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- 저자 : Anulekha Saha (검색결과 2 건)
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Prasenjit Dey,Anulekha Saha,Aniruddha Bhattacharya,Boonruang Marungsri 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.5
Power system often suff ers 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 effi cient in damping out oscillations under diff erent operating conditions.
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Dey Prasenjit,Saha Anulekha,Srimannarayana Poluri,Bhattacharya Aniruddha,Marungsri Boonruang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
This paper attempts to identify the diff erent issues related to frequency oscillations in power systems and off ers newer and reliable approach to mitigate them. Load frequency control (LFC) is important to identify the error pertaining to tie-line power exchange in multi-area power systems. A practical system calls for a robust LFC system to handle variations of diff erent parameters owing to load variations. Classical LFC models available in the literature approaches this LFC problem based only on turbine inputs and swing equation and does not consider other important parameters such as stator currents, fi eld voltages, damper winding voltages and network equations etc., which renders the existing models impractical. This paper introduces detailed model using equation based LFC that considers the above parameters and has been implemented on both single and multi-area power systems for validation. For multi-area interconnected power system network, LFC is introduced considering area interchange control (AIC) concept. Integral (I), Integral derivative (ID) and proportional integral derivative (PID), controllers are used to mitigate the frequency oscillations as well as tie-line power deviation between diff erent areas. Three diff erent meta-heuristic algorithms, namely: Salp swarm algorithms (SSA), Grasshopper optimization algorithm (GOA), Collective decision optimization algorithm (CDO) have been employed to tune the controller parameters and their results have been compared. To make the analysis much more relevant to practical systems, diff erent load perturbations are also considered i.e. low, medium, and heavy load perturbation. Results obtained demonstrate the effi ciency of the proposed approach with SSA giving the best tuned parameters for the controllers studied
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