806 citations · 1.6k across the 33 of their papers we have counts for
16 papers · 1 filter
Probabilistic State Estimation in Water Networks
Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +2
State estimation in water distribution networks (WDN), the problem of estimating all unknown network heads and flows given select measurements, is challenging due to the nonconvexi…
A New Derivative-Free Linear Approximation for Solving the Network Water Flow Problem with Convergence Guarantees
Shen Wang, Ahmad F. Taha, Lina Sela +2
Addressing challenges in urban water infrastructure systems including aging infrastructure, supply uncertainty, extreme events, and security threats, depend highly on water distrib…
Designing reactive power control rules for smart inverters using support vector machines
Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis +1
Smart inverters have been advocated as a fast-responding mechanism for voltage regulation in distribution grids. Nevertheless, optimal inverter coordination can be computationally…
Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks
Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +1
Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flo…
Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks
Mohammadhafez Bazrafshan, Nikolaos Gatsis, Hao Zhu
This paper develops a branch-flow based optimal power flow (OPF) problem for multi-phase distribution networks that allows for tap selection of wye, closed-delta, and open-delta st…
Algorithms for Joint Sensor and Control Nodes Selection in Dynamic Networks
Sebastian A. Nugroho, Ahmad F. Taha, Nikolaos Gatsis +2
The problem of placing or selecting sensors and control nodes plays a pivotal role in the operation of dynamic networks. This paper proposes optimal algorithms and heuristics to so…
Kernel-Based Learning for Smart Inverter Control
Aditie Garg, Mana Jalali, Vassilis Kekatos +1
Distribution grids are currently challenged by frequent voltage excursions induced by intermittent solar generation. Smart inverters have been advocated as a fast-responding means…
Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems
Ahmad F. Taha, Nikolaos Gatsis, Tyler Summers +1
We propose methods to solve time-varying, sensor and actuator (SaA) selection problems for uncertain cyber-physical systems. We show that many SaA selection problems for optimizing…
Coupling Load-Following Control with OPF
Mohammadhafez Bazrafshan, Nikolaos Gatsis, Ahmad Taha +1
In this paper, the optimal power flow (OPF) problem is augmented to account for the costs associated with the load-following control of a power network. Load-following control cost…
Buildings-to-Grid Integration Framework
Ahmad F. Taha, Nikolaos Gatsis, Bing Dong +2
This paper puts forth a mathematical framework for Buildings-to-Grid (BtG) integration in smart cities. The framework explicitly couples power grid and building's control actions a…
Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix
Mohammadhafez Bazrafshan, Nikolaos Gatsis
The theme of this paper is three-phase distribution system modeling suitable for the Z-Bus load-flow. Detailed models of wye and delta constant-power, constant-current, and constan…
Convergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads
Mohammadhafez Bazrafshan, Nikolaos Gatsis
This paper derives a set of sufficient conditions guaranteeing that the load-flow problem in unbalanced three-phase distribution networks with wye and delta ZIP loads has a unique…
Disaggregated Bundle Methods for Distributed Market Clearing in Power Networks
Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis
A fast distributed approach is developed for the market clearing with large-scale demand response in electric power networks. In addition to conventional supply bids, demand offers…
Risk-Aware Management of Distributed Energy Resources
Yu Zhang, Nikolaos Gatsis, Vassilis Kekatos +1
High wind energy penetration critically challenges the economic dispatch of current and future power systems. Supply and demand must be balanced at every bus of the grid, while res…
Monitoring and Optimization for Power Grids: A Signal Processing Perspective
Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis +3
The smart grid vision is to revitalize the electric power network by leveraging the proven sensing, communication, control, and machine learning technologies to address pressing is…
Robust Energy Management for Microgrids With High-Penetration Renewables
Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis
Due to its reduced communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which featu…