In this paper, an effective methodology has been proposed for optimal allocation of renewable generation sources in the distribution system. The objective of this work is to minimize real and ...reactive power losses in the distribution systems. The output power of solar DGs mainly depends upon solar irradiance level. So, before placement of these sources random nature of solar irradiance should be effectively modeled. A beta probability density function is used to model the solar irradiance and determine the exact output power of these sources. Further, the best location for placement of solar DGs is found out using loss sensitivity factor. The optimal sizing of photo voltaic arrays corresponding to these locations is determined using firefly algorithm (FA). Different time varying load models such as residential, commercial and industrial has been considered for the study along with probabilistic generation pattern. The developed method is tested on IEEE 69 bus test system. The obtained results show that optimal allocation of solar DGs in the distribution system gives a positive impact in terms of achieving better loss reduction and voltage profile enhancement. A comparative study is made for all the load models and the importance of considering different load models is projected.
Firefly Algorithm Bozorg-Haddad, Omid; Solgi, Mohammad; Loáiciga, Hugo A
Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization,
2017, 2017-09-12, Letnik:
294
Book Chapter
This chapter describes the firefly algorithm (FA). The FA is inspired by the flashing powers of fireflies. It is a meta‐heuristic optimization algorithm. This chapter presents in sequence a brief ...literature review of the FA and its applications, the characteristics of fireflies and their mapping to the FA, a detailed description of the FA, and a pseudo code of the FA.
In this article, the nanoparticle-dye systems is designed and simulated to illustrate the possibility of enhancement in optical imaging contrast. For this, the firefly optimization technique is used ...as an optical signaling mechanism among agents (nanoparticle-dye) because fireflies attract together due to their flashing light and optical signaling that is produced by a process of bioluminescence (also it has been investigated that other parameters such as neural response and brain function have essential role in attracting fireflies to each other). The first parameter is coincided with our work, because the nanoparticle-dye systems have ability to augment of received light and its amplification cause that the designed complex system act as a brightness particle. This induced behavior of nanoparticles can be considered as an optical communication and signaling. Indeed by functionalization of nanoparticles and then due to higher brightness of the tumor site because of active targeting, the other particles can be guided to reach toward the target point and the signaling among agents is done by optical relation similar to firefly nature. Moreover, the fundamental of this work is the use of surface plasmon resonance and plasmons hybridization, in which photonic signals can be manipulated on the nanoscale and can be used in biomedical applications such as electromagnetic field enhancement. Finally, it can be mentioned that by simultaneously using plasmon hybridization, near-field augmentation, and firefly algorithm, the optical imaging contrast can be impressively improved.
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