Application of Harmony Search Algorithm to Reservoir Operation Optimization

Abstract

In this study, a meta-heuristic technique called harmony search (HS) algorithm is developed for reservoir operation optimization with respect to flood control. The HS algorithm is used to minimize the water supply deficit and flood damages downstream of a reservoir. The GIS database is used to determine the flood damage functions. The efficacy of HS algorithm is evaluated in comparison with other techniques by using a benchmark problem for a single reservoir operation optimization problem. HS showed promising results in terms of speed of convergence to an optimal objective function value compared with other techniques such as honey-bee mating optimization (HBMO) and a global optimization model (LINGO 8.0 NLP solver). The HS algorithm is then applied to the Narmab reservoir, north of Iran, as a case study. Narmab reservoir serves multiple purposes including irrigation, flood control, and drinking water requirements. The developed model is applied for monthly operation. The results show that the HS algorithm can be effectively used for operation of reservoir for flood management.

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

“…Thus, the enhancement of the operational policy of the reservoirs is essential [27,36], and the simulation of reservoirs along with the optimization algorithms can be an efficient and effective methodology for fine-tuning the rule curves [16,35]. The operation of the reservoir is a large scale multi-objective optimization problem, involving agriculture, hydrology, hydropower, reliability, and environment flows [37][38][39].…”

“…non-differentiable, discontinuous, non-convex, and multimodal [23,31,46], have been accounted in numerous researches. Evolutionary algorithms (EAs) have been comprehensively employed to a number of extents of water resources over the last decade, such as urban drainage and sewage schemes [55], water distribution systems [39,56], hydrologic and fluvial models [1], and water supply and sewage treatment systems [13,44,55].…”

Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers

“…Dai et al [21] illustrated that HS had better extrapolation and exploitation ability in multi-objective optimization problems. Bashiri-Atrabi et al [22] applied harmony search algorithm for reservoir operation optimization with respect to flood control. The HS algorithm was used to minimize the water supply deficit and flood damages downstream of a reservoir.…”

Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Management Under Uncertainty

“…To this end, mathematical optimisation can be used to derive the rule curves; with a welldefined and reproducible computational framework, the rule curves can also be regularly updated, and thus remain relevant, even under external evolutions. Most current optimisation techniques [21] are based on evolutionary computations [3] (mainly genetic algorithms [14], sometimes coupled with simulation [25]; newcomers like harmony search are gaining traction in the community [5]). In contrast to them, mathematical optimisation [20,29] can provide global-optimality guarantees while having acceptable computational time requirements (under some assumptions, such as convexity), which this article demonstrates in the case of long-term rule curves.…”