@article{chakraborty_nazir_chakrabortty_2023, title={Data-Driven Optimal Power Dispatch for Distributed Energy Resources in Radial Feeder using Multi-Stage Regression}, volume={56}, ISSN={["2405-8963"]}, DOI={10.1016/j.ifacol.2023.10.1853}, number={2}, journal={IFAC PAPERSONLINE}, author={Chakraborty, Rahul and Nazir, Md Salman and Chakrabortty, Aranya}, year={2023}, pages={1552–1557} }
 @article{chakraborty_chakrabortty_farantatos_patel_hooshyar_darvishi_2023, title={Hierarchical frequency and voltage control using prioritized utilization of inverter based resources}, volume={144}, ISSN={["1879-3517"]}, DOI={10.1016/j.ijepes.2022.108527}, abstractNote={We propose a novel hierarchical frequency and voltage control design for multi-area power system integrated with inverter-based resources (IBRs). The design is based on the idea of prioritizing the use of IBRs over conventional generator-based control in compensating for sudden and unpredicted changes in loads and generations, and thereby mitigate any undesired dynamics in the frequency or the voltage by exploiting their fast actuation time constants. A new sequential optimization problem, referred to as Area Prioritized Power Flow (APPF), is formulated to model this prioritization. It is shown that compared to conventional power flow APPF not only leads to a fairer balance between the dispatch of active and reactive power from the IBRs and the synchronous generators, but also limits the impact of any contingency from spreading out beyond its respective control area, thereby guaranteeing a better collective dynamic performance of the grid. This improvement, however, comes at the cost of adding an extra layer of communication needed for executing APPF in a hierarchical way. Results are validated using simulations of a 9-machine, 6-IBR, 33-bus, 3-area power system model, illustrating how APPF can mitigate a disturbance faster and more efficiently by prioritizing the use of local area-resources.}, journal={INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS}, author={Chakraborty, Rahul and Chakrabortty, Aranya and Farantatos, Evangelos and Patel, Mahendra and Hooshyar, Hossein and Darvishi, Atena}, year={2023}, month={Jan} }
 @article{chakraborty_chakrabortty_osipov_chow_2023, title={Power Flow Optimization Redesign for Transient Stability Enhancement}, ISSN={["2167-9665"]}, DOI={10.1109/ISGT51731.2023.10066339}, abstractNote={We develop an optimization program referred to as the $H_{2}$ -power flow modification $(H_{2}$-pfm) that utilizes the potential of inverter-based resources (IBRs) for improving damping of the electro-mechanical dynamics of a power system, and, in turn, enhances its transient stability radius as well. The method tunes the active and reactive power setpoints of the IBRs generated from the standard AC-OPF solution to optimize the $\mathbf{H}_{2}$ -norm of the transfer function of the grid model considering any incoming disturbance as the input and the generator rotor speeds as the outputs. Power transfer distribution factors (PTDFs) are used to identify the most relevant sets of tunable setpoints to reduce the search space, thereby making the problem solvable online. Simulation results are shown using a 16-machine, 68-bus New York power system model integrated with 7 wind farms. Results indicate that $H_{2}$ - PFM leads to notable improvement in transient stability compared to that for nominal AC-OPF.}, journal={2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT}, author={Chakraborty, Rahul and Chakrabortty, Aranya and Osipov, Denis and Chow, Joe H.}, year={2023} }
 @misc{chakraborty_jain_seo_2022, title={A review of active probing-based system identification techniques with applications in power systems}, volume={140}, ISSN={["1879-3517"]}, DOI={10.1016/j.ijepes.2022.108008}, abstractNote={System identification is becoming a relevant research area for numerous applications in power grids due to the increasing complexity of the system. A paradigm shift in power system infrastructure driven by renewable energy resources, controllable loads, and new power electronics technologies have given rise to new challenges in power systems operation and control. This increased complexity of power systems and unavailability of physics-based models of most inverter-based resources requires that traditional modeling of power systems approaches be complemented by system identification-based black or grey box modeling techniques. In light of the importance of system identification and little attention paid to the applications of these techniques in transforming power systems, this paper provides a comprehensive review of active probing-based system identification methods in the context of power system applications. It reviews applications of both linear and nonlinear system identification with discussion on their potential and key takeaways. To motivate a further practical use in power systems, the paper provides an example of system identification, to develop a state space model of an unknown plant with step-by-step details. The paper highlights the advantages of using modern power electronics-based sources in the identification process and discusses the emerging research directions for future.}, journal={INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS}, author={Chakraborty, Rahul and Jain, Himanshu and Seo, Gab-Su}, year={2022}, month={Sep} }