Divya Rishi Shrivastava

@manipal.edu

Assistant Professor and Electrical Engineering
Manipal University Jaipur

Divya Rishi Shrivastava


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https://researchid.co/divyarishi.shrivastava

EDUCATION

I did my B.Tech. from KNIT Sultanpur in Electrical Engineering during 2008-12; M.Tech. from NIT Silchar in Power & Energy Systems Engineering during 2012-14; Ph.d. in Electrical Engineering in 2022.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
21

Scopus Publications

124

Scholar Citations

8

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Mechanistic insights of smart biofilms in environmental bio-monitoring: from growth to detection
    Akansha Shrivastava, Vishal Mishra, Divya Rishi Shrivastava
    Microbial Cell Factories, 2026
    Microalgae, a diverse assemblage of oxygen-generating photosynthetic organisms, demonstrate autotrophic, mixotrophic, and heterotrophic metabolic modes, facilitating adaptive regulation of their activity under different culture conditions and providing extensive biotechnological potential. Recently, there has been a growing interest in the cultivation of microalgae as biofilms owing to their potential for efficient biomass generation in confined systems and a wide range of industrial applications. This review offers a comprehensive overview of microalgal biofilm development, emphasizing adhesion mechanisms, variations in biofilm structure across diverse substrates, and the impact of critical physical parameters including cell density, size, morphology, and surface charge. Furthermore, the review examines the incorporation of different methods to attain a comprehensive understanding of biofilm development and molecular behavior while preserving biofilm integrity. The discussion encompasses the present challenges and future prospects of microalgal biofilms as biosensor components, highlighting their applications in environmental monitoring, on-chip biosensing, and biohybrid devices. The intrinsic benefits of microalgae, such as their capacity for self-regeneration, metabolic adaptability, and compatibility with optical and electronic systems, establish them as plausible candidates for sustainable biotechnological progress. By integrating mechanistic understanding, experimental methodologies, and application-focused approaches, this review seeks to establish a comprehensive framework for the advancement of next-generation microalgal biofilm technologies.
  • A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui
    Measurement Journal of the International Measurement Confederation, 2025
  • Integer Linear Programming–Based Optimal PMU Placement for Reduced Synchronized Data Burden
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui
    Advanced Solid State Devices for Emerging Nanotechnologies, 2025
    Increasing technological advancements across the globe have necessitated modern power systems to deliver increasing electricity demands over a wide geographical area. For a reliable and acceptable service, a power system must remain intact and capable of withstanding a wide variety of disturbances. This necessitates continuous network monitoring of remote sites even under credible eventualities. A phasor measurement unit (PMU) placed at a bus measures time-tagged voltage phasors and line current phasors. In a power system, deploying a PMU at each node is not feasible in terms of increased investment costs and complex data comprehension and forecasts. This chapter identifies strategic locations in which to place a minimal set of PMUs for realizing complete system measurement observability even under unlikely events. Integer linear programming (ILP)-based formulation is developed to solve the optimal PMU placement (OPP) problem. The effectiveness of the proposed OPP formulation is demonstrated on the IEEE 118 bus test system. The results ensure that PMUs are placed at key locations such that the network is completely observable even under extreme events.
  • A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma, S. Singh, Majed A. Alotaibi, Hasmat Malik, Mohammed E. Nassar
    Energy Reports, 2024
    The performance of power networks is enhanced by the penetration of solar energy, which helps to equate continuously the generation and demand power imbalance. However, the time margin that grids must adapt to unforeseen frequency fluctuations and restore generation-demand equivalency is reduced by these linkages. Consequently, it exerts the stability and performance of the power grid at risk. Thus, it becomes vital to assess real-time system data and to recognize and implement suitable remedies to maintain a healthy system performance. In order to improve grid stability in power networks that have solar energy penetration, this manuscript suggests a data driven integrated framework. The proposed approach is a two-step framework wherein the first stage assesses impending transient instability in the system through novel Instability Evaluation (IE). Step two involves creating and deploying a Decision Boundary based Control (DBC) to stabilize an unstable system following an emergency control strategy. An IE module employing short-synchronized movement data is presented for evaluating post-disturbance transient stability (TS). In the initial cycles following the fault initiation, the IE projects the impending transient instability. Next, an innovative DBC creates an emergency remedial system for unstable processes that determines the nature, magnitude and location of the remedial action. The DBC assesses pertinent action sets that it implements to sustain system stability using a proposed Decision Assisted Inference (DAI) technique. The simulation investigations validate the aptness of suggested analysis on the performance of power system with and without PV and topological variations.
  • A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)
    Bhuwan Pratap Singh, Sunil Kumar Goyal, Shahbaz Ahmed Siddiqui, Divya Rishi Shrivastava, Satyendra Singh, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Asyraf Afthanorhan
    International Journal of Mathematical Engineering and Management Sciences, 2024
    Effective microgrid control for system recovery and restoring normal operation necessitates fast event detection and implementation of remedial action (if need arises). However, fast and reliable event detection in microgrids is challenging because of low observability and inconsistencies in measurements. A novel technique is proposed in the present work for the real-time event detection and to identify the various emerging abnormalities in the microgrid. The continuous energy signature using TKEO (Teager-Kaiser Energy Operator) of the continuous varying voltage and frequency signal are extracted through μPMU. REII (Robust Event Identification Index) is constructed from these energy signatures and based on its abrupt post-event deviation from the nominal values an event is flagged in the proposed method. The proposed method is data–driven and only depends on the real-time inputs through μPMUs thus it automatically adapts the uncertainties associated with the intermittent sources of energy in the microgrid under different operating conditions. The traditional event detection techniques fail in identification of abnormalities for a microgrid connected to the transmission systems and equipped with multiple DERs such as PVDG, WG etc. To address this challenge, an integrated microgrid with multiple DERs viz. PVDG, WG and a SG (Synchronous Generator) is first developed in this work. The complexity of simultaneous operation of a static generator i.e. PVDG along with a rotor-based generator such as WG and SG is handled by the modeling the dynamic controllers of PVDG and WG for their frequency and voltage control. The simulation results depict the efficiency, accuracy and robustness of the proposed technique in terms of estimation time, event accuracy and applicability in all types of events. Moreover, the presented methodology is also compared with the four AI/ML based methods to highlight the superiority of the method.
  • Synchronized Data-driven Composite Scheme for Augmenting Power Grid Stability
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Arabian Journal for Science and Engineering, 2024
  • Microbial fuel Cell-based Co-generation system for bioethanol production and power management solution
    Akansha Shrivastava, Divya Rishi Shrivastava, Rakesh Kumar Sharma
    Fuel, 2023
  • Transient stability assessment of power system with solar PV energy penetration through DIgSILENT power factory and Python
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Aip Conference Proceedings, 2023
  • New Data Driven Scheme for Real-Time Power System Transient Stability Assessment
    Divya Rishi Shrivastava, Shahbaz A. Siddiqui, Kusum Verma
    Journal of Electrical Engineering and Technology, 2023
  • Enhanced Real-Time Power System Monitoring by Detecting Event Signature
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Lecture Notes in Electrical Engineering, 2023
  • Data-Driven Unified Scheme to Enhance the Stability of Solar Energy Integrated Power System in Real-Time
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma, Satyendra Singh, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez
    IEEE Access, 2023
  • Model Free Data-Driven Scheme to Assess Transient Instability of Solar Energy Penetrated Power System
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    2022 22nd National Power Systems Conference Npsc 2022, 2022
  • Model free Robust Real-Time severity analyser using PMU measurements
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    International Journal of Electrical Power and Energy Systems, 2021
  • A new synchronized data-driven-based comprehensive approach to enhance real-time situational awareness of power system
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    International Transactions on Electrical Energy Systems, 2021
  • Data-driven wide-area situation analyzer for power system event detection and severity assessment
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Power Systems, 2021
  • Reactive Power Control of Stand-Alone Hybrid Power System Using Genetic Algorithm and Particle Swarm Optimization
    Abhijeet Vijay Kotwal, Divya Rishi Shrivastava, Priyank Singh Hada
    Lecture Notes in Electrical Engineering, 2021
  • ZnO nanoparticles based dye sensitized solar cell: Fabrication and characterization
    Anupam Agrawal, Shahbaz A. Siddiqui, Amit Soni, G. D. Sharma, Divya Rishi Shrivastava
    Aip Conference Proceedings, 2020
  • Synchrophasor measurements assisted Naïve bayes classification based real-time transient stability prediction of power system
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Lecture Notes in Electrical Engineering, 2020
  • Interfacing python with DIgSILENT power factory: Automation of tasks
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Lecture Notes in Electrical Engineering, 2020
  • Optimal PMU placement for coordinated observability of power system under contingencies
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    IEEE International Conference on Circuits and Systems Iccs 2017, 2017
  • Optimal PMU Placement for Complete Power System Observability under (P-1) Contingency
    Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma
    Wiecon Ece 2017 IEEE International Wie Conference on Electrical and Computer Engineering 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Mechanistic insights of smart biofilms in environmental bio-monitoring: from growth to detection
    A Shrivastava, V Mishra, DR Shrivastava
    Microbial Cell Factories , 2026
    2026
    Citations: 1
  • Integer Linear Programming–Based Optimal PMU Placement for Reduced Synchronized Data Burden
    DR Shrivastava, SA Siddiqui
    Advanced Solid-state Devices for Emerging Nanotechnologies, 249-257 , 2025
    2025
  • A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness
    DR Shrivastava, SA Siddiqui
    Measurement 253, 117590 , 2025
    2025
    Citations: 2
  • A NOVEL CONTROL FRAMEWORK (NCF) TO IMPROVE REAL-TIME STABILITY IN SOLARINTEGRATED POWER GRIDS
    DR Shrivastava, SA Siddiqui
    IN Patent 202,411,099,829 , 2025
    2025
  • UNDERSTANDING MUSTARD APHID (LIPAPHIS ERYSIMI) INFESTATION UNDER AGRO-CLIMATIC VARIABILITY: EVIDENCE FROM NICRA DEMONSTRATION ON TEMPERATURE, HUMIDITY, AND FARMER AWARENESS
    RK MISHRA, HK SINHA, DRK AHIRWAR, DR SINGH, DR SHRIVASTAVA
    INTERNATIONAL JOURNAL 8 (3), 31-34 , 2025
    2025
  • A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)
    BP Singh, SK Goyal, SA Siddiqui, DR Shrivastava, S Singh, MA Alotaibi, ...
    International Journal of Mathematical, Engineering and Management Sciences 9 … , 2024
    2024
    Citations: 2
  • A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability
    DR Shrivastava, SA Siddiqui, K Verma, S Singh, MA Alotaibi, H Malik, ...
    Energy Reports 11, 895-907 , 2024
    2024
    Citations: 7
  • A LEVERAGING COORDINATED PSS AND TCSC FACTS DEVICE-BASED METHOD FOR POWER SYSTEM OSCILLATION DAMPING
    DR Shrivastava
    IN Patent App. 202411031636 A , 2024
    2024
  • Synchronized Data-driven Composite Scheme for Augmenting Power Grid Stability
    DR Shrivastava, SA Siddiqui, K Verma
    Arabian Journal for Science and Engineering 49 (5), 6831-6846 , 2024
    2024
    Citations: 1
  • Optimizing storage conditions for Bael (Aegle marmelos) powder through EMC modelling
    C Kumar, DRM SHRIVASTAVA
    INTERNATIONAL JOURNAL 8 (11), 1112-1118 , 2024
    2024
  • STABILITY ANALYSIS OF YIELD AND ITS COMPONENTS IN SAFFLOWER (CARTHAMUS TINCTORIOUS L.)
    DRR SHRIVASTAVA, D SAHU
    INTERNATIONAL JOURNAL 8 (12), 292-297 , 2024
    2024
  • A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability. Energy Rep 11: 895–907
    DR Shrivastava
    2024
    Citations: 13
  • MORPHOMETRIC ANALYSIS OF KHARUN RIVER BASIN CHHATTISGARH, INDIA
    PK NAG, DR SHRIVASTAVA
    IOSR JOURNAL OF APPLIED GEOLOGY AND GEOPHYSICS Учредители: International … , 2024
    2024
  • THE PROBLEMS FACED BY THE RICE GROWERS AND OBTAIN THE SUGGESTIONS FROM THEM REGARDING ADOPTION OF CONTROL MEASURES PRACTICES OF DIFFERENT INSECT PESTS IN RICE CROP IN JANJGIR …
    DR SHAW, DR SHRIVASTAVA
    INTERNATIONAL JOURNAL 8 (12S), 445-447 , 2024
    2024
  • AUGMENTING CROP RESIDUE AND NUTRIENT MANAGEMENT FOR SUSTAINABLE MAIZE-MUSTARD CROPPING SYSTEM
    AK LAKRA, DR NANDEHA, DR SHRIVASTAVA, DRA PATEL
    INTERNATIONAL JOURNAL 8 (9), 192-196 , 2024
    2024
  • A Fast Real-Time Transient Stability Estimation for Enhanced Situational Awareness
    DR Shrivastava, SA Siddiqui, H Malik, CDR Gallegos, TS Ustun
    International Conference on Signal, Machines, Automation, and Algorithm, 291-301 , 2023
    2023
  • Leveraging Synchronized Measurements for Novel Wide-Area Event Detector
    DR Shrivastava, SA Siddiqui, K Verma, S Singh, H Malik, SM Ayob, ...
    International Conference on Signal, Machines, Automation, and Algorithm, 751-762 , 2023
    2023
  • REAL-TIME POWER SYSTEM TRANSIENT STABILITY ASSESSMENT USING A NEW DATA-DRIVEN TECHNIQUE
    DR Shrivastava, SA Siddiqui, K Verma
    IN Patent App. 202311070060 A , 2023
    2023
  • Data-driven unified scheme to enhance the stability of solar energy integrated power system in real-time
    DR Shrivastava, SA Siddiqui, K Verma, S Singh, MA Alotaibi, H Malik, ...
    IEEE Access 11, 118443-118461 , 2023
    2023
    Citations: 2
  • Microbial fuel cell-based co-generation system for bioethanol production and power management solution
    A Shrivastava, DR Shrivastava, RK Sharma
    Fuel 350, 128843 , 2023
    2023
    Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal PMU placement for coordinated observability of power system under contingencies
    DR Shrivastava, SA Siddiqui, K Verma
    2017 IEEE International Conference on Circuits and Systems (ICCS), 334-339 , 2017
    2017
    Citations: 16
  • A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability. Energy Rep 11: 895–907
    DR Shrivastava
    2024
    Citations: 13
  • A new synchronized data‐driven‐based comprehensive approach to enhance real‐time situational awareness of power system
    DR Shrivastava, SA Siddiqui, K Verma
    International Transactions on Electrical Energy Systems 31 (5), e12887 , 2021
    2021
    Citations: 13
  • Optimal PMU placement for complete power system observability under (P–1) contingency
    DR Shrivastava, SA Siddiqui, K Verma
    2017 IEEE International WIE Conference on Electrical and Computer … , 2017
    2017
    Citations: 12
  • New data driven scheme for real-time power system transient stability assessment
    DR Shrivastava, SA Siddiqui, K Verma
    Journal of Electrical Engineering & Technology 18 (3), 1745-1756 , 2023
    2023
    Citations: 9
  • Microbial fuel cell-based co-generation system for bioethanol production and power management solution
    A Shrivastava, DR Shrivastava, RK Sharma
    Fuel 350, 128843 , 2023
    2023
    Citations: 8
  • Early Alzheimer’s Detection Using Random Forest Algorithm
    P Kolte, N Rabra, A Shrivastava, A Khadatkar, H Choudhary, ...
    2023 International Conference on Signal Processing, Computation, Electronics … , 2023
    2023
    Citations: 8
  • Model free robust real-time severity analyser using PMU measurements
    DR Shrivastava, SA Siddiqui, K Verma
    International Journal of Electrical Power & Energy Systems 133, 107333 , 2021
    2021
    Citations: 8
  • A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability
    DR Shrivastava, SA Siddiqui, K Verma, S Singh, MA Alotaibi, H Malik, ...
    Energy Reports 11, 895-907 , 2024
    2024
    Citations: 7
  • Interfacing python with DIgSILENT power factory: automation of tasks
    DR Shrivastava, SA Siddiqui, K Verma
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of … , 2019
    2019
    Citations: 6
  • Enhanced real-time power system monitoring by detecting event signature
    DR Shrivastava, SA Siddiqui, K Verma
    Flexible Electronics for Electric Vehicles: Select Proceedings of FlexEV … , 2022
    2022
    Citations: 4
  • ZnO nanoparticles based dye sensitized solar cell: Fabrication and characterization
    A Agrawal, SA Siddiqui, A Soni, GD Sharma, DR Shrivastava
    AIP Conference Proceedings 2294 (1), 030005 , 2020
    2020
    Citations: 4
  • Data-driven wide-area situation analyzer for power system event detection and severity assessment
    DR Shrivastava, SA Siddiqui, K Verma
    Wide Area Power Systems Stability, Protection, and Security, 481-498 , 2020
    2020
    Citations: 4
  • A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness
    DR Shrivastava, SA Siddiqui
    Measurement 253, 117590 , 2025
    2025
    Citations: 2
  • A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)
    BP Singh, SK Goyal, SA Siddiqui, DR Shrivastava, S Singh, MA Alotaibi, ...
    International Journal of Mathematical, Engineering and Management Sciences 9 … , 2024
    2024
    Citations: 2
  • Data-driven unified scheme to enhance the stability of solar energy integrated power system in real-time
    DR Shrivastava, SA Siddiqui, K Verma, S Singh, MA Alotaibi, H Malik, ...
    IEEE Access 11, 118443-118461 , 2023
    2023
    Citations: 2
  • Cognitive occupancy appraisal for sustainable housing
    DRB SHRIVASTAVA, DRN KUMAR
    INTERNATIONAL JOURNAL 9 (1), 68-72 , 2020
    2020
    Citations: 2
  • Mechanistic insights of smart biofilms in environmental bio-monitoring: from growth to detection
    A Shrivastava, V Mishra, DR Shrivastava
    Microbial Cell Factories , 2026
    2026
    Citations: 1
  • Synchronized Data-driven Composite Scheme for Augmenting Power Grid Stability
    DR Shrivastava, SA Siddiqui, K Verma
    Arabian Journal for Science and Engineering 49 (5), 6831-6846 , 2024
    2024
    Citations: 1
  • Transient stability assessment of power system with solar PV energy penetration through DIgSILENT power factory and Python
    DR Shrivastava, SA Siddiqui, K Verma
    EMERGING TECHNOLOGIES; MICRO TO NANO: Proceedings of ETMN-2021 2752 (1), 080008 , 2023
    2023
    Citations: 1