Browsing by Author "Chakrabortty, Aranya"

Now showing 1 - 5 of 5

Citation - WoS: 20
Citation - Scopus: 23
A Model Predictive Control Design for Selective Modal Damping in Power Systems
(IEEE, 2015) Abhishek Jain; Emrah Biyik; Aranya Chakrabortty; Chakrabortty, Aranya; Biyik, Emrah; Jain, Abhishek
This paper presents a novel real-time predictive control technique to damp dominant inter-area oscillation modes in power systems. We first show that conventional Power System Stabilizers (PSS) in synchronous generators are best suited to damp only the intra-area oscillation modes and participate poorly in inter-area damping. We then design a centralized Model Predictive Controller (MPC) to provide supplementary control to these conventional PSSs based on a Selective Discrete Fourier Transform (SDFT) approach. The SDFT extracts the energies associated with the inter-area frequency components in the output spectrum of the system and uses this information to construct a weighting matrix Q. The MPC is then formulated as a quadratic minimization of the outputs using Q resulting in damping only the inter-area modes of interest. In reality however the most dominant DFT magnitudes will not be known ahead of time since they are decided by the location of the disturbance. Therefore we next augment the MPC design by predicting the dominant DFT magnitudes in the desired low frequency range using online measured data and tuning Q accordingly. We illustrate the effectiveness of the proposed approach using an IEEE 39-bus prototype power system model for the New England system.
Citation - WoS: 23
Citation - Scopus: 26
An online structurally constrained LQR design for damping oscillations in power system networks
(Institute of Electrical and Electronics Engineers Inc., 2017) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, Abhishek
This paper presents an online distributed control design for suppressing inter-area oscillations in large power systems under structural constraints posed on the underlying communication network. The presence of multiple clusters of generators in a power system results in several inter-area oscillation modes. By modal analysis we first show that the contribution of each inter-area mode on the electromechanical state response of the generators is heavily dependent on the perturbed initial state of the system. We then take advantage of this observation to design structural constraints on the communication graph. A parallelized constrained linear quadratic regulator (LQR) design is then proposed to balance the tradeoff between performance and the level of sparsity induced in the network. Algorithms for practical implementation of the design are provided. Results are compared with the full order LQR and illustrated on the New England 39-bus power system model. © 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 25
Citation - Scopus: 27
Distributed wide-area control of power system oscillations under communication and actuation constraints
(Elsevier Ltd, 2018) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, Abhishek
In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber–physical constraints — namely communication constraints that lead to sparsification of the underlying communication network and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine 140-bus model for the Northeast Power Coordinating Council. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 5
Structurally Constrained ell 1-Sparse Control of Power Systems: Online Design and Resiliency Analysis
(Institute of Electrical and Electronics Engineers Inc., 2018) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, Abhishek
This paper presents a sparse Linear Quadratic Regulator (LQR) design for damping oscillations in wide-area power system networks. We first show how depending on the severity and location of a fault different sets of generators can have different contributions to the inter-area oscillation modes. This information is used to construct the communication topology for feedback control. An additional layer of sparsity is imposed on top of this communication structure by posing an ell 1-sparsification of the generator states that are transmitted through each communication link. An algorithm is provided where the designed sparse controller is also used to enhance the resiliency of the closed-loop system against denial-of-service (DoS) attacks. Results are validated using simulations on the IEEE 39-bus New England power system model. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 5
Structurally Constrained l1-Sparse Control of Power Systems: Online Design and Resiliency Analysis
(IEEE, 2018) Abhishek Jain; Aranya Chakrabortty; Emrah Biyik; Chakrabortty, Aranya; Biyik, Emrah; Jain, Abhishek
This paper presents a sparse Linear Quadratic Regulator (LQR) design for damping oscillations in wide-area power system networks. We first show how depending on the severity and location of a fault different sets of generators can have different contributions to the inter-area oscillation modes. This information is used to construct the communication topology for feedback control. An additional layer of sparsity is imposed on top of this communication structure by posing an l(1)-sparsification of the generator states that are transmitted through each communication link. An algorithm is provided where the designed sparse controller is also used to enhance the resiliency of the closed-loop system against denial-of-service (DoS) attacks. Results are validated using simulations on the IEEE 39-bus New England power system model.