Application of multi-objective optimization algorithm for siting and sizing of distributed generations in distribution networks

J. Rajalakshmi () and S. Durairaj ()
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J. Rajalakshmi: Fatima Michael College of Engineering and Technology
S. Durairaj: Dhanalakshmi Srinivasan Engineering College

Journal of Combinatorial Optimization, 2021, vol. 41, issue 2, No 1, 267-289

Abstract: Abstract Multi-objective optimization for siting and sizing of Distributed Generations (DGs) is difficult because of the highly non-linear interactions of a large number of variables. Furthermore, effective optimization algorithms are often highly problem-dependent and need broad tuning, which limits their applicability to the real world. To address this issue, in this study, Multi-Objective Differential Evolution (MODE) algorithms have been proposed for siting and sizing of DGs. The site and size of DGs play a vital role in the minimization of real power losses and enhancement of voltage profile in distribution systems. This study intends to attain the technical, economic, and environmental benefits of DGs. Hence, the Objective Functions such as minimization of power losses, voltage deviation, energy cost, emissions while generating power, and enhancement of the Voltage Stability Index have been considered. The simulations of two different multi-objective operational cases have been carried out on IEEE 33 bus system, IEEE 69 bus system, and Tamil Nadu Generation and Distribution Corporation Limited, as a real part of 62 bus Indian Utility System. The simulation results of MODE have shown its superior performance and have ensured the economic and environmental benefits of integrating DGs.

Keywords: Optimization; DGs; Energy cost; Emission; Power loss (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10878-020-00681-2

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