Future search algorithm for optimal integration of distributed generation and electric vehicle fleets in radial distribution networks considering techno-environmental aspects
Distributed generation; Electric distribution networks; Electric vehicle fleet; Greenhouse gas emission minimization; Loss minimization; Voltage stability enhancement
In this paper, a new nature-inspire meta-heuristic algorithm called future search algorithm (FSA) is proposed for the first time to solve the simultaneous optimal allocation of distribution generation (DG) and electric vehicle (EV) fleets considering techno-environmental aspects in the operation and control of radial distribution networks (RDN). By imitating the human behavior in getting fruitful life, the FSA starts arbitrary search, discovers neighborhood best people in different nations and looks at worldwide best individuals to arrive at an ideal solution. A techno-environmental multi-objective function is formulated using real power loss, voltage stability index. The active and reactive power compensation limits and different operational constraints of RDN are considered while minimizing the proposed objective function. Post optimization, the impact of DGs on conventional energy sources is analyzed by evaluating their greenhouse gas emission. The effectiveness of the proposed methodology is presented using different case studies on Indian practical 106-bus agriculture feeder for DGs and 36-bus rural residential feeder for simultaneous allocation of DGs and EV fleets. Also, the superiority of FSA in terms of global optima, convergence characteristics is compared with various other recent heuristic algorithms. 2021, The Author(s).
Janamala V.; Kamal Kumar U.; Pandraju T.K.S.
https://doi.org/10.1007/s42452-021-04466-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102691069&doi=10.1007%2fs42452-021-04466-y&partnerID=40&md5=6c0b1dfa27b59b51f9aa542b7a9ad17f
Janamala V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed To Be University), Bangalore, 560 074, Karnataka, India; Kamal Kumar U., Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupati, 517 102, Andhra Pradesh, India; Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, 521 139, Andhra Pradesh, India