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Intelligent Optimal and Economic Integration of Renewables in Legacy Power Systems

Intelligent Optimal and Economic Integration of Renewables in Legacy Power Systems
传统电力系统中可再生能源的智能优化和经济整合
批准号:
RGPIN-2015-03735
负责人:
ElHawary, Mohamed
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
本研究项目涉及三个相互关联的主题,旨在提供智能电网工具,提高电力系统对社会的价值。***主题1:下一代经济调度***传统的广义调度扩展了以最经济的方式在可用发电机组之间共享负载需求的概念,包括水力发电以及环境和物理网络目标和约束。针对可再生能源、需求管理资源、动态存储系统带来的挑战,本研究通过研究开发快速优化工具的前景,以帮助系统操作员使用最强大的计算智能工具高效可靠地部署系统资源。***主题2:基于价格信号的用电调度***在低用电需求期降低电价鼓励用户从高用电需求期转移用电。这对电力供应商和用户都是有利的,因为它降低了生产和损失成本、环境影响、延长了寿命和可靠性,同时降低了电力系统资产的资本成本。本研究主题的结果将允许开发基于互联网的工具(应用程序),该工具为电力消费者提供有关何时部署电器以利用有利价格信息的建议。作为回报,电力供应商将有权访问用户的消费模式。***主题3:自适应电能质量评估和缓解***以电压波畸变为标志的劣质电能降低了电力设备和电器的性能,其表现为运行噪声、过热、运行缓慢,长时间使用导致设备的预期寿命缩短。低质量的电力是不可避免的,因为它是由现代功率半导体器件在住宅,商业和工业负载中发现的。可再生能源,如太阳能集热器、风能和海洋发电,使用电力调节设备,向电源注入扭曲。***本研究计划的这一部分旨在创建快速诊断工具,检测质量差的信号的存在,并注入补救电力信号,通过连接整个系统的有源电力调节设备减少有害的失真。最终目标是设计经济上可访问的设备,提高配电级的电能质量
英文摘要
This research program deals with three interrelated themes that aim to offer smart grid tools that enhance the value of the electric system to society.***Theme 1: Next Generation Economic Dispatch***Conventional generalized dispatch extends the concept of sharing the load requirements among available generating units in the most economical way to include hydro generation as well as environmental and physical network objectives and constraints. The proposed research responds to the challenges introduced by renewable energy resources, demand management resources, dynamic storage systems, by investigating the prospects for developing fast optimization tools to assist system operators in deploying system resources to run efficiently and reliably using the most robust computational intelligence tools..***Theme 2: Price Signal-based Appliance Dispatch ***Reducing electricity prices during low demand periods encourages users to shift their consumption away from high demand periods. This is beneficial for both power provider and user because it lowers production and loss costs, environmental impact, and increases life and reliability while reducing capital costs of power system assets. The outcome of this research theme will allow the development of an internet-based tool (app) that provides suggestions to the electricity consumer as to when to deploy appliances to take advantage of favorable pricing information. In return, the power provider will have access to the subscribers' consumption patterns. ***Theme 3: Adaptive Power Quality Evaluation and Mitigation***Poor quality electricity signified by distorted voltage waves degrades the performance of electric power equipment and appliances indicated by noisy operation, overheating, sluggish operation, and prolonged use results in reduced life expectancy of the apparatus. Low quality power is unavoidable as it is caused by modern power semiconductor devices found in residential, commercial and industrial loads. Renewable energy sources such as solar collectors, wind-and marine based generation use power conditioning equipment that inject distortion into the power supply.***This part of this research program is designed to create fast diagnostic tools that detect the presence of poor quality signals and inject remedial power signals that reduce the harmful distortion using active power conditioning equipment connected throughout the system. The ultimate goal is to design economically accessible devices that enhance power quality at the distribution level.**
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Intelligent Optimal and Economic Integration of Renewables in Legacy Power Systems
  • 批准号:
    RGPIN-2015-03735
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2017
  • 负责人:
    ElHawary, Mohamed
  • 依托单位:
Intelligent Optimal and Economic Integration of Renewables in Legacy Power Systems
  • 批准号:
    RGPIN-2015-03735
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2016
  • 负责人:
    ElHawary, Mohamed
  • 依托单位:
Intelligent Optimal and Economic Integration of Renewables in Legacy Power Systems
  • 批准号:
    RGPIN-2015-03735
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2015
  • 负责人:
    ElHawary, Mohamed
  • 依托单位:
Optimal and economic operation of electric power systems
  • 批准号:
    1491-2009
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2014
  • 负责人:
    ElHawary, Mohamed
  • 依托单位:
海外基金