CAREER: Optimal Interdependent Operation of Electricity Distribution Grids and Water Distribution Systems in Smart Cities

职业：智慧城市中配电网和供水系统的最佳相互依存运行

• 批准号: 1847125
• 负责人: Nikolaos Gatsis
• 金额: $ 50万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1847125&HistoricalAwards=false
• 关键词: CAREER; Optimal; Interdependent; Operation; Electricity

Electricity distribution networks and water distribution systems are critical infrastructures that are vital for the social well-being. Although they are traditionally operated independently, they are interconnected and interdependent. The interdependency is manifested through the electricity consumption of water services facilities, such as pumping, treatment, and wastewater management. It is becoming recognized by various stakeholders that socio-economic benefits can be reaped from the coordinated operation of coupled infrastructure components and services in an urban district. The objective of this project is thus to put forth a framework that addresses challenges in resource management for coupled electricity distribution networks and water distribution systems. The potential benefits include more reliable and economic delivery of electricity and water to the end-user. Furthermore, this project supports education through enhancement of the power engineering curriculum at the University of Texas at San Antonio as well as outreach to high school students and local community colleges.This project puts forth novel multi-period optimization methods for optimal asset utilization and resource scheduling in electricity distribution grids and water distribution systems. Specifically, the multi-phase operation of electricity distribution grids with wye and delta connection variants is explicitly modeled. Tight polyhedral relaxations for optimal power flow in distribution grids with step-voltage regulators are developed and are extended to account for other utility or end-user assets. Novel optimization schemes building on contraction mappings and penalty methods overcome the nonconvex and nondifferentiable nature of the hydraulic equations that govern water distribution systems. Comprehensive models for energy-optimal joint management of electricity and water distribution systems are developed. The physical coupling between the two networks is explicitly accounted for, while optimized multi-period pump and water tank operation takes advantage of the inherent time flexibility and can provide a form of energy storage. The developed models can also be incorporated in distribution service restoration sequences. The research is validated with a real-time power network simulator at the University of Texas at San Antonio.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.

电力分销网络和水分配系统是关键的基础设施，对社会福祉至关重要。尽管传统上是独立运营的，但它们是相互联系和相互依存的。相互依存的依赖性通过水服务设施（例如抽水，处理和废水管理）来体现。人们认识到，各种利益相关者可以从城市区的基础设施组件和服务的协调运营中获得社会经济福利。因此，该项目的目的是提出一个框架，以解决耦合电力分配网络和水分配系统的资源管理挑战。潜在的好处包括向最终用户提供电力和水的更可靠和经济交付。此外，该项目通过在得克萨斯大学圣安东尼奥分校的动力工程课程以及向高中生和当地社区学院推出的推动力来支持教育电力分配网格和水分配系统的日程安排。具体而言，明确建模了具有WYE和Delta连接变体的电力分布网格的多相操作。开发了带有台压调节器的分配网格中最佳功率流的紧密多面体松弛，并扩展以说明其他实用程序或最终用户资产。基于收缩映射和惩罚方法建立的新型优化方案克服了控制供水系统的液压方程的非covex和非偶然性。开发了用于电力和水分配系统的能源最佳联合管理的综合模型。明确考虑了两个网络之间的物理耦合，而优化的多个周期泵和水箱操作则利用了固有的时间灵活性，并且可以提供一种能量存储的形式。开发的模型也可以将其纳入分配服务恢复序列中。该研究通过德克萨斯大学圣安东尼奥分校的实时电力网络模拟器进行了验证。该奖项反映了NSF的法定任务，并认为使用基金会的知识分子优点和更广泛的影响评估标准，认为值得通过评估来获得支持。

项目成果

Optimal Power Flow With Step-Voltage Regulators in Multi-Phase Distribution Networks

多相配电网络中采用阶跃电压调节器的最佳功率流

• DOI: 10.1109/tpwrs.2019.2915795
• 发表时间: 2019
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Bazrafshan, Mohammadhafez;Gatsis, Nikolaos;Zhu, Hao
• 通讯作者: Zhu, Hao

Buildings-to-distribution-network integration for coordinated voltage regulation and building energy management via distributed resource flexibility

• DOI: 10.1016/j.scs.2021.102832
• 发表时间: 2021-03
• 期刊: Sustainable Cities and Society
• 影响因子: 11.7
• 作者: Hannah Fontenot;K. S. Ayyagari;B. Dong;Nikolaos Gatsis;A. Taha

Optimal pump scheduling in multi-phase distribution networks using Benders decomposition

使用 Benders 分解的多相配电网络中的最佳泵调度

• DOI: 10.1016/j.epsr.2022.108584
• 发表时间: 2022
• 期刊: Electric Power Systems Research
• 影响因子: 3.9
• 作者: Ayyagari, Krishna Sandeep;Gatsis, Nikolaos
• 通讯作者: Gatsis, Nikolaos

Energy-Efficient Optimal Water Flow Considering Pump Efficiency

考虑泵效率的节能最佳水流

• DOI: 10.1109/powertech46648.2021.9494803
• 发表时间: 2021
• 期刊: 2021 IEEE PowerTech
• 作者: Ayyagari, Krishna Sandeep;Wang, Shen;Gatsis, Nikolaos;Taha, Ahmad F.;Giacomoni, Marcio
• 通讯作者: Giacomoni, Marcio

Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion

用于纠正电网拥塞的电压相关负载的在线需求响应

• DOI: 10.1109/smartgridcomm.2019.8909695
• 发表时间: 2019
• 期刊: and Computing Technologies for Smart Grids (SmartGridComm
• 作者: Bazrafshan, Mohammadhafez;Zhu, Hao;Khodaei, Amin;Gatsis, Nikolaos
• 通讯作者: Gatsis, Nikolaos