OPTIMIZING POWER SYSTEMS WITH ENERGY STORAGE

几种新兴的储能(ES)技术具有提供多种服务的潜力，如频率调节、能源套利等。这些ES技术正在大型公用事业级示范项目中进行测试和展示。虽然新的ES技术即将在输电和配电系统级别集成到电力系统中，但它们需要电力系统工程师的关注，以便进行调查、研究和采用。因此，这项建议设定了三个目标：(A)发展ES机组的技术经济模型，(B)电力系统ES机组优化规划的新工具，(C)含ES机组的电力系统优化调度的新方法。(A)目标1--建模：将对各种类型的电动机组进行建模，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被开发用于电网分析、规划和经济调度算法。还将探索衍生市场模型。(B)目标2-规划：将研究和开发确定电力系统中安装ES机组的最佳位置的指标和指数。紧随其后的是规划算法的开发，该算法将根据特定的应用对输配电系统中的ES单元进行最佳定位和大小调整。最后，将利用‘期货’等衍生品市场工具来创建多年规划模型。(C)目标3--调度：将开发用于ES装置自我调度的新算法和工具，以及用于调度具有ES装置的输电和配电系统的新方法。此外，还将探索和开发衍生市场工具，如用来交易ES机组服务的期权。拟议的研究计划具有极好的研究前景，为培训HQP提供了充足的空间，并与加拿大公用事业公司和竞相建设集成ES机组的智能电网的行业高度相关。

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.