Distribution Grid Optimal Power Flow Incorporating Smart Distribution Grid Optimal Power Flow Incorporating Smart Inverters and Legacy Control Devices
Tez Türü: Bütünleşik Doktora
Tezin Yürütüldüğü Kurum: Florida International University, Faculty of Engineering, Electrical and Computer Engineering, Amerika Birleşik Devletleri
Tez Danışmanı: Sumit Paudyal
Tezin Onay Tarihi: 2023
Tezin Dili: İngilizce
Desteklendiği Program: Diğer
Özet:
Distribution network management/control is stepping into a new role with the in tegration of smart inverter-based resources (IBRs) and ongoing grid moderniza tion initiatives. While the grid is being modernized, the existing infrastructure and the new technologies should ensure coordinated operation. Typically, modern distribution networks are managed by advanced distribution management system (ADMS), which is a digital platform that hosts major grid applications such as voltage regulation, network reconfiguration, fault isolation service restoration and state-estimation, designed to monitor and control the entire network efficiently and reliably. ADMS applications can be represented as a mathematical optimization problem to optimize process and asset operations within the context of distribu tion system optimal power flow (DOPF) problem. To obtain network-wide feasible and optimal control actions in smart grids, DOPF can be used as a systematic management and coordination tool. In this dissertation study, the research efforts contribute to the field of distribution system modeling and optimization in multiple ways. Firstly, the optimization models of advanced and conventional voltage reg ulation devices have been developed to incorporate into system-level management processes. Particularly, novel mathematical optimization models of smart inverter voltage control functions are developed and combined with efficient DOPF formulation. Moreover, the operational models of legacy equipment are also considered for coordinated optimization framework to propose a coherent decision-support with existing infrastructure. Secondly, the developed models have been merged into a two-stage optimization and coordination framework in which conventional legacy de vices and voltage/reactive power functions of smart inverters are coordinated. The proposed optimization framework established on a multi-phase power flow model so that realistic network operation considering the multi-phase couplings and un balanced loading factors can be considered. Furthermore, to increase the solution scalability, temporal division of solution process is used. The overall coordination scheme presents a complete network optimization that can be utilized on the ADMS platforms.