SPSO Based Optimal Integration of DGs in Local Distribution Systems under Extreme Load Growth for Smart Cities

Electronics

Andres Annuk¹  Saleh H. Salmen²  Sami Al Obaid²  Intisar Ali Sajjad³  Rehan Liaqat³  Mohamed A. Mohamed⁴  Udaya Dampage⁵  Mian Rizwan⁶  Muhammad Waseem⁷ 

[1] Chair of Energy Application Engineering, Institute of Technology, Estonian University of Life Sciences, 51006 Tartu, Estonia;Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia;Department of Electrical Engineering, University of Engineering and Technology, Taxila 47080, Pakistan;Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt;Faculty of Engineering, Kotelawala Defence University, Kandawala Estate, Ratmalana 10390, Sri Lanka;Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China;School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;

关键词: distributed generation;    selective particle swarm optimization;    smart cities;    renewable energy;    voltage stability;   

DOI  :  10.3390/electronics10202542

来源: DOAJ

【 摘 要 】

Renewable energy-based distributed generators (DGs) are gaining more penetration in modern grids to meet the growing demand for electrical energy. The anticipated techno-economic benefits of these eco-friendly resources require their judicious and properly sized allocation in distribution networks (DNs). The preeminent objective of this research is to determine the sizing and optimal placing of DGs in the condensed DN of a smart city. The placing and sizing problem is modeled as an optimization problem to reduce the distribution loss without violating the technical constraints. The formulated model is solved for a radial distribution system with a non-uniformly distributed load utilizing the selective particle swarm optimization (SPSO) algorithm. The intended technique decreases the power loss and perfects the voltage profile at the system’s nodes. MATLAB is used for the simulation, and the obtained results are also validated by the Electrical Transient Analysis Program (ETAP). Results show that placing optimally sized DGs at optimal system nodes offers a considerable decline in power loss with an improved voltage profile at the network’s nodes. Distribution system operators can utilize the proposed technique to realize the reliable operation of overloaded urban networks.

【 授权许可】

Unknown