Sistema de Controle Fuzzy Neural para Operaaao tima de Redes de Distribuiiio de gua (Neural Fuzzy Control System for Optimal Operation of Water Distribution Networks)

2017 ◽  
Author(s):  
Geraldo de Araajo Moura ◽  
Saulo de Tarso Marques Bezerra ◽  
Heber Pimentel Gomes ◽  
Simpllcio Arnaud da Silvac
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Distribution ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Water Distribution Networks ◽  
Fuzzy Control System ◽  
Fuzzy Neural ◽  
Neural Fuzzy

scholarly journals Optimal operation of water distribution networks by predictive control using MINLP

Water SA ◽  
2004 ◽  
Vol 29 (4) ◽  
Author(s):  
C Biscos ◽  
M Mulholland ◽  
M-V Le Lann ◽  
CA Buckley ◽  
CJ Brouckaert
Keyword(s):  
Predictive Control ◽  
Water Distribution ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Water Distribution Networks

Optimal Operation of Water Distribution Networks under Water Shortage Considering Water Quality

2016 ◽  
Vol 7 (3) ◽  
pp. 04016005 ◽  
Author(s):  
Mohammad Solgi ◽  
Omid Bozorg-Haddad ◽  
Samaneh Seifollahi-Aghmiuni ◽  
Parisa Ghasemi-Abiazani ◽  
Hugo A. Loáiciga
Keyword(s):  
Water Quality ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Shortage ◽  
Optimal Operation ◽  
Water Distribution Networks

scholarly journals Conceptual design of a generic, real-time, near-optimal control system for water-distribution networks

2007 ◽  
Vol 9 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Derek G Jamieson ◽  
Uri Shamir ◽  
Fernando Martinez ◽  
Marco Franchini
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Real Time ◽  
Time Use ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Hydraulic Simulation ◽  
Current State ◽  
Potential Benefits

This paper is intended to serve as an introduction to the POWADIMA research project, whose objective was to determine the feasibility and efficacy of introducing real-time, near-optimal control for water-distribution networks. With that in mind, its contents include the current state-of-the-art and some of the difficulties that would need to be addressed if the goal of near-optimal control was to be achieved. Subsequently, the approach adopted is outlined, together with the reasons for the choice. Since it would be somewhat impractical to use a conventional hydraulic simulation model for real-time, near-optimal control, the methodology includes replicating the model by an artificial neural network which, computationally, is far more efficient. Thereafter, the latter is embedded in a dynamic genetic algorithm, designed specifically for real-time use. In this way, the near-optimal control settings to meet the current demands and minimize the overall pumping costs up to the operating horizon can be derived. The programme of work undertaken in achieving this end is then described. By way of conclusion, the potential benefits arising from implementing the control system developed are briefly reviewed, as are the possibilities of using the same approach for other application areas.

Optimal operation of water distribution networks with intermediate storage facilities

2018 ◽  
Vol 119 ◽  
pp. 215-227 ◽  
Author(s):  
Varghese Kurian ◽  
Saravanan Chinnusamy ◽  
Ashok Natarajan ◽  
Sridharakumar Narasimhan ◽  
Shankar Narasimhan
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Water Distribution Networks ◽  
Intermediate Storage ◽  
Storage Facilities
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