Reactive power dispatch using Big Bang-Big Crunch optimization algorithm for voltage stability enhancement

Zandi, Z.; Afjei, E.; Sedighizadeh, Mostafa

doi:10.1109/pecon.2012.6450215

Cited by 20 publications

(10 citation statements)

References 16 publications

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“…• Power system (Sedighizadeh and Arzaghi-Haris 2011;Dincel and Genc 2012;Kucuktezcan and Gen 2012;Zandi et al 2012). …”

Section: Discussionmentioning

confidence: 99%

Big Bang–Big Crunch Algorithm

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

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In this chapter, the big bang-big crunch (BB-BC), a global optimization method inspired from one of the cosmological theories known as closed universe, is introduced. We first, in Sect. 18.1, describe the background knowledge regarding the big bang and big crunch. Then, Sect. 18.2 details the fundamentals of BB-BC, the selected variants of BB-BC, and the representative BB-BC application, respectively. Finally, Sect. 18.3 draws the conclusions of this chapter. IntroductionCosmological theory is an exciting subject, because it shows how the universe happens, moves, and revolutions. One of the fascinating topics is where all of the stars and galaxies came from (and how, and why)? This question has long been explored by the physics. For example, two famous physics, i.e., Sir Isaac Newton and Albert Einstein, believed that the universe is unchanging and introduced a term, called cosmological constant. However, this would prove to be a mistake. In 1929, astronomer Edwin Hubble discovered that the universe was expanding. He found that in the early universe, gravity was very strong, as a result of the concentration of matter in a very small space-so small, in fact, that it was compressed down to a single point. Thus, it would suffer an incredible pressure and has expanded ever since, known as the big bang. This event was controversial until 1965, when an accidental discovery supported the theory. Today, the most advanced astronomical observations show that the big bang theory is likely true.Scientists were originally very upset by the big bang theory, because they believed in an eternal universe (i.e., the universe does not change over time). However, they concerned soon with another question of what is the ultimate fate of the universe? One idea that was popular was that the universe would expand until gravity began to pull it back, resulting in a big crunch, where all matter returned to a single unified point-and then the cycle of expansion would start all over again. This hypothesis is known as closed universe. What happens after that? We cannot exactly tell for now. Big BangLiterally, every bit of matter and energy in our universe was created through a singular event (i.e., the unimaginable crucible of heat and light) that we call the big bang (Bauer and Westfall 2011). Just for the record, it was neither big (in fact, it was very small and fit onto the head of a pin), nor was there a bang. This event happened 13:73 AE 0:12 ð Þ Â 10 9 years ago. Although this theory is not perfect, and over time physics made efforts in order to make it more consistent. One thing is true that the universe was well on its way to becoming what we observe today: filled with galaxies, stars, planets, and all other sorts of strange and exotic things. Big CrunchOne hypothesis that the future of the universe is called big crunch model, which means that the universe contracts back into a point of mass. This will proceed almost exactly like the big bang, except in reverse. Whether the expansion of the universe will take place forever...

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“…• Power system (Sedighizadeh and Arzaghi-Haris 2011;Dincel and Genc 2012;Kucuktezcan and Gen 2012;Zandi et al 2012). …”

Section: Discussionmentioning

confidence: 99%

Big Bang–Big Crunch Algorithm

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

View full text Add to dashboard Cite

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“…Hatamlou, Abdullah, and Hatamlou (2011) used the BB-BC algorithm for clustering of data (Peng & Ouyang, 2014;Gonçalves, Nikkilä, & Vigário, 2014;Coletta, Hruschka, Acharya, & Ghosh, 2015). Zandi, Afjei, and Sedighizadeh (2012) applied the BB-BC algorithm to solve the reactive power dispatch problem. Other applications of the BB-BC algorithm include target tracking (Genc, Eksin, & Erol, 2010), smart homes (Prudhvi, 2011), and course timetabling (Jaradat & Ayob, 2010).…”

Section: Applicationsmentioning

confidence: 99%

Physics‐based search and optimization: Inspirations from nature

Siddique

Adeli

2016

Expert Systems

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“…For the algorithms that are not bio-inspired, most have been developed by mimicking certain physical and/or chemical laws, including electrical charges, gravity, river systems, etc. The typical physics and chemistry inspired met heuristic algorithms include Big Bang-big Crunch optimization algorithm [7], Black hole algorithm [8], Central force optimization algorithm [9], Charged system search algorithm [10], Electro-magnetism optimization algorithm [11], Galaxy-based search algorithm [12], Harmony search algorithm [13], Intelligent water…”

Section: Introductionmentioning

confidence: 99%

Function Optimization and Parameter Performance Analysis Based on Gravitation Search Algorithm

Wang

Song

2015

Algorithms

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Abstract:The gravitational search algorithm (GSA) is a kind of swarm intelligence optimization algorithm based on the law of gravitation. The parameter initialization of all swarm intelligence optimization algorithms has an important influence on the global optimization ability. Seen from the basic principle of GSA, the convergence rate of GSA is determined by the gravitational constant and the acceleration of the particles. The optimization performances on six typical test functions are verified by the simulation experiments. The simulation results show that the convergence speed of the GSA algorithm is relatively sensitive to the setting of the algorithm parameters, and the GSA parameter can be used flexibly to improve the algorithm's convergence velocity and improve the accuracy of the solutions.

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Reactive power dispatch using Big Bang-Big Crunch optimization algorithm for voltage stability enhancement

Cited by 20 publications

References 16 publications

Big Bang–Big Crunch Algorithm

Big Bang–Big Crunch Algorithm

Physics‐based search and optimization: Inspirations from nature

Function Optimization and Parameter Performance Analysis Based on Gravitation Search Algorithm

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