Temporal-Spatial Control of Electric-Driven Water Facilities for Renewable Energy Management under Combinatorial Operation Modes of Contingency Response and Nexus

应急响应与联动组合运行模式下可再生能源管理电驱动水利设施时空控制

• 批准号: 2124849
• 负责人: Qifeng Li
• 金额: $ 30.06万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2124849&HistoricalAwards=false
• 关键词: Temporal; Spatial; Control; Electric; Driven

Using renewable energy to meet society's energy needs promises to help address concerns about climate change. However, the intermittency of renewable power, such as wind and solar power, incurs great challenges for high penetration of these renewable energies. Given that the water sector has increasing consumption of electric energy, the interactions between the power distribution systems (PDS) and water distribution systems (WDS) are becoming stronger. This raises interest in coordinating the operations of PDS and WDS for renewable energy management (REM). However, the operation of PDS and WDS are not well coordinated because for most cases the two systems are owned and operated by different entities. This project aims at mitigating this issue by designing a comprehensive framework of PDS and WDS coordination. The proposed framework considers the coordination of PDSs and WDSs that: 1) are owned and operated by different entities or by single entities; and 2) possess different characteristics determined by geographical and climatic features (e.g., urban versus rural, island versus desert). For the purposes of improving REM efficiency in normal operations and also the system’s resilience for contingencies, a temporal-spatial control strategy will be developed under the coordination framework that allows operators to control electricity-driven water facilities for energy storage.This project will: 1) design a combinatorial framework for energy-water coordination in different geographical/climatic regions, with inclusion of a normal operations mode and a contingency response mode; 2) develop a temporal-spatial control scheme to implement the combinatorial coordination framework, where the first and second levels of temporal controls respond to contingencies caused by renewable power fluctuation while the third level temporal control is a spatial optimization; 3) solve the spatial optimization problem effectively under a decentralized scheme for city-scale systems and a distributed scheme for small-community systems; and 4) validate the proposed approaches on two real-world systems via computer simulations, and produce publicly accessible datasets. This research, which encompasses power, water, optimization, and control, will advance knowledge for handling coupled energy and water networks. The outcomes of this project are targeted to improve the overall efficiency and resilience of the two critical infrastructure sectors, and may also be applicable to other critical infrastructure, such as gas and transportation systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

利用可再生能源满足社会的能源需求有望帮助解决对气候变化的担忧。然而，风能和太阳能等可再生能源的间歇性，给这些可再生能源的高渗透率带来了巨大的挑战。鉴于水务部门对电能的消耗越来越大，配电系统（PDS）和供水系统（WDS）之间的相互作用越来越强。这引起了人们对协调PDS和WDS在可再生能源管理（REM）方面的操作的兴趣。然而，PDS和WDS的运作并没有很好地协调，因为在大多数情况下，这两个系统由不同的实体拥有和运营。本项目旨在通过设计一个全面的PDS和WDS协调框架来缓解这一问题。建议的框架考虑了由不同实体或单一实体拥有和经营的pds和wds的协调；2)具有由地理和气候特征决定的不同特征（如城市与农村、岛屿与沙漠）。为了提高REM在正常运行中的效率，以及系统对突发事件的应变能力，将在协调框架下制定时空控制策略，使运营商能够控制电力驱动的水设施用于储能。本项目将：1)设计不同地理/气候区域的能源-水协调组合框架，包括正常运行模式和应急响应模式；2)制定时空控制方案，实现组合协调框架，其中第一级和第二级时间控制应对可再生能源波动引起的突发事件，第三级时间控制是空间优化；3)有效解决城市规模系统的分散方案和小社区系统的分布式方案下的空间优化问题；4)通过计算机模拟在两个现实世界系统上验证所提出的方法，并生成可公开访问的数据集。这项研究包括电力、水、优化和控制，将推进处理耦合能源和水网络的知识。该项目的成果旨在提高这两个关键基础设施部门的整体效率和韧性，也可能适用于其他关键基础设施，如天然气和运输系统。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Evaluate the capacity of electricity-driven water facilities in small communities as virtual energy storage

• DOI: 10.1016/j.apenergy.2021.118349
• 发表时间: 2022-03
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: M. Goodarzi;Qifeng Li

Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method

• DOI: 10.1109/pesgm48719.2022.9916824
• 发表时间: 2022-01
• 期刊: 2022 IEEE Power & Energy Society General Meeting (PESGM)
• 作者: M. Goodarzi;Qifeng Li

Hybrid physics and data-driven contingency filtering for security operation of micro energy-water nexus

混合物理和数据驱动的应急过滤，用于微能源-水关系的安全运行

• 发表时间: 2023
• 期刊: CSEE journal of power and energy systems
• 影响因子: 7.1
• 作者: Goodarzi, Mostafa;Li, Qifeng
• 通讯作者: Li, Qifeng

Optimal Operation of Power Systems With Energy Storage Under Uncertainty: A Scenario-Based Method With Strategic Sampling

• DOI: 10.1109/tsg.2021.3127922
• 发表时间: 2021-07
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Ren Hu;Qifeng Li

A Data-Driven Optimization Method Considering Data Correlations for Optimal Power Flow Under Uncertainty

• DOI: 10.1109/access.2023.3262234
• 发表时间: 2023
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Ren Hu;Qifeng Li