Optimal Hedging Rules for Two-Objective Reservoir Operation: Balancing Water Supply and Environmental Flow

2016 ◽  
Vol 142 (12) ◽  
pp. 04016053 ◽  
Author(s):  
Cao Huang ◽  
Jianshi Zhao ◽  
Zhongjing Wang ◽  
Wenxiu Shang
Keyword(s):  
Water Supply ◽  
Reservoir Operation ◽  
Environmental Flow ◽  
Optimal Hedging ◽  
Hedging Rules

scholarly journals Simulation of Multipurpose Reservoir Operation with Hedging Rules

2018 ◽  
Vol 7 (3.12) ◽  
pp. 594
Author(s):  
K Sasireka ◽  
T R Neelakantan ◽  
S Suriyanarayanan
Keyword(s):  
Water Supply ◽  
Reservoir Operation ◽  
Hedging Rule ◽  
Municipal Water Supply ◽  
Storage Reservoirs ◽  
Hedging Rules ◽  
Electricity Power ◽  
Multipurpose Reservoir ◽  
Operating Rule

Reservoir operation plays an important role in the economic development of a region. The storage reservoirs are not only useful for supplying water for municipal and irrigation purpose, but also act as a protection barrier form flood, and the stored water can be used for generation of electricity power as well. To meet the objectives for which the reservoir was planned, it is vital to formulate guidelines for the operation of reservoir. This can be achieved by systematic operation of the system, and by the use of systematic and simplified rule curve for the operation of reservoir. Hedging rules are popular in drinking and irrigation water supply. Application of hedging is now gaining focus for hydropower power reservoir operation. In the present study, attempt has been made to formulate a new operating rule for multipurpose reservoir using hedging rules and the developed model was applied to a case study of Bargi reservoir in the Narmada basin in India. In order to increase the reliability of water supply for municipal, irrigation and average annual power production, the new operating rule has been developed using Standard Operation Policy (SOP) and hedging rule according to the priority of release for different purposes. The hedging rule based simulation model satisfies 97.5% of municipal water supply which is more than 8.25% of the present operational policy. The spill of the reservoir is decreased by 57 % compared to present policy. The performances of different hedging rules were compared with that of a new standard operating policies and the superiority of the hedging rules are discussed in this paper. 

scholarly journals Improvement of Downstream Flow by Modifying SWAT Reservoir Operation Considering Irrigation Water and Environmental Flow from Agricultural Reservoirs in South Korea

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2543
Author(s):  
Jinuk Kim ◽  
Jiwan Lee ◽  
Jongyoon Park ◽  
Sehoon Kim ◽  
Seongjoon Kim
Keyword(s):  
Water Supply ◽  
Water Level ◽  
Irrigation Water ◽  
Reservoir Operation ◽  
Rice Paddy ◽  
Environmental Flow ◽  
Water Levels ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Downstream Flow

This study aims to develop a reservoir operation rule adding downstream environmental flow release (EFR) to the exclusive use of irrigation water supply (IWS) from agricultural reservoirs through canals to rice paddy areas. A reservoir operation option was added in the Soil and Water Assessment Tool (SWAT) to handle both EFR and IWS. For a 366.5 km2 watershed including three agricultural reservoirs and a rice paddy irrigation area of 4744.7 ha, the SWAT was calibrated and validated using 21 years (1998–2018) of daily reservoir water levels and downstream flow data at Gongdo (GD) station. For reservoir water level and streamflow, the average root means square error (RMSE) ranged from 19.70 mm to 19.54 mm, and the coefficient of determination (R2) and Nash–Sutcliffe efficiency (NSE) had no effect on the improved SWAT. By applying the new reservoir option, the EFR amount for a day was controlled by keeping the reservoir water level up in order to ensure that the IWS was definitely satisfied in any case. The downstream mean wet streamflow (Q95) decreased to 5.70 m3/sec from 5.71 m3/sec and the mean minimum flow (Q355) increased to 1.05 m3/sec from 0.94 m3/sec. Through the development of a SWAT reservoir operation module that satisfies multiple water supply needs such as IWR and EFR, it is possible to manage agricultural water in the irrigation period and control the environmental flow in non-irrigation periods. This study provides useful information to evaluate and understand the future impacts of various changes in climate and environmental flows at other sites.

scholarly journals Piecewise-Linear Hedging Rules for Reservoir Operation with Economic and Ecologic Objectives

Water ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 865 ◽  
Author(s):  
Yueyi Liu ◽  
Jianshi Zhao ◽  
Hang Zheng
Keyword(s):  
Reservoir Operation ◽  
Piecewise Linear ◽  
Hedging Rules

scholarly journals Evaluation of contemporary evolutionary algorithms for optimization in reservoir operation and water supply

2017 ◽  
Vol 67 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Mohammad Ehteram ◽  
Hojat Karami ◽  
Sayed-Farhad Mousavi ◽  
Saeed Farzin ◽  
Ozgur Kisi
Keyword(s):  
Evolutionary Algorithms ◽  
Water Supply ◽  
Reservoir Operation

scholarly journals Optimization of Water-Supply and Hydropower Reservoir Operation Using the Charged System Search Algorithm

Hydrology ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 5 ◽  
Author(s):  
Behzad Asadieh ◽  
Abbas Afshar
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Resources Management ◽  
Reservoir Operation ◽  
Big Bang ◽  
Alternative Methods ◽  
Resources Management ◽  
Charged System Search ◽  
Non Linear ◽  
Charged System

The Charged System Search (CSS) metaheuristic algorithm is introduced to the field of water resources management and applied to derive water-supply and hydro-power operating policies for a large-scale real-world reservoir system. The optimum algorithm parameters for each reservoir operation problems are also obtained via a tuning procedure. The CSS algorithm is a metaheuristic optimization method inspired by the governing laws of electrostatics in physics and motion from the Newtonian mechanics. In this study, the CSS algorithm’s performance has been tested with benchmark problems, consisting of highly non-linear constrained and/or unconstrained real-valued mathematical models, such as the Ackley’s function and Fletcher–Powell function. The CSS algorithm is then used to optimally solve the water-supply and hydropower operation of “Dez” reservoir in southern Iran over three different operation periods of 60, 240, and 480 months, and the results are presented and compared with those obtained by other available optimization approaches including Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Constrained Big Bang–Big Crunch (CBB–BC) algorithm, as well as those obtained by gradient-based Non-Linear Programming (NLP) approach. The results demonstrate the robustness and superiority of the CSS algorithm in solving long term reservoir operation problems, compared to alternative methods. The CSS algorithm is used for the first time in the field of water resources management, and proves to be a robust, accurate, and fast convergent method in handling complex problems in this filed. The application of this approach in other water management problems such as multi-reservoir operation and conjunctive surface/ground water resources management remains to be studied.

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