The alternating current optimal power flow (AC-OPF) problem is critical to system operations and planning, but it generally hard solve due its nonconvex large-scale nature. This paper proposes a scalable decomposition approach in which the network decomposed into master number of subnetworks, where each has own AC-OPF subproblem. formulates two-stage optimization requires only small amount comm...

Coordinating inverters at scale under uncertainty is the desideratum for integrating renewables in distribution grids. Unless load demands and solar generation are telemetered frequently, controlling given approximate grid conditions or proxies thereof becomes a key specification. Although deep neural networks (DNNs) can learn optimal inverter schedules, guaranteeing feasibility largely elusive...

Modern power systems are experiencing larger fluctuations and more uncertainties caused by increased penetration of renewable energy sources (RESs) electronics equipment. Therefore, fast accurate corrective control actions in real time needed to ensure the system security economics. This paper presents a novel method derive real-time alternating current (AC) optimal flow (OPF) solutions conside...

This paper introduces, for the first time to our knowledge, physics-informed neural networks accurately estimate AC-OPF result and delivers rigorous guarantees about their performance. Power system operators, along with several other actors, are increasingly using Optimal Flow (OPF) algorithms a wide number of applications, including planning real-time operations. However, in its original form,...

Optimal Power Flow (OPF) has been widely used in power system operation and planning. This paper presents Differential Evolution (DE) method to solve optimal power flow in power system incorporating a powerful and versatile Flexible AC Transmission Systems (FACTS) device such as Unified Power Flow Controller (UPFC). Unlike other FACTS devices, UPFC has a great flexibility that can control the a...

Unlike perfect competitive markets, in oligopoly electricity markets due to strategic producers and transmission constraints GenCos may increase their own profit through strategic biddings. This paper investigates the problem of developing optimal bidding strategies of GenCos considering participants’ market power and transmission constraints. The problem is modeled as a bi-level optimizati...

This paper presents a proposal for a new upgrade that will incorporate power electronics experiments in the electric machines lab at Oklahoma State University (both Stillwater and Tulsa campuses). We will introduce a general lab setup which includes digital data acquisition (DAQ) and virtual instrumentation. The application of 3 inverters will be discussed with our lab setup. The installation o...