Optimization of Multireservoir Systems Operation Using Modified Direct Search Genetic Algorithm

Dariane, Alireza B.; Momtahen, Shervin

doi:10.1061/(asce)0733-9496(2009)135:3(141)

Cited by 33 publications

(14 citation statements)

References 13 publications

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“…Celeste and Billib () obtained better performance with the rule inference in the application to a single reservoir case. Dariane and Momtahen () and Ostadrahimi et al () found the opposite for three‐reservoir system case studies. The performance of the method to define the reservoir operating policy depends on issues like the system configuration, the operating goals, the system hydrology, and so forth.…”

Section: Discussionmentioning

confidence: 94%

Inferring efficient operating rules in multireservoir water resource systems: A review

Macian-Sorribes

Pulido-Velázquez

2019

WIREs Water

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Coordinated and efficient operation of water resource systems becomes essential to deal with growing demands and uncertain resources in water‐stressed regions. System analysis models and tools help address the complexities of multireservoir systems when defining operating rules. This paper reviews the state of the art in developing operating rules for multireservoir water resource systems, focusing on efficient system operation. This review focuses on how optimal operating rules can be derived and represented. Advantages and drawbacks of each approach are discussed. Major approaches to derive optimal operating rules include direct optimization of reservoir operation, embedding conditional operating rules in simulation‐optimization frameworks, and inferring rules from optimization results. Suggestions on which approach to use depend on context. Parametrization–simulation–optimization or rule inference using heuristics are promising approaches. Increased forecasting capabilities will further benefit the use of model predictive control algorithms to improve system operation. This article is categorized under: Engineering Water > Water, Health, and Sanitation Engineering Water > Methods

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Section: Discussionmentioning

confidence: 94%

Inferring efficient operating rules in multireservoir water resource systems: A review

Macian-Sorribes

Pulido-Velázquez

2019

WIREs Water

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“…Modern heuristic random search algorithms such as the Genetic Algorithm (GA) (Baskar et al, 2003;Chiang, 2007;Dariane and Momtahen, 2009), Particle Swarm Optimization (PSO) (Cai et al, 2001;Nagesh Kumar and Janga Reddy, 2007;Zhang et al, 2014), Ant Colony Optimization (ACO) (Zhou and Ji, 2007;Ji et al, 2011;Moeini and Afshar, 2013), Simulated Annealing (SA) (Basu, 2005), Evolutionary Programming (EP) (Basu, 2004;Malekmohammadi et al, 2009), Fuzzy Neural Network (FNN) (Chaves and Kojiri, 2007;Deka and Chandramouli, 2009) and Differential Evolution algorithm (DE) (Yuan et al, 2008;Yuan and Wu, 2012) have been extensively used to solve the CROO problems with nonlinear and non-convex objective functions. Many heuristic random search algorithms have been proved to possess a global convergence, while as they are affected by stochastic characteristics, they cannot guarantee a global optimum with finite iterations.…”

Section: Introductionmentioning

confidence: 99%

Contrastive analysis of three parallel modes in multi-dimensional dynamic programming and its application in cascade reservoirs operation

Zhang

Jiang

et al. 2015

Journal of Hydrology

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“…Studies on Iranian rivers are prevalently focused on a single specific issue, such as hydropower production (e.g., Karamouz et al, 2005;Dariane andMomtahen 2009), flooding (e.g., Heidari, 2009), or water quality (e.g., Dadolahi-Sohrab et al, 2012). However, these works lead to solutions that may appear effective with respect to a single point of view, but are actually unsatisfactory when evaluated from a larger, multiobjective perspective.…”

Section: Introductionmentioning

confidence: 99%

Many-Objective Direct Policy Search in the Dez and Karoun Multireservoir System, Iran

Biglarbeigi

Giuliani

Castelletti

2014

World Environmental and Water Resources Congress 2014

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In this study we propose a novel approach to design Pareto-optimal operating policies via many-objective direct policy search in the Dez and Karoun multireservoir system (Iran), where the dimension of the system, the dry climate, and the presence of competing demands pose a number of challenges to water planners and managers. The three power plants connected to the main reservoirs in the modeled system (i.e., Dez, Karoun, and Masjed Soleyman) account for 20% of the national hydropower generation capacity. Irrigation and domestic supply, especially to the city of Ahwaz, are also strategic objectives, along with flood protection downstream of the dams. Given the complexity of the Dez and Karoun system and the multiple interests involved, the design of Pareto-optimal operating policies via many-objective direct policy search, combined with their a posteriori evaluation, represents an effective tool to support sustainable water reservoirs management in Iran. Our preliminary results show that the proposed decision analytic framework allowed the identification of the set of Pareto-optimal policies and discovered key tradeoffs to eventually aid the selection of few candidate compromise solutions that balance the competing objectives.

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Optimization of Multireservoir Systems Operation Using Modified Direct Search Genetic Algorithm

Cited by 33 publications

References 13 publications

Inferring efficient operating rules in multireservoir water resource systems: A review

Inferring efficient operating rules in multireservoir water resource systems: A review

Contrastive analysis of three parallel modes in multi-dimensional dynamic programming and its application in cascade reservoirs operation

Many-Objective Direct Policy Search in the Dez and Karoun Multireservoir System, Iran

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