activity
20102022
most citedRobust Energy Management for Microgrids With High-Penetration Renewables

806 citations · 1.6k across the 33 of their papers we have counts for

collaborators

36 papers

eess.SY2022★ 1 cited

Assessing the Optimality of LinDist3Flow for Optimal Tap Selection of Step Voltage Regulators in Unbalanced Distribution Networks

Krishna Sandeep Ayyagari, Sherin Ann Abraham, Yiyun Yao +4

The adoption of distributed energy resources such as photovoltaics (PVs) has increased dramatically during the previous decade. The increased penetration of PVs into distribution n…

eess.SY2022

Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States

Sebastian Nugroho, Ahmad Taha, Nikolaos Gatsis +1

Phasor measurement units ({PMUs}) have become instrumental in modern power systems for enabling real-time, wide-area monitoring and control. Accordingly, many studies have investig…

eess.SP2021★ 30 cited

Rejection of Smooth GPS Time Synchronization Attacks via Sparse Techniques

Erick Schmidt, Junhwan Lee, Nikolaos Gatsis +1

This paper presents a novel time synchronization attack (TSA) model for the Global Positioning System (GPS) based on clock data behavior changes in a higher-order derivative domain…

eess.SY2020

Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics

Ahmad F. Taha, Shen Wang, Yi Guo +4

Real-time water quality (WQ) sensors in water distribution networks (WDN) have the potential to enable network-wide observability of water quality indicators, contamination event d…

eess.SP2020★ 80 cited

A GPS spoofing detection and classification correlator-based technique using the LASSO

Erick Schmidt, Nikolaos Gatsis, David Akopian

This work proposes a global navigation satellite system (GNSS) spoofing detection and classification technique for single antenna receivers. We formulate an optimization problem at…

math.OC2020★ 1 cited

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…

math.OC2020★ 13 cited

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…

eess.SY2019

State Estimation in Water Distribution Networks through a New Successive Linear Approximation

Shen Wang, Ahmad F. Taha, Lina Sela +2

State estimation (SE) of water distribution networks (WDNs) is difficult to solve due to nonlinearity/nonconvexity of water flow models, uncertainties from parameters and demands,…

eess.SY2019★ 2 cited

Receding Horizon Control for Drinking Water Networks: The Case for Geometric Programming

Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +1

Optimal, network-driven control of Water Distribution Networks (WDN) is very difficult: valve and pump models form non-trivial, combinatorial logic; hydraulic models are nonconvex;…

eess.SY2019

Tuning-Free, Low Memory Robust Estimator to Mitigate GPS Spoofing Attacks

Junhwan Lee, Ahmad F. Taha, Nikolaos Gatsis +1

The operation of critical infrastructures such as the electrical power grid, cellphone towers, and financial institutions relies on precise timing provided by stationary GPS receiv…

math.OC2019

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…

math.OC2019★ 1 cited

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…

math.OC2019★ 4 cited

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…

math.OC2018★ 1 cited

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…

math.OC2018★ 1 cited

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…

eess.SY2018

A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks

Mohammadhafez Bazrafshan, Nikolaos Gatsis, Marcio Giacomoni +1

This paper develops a fixed-point iteration to solve the steady-state water flow equations in an urban water distribution network. The fixed-point iteration is derived upon the ass…

eess.SY2018

Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control

Sebastian Nugroho, Ahmad F. Taha, Tyler Summers +1

In most dynamic networks, it is impractical to measure all of the system states; instead, only a subset of the states are measured through sensors. Consequently, and unlike full st…

eess.SY2018★ 92 cited

Vulnerability Analysis of Smart Grids to GPS Spoofing

Paresh Risbud, Nikolaos Gatsis, Ahmad Taha

Sensors such as phasor measurement units (PMUs) endowed with GPS receivers are ubiquitously installed providing real-time grid visibility. A number of PMUs can cooperatively enable…

eess.SY2018

Dynamic Actuator Selection and Robust State-Feedback Control of Networked Soft Actuators

Nafiseh Ebrahimi, Sebastian Nugroho, Ahmad F. Taha +3

The design of robots that are light, soft, powerful is a grand challenge. Since they can easily adapt to dynamic environments, soft robotic systems have the potential of changing t…

eess.SY2018★ 55 cited

Real-Time Rejection and Mitigation of Time Synchronization Attacks on the Global Positioning System

Ali Khalajmehrabadi, Nikolaos Gatsis, David Akopian +1

This paper introduces the Time Synchronization Attack Rejection and Mitigation (TSARM) technique for Time Synchronization Attacks (TSAs) over the Global Positioning System (GPS). T…

eess.SY2018★ 2 cited

Robust Control for Renewable-Integrated Power Networks Considering Input Bound Constraints and Worst-Case Uncertainty Measure

Ahmad F. Taha, Mohammadhafez Bazrafshan, Sebastian Nugroho +2

Uncertainty from renewable energy and loads is one of the major challenges for stable grid operation. Various approaches have been explored to remedy these uncertainties. In this p…

math.OC2017

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…

math.OC2017

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…

math.OC2017

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…