Reducing the Electrical Consumption in the Humidity Control Process for Electric Cells using an Intelligent Fuzzy Logic Controller

Abstract

The electrical energy distribution uses a huge network to cover the urbanized areas. The network distribution incorporates an important number of electrical cells that ensure the energy transformation. These cells play a fundamental role to ensure a permanent feeding. Thus, the performance of these cells must be optimized. The main problem that affects these cells is the inside humidity that should be controlled permanently to prevent serious damage and power failure. The presented work proposes the use of a powerful intelligent Fuzzy Logic Controller that can online adapt their internal parameters according to the actually state of the controlled plant and auto-learn from the behavior of the plant how the current humidity level can be decreased. The used controller can stabilize the humidity inside the cells within the recommended range by controlling a set of heating resistances installed inside these cells and in the same time ensuring valuable advantages for the electrical energy distribution company. Unlike the rest of the controllers that are used to stabilize moisture. The intelligent controller used in these papers ensures a very precise control with very low power consumption which trains a very significant energy savings in each electrical cell. Knowing that the distribution network incorporates a very large number of electrical cells, the final savings balance would be a very high amount of energy that can be presented economically with significant savings on the electricity bills.

Authors and Affiliations

Rafik Lasri, Larbi Choukri, Mohammed Bouhorma, Ignacio Rojas, Héctor Pomares

Keywords

Related Articles

A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification

Citation plays a vital role in the scientific community of evaluating the contributions of scientific authors. Citing sources delivers a measurable way of evaluating the impact factor of journals and authors and allows for...

 The macroeconomic effect of the information and communication technology in Hungary

  It was not until the beginning of the 1990s that the effects of information and communication technology on economic growth as well as on the profitability of enterprises raised the interest of researchers. A...

Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites

The online social communities employ several techniques to attract more users to their services. One of the essential demand of these communities is to find efficient ways to attract more users and improve their engageme...

Fuzzy Data Mining for Autism Classification of Children

Autism is a development condition linked with healthcare costs, therefore, early screening of autism symptoms can cut down on these costs. The autism screening process involves presenting a series of questions for parent...

Privacy-preserving Twitter-based Solution for Visually Impaired People

Visually impaired people is a big community all over the world. They usually seek help to perform their daily activities such as reading the expired date of food cans or medicine, reading out PIN of a certain ATM Visa, i...

Download PDF file
  • EP ID EP397354
  • DOI 10.14569/IJACSA.2016.071243
  • Views 92
  • Downloads 0

How To Cite

Rafik Lasri, Larbi Choukri, Mohammed Bouhorma, Ignacio Rojas, Héctor Pomares (2016). Reducing the Electrical Consumption in the Humidity Control Process for Electric Cells using an Intelligent Fuzzy Logic Controller. International Journal of Advanced Computer Science & Applications, 7(12), 329-336. https://europub.co.uk/articles/-A-397354