Application of multi-objective optimization algorithm for siting and sizing of distributed generations in distribution n
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Application of multi‑objective optimization algorithm for siting and sizing of distributed generations in distribution networks J. Rajalakshmi1 · S. Durairaj2 Accepted: 9 December 2020 © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021
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 problemdependent 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
* J. Rajalakshmi [email protected]; [email protected] S. Durairaj [email protected] 1
Department of EEE, Fatima Michael College of Engineering and Technology, Madurai, India
2
Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamilnadu, India
13
Vol.:(0123456789)
Journal of Combinatorial Optimization
1 Introduction Increasing electricity demand, greenhouse gases (GHG) emission and global warming have shifted the attention of power system planners on local power generation by using DGs at the distribution voltage level (Acharya et al. 2006; Ackermann et al. 2001). DGs can be either be connected or disconnected from the main grid and thereby can provide maximum flexibility and expandability. DGs can maximize the power quality, reliability, and security of DS. Moreover, DGs are able to minimize power losses and transmission congestion (Koeppel 2003; Viral and Khatod 2012).These possible benefits cannot be achieved until the DGs have been placed optimally in the DS with appropriate size. If the site and size of DGs are not optimal, the DS may experience several problems such as deplorable voltage profile, waning voltage stability, and imprecise functioning of the protection devices. The graphical representation of the process of siting and sizing of DGs in DS has been illustrated in Fig. 1. Optimal sites and sizes of DGs can be attained b
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