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Dive into the research topics where Mesut E. Baran is active.

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Featured researches published by Mesut E. Baran.


IEEE Transactions on Industry Applications | 2003

DC distribution for industrial systems: opportunities and challenges

Mesut E. Baran; N.R. Mahajan

This paper investigates the opportunities and challenges associated with adopting a DC distribution scheme for industrial power systems. A prototype DC distribution system has been simulated to investigate the issues. One of the issues focused is the interaction between power converters that are used to convert AC to DC and DC to AC. Another challenging issue investigated is the system grounding. These issues become challenging mainly due to the neutral voltage shift associated with the power converters. The paper shows that converter interactions can be minimized with proper filtering and control on the converters. The paper also proposes a grounding scheme and shows that this scheme provides an effective solution by keeping the neutral voltages low under normal conditions and by limiting the fault currents during fault conditions. With these features, DC distribution provides very reliable and high-quality power.


IEEE Transactions on Energy Conversion | 2009

Control Strategies for Battery Energy Storage for Wind Farm Dispatching

Sercan Teleke; Mesut E. Baran; Alex Q. Huang; Subhashish Bhattacharya; Loren Anderson

Integrating a battery energy storage system (BESS) with a large wind farm can smooth out the intermittent power from the wind farm. This paper focuses on development of a control strategy for optimal use of the BESS for this purpose. The paper considers a conventional feedback-based control scheme with revisions to incorporate the operating constraints of the BESS, such as state of charge limits, charge/discharge rate, and lifetime. The goal of the control is to have the BESS provide as much smoothing as possible so that the wind farm can be dispatched on an hourly basis based on the forecasted wind conditions. The effectiveness of this control strategy has been tested by using an actual wind farm data. Finally, it is shown that the control strategy is very important in determining the proper BESS size needed for this application.


IEEE Transactions on Power Systems | 2007

A Multiagent-Based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders

Mesut E. Baran; Ismail M. El-Markabi

This paper illustrates how a multiagent system (MAS)-based scheme can be developed for a control/optimization problem. The prototype problem considered is the dispatching of distributed generators on a distribution feeder to provide voltage support. The popular control net protocol (CNP) for MAS has been adopted to facilitate distributed control. This paper illustrates that characterization of the optimal solution is necessary in order to develop a protocol for the MAS to implement. This paper also shows that MAS facilitates a model-free control procedure, as it can monitor the local sensitivities. Test results, based on simulations on a prototype feeder, show that the proposed MAS-based control scheme is very effective in obtaining the solution for the prototype problem. The proposed method needs fast communication among the distributed generators (DGs) in order to assure fast response during emergency conditions. Communication requirements have also been identified in this paper


IEEE Transactions on Power Systems | 1994

State estimation for real-time monitoring of distribution systems

Mesut E. Baran; Arthur W. Kelley

Utilities currently use historical customer load data to forecast the loads in their distribution feeders for real-time feeder analysis and control. In this paper a three-phase state estimation method is developed to increase the accuracy of this load data. The method is based on the weighted least square approach and uses a three-phase node voltage formulation. The method can handle power, voltage, and current measurements. Test results indicate that state estimation can improve the forecasted load data by using real-time measurements. The effectiveness of branch current measurements were also tested. >


IEEE Transactions on Sustainable Energy | 2010

Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources

Sercan Teleke; Mesut E. Baran; Subhashish Bhattacharya; Alex Q. Huang

Integrating a battery energy storage system (BESS) with a solar photovoltaic (PV) system or a wind farm can make these intermittent renewable energy sources more dispatchable. This paper focuses on the development of a control strategy for optimal use of the BESS for this purpose. The paper considers a rule-based control scheme, which is the solution of the optimal control problem defined, to incorporate the operating constraints of the BESS, such as state of charge limits, charge/discharge current limits, and lifetime. The goal of the control is to have the BESS provide as much smoothing as possible so that the renewable resource can be dispatched on an hourly basis based on the forecasted solar/wind conditions. The effectiveness of this control strategy has been tested by using an actual PV system and wind farm data and it is shown that the BESS can indeed help to cope with variability in winds and solars generation.


IEEE Transactions on Energy Conversion | 2008

STATCOM Impact Study on the Integration of a Large Wind Farm into a Weak Loop Power System

Chong Han; Alex Q. Huang; Mesut E. Baran; Subhashish Bhattacharya; Wayne H. Litzenberger; Loren Anderson; Anders L. Johnson; Abdel-Aty Edris

Recently, renewable wind energy is enjoying a rapid growth globally to become an important green electricity source to replace polluting and exhausting fossil fuel. However, with wind being an uncontrollable resource and the nature of distributed wind induction generators, integrating a large-scale wind-farm into a power system poses challenges, particularly in a weak power system. In the paper, the impact of STATCOM to facilitate the integration of a large wind farm into a weak power system is studied. First, an actual weak power system with two nearby large wind farms is introduced. Based on the field SCADA data analysis, the power quality issues are highlighted and a centralized STATCOM is proposed to solve them, particularly the short-term (seconds to minutes) voltage fluctuations. Second, a model of the system, wind farm and STATCOM for steady-state and dynamic impact study is presented, and the model is validated by comparing with the actual field data. Using simulated PV and QV curves, voltage control and stability issues are analyzed, and the size and location of STATCOM are assessed. Finally, a STATCOM control strategy for voltage fluctuation suppression is presented and dynamic simulations verify the performance of proposed STATCOM and its control strategy


IEEE Transactions on Power Systems | 1995

A branch-current-based state estimation method for distribution systems

Mesut E. Baran; Arthur W. Kelley

A branch-current-based three-phase state estimation (SE) method is proposed for distribution systems. The method is tailored for distribution feeders with a few loops. The method is computationally more efficient than the conventional node voltage-based SE methods. To further improve the computational efficiency, it is shown that distribution systems can be reduced without much loss of accuracy in SE. >


IEEE Transactions on Energy Conversion | 2010

Optimal Control of Battery Energy Storage for Wind Farm Dispatching

Sercan Teleke; Mesut E. Baran; Subhashish Bhattacharya; Alex Q. Huang

Integrating a battery energy storage system (BESS) with a large wind farm can make a wind farm more dispatchable. This paper focuses on development of a control strategy for optimal use of the BESS for this purpose. The paper considers an open-loop optimal control scheme to incorporate the operating constraints of the BESS, such as state of charge limits, charge/discharge current limits, and lifetime. The goal of the control is to have the BESS to provide as much smoothing as possible, so that the wind farm can be dispatched on an hourly basis based on the forecasted wind conditions. The effectiveness of this control strategy has been tested by using an actual wind farm data. Furthermore, a real-time implementation strategy using model predictive control is also proposed. Finally, it is shown that the control strategy is very important in improving the BESS performance for this application.


IEEE Transactions on Power Delivery | 2007

Overcurrent Protection on Voltage-Source-Converter-Based Multiterminal DC Distribution Systems

Mesut E. Baran; Nikhil R. Mahajan

This paper proposes a protection scheme which utilizes modern voltage-source converters as fast-acting current-limiting circuit breakers. This paper investigates the main challenges of detecting and localizing a fault, and interrupting it as quickly as possible in a multiterminal dc system. A system protection scheme consisting of smart relays associated with converters has been developed. The protection relays monitor local quantities to detect and isolate disturbances/faults. It is shown that overcurrent-based schemes can be adopted for these relays to meet the fast response requirements. The effectiveness of the proposed protection scheme is illustrated through simulations


IEEE Transactions on Power Systems | 2005

Fault analysis on distribution feeders with distributed generators

Mesut E. Baran; I. El-Markaby

This paper shows that the current an inverter interfaced distributed generator (IIDG) contributes to a fault varies considerably, due mainly to fast response of its controller. This paper proposes a method to extend the conventional fault analysis methods so that IIDG contribution can be estimated in the fault analysis. The proposed method gives rms profiles of the fault currents of interest (IIDG contribution and the fault currents the protective device will see). Test results, based on a prototype feeder, show that the proposed approach can estimate the fault currents contributions under both balanced and unbalanced fault conditions.

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Alex Q. Huang

North Carolina State University

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Subhashish Bhattacharya

North Carolina State University

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Arthur W. Kelley

North Carolina State University

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Sercan Teleke

North Carolina State University

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Hossein Hooshyar

Royal Institute of Technology

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Nikhil R. Mahajan

North Carolina State University

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Jason P. Rhode

North Carolina State University

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Srdjan Lukic

North Carolina State University

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Zhan Shen

Electric Power Research Institute

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David Lubkeman

North Carolina State University

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