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: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612533
• 关键词: Intelligent; Optimal; Economic; Integration; Renewables

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.

这项研究计划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：新一代经济调度 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分担负荷需求的概念，以包括水力发电以及环境和物理网络目标和约束。拟议的研究通过调查开发快速优化工具的前景来应对可再生能源资源、需求管理资源、动态存储系统带来的挑战，以协助系统运营商部署系统资源，以便使用最强大的计算智能工具高效和可靠地运行。 主题2：基于价格信号的家电派单 在用电需求旺季降低电价，会鼓励用户从用电旺季转向用电。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耗成本、环境影响、提高了寿命和可靠性，同时降低了电力系统资产的资本成本。这一研究主题的结果将使基于互联网的工具(APP)的开发成为可能，该工具向电力消费者提供建议，告诉他们何时部署家用电器，以利用有利的定价信息。作为回报，电力供应商将获得用户的消费模式。 主题3：自适应电能质量评估和缓解 以电压波形失真为标志的劣质电力降低了电力设备和电器的性能，表现为运行噪音、过热、运行迟缓和长时间使用，导致设备的预期寿命缩短。低质量电力是不可避免的，因为它是由住宅、商业和工业负载中的现代电力半导体器件造成的。太阳能集热器、风力发电和船用发电等可再生能源使用的电力调节设备会向电力供应中注入失真。 该研究计划的这一部分旨在创建快速诊断工具，该工具可检测劣质信号的存在，并使用连接整个系统的有源电源调节设备注入可减少有害失真的补救电源信号。最终目标是设计经济上可访问的设备，以提高配电级别的电能质量。