Reservoir Operation Management by Optimization and Stochastic Simulation: A Case Study

2014 ◽  
pp. 217-238
Author(s):  
Ehsan Goodarzi ◽  
Mina Ziaei ◽  
Edward Zia Hosseinipour
Keyword(s):  
Stochastic Simulation ◽  
Reservoir Operation ◽  
Operation Management

scholarly journals Evaluating robustness of dynamic reservoir management under diverse climatic uncertainties: Application to the Boryeong Reservoir in South Korea

2019 ◽  
Author(s):  
Kuk-Hyun Ahn ◽  
Young-Il Moon
Keyword(s):  
South Korea ◽  
Water Supply ◽  
Reservoir Operation ◽  
Reservoir Management ◽  
Evaluation Framework ◽  
Operation Management ◽  
Water Supply Systems ◽  
Operation Rules ◽  
Wide Range

Abstract. The implications of forecast-based reservoir operation have been considered to be innovative approaches to water management. Despite the advantages of forecast-based operations, climate-related uncertainty may discourage the utilization of forecast-based reservoir operation in water resources management. To mitigate this concern, a systematic evaluation proves helpful. This study presents an evaluation framework for reservoir management under a variety of potential climate conditions. In particular, this study uses Monte Carlo simulations to quantify the robustness of the forecast-based operation in a scenario of degraded ability of forecast skill, and demonstrates a new performance metric for robustness. This framework is described in a case study for a water supply facility in South Korea. To illustrate the framework, this study also proposes dynamic reservoir operation rules for our case study, utilizing seasonal climate information and a real-option instrument from an interconnected water system. Results provide system robustness evaluated over a wide range of defined uncertainties related to climate change. Results also suggest that the dynamic operation management adopted in this study can substantially improve reservoir performance for future climates compared to current operation management. This analysis may serve as a useful guideline to adopt dynamic management of reservoir operation for water supply systems in South Korea and other regions.

scholarly journals A Reservoir Operation Policy Using Inter-Basin Water Transfer for Maximizing Hydroelectric Benefits in Brazil

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2564 ◽  
Author(s):  
Anderson Passos de Aragão ◽  
Patrícia Teixeira Leite Asano ◽  
Ricardo de Andrade Lira Rabêlo
Keyword(s):  
Reservoir Operation ◽  
Network Flow ◽  
Water Transfer ◽  
Energy Deficit ◽  
Generation System ◽  
Operation Rules ◽  
First Case ◽  
Basin Water ◽  
Hydroelectric Plants

The Hydrothermal Coordination problem consists of determining an operation policy for hydroelectric and thermoelectric plants within a given planning horizon. In systems with a predominance of hydraulic generation, the operation policy to be adopted should specify the operation of hydroelectric plants, so that hydroelectric resources are used economically and reliably. This work proposes the implementation of reservoir operation rules, using inter-basin water transfer through an optimization model based on Network Flow and Particle Swarm Optimization (PSO). The proposed algorithm aims to obtain an optimized operation policy of power generation reservoirs and consequently to maximize the hydroelectric benefits of the hydrothermal generation system, to reduce the use of thermoelectric plants, the importation and/or energy deficit and to reduce the cost associated with meeting the demand and reduce CO2 emissions from combustion of fossil fuels used by thermoelectric plants. In order to illustrate the efficiency and effectiveness of the proposed approach, it was evaluated by optimizing two case studies using a system with four hydroelectric plants. The first case study does not consider transfer and water and the second case study uses water transfer between rivers. The obtained results illustrate that the proposed model allowed to maximize the hydroelectric resources of a hydrothermal generation system with economy and reliability.

scholarly journals Performance analysis of a reservoir in arid region Case study: Babar reservoir, Aurès region, Algeria

2018 ◽  
Vol 39 (1) ◽  
pp. 141-146 ◽  
Author(s):  
Fatima Z. Tebbi ◽  
Hadda Dridi ◽  
Mahdi Kalla
Keyword(s):  
Reservoir Operation ◽  
Arid Region ◽  
R Package ◽  
Performance Criteria ◽  
Stochastic Dynamic ◽  
Operation Optimization ◽  
Rule Curves ◽  
Demand Scenario

AbstractLong term and mid-term reservoir operation involves derivation of rule curves for optimal management of the available resource. The present work deals with reservoir operation in the Aurès arid region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all the water balance terms, especially those which are random as water inflows. For each demand scenario a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP) is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013) and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria jointly with the optimization algorithm to Re-operate Reservoir operation.

scholarly journals Fuzzy rule-based model to optimize outflow in single reservoir operation

2019 ◽  
Vol 270 ◽  
pp. 04015
Author(s):  
Edy Anto Soentoro ◽  
Nina Pebriana
Keyword(s):  
Water Availability ◽  
Reservoir Operation ◽  
Life Experiences ◽  
Real Life ◽  
Fuzzy Rule ◽  
Basic Pattern ◽  
Output Data ◽  
Data Set ◽  
Rule Based

Reservoir operations, especially those which regulate the outflow (release) volume, are crucial for the fulfillment of the purpose to build the reservoir. To get the best results, outflow (release) discharges need to be optimized to meet the objectives of the reservoir operation. A fuzzy rule-based model was used in this study because it can deal with uncertainty constraints and objects without clear or well-defined boundaries. The objective of this study is to determine the maximum total release volume based on water availability (i.e., a monthly release is equal to or more than monthly demand). The case study is located at Darma reservoir. A fuzzy rule-based model was used to optimize the monthly release volume, and the result was compared with that of NLP and the demand. The Sugeno fuzzy method was used to generate fuzzy rules from a given input-output data set that consisted of demand, inflow, storage, and release. The results of this study showed that the release of Sugeno method and the demand have the same basic pattern, in which the release fulfill the demand. The overall result showed that the fuzzy rule-based model with Sugeno method can be used for optimization based on real-life experiences from experts that are used to working in the field.

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