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APPLICATION OF LIFE ALGORITHM TO POWER PLANT OPERATION

机译:寿命算法在电厂运行中的应用

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Increasing demand for energy has made power plants bigger and more complex. Thus, their maintenance today needs a very large amount of cost and trouble and once their layouts and operational procedures are fixed, it is very difficult to modify them. To meet the growing demand for energy and to solve such problems, an autonomous system is desired in order to secure more robustness and flexibility. This work is a first step toward establishing such an autonomous System using the concept of Life Algorithm. Life Algorithm (LA) is fundamentally an extension of genetic algorithm. While the conventional GA approach is based on genes and is homogeneous in its essence, LA is something more like a genome and realizes more diversity, and a group of genes each of which has its different evaluation function is considered. Thus, more individuality and more interaction between these groups can be taken into account and more robustness to cope with the widely and quickly changing environment can be realized. This paper demonstrates the usefulness of LA approach to power plant operation by the experiment of a solar cell system.
机译:对能源需求的增加使电厂更大,更复杂。因此,今天的维护需要一个非常大量的成本和麻烦,并且一旦它们的布局和运营程序是固定的,很难修改它们。为了满足不断增长的能源需求和解决这些问题,需要一种自治系统,以确保更加稳健和灵活性。这项工作是使用寿命算法概念建立这样一个自治系统的第一步。生命算法(LA)基本上是遗传算法的延伸。虽然传统的GA方法基于基因,但在其本质上均匀,LA更像是基因组,并且实现了更多的多样性,并且一组基因被认为是其不同的评估功能。因此,可以考虑更多的个性和更多的个性和更多的相互作用,并且可以实现与广泛而快速的改变环境的更具鲁棒性。本文通过太阳能电池系统的实验说明了LA方法对发电厂运行的有用性。

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