A Derivative Free Non-Linear Programming Method for the Optimal Setting of PATs to Be Used in a Hybrid Genetic Algorithm: A Preliminary Work

Proceedings

Cozzolino, Luca¹  Cimorelli, Luigi²  D’Aniello, Andrea³  Pianese, Domenico⁴ 

[1] Author to whom correspondence should be addressed.;Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, 80125 Naples, Italy;Department of Engineering, University of Naples Parthenope, Centro Direzionale di Napoli, 80143 Naples, Italy;Presented at the 3rd EWaS International Conference on “Insights on the Water-Energy-Food Nexus”, Lefkada Island, Greece, 27–30 June 2018.

关键词: Hybrid Genetic Algorithm;    pressure management;    energy recovery;    PATs;   

DOI  :  10.3390/proceedings2110684

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

In recent years, recovering energy while managing excessive pressure in water distribution networks (WDNs) has gradually taken hold through the use of Pumps as Turbines (PATs). Therefore, algorithms commonly used for the optimizations of WDNs require modifications to incorporate these devices. Within this study, an intermediate step toward a new Hybrid Genetic Algorithm (HGA) for the optimal placement and setting of PATs within WDNs is proposed. The described methodology is based on a non-linear optimization algorithm, the Powell Direction Set (PDS) method. For each WDN configuration with PATs, a non-linear univariate function, namely the energy production subjected to pressure and technical constraints, is maximized by the PDS method. The promising capabilities of the algorithm are demonstrated with a case study.

【 授权许可】

CC BY