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Siting and sizing of dg for maximum cost saving in distribution system with increasing load scenario using fuzzy and water flow-like algorithm


Affiliations
1 Research Scholar, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, India
2 Professor, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, India
     

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This paper presents Distribution Generation (DG) placement in distribution systemsbased on cost objective function for a planning period of 10 years. The benefit of DG when connected to the grid mainly depends on the location and size of the same. The real loss index and voltage index were calculated and given as inputs to fuzzy inference system to generate DG location index. The high index values are prioritised in giving for DG locations. Water flow-like algorithm (WFA) is computed for finding the optimal size of DG which will maximise the objective function resulting in the saving for the system. In this paper, interest and inflation rates were taken into consideration to estimate the present cost value of the system. The result analyses are compared for constant load and increasing loadscenarios. It is observed that the invested price on DG is recovered within the planning period. The proposed approach is tested on an IEEE 33-bus system and the results obtained were presented.

Keywords

Distributed Generation; fuzzy logic approach; ieee 33-bus system; increasing load scenario, cost analysis of dg, water flow-like algorithm
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  • Siting and sizing of dg for maximum cost saving in distribution system with increasing load scenario using fuzzy and water flow-like algorithm

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Authors

K. Dhananjaya babu
Research Scholar, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, India
A. Lakshmi Devi
Professor, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, India

Abstract


This paper presents Distribution Generation (DG) placement in distribution systemsbased on cost objective function for a planning period of 10 years. The benefit of DG when connected to the grid mainly depends on the location and size of the same. The real loss index and voltage index were calculated and given as inputs to fuzzy inference system to generate DG location index. The high index values are prioritised in giving for DG locations. Water flow-like algorithm (WFA) is computed for finding the optimal size of DG which will maximise the objective function resulting in the saving for the system. In this paper, interest and inflation rates were taken into consideration to estimate the present cost value of the system. The result analyses are compared for constant load and increasing loadscenarios. It is observed that the invested price on DG is recovered within the planning period. The proposed approach is tested on an IEEE 33-bus system and the results obtained were presented.

Keywords


Distributed Generation; fuzzy logic approach; ieee 33-bus system; increasing load scenario, cost analysis of dg, water flow-like algorithm



DOI: https://doi.org/10.33686/prj.v13i3.189235