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  Published Paper Details:

  Paper Title

AN EFFICIENT ALGORITHM FOR OPTIMIZATION OF POWER LOSS IN ECONOMIC LOAD DISPATCH

  Authors

  Anita Sahni,  Krishna Teerth Chaturvedi

  Keywords

UPQC, PSO, MOPSO, STATCOM, DSTATCOM Power, Reactive, Optimization, compensation.

  Abstract


This reactive power management in economic load dispatches plays a vital role in improving power quality of the system. The power compensation is the one of the problem in distribution network. The power is maintain the state of the UPQC (Uni?ed power quality conditioner). The UPAC controlled by the STATCOM or DSTATCOM. Different approaches use to maintain the power at needed level in the power distribution network the process done by MOPSO optimization method the MOPSO is the best for this process because we consider the lot of objective function to optimize the place of the UPQC. dissertation use the IEEE 30 bus system for analysis the demand response using the MATLAB environment. In this work proposed modify PSO based power flow is find the demand response in the IEEE bus system. And finally calculated the DG place buses and it is power to optimize the power system. Result shows that proposed work gives good result for choose the busses for balanced the power flow in IEEE system through reactive power optimization in economic load dispatch.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2108145

  Paper ID - 210811

  Page Number(s) - b303-b307

  Pubished in - Volume 9 | Issue 8 | August 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Anita Sahni,  Krishna Teerth Chaturvedi,   "AN EFFICIENT ALGORITHM FOR OPTIMIZATION OF POWER LOSS IN ECONOMIC LOAD DISPATCH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.b303-b307, August 2021, Available at :http://www.ijcrt.org/papers/IJCRT2108145.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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