Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms
Document Type
Article
Publication Date
1-1-2021
Abstract
In engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources. One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand patterns such as hydropower generation. Drawing optimal operation for dams and reservoirs is often categorized as discontinuity, multimodality, non-differentiability and non-convexity. Classical mathematical programming-based methods for optimization might be inappropriate or unrealizable in drawing optimal operation rules for dam and reservoir operation. During the last two decades, new optimization methods-based on nature-inspired meta-heuristic algorithms (MHAs) have motivated hydrologists to investigate MHAs as better alternative optimization tools for identifying the optimal dam and reservoir operation rules. To solve the dam and reservoir-optimization applications better, this review presents the past, present, and prospective research directions using MHAs. The problem of dam and reservoir optimization requires a fundamental shift of focus towards enhancing not only the problem formulation and decomposition but also the computational efficiency of MHAs.
Keywords
Reservoirs, Optimization, Dams, Mathematical model, Linear programming, Hydroelectric power generation, Adaptation models, Meta-heuristic algorithm, Reservoir operation, Optimization, Water resources management
Divisions
fac_eng
Funders
Universiti Malaya[RU001-2017B],Universiti Malaya[RP025C-18SUS]
Publication Title
IEEE Access
Volume
9
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA