Anulekha Saha

@nitsikkim.ac.in

Department of Electrical and Electronics Engineering
National Institute of Technology Sikkim

Anulekha Saha


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https://researchid.co/anulekha
14

Scopus Publications

298

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Optimal Flexibility Provision of Electric Vehicle and Photovoltaic Systems Through Probabilistic Forecasting and Unsuccessful Day-Ahead Market Integration
    Anulekha Saha, Arnon Teawnarong, Surachai Chaitusaney
    IEEE Access, 2025
    Integrating electric vehicles (EVs) and photovoltaic (PV) systems into power grids presents challenges due to uncertainties in EV charging demand and PV generation, especially with limited real-time data. Managing these uncertainties, particularly in providing optimal flexibility for EV late arrivals, early departures, and PV forecast errors, remains a key concern. This study proposes a proactive flexibility provision framework that leverages probabilistic forecasting and cumulative adjustment factors (CAFs) to dynamically refine flexibility bounds. The method optimizes local resource utilization and ensures flexibility availability, effectively managing real-time power imbalances. The program also integrates unsuccessful day-ahead market participants into real-time operations, enhancing local resource use and reducing dependence on the main grid. Numerical simulations on a 380-V low-voltage distribution system in Thailand demonstrate that the model successfully resolved all real-time power imbalances. Compared to the no-CAF baseline (61.59%), the proposed method increased utility reduction to 69.10%. Importantly, log-normal distributions with small variance (e.g., σ = 0.1 for PV and σ = 0.5 for EV) achieved consistently strong performance across mean absolute error, root mean square error, and coverage probability metrics—delivering accurate forecasts while supporting long-term contracts and grid planning. Incentives were fairly allocated and fully funded within the local energy market.
  • Fine Tuning of On-Board Traction Converters for High-Speed Electric Multiple Units at Depot
    Prasenjit Dey, Shwe Myint, Phumin Kirawanich, Anulekha Saha, Chaiyut Sumpavakup
    IEEE Access, 2024
    This article presents a meticulous exploration of on-board traction converters deployed in Electric Multiple Units (EMUs). The study involves the development of a comprehensive traction converter and control system, encompassing essential elements such as transformers, front-end rectifiers, and DC link capacitors. The precise control of the front-end rectifier’s switching states is crucial for achieving high-quality power. A new application of the advanced Hybrid Particle Swarm Optimization (Hybrid PSOS) technique for the optimization of controller parameters is presented. This parameter tuning process aims to minimize the integral time absolute error (ITAE), a critical metric governing the regulation of DC-link capacitor voltage. Simulation results showcase the impressive attributes of on-board traction converters, including low harmonic content, a high-power factor, and stable DC voltage. Additionally, a rigorous comparative analysis is conducted between Hybrid PSOS and other established algorithms like Symbiotic Organisms Search (SOS) and Particle Swarm Optimization (PSO). Hybrid PSOS traction unit outperforms SOS and PSO, with a minimal overshoot of 1.3401%, faster settling time of 0.2413 seconds, compared to SOS (0.3884 seconds) and PSO (0.5531 seconds). Total Harmonic Distortion (THD) for secondary line currents, the values are 12.48% for PSO, 2.17% for SOS, and 1.08% for Hybrid PSOS. Hybrid PSOS consistently demonstrates its superiority, significantly enhancing system performance and stability. This research underscores the substantial potential of on-board traction converters, emphasizing their role in facilitating efficient and stable electric multiple unit (EMU) operations.
  • Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer
    Prasenjit Dey, Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Boonruang Marungsri, Phumin Kirawanich, Chaiyut Sumpavakup
    Advances in Computers, 2024
  • A hybrid JAYA-SMA for demand side management based dynamic economic emission dispatch
    Bishwajit Dey, Raj Jadav, Anulekha Saha, Prasenjit Dey
    Proceedings of 2023 IEEE 2nd International Conference on Industrial Electronics Developments and Applications Icidea 2023, 2023
    When fossil fuel-powered generators produce electricity, toxic substances are emitted into the atmosphere. Power engineers have a duty to establish a compromise that would reduce dangerous gas emissions when electricity is produced profitably in addition to promoting the usage of Renewable Energy Sources (RES). Among the different combined economic emission dispatch (CEED) strategies available to solve this problem, a numerical approach termed as fractional programming (FP) method was used and compared with price penalty factor (PPF) method. The dispatchable loads are modelled using a technique known as demand side management (DSM). To reduce the cost of generation without ever reducing demand, it restructures the load demand profile. The Slime Mould Algorithm (SMA) was hybridized with JAYA and it is used in this research to achieve a balance between least generation cost and pollutants both with and without the involvement of Demand Side Management (DSM). Generation cost was minimized to ${\\$}$78032 using JAYA algorithm. This value was further reduced to ${\\$}$76757 using JAYA-SMA algorithm. Numerical data also suggest that the combined use of DSM and JAYA-SMA is superior to several commonly used algorithms in tackling dynamic economic emission dispatch problems.
  • A Realistic Approach Towards Solution of Load Frequency Control Problem in Interconnected Power Systems
    Prasenjit Dey, Anulekha Saha, Poluri Srimannarayana, Aniruddha Bhattacharya, Boonruang Marungsri
    Journal of Electrical Engineering and Technology, 2022
  • Improvement of Small-Signal Stability with the Incorporation of FACTS and PSS
    Prasenjit Dey, Anulekha Saha, Sourav Mitra, Bishwajit Dey, Aniruddha Bhattacharya, Boonruang Marungsri
    Lecture Notes in Electrical Engineering, 2021
  • Analysis of the Effects of PSS and Renewable Integration to an Inter-Area Power Network to Improve Small Signal Stability
    Prasenjit Dey, Anulekha Saha, Aniruddha Bhattacharya, Boonruang Marungsri
    Journal of Electrical Engineering and Technology, 2020
    Power system often suffers from low frequency oscillations (LFOs) which might result in instability in the long run, if allowed to sustain in the system for a long time. In order to mitigate these oscillations, power system stabilizers (PSS) are used through excitation control. Three recently developed meta-heuristic algorithms namely: Collective Decision Optimization (CDO), Grasshopper Optimization Algorithm (GOA) and Salp Swarm Algorithm (SSA) have been applied for the optimal tuning of PSS parameters for small signal stability analysis of a renewable integrated power network. This was done by designing a conventional speed-based lead-lag PSS in a multi-machine interconnected power system, whose parameters have been tuned using CDO, GOA and SSA in a way to shift all the eigenvalues associated to electromechanical modes to the left half of S plane. Comparison of the results obtained by the algorithms demonstrates the superiority of SSA over GOA and CDO to boost the overall system stability over a wide range of operating conditions. The PSS controller designed using SSA is observed to be more robust and efficient in damping out oscillations under different operating conditions.
  • HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem
    Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Ajoy Kumar Chakraborty
    Soft Computing, 2020
    This article presents a new algorithm aimed toward effective handling of the transient-stability-constrained optimal power flow (TSC_OPF) problem. The algorithm is a hybridized version of the existing differential evolution (DE) and symbiotic organism search (SOS) algorithms. It combines exploration and exploitation ability of both algorithms which results in its better performance as compared to DE and SOS acting alone. It was tested on IEEE 30 bus test system and the New England 39 bus test system. The results obtained by the proposed approach were compared with conventional TSC_OPF and also with other algorithms available in the literature. Results obtained using the proposed approach demonstrates superiority in comparison with other available algorithms in the literature.
  • A novel approach towards uncertainty modeling in multiobjective optimal power flow with renewable integration
    Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Ajoy Kumar Chakraborty
    International Transactions on Electrical Energy Systems, 2019
    This paper presents a novel methodology for solving multiobjective optimal power flow (MOPF) considering uncertain renewable generation. Two-point estimate method (2PEM) is employed to take care of the uncertainty in renewable generation. Optimal power flow (OPF) is a very challenging optimization problem to solve due to its nonlinear nature. To overcome the constraints faced by classical optimization techniques, a novel hybrid metaheuristic algorithm is designed and applied to solve the MOPF problem. Since uncertainty in generation is considered, a probabilistic approach is required. Five different algorithms have been applied to the MOPF problem using 2PEM for the sake of comparison, and results show superiority of the proposed metaheuristic in achieving optimal results.
  • Quasi-reflection-based symbiotic organisms search algorithm for solving static optimal power flow problem
    Anulekha Saha, A.K. Chakraborty, Priyanath Das
    Scientia Iranica, 2019
    This paper offers a novel variant to the existing symbiotic organisms search (SOS) algorithm, to address optimal power flow (OPF) problems considering effects of valve-point loading (VE) and prohibited zones (POZ). Problem formulation includes minimization of cost, loss, voltage stability index (VSI) and voltage deviation (VD) and simultaneous minimization of their combinations. Quadratic cost function, effects of VE and effects of both VE and POZ have been considered. OPF formulation considering effects of both VE and POZ are not yet available in the literature. Efficacy of SOS in resolving OPF is recognized in the literature. An opposition based learning technique named quasi-reflection, is merged into existing SOS to enhance its prospects of getting nearer to superior quality solution. The proposed algorithm, named quasi-reflected symbiotic organisms search (QRSOS), is assessed for IEEE 30 and IEEE 118 bus test systems. It shows promising results in reducing the objective function values of both the systems by large margins (78.98 % in case of VD when compared to SOS and NSGA-II and 46.06 % in case of loss as compared to QOTLBO in IEEE 30 and IEEE 118 bus respectively). QRSOS also outperformed its predecessors, in terms of convergence speed and global search ability.
  • A powerful metaheuristic algorithm to solve static optimal power flow problems: Symbiotic organisms search
    Anulekha Saha, , Aniruddha Bhattacharya, Ajoy Kumar Chakraborty, Priyanath Das, , , and
    International Journal on Electrical Engineering and Informatics, 2018
  • CDO - A New Metaheuristic Algorithm Towards the Solution of Transient Stability Constrained Optimal Power Flow
    Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Ajoy Kumar Chakraborty
    Ieecon 2018 6th International Electrical Engineering Congress, 2018
  • Water evaporation algorithm: A new metaheuristic algorithm towards the solution of optimal power flow
    Anulekha Saha, Priyanath Das, Ajoy Kumar Chakraborty
    Engineering Science and Technology an International Journal, 2017
  • Crow search algorithm for solving optimal power flow problem
    Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Ajoy Kumar Chakraborty
    Proceedings of the 2017 2nd IEEE International Conference on Electrical Computer and Communication Technologies Icecct 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Fine Tuning of on-board Traction Converters for High-speed Electric Multiple Units at Depot
    P Dey, S Myint, P Kirawanich, A Saha, C Sumpavakup
    IEEE Access , 2024
    2024.0
    Citations: 3
  • Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer
    P Dey, A Saha, A Bhattacharya, P Das, B Marungsri, P Kirawanich, ...
    Elsevier , 2024
    2024.0
    Citations: 3
  • A hybrid JAYA-SMA for demand side management based dynamic economic emission dispatch
    B Dey, R Jadav, A Saha, P Dey
    2023 IEEE 2nd International Conference on Industrial Electronics … , 2023
    2023.0
  • A realistic approach towards solution of load frequency control problem in interconnected power systems
    P Dey, A Saha, P Srimannarayana, A Bhattacharya, B Marungsri
    Journal of Electrical Engineering & Technology 17 (2), 759-788 , 2022
    2022.0
    Citations: 20
  • Improvement of Small-Signal Stability with the Incorporation of FACTS and PSS
    P Dey, A Saha, S Mitra, B Dey, A Bhattacharya, B Marungsri
    Control applications in modern power system, 335-344 , 2021
    2021.0
    Citations: 7
  • Analysis of the Effects of PSS and Renewable Integration to an Inter-Area Power Network to Improve Small Signal Stability
    P Dey, A Saha, A Bhattacharya, B Marungsri
    Journal of Electrical Engineering & Technology, 1-21 , 2020
    2020.0
    Citations: 21
  • HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    Soft Computing 24 (10), 7481-7510 , 2020
    2020.0
    Citations: 11
  • A novel approach towards uncertainty modeling in multiobjective optimal power flow with renewable integration
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    International Transactions on Electrical Energy Systems 29 (12), e12136 , 2019
    2019.0
    Citations: 34
  • A Powerful Metaheuristic Algorithm to Solve Static Optimal Power Flow Problems: Symbiotic Organisms Search.
    A Saha, A Bhattacharya, AK Chakraborty, P Das
    International Journal on Electrical Engineering & Informatics 10 (3) , 2018
    2018.0
    Citations: 14
  • CDO-A New Metaheuristic Algorithm Towards the Solution of Transient Stability Constrained Optimal Power Flow
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2018 International Electrical Engineering Congress (iEECON), 1-4 , 2018
    2018.0
    Citations: 6
  • Quasi-reflection based symbiotic organisms search algorithm for solving static optimal power flow problem
    PD Anulekha Saha, A.K. Chakraborty
    Scientia Iranica , 2018
    2018.0
    Citations: 20
  • Water evaporation algorithm: a new metaheuristic algorithm towards the solution of optimal power flow
    A Saha, P Das, AK Chakraborty
    Engineering Science and Technology, an International Journal 20 (6), 1540-1552 , 2017
    2017.0
    Citations: 58
  • Water evaporation optimization technique for static optimal power flow problems
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2nd IEEE International Conference for Convergence in Technology (I2CT) , 2017
    2017.0
    Citations: 1
  • Water evaporation optimization technique for static optimal power flow problems
    AKC Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das
    IEEE I2CT 2017 , 2017
    2017.0
  • Crow search algorithm for solving optimal power flow problem
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2017 Second International Conference on Electrical, Computer and … , 2017
    2017.0
    Citations: 16
  • Modelling, simulation and comparison of various FACTS devices in power system
    S Akter, A Saha, P Das
    International Journal of Engineering Research and Technology 1 (8), 1-13 , 2012
    2012.0
    Citations: 37
  • Performance analysis and comparison of various FACTS devices in power system
    A Saha, P Das, AK Chakraborty
    International Journal of Computer Applications 46 (15), 9-15 , 2012
    2012.0
    Citations: 42
  • SSA-A New Meta-heuristic Algorithm for Solving Transient Stability Constrained Optimal Power Flow
    A Saha, P Dey, A Bhattacharya, B Marungsri
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Water evaporation algorithm: a new metaheuristic algorithm towards the solution of optimal power flow
    A Saha, P Das, AK Chakraborty
    Engineering Science and Technology, an International Journal 20 (6), 1540-1552 , 2017
    2017.0
    Citations: 58
  • Performance analysis and comparison of various FACTS devices in power system
    A Saha, P Das, AK Chakraborty
    International Journal of Computer Applications 46 (15), 9-15 , 2012
    2012.0
    Citations: 42
  • Modelling, simulation and comparison of various FACTS devices in power system
    S Akter, A Saha, P Das
    International Journal of Engineering Research and Technology 1 (8), 1-13 , 2012
    2012.0
    Citations: 37
  • A novel approach towards uncertainty modeling in multiobjective optimal power flow with renewable integration
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    International Transactions on Electrical Energy Systems 29 (12), e12136 , 2019
    2019.0
    Citations: 34
  • Analysis of the Effects of PSS and Renewable Integration to an Inter-Area Power Network to Improve Small Signal Stability
    P Dey, A Saha, A Bhattacharya, B Marungsri
    Journal of Electrical Engineering & Technology, 1-21 , 2020
    2020.0
    Citations: 21
  • A realistic approach towards solution of load frequency control problem in interconnected power systems
    P Dey, A Saha, P Srimannarayana, A Bhattacharya, B Marungsri
    Journal of Electrical Engineering & Technology 17 (2), 759-788 , 2022
    2022.0
    Citations: 20
  • Quasi-reflection based symbiotic organisms search algorithm for solving static optimal power flow problem
    PD Anulekha Saha, A.K. Chakraborty
    Scientia Iranica , 2018
    2018.0
    Citations: 20
  • Crow search algorithm for solving optimal power flow problem
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2017 Second International Conference on Electrical, Computer and … , 2017
    2017.0
    Citations: 16
  • A Powerful Metaheuristic Algorithm to Solve Static Optimal Power Flow Problems: Symbiotic Organisms Search.
    A Saha, A Bhattacharya, AK Chakraborty, P Das
    International Journal on Electrical Engineering & Informatics 10 (3) , 2018
    2018.0
    Citations: 14
  • HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    Soft Computing 24 (10), 7481-7510 , 2020
    2020.0
    Citations: 11
  • Improvement of Small-Signal Stability with the Incorporation of FACTS and PSS
    P Dey, A Saha, S Mitra, B Dey, A Bhattacharya, B Marungsri
    Control applications in modern power system, 335-344 , 2021
    2021.0
    Citations: 7
  • CDO-A New Metaheuristic Algorithm Towards the Solution of Transient Stability Constrained Optimal Power Flow
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2018 International Electrical Engineering Congress (iEECON), 1-4 , 2018
    2018.0
    Citations: 6
  • SSA-A New Meta-heuristic Algorithm for Solving Transient Stability Constrained Optimal Power Flow
    A Saha, P Dey, A Bhattacharya, B Marungsri
    Citations: 5
  • Fine Tuning of on-board Traction Converters for High-speed Electric Multiple Units at Depot
    P Dey, S Myint, P Kirawanich, A Saha, C Sumpavakup
    IEEE Access , 2024
    2024.0
    Citations: 3
  • Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer
    P Dey, A Saha, A Bhattacharya, P Das, B Marungsri, P Kirawanich, ...
    Elsevier , 2024
    2024.0
    Citations: 3
  • Water evaporation optimization technique for static optimal power flow problems
    A Saha, A Bhattacharya, P Das, AK Chakraborty
    2nd IEEE International Conference for Convergence in Technology (I2CT) , 2017
    2017.0
    Citations: 1
  • A hybrid JAYA-SMA for demand side management based dynamic economic emission dispatch
    B Dey, R Jadav, A Saha, P Dey
    2023 IEEE 2nd International Conference on Industrial Electronics … , 2023
    2023.0
  • Water evaporation optimization technique for static optimal power flow problems
    AKC Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das
    IEEE I2CT 2017 , 2017
    2017.0