US-Nigeria Cooperative Research: Computational Intelligence Techniques for Reactive Power / Voltage Control of Large Power Systems

美国-尼日利亚合作研究:大型电力系统无功功率/电压控制的计算智能技术

基本信息

项目摘要

Venayamagoorthy0322894Around the world the demand for electric power is dramatically outpacing available generation and transmission resources. Furthermore, an increasing number of digital users require a higher quality of electricity. Although a number of power system devices are now used to minimize system losses and to improve voltage profiles of the power grid, the response of these power system devices with the existing control is slower than the rate at which changes in the system occur. In this joint project a U.S. scientist from the University of Missouri-Rolla and two Nigerian scientists from Abubakar Tafawa Balewa University will apply computational intelligent techniques to improve the control response of these power system devices, thus decreasing system losses and improving system voltage profiles at all times. This project's research collaboration and educational cooperation will be achieved via faculty and student exchanges between the U.S. and Nigeria. Intelligent coordination of power system devices can improve the quality of service, increase efficiency of the power transmission system, and ultimately decrease the overall production cost. The research findings will have broad application and will contribute to enhancing the operation of electric utilities of both developing and developed countries.
Venayamagoorthy 0322894世界各地对电力的需求大大超过了可用的发电和输电资源。此外,越来越多的数字用户需要更高质量的电力。尽管现在使用许多电力系统设备来最小化系统损耗并改善电网的电压分布,但是这些电力系统设备在现有控制下的响应比系统中发生变化的速率慢。在这个联合项目中,来自密苏里-罗拉大学的一名美国科学家和来自阿布巴卡尔·塔法瓦·巴莱瓦大学的两名尼日利亚科学家将应用计算智能技术来改善这些电力系统设备的控制响应,从而降低系统损耗并始终改善系统电压曲线。该项目的研究合作和教育合作将通过美国和尼日利亚之间的教师和学生交流来实现。电力系统设备的智能协调可以提高服务质量,提高输电系统的效率,最终降低整体生产成本。研究结果将有广泛的应用,并将有助于加强发展中国家和发达国家的电力公用事业的运作。

项目成果

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Ganesh Venayagamoorthy其他文献

Ganesh Venayagamoorthy的其他文献

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{{ truncateString('Ganesh Venayagamoorthy', 18)}}的其他基金

Collaborative Research: MoDL: Graph-Optimized Cellular Connectionism via Artificial Neural Networks for Data-Driven Modeling and Optimization of Complex Systems
合作研究:MoDL:通过人工神经网络进行图优化的细胞连接,用于复杂系统的数据驱动建模和优化
  • 批准号:
    2234032
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: CISE-MSI: DP: IIS RI: Research Capacity Expansion via Development of AI Based Algorithms for Optimal Management of Electric Vehicle Transactions with Grid
合作研究:CISE-MSI:DP:IIS RI:通过开发基于人工智能的算法来扩展研究能力,以实现电动汽车与电网交易的优化管理
  • 批准号:
    2318612
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: CISE-MSI: DP: CCF: SHF: MSI/HSI Research Capacity Building via Secure and Efficient Hardware Implementation of Cellular Computational Networks
合作研究:CISE-MSI:DP:CCF:SHF:通过安全高效的蜂窝计算网络硬件实现进行 MSI/HSI 研究能力建设
  • 批准号:
    2131070
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: Planning Grant: I/UCRC for Real-Time Intelligence for Smart Electric Grid Operations (RISE)
合作研究:规划资助:I/UCRC 智能电网运营实时智能 (RISE)
  • 批准号:
    1464637
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: An Intelligent Restoration System for a Self-healing Smart Grid (IRS-SG)
合作研究:用于自愈智能电网的智能恢复系统(IRS-SG)
  • 批准号:
    1408141
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Scalable Intelligent Power Monitoring and Optimal Control of Distributed Energy Systems Using Adaptive Critics
使用自适应批评的分布式能源系统的可扩展智能电力监控和优化控制
  • 批准号:
    1308192
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
AIR Option 2: Research Alliance Situational Intelligence for Smart Grid Optimization and Intelligent Control
AIR选项2:智能电网优化和智能控制研究联盟态势智能
  • 批准号:
    1312260
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: Computational Intelligence Methods for Dynamic Stochastic Optimization of Smart Grid Operation with High Penetration of Renewable Energy
合作研究:可再生能源高渗透智能电网运行动态随机优化的计算智能方法
  • 批准号:
    1232070
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
EFRI-COPN: Neuroscience and Neural Networks for Engineering the Future Intelligent Electric Power Grid
EFRI-COPN:用于设计未来智能电网的神经科学和神经网络
  • 批准号:
    1238097
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
RAPID: Impact of Earthquakes on the Electricity Infrastructure
RAPID:地震对电力基础设施的影响
  • 批准号:
    1216298
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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Adaptation and Feasibility assessment of a primary suicide prevention intervention for school adolescents in Nigeria
尼日利亚学校青少年初级自杀预防干预措施的适应性和可行性评估
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Rape, the State and Society: A Historical Study of Responses to Rape in South-Eastern Nigeria, c. 1940-1990.
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