OPTIMIZING POWER SYSTEMS WITH ENERGY STORAGE

通过储能优化电力系统

• 批准号: 327417-2013
• 负责人: Venkatesh, Bala
• 金额: $ 2.11万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637110
• 关键词: OPTIMIZING; POWER; SYSTEMS; ENERGY; STORAGE

Several emerging energy storage (ES) technologies have the potential to deliver numerous services such as frequency regulation, energy arbitrage, etc. These ES technologies are being tested and showcased in large-scale utility-level demonstration projects. While new ES technologies are at the cusp of being integrated into power systems at both transmission and distribution system levels, they need the attention of power systems engineers for investigation, research, and adoption. Therefore, this proposal sets three goals: the development of (a) techno-economic models of ES units, (b) new tools for optimal planning of ES units in power systems, and (c) new methods for optimal scheduling of power systems with ES units. (a) Goal 1 - Modeling: Various types of ES units will be modeled, including flywheels, batteries, compressed air energy storage systems, ice energy systems, and super-capacitors. Their techno-economic models will be developed for use with grid analysis, planning and economic scheduling algorithms. Derivative market models will also be explored.(b) Goal 2 - Planning: Metrics and indices that identify the best set of locations to install ES units in power systems will be researched and developed. This will be followed by the development of planning algorithms that will optimally locate and size ES units in transmission and distribution systems based on specific applications. Finally, derivative market tools such as 'futures' will be pursued to create multi-year planning models. (c) Goal 3 - Scheduling: New algorithms and tools for the self-scheduling of ES units as well as new methods for scheduling transmission and distribution systems with ES units will be developed. Again, derivative market tools such as 'options' to trade in services from ES units will be explored and developed.The proposed research program holds excellent research promise, ample scope for training HQP and is highly relevant to Canadian utilities and industries racing to build smart grids integrating ES units.

几种新兴的储能（ES）技术有可能提供多种服务，如频率调节，能源套利等，这些ES技术正在大规模的公用事业级示范项目中进行测试和展示。虽然新的ES技术正处于被集成到电力系统在传输和分配系统的水平，他们需要电力系统工程师的调查，研究和采用的注意。因此，该建议设定了三个目标：（a）ES单元的技术经济模型的发展，（B）在电力系统中的ES单元的优化规划的新工具，和（c）与ES单元的电力系统的优化调度的新方法。(a)目标1 -建模：各种类型的ES单元将被建模，包括飞轮、电池、压缩空气储能系统、冰能系统和超级电容器。他们的技术经济模型将开发用于电网分析，规划和经济调度算法。还将探讨衍生品市场模式。(b)目标2 -规划：将研究和开发确定在电力系统中安装ES装置的最佳位置的方法和指数。这将是其次是规划算法的发展，将最佳定位和规模ES单位在传输和分配系统的基础上，具体的应用。最后，将采用“期货”等衍生市场工具来创建多年规划模型。(c)目标3 -日程安排：新的算法和工具的ES单元的自我调度，以及调度传输和分配系统与ES单元的新方法将被开发。同样，衍生市场工具，如“期权”交易服务从ES units将被探索和developed.The拟议的研究计划拥有良好的研究前景，充足的培训HQP的范围，是高度相关的加拿大公用事业和行业的竞争，建立智能电网集成ES单元。