centre (MHRC)**which can integrate the developed innovations into their flagship EMT simulation tool PSCAD/EMTDC. The**experienced team of highly qualified engineers trained in this project will contribute to the ongoing**advancement of the EMT simulation technology and may prove to be valuable future employees for MHRC.
电力系统是最大的人造地理分布非线性结构,由各种设备组成,如发电机、变压器、输电线路、客户负载,跨越数千公里。电磁暂态仿真(EMT)工具用于分析和解决电力系统中的主要运行和控制问题。大型电力系统的EMT仿真需要大量的计算能力,因此迫切需要并行编程技术。**目前可用的EMT仿真工具被设计为在单核cpu上运行,因此,不能**利用多核cpu和多核图形处理器(gpu)来管理计算负载。当处理单元拥有足够的硬件内核时,大规模线程计算是能够显著提高EMT计算能力的关键发展之一。该项目的目的是开发一系列创新,以实现在GPU和多核CPU硬件架构上的大规模电源系统上的并行大线程EMT模拟器。本工作的主要特点是设计和构建各种电力系统和电力电子元器件的大线程模型、有限元和时域有限差分模型、高效的数值算法、先进的数据分析和可视化以及仿真器的验证。**项目结果有望证明一个功能并行的大线程EMT模拟器**的可行性,该模拟器可以在使用非常详细的系统组件模型的情况下实现大规模系统仿真的计算加速。该项目的主要受益者将是马尼托巴HVDC研究中心(MHRC)**,该中心可以将开发的创新技术集成到其旗舰EMT模拟工具PSCAD/EMTDC中。经验丰富的高素质工程师团队在这个项目中接受了培训,将为EMT模拟技术的持续发展做出贡献,并可能成为MHRC未来有价值的员工。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Dinavahi, Venkata其他文献
Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid
- DOI:
10.1109/tpwrd.2020.3022750 - 发表时间:
2020-12-01 - 期刊:
- 影响因子:4.4
- 作者:
Liu, Qin;Liang, Tian;Dinavahi, Venkata - 通讯作者:
Dinavahi, Venkata
Robust Forecasting-Aided State Estimation for Power System Against Uncertainties
针对不确定性的电力系统鲁棒预测辅助状态估计
- DOI:
10.1109/tpwrs.2019.2936141 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:6.6
- 作者:
Wang, Yi;Sun, Yonghui;Dinavahi, Venkata - 通讯作者:
Dinavahi, Venkata
Multi-group particle swarm optimisation for transmission expansion planning solution based on LU decomposition
- DOI:
10.1049/iet-gtd.2016.0923 - 发表时间:
2017-04-20 - 期刊:
- 影响因子:2.5
- 作者:
Huang, Shengjun;Dinavahi, Venkata - 通讯作者:
Dinavahi, Venkata
FPGA-Based Real-Time Wrench Model of Direct Current Driven Magnetic Levitation Actuator
基于FPGA的直流驱动磁悬浮执行器实时扳手模型
- DOI:
10.1109/tie.2018.2811364 - 发表时间:
2018-12-01 - 期刊:
- 影响因子:7.7
- 作者:
Xu, Fengqiu;Lv, Yun;Dinavahi, Venkata - 通讯作者:
Dinavahi, Venkata
Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks
- DOI:
10.1109/tste.2017.2774195 - 发表时间:
2018-07-01 - 期刊:
- 影响因子:8.8
- 作者:
Shi, Zhichao;Liang, Hao;Dinavahi, Venkata - 通讯作者:
Dinavahi, Venkata
Dinavahi, Venkata的其他文献
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{{ truncateString('Dinavahi, Venkata', 18)}}的其他基金
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
RGPIN-2017-03733 - 财政年份:2021
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Individual
Next generation electromagnetic transient simulation tool for large-scale power systems with detailed equipment models
用于大型电力系统的下一代电磁暂态仿真工具,具有详细的设备模型
- 批准号:
515592-2017 - 财政年份:2020
- 资助金额:
$ 6.67万 - 项目类别:
Collaborative Research and Development Grants
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
RGPIN-2017-03733 - 财政年份:2020
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Individual
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
RGPIN-2017-03733 - 财政年份:2019
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Individual
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
507961-2017 - 财政年份:2019
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
RGPIN-2017-03733 - 财政年份:2018
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Individual
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
507961-2017 - 财政年份:2018
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Next generation electromagnetic transient simulation tool for large-scale power systems with detailed equipment models
用于大型电力系统的下一代电磁暂态仿真工具,具有详细的设备模型
- 批准号:
515592-2017 - 财政年份:2017
- 资助金额:
$ 6.67万 - 项目类别:
Collaborative Research and Development Grants
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
507961-2017 - 财政年份:2017
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Real-Time Digital Simulation and Control of Multi-Terminal Direct Current Grids
多端直流电网实时数字仿真与控制
- 批准号:
RGPIN-2017-03733 - 财政年份:2017
- 资助金额:
$ 6.67万 - 项目类别:
Discovery Grants Program - Individual
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