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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. OPTIMAL ALLOCATION USING SPSO TECHNIQUE AND SIZE REDUCTION OF DISTRIBUTED GENERATED SYSTEM FOR ACTIVE POWER LOSS REDUCTION
    Ramajeyam S and Elango K
    Journal of Data Acquisition and Processing, 2023, 38 (1): 3161-3174 . 

    Abstract

    Distributed generators (DG) play a critical role in reducing power outages and increasing grid reliability. The range of 0–50% of total load is taken into account for the maximum DG penetration level. The proposed methodology for solving the problem has been built and tested on the IEEE 69 standard bus systems. By contrasting the results of the suggested algorithm's tests with those of the most recent optimization methods, it has been shown that the former performs better. Using the EUROSTAG software, we plan to make a number of enhancements to this paper. Selective Particle Swarm Optimization (SPSO)is used to accomplish the methods presented in this paper. We plan to use the same approach for placing several distributed generators in primary distribution networks in our research paper. To minimize losses in the DG equipment is our primary objective here.

    Keyword

    Distributed generation, Radial distribution system, Voltage profile, Optimal Allocation, Renewable Distribution Generation, International Energy Agency, etc


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ISSN 1004-9037

         

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