Smrutirekha Samal | Veer Surendra Sai University Of Technology (original) (raw)
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Papers by Smrutirekha Samal
2022 22nd National Power Systems Conference (NPSC)
2022 IEEE Texas Power and Energy Conference (TPEC)
Distributed Energy Resources (DER) early uses as a backup generation has been progressing toward ... more Distributed Energy Resources (DER) early uses as a backup generation has been progressing toward permanent Distributed Generation (DG), along with the development and enhancement of new technologies over small-scale generation. Over last few years, increasing penetration of renewables in the distribution networks at consumer level raises concerns on protection, control, stability and reliability. Considering the DG integration and wide variations in operating conditions of the microgrid, relays experience protection issues at fault current level violating important tripping decision rules. This study reviews the impact of DG penetration as integration means on traditional overcurrent (OC) protection schemes, being the most common and widely used relaying scheme in radial distribution networks. This paper reviews the most representative methods with respect to various challenges uncovered by exhaustive studies and validations and reported in the literature. Further, potential adaptive and intelligent schemes are also discussed for enhancing the performance over traditional protection schemes in microgrids.
2019 8th International Conference on Power Systems (ICPS), 2019
Microgrid mandates a highly accurate and reliable protection measure for safe and secure operatio... more Microgrid mandates a highly accurate and reliable protection measure for safe and secure operation. Reliability of the protecting system becomes a serious concern when the microgrid operates with various types of DG units which includes synchronous, induction and inverter based DGs with different topology and modes of operation. This paper demonstrates an intelligent protection scheme using deep neural network (DNN) to perform the task of fault detection and classification. Fault currents retrieved at the relaying points are given to the proposed protection scheme to perform the desired task. The performance of the scheme is measured with wide variations in system parameters such as modes of operation and network topologies of the microgrid. The scheme is extensively tested on a large dataset even by varying types of inputs and different deep neural network structures. The test results and response time show that the proposed algorithm can be used in real time for protective measures of microgrid.
IEEE Systems Journal, 2022
2022 22nd National Power Systems Conference (NPSC)
2022 IEEE Texas Power and Energy Conference (TPEC)
Distributed Energy Resources (DER) early uses as a backup generation has been progressing toward ... more Distributed Energy Resources (DER) early uses as a backup generation has been progressing toward permanent Distributed Generation (DG), along with the development and enhancement of new technologies over small-scale generation. Over last few years, increasing penetration of renewables in the distribution networks at consumer level raises concerns on protection, control, stability and reliability. Considering the DG integration and wide variations in operating conditions of the microgrid, relays experience protection issues at fault current level violating important tripping decision rules. This study reviews the impact of DG penetration as integration means on traditional overcurrent (OC) protection schemes, being the most common and widely used relaying scheme in radial distribution networks. This paper reviews the most representative methods with respect to various challenges uncovered by exhaustive studies and validations and reported in the literature. Further, potential adaptive and intelligent schemes are also discussed for enhancing the performance over traditional protection schemes in microgrids.
2019 8th International Conference on Power Systems (ICPS), 2019
Microgrid mandates a highly accurate and reliable protection measure for safe and secure operatio... more Microgrid mandates a highly accurate and reliable protection measure for safe and secure operation. Reliability of the protecting system becomes a serious concern when the microgrid operates with various types of DG units which includes synchronous, induction and inverter based DGs with different topology and modes of operation. This paper demonstrates an intelligent protection scheme using deep neural network (DNN) to perform the task of fault detection and classification. Fault currents retrieved at the relaying points are given to the proposed protection scheme to perform the desired task. The performance of the scheme is measured with wide variations in system parameters such as modes of operation and network topologies of the microgrid. The scheme is extensively tested on a large dataset even by varying types of inputs and different deep neural network structures. The test results and response time show that the proposed algorithm can be used in real time for protective measures of microgrid.
IEEE Systems Journal, 2022