Appropriate Operating Policy for a Reservoir System Based on Inflow States (Mosul Reservoir as a Case Study)

Abstract The ranking of the reservoirs in Pakistan is an important decision and it has a vital impact on the sustainability of the region and the economic operation of the reservoir. The reservoirs ranking is a vital problem which involves multi-criteria decision-making. The framework proposed in this paper involves the fuzzy AHP-TOPSIS method for the ranking of reservoirs in Pakistan. Potential feasible locations are identified from the Water and Power Development Authority, Pakistan. Weight calculation for the criteria is done by the fuzzy AHP method, which is a multi-criteria decision-making method. In order to model the fuzziness, equivocacy, incomplete knowledge and ambiguity, the fuzzy AHP is used. Furthermore, in order to rank the selected reservoirs based on their performance, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, which is a multicriteria decision making method. We demonstrate the application of the above-mentioned methods to the case study of the Indus Reservoir system in Pakistan. A decision support tool is provided for the decision makers in this paper to manage, evaluate and rank the planned reservoirs in the Indus River.

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An Ecologically Oriented Operation Strategy for a Multi-Reservoir System: A Case Study of the Middle and Lower Han River Basin, China

Engineering ◽

10.1016/j.eng.2018.09.002 ◽

2018 ◽

Vol 4 (5) ◽

pp. 627-634 ◽

Cited By ~ 3

Author(s):

Hao Wang ◽

Xiaohui Lei ◽

Denghua Yan ◽

Xu Wang ◽

Shuyue Wu ◽

...

Keyword(s):

River Basin ◽

Operation Strategy ◽

Han River ◽

Reservoir System ◽

System A ◽

Han River Basin

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Simulating Reservoir System Operation Under Given Scenarios to Determine Operating Policy with the ‘Good’ Resilience

NATO Science for Peace and Security Series C: Environmental Security - Resilience and Risk ◽

10.1007/978-94-024-1123-2_24 ◽

2017 ◽

pp. 567-580

Author(s):

B. Srdjevic ◽

Z. Srdjevic ◽

B. Todorovic

Keyword(s):

System Operation ◽

Reservoir System ◽

Operating Policy

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Sampling/stochastic dynamic programming for optimal operation of multi-purpose reservoirs using artificial neural network-based ensemble streamﬂow predictions

Journal of Hydroinformatics ◽

10.2166/hydro.2013.236 ◽

2013 ◽

Vol 16 (4) ◽

pp. 907-921 ◽

Cited By ~ 21

Author(s):

Sedigheh Anvari ◽

S. Jamshid Mousavi ◽

Saeed Morid

Keyword(s):

Dynamic Programming ◽

Arid Regions ◽

Water Reservoir ◽

Optimal Operation ◽

Stochastic Dynamic ◽

Reservoir System ◽

Artificial Neural ◽

Increasing Demand ◽

Better Than

Due to limited water resources and the increasing demand for agricultural products, it is significantly important to operate surface water reservoirs optimally, especially those located in arid and semi-arid regions. This paper investigates uncertainty-based optimal operation of a multi-purpose water reservoir system by using four optimization models. The models include dynamic programming (DP), stochastic DP (SDP) with inflow classification (SDP/Class), SDP with inflow scenarios (SDP/Scenario), and sampling SDP (SSDP) with historical scenarios (SSDP/Hist). The performance of the models was tested in Zayandeh-Rud Reservoir system in Iran by evaluating how their release policies perform in a simulation phase. While the SDP approaches were better than the DP approach, the SSDP/Hist model outperformed the other SDP models. We also assessed the effect of ensemble streamflow predictions (ESPs) that were generated by artificial neural networks on the performance of SSDP/Hist. Application of the models to the Zayandeh-Rud case study demonstrated that SSDP in combination with ESPs and the K-means technique, which was used to cluster a large number of ESPs, could be a promising approach for real-time reservoir operation.

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Optimisation meets the manager: a case study of the La Paz reservoir system

Water Science & Technology Water Supply ◽

10.2166/ws.2003.0127 ◽

2003 ◽

Vol 3 (1-2) ◽

pp. 373-379

Author(s):

M. Bender ◽

M. Stanic ◽

D. Luketina ◽

D. Hranisavljevic

Keyword(s):

Traditional Approach ◽

Water Levels ◽

La Paz ◽

Reservoir System ◽

Operating Rules ◽

Dynamic Operating ◽

Optimal Dynamic ◽

Optimisation Techniques ◽

Level Of Risk

Managers must usually apply operating rules to optimise the use of water resources in a sustainable manner. Ideally a manager needs a set of near-optimal dynamic operating rules that are consistent with the objectives and level of risk set by the manager. The traditional approach for a reservoir is to develop fixed (static) rule curves based upon a statistical analysis. However, improved dynamic rules can be derived using optimisation techniques such as genetic algorithms. Also, simulation methods can be used. Here we show how both methods can be applied to generate near-optimal dynamic operating rules for a reservoir system used for drinking water supply in La Paz, Bolivia. In particular, we show how simple practical operating rules can incorporate the level of risk set by the manager. Further, these rules advise how quickly water levels should be altered when they are too high or too low.

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Optimization of a multiple reservoir system using a simulated annealing--A case study in the Mae Klong system, Thailand

Paddy and Water Environment ◽

10.1007/s10333-005-0010-x ◽

2005 ◽

Vol 3 (3) ◽

pp. 137-147 ◽

Cited By ~ 20

Author(s):

Janejira Tospornsampan ◽

Ichiro Kita ◽

Masayuki Ishii ◽

Yoshinobu Kitamura

Keyword(s):

Simulated Annealing ◽

Reservoir System ◽

Multiple Reservoir

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Determining the optimal year-end water level of a multi-year regulating storage reservoir: a case study

Water Science & Technology Water Supply ◽

10.2166/ws.2015.138 ◽

2015 ◽

Vol 16 (2) ◽

pp. 284-294 ◽

Cited By ~ 3

Author(s):

Jinlong Wang ◽

Weibin Huang ◽

Guangwen Ma ◽

Yuhua Wang

Keyword(s):

Water Level ◽

Yellow River ◽

Operating Mode ◽

Energy Output ◽

Storage Reservoir ◽

Critical Elements ◽

Reservoir System ◽

Storage Reservoirs ◽

The Relationship

An operational model that analyzes the relationship between annual energy output and year-end stored energy of a reservoir system was developed and used for determining the optimal year-end water level of a multi-year regulating storage reservoir. The model accounts for the capacity benefit of a multi-annual storage plant and was validated using the case of the Longyangxia reservoir in the upper reaches of the Yellow River, China. The critical elements for determining the optimal year-end water level for multi-year regulating storage reservoirs were revealed through analysis of the impacts of runoff and year-start water level on year-end water level. Simulated operational results from the model were compared with practical operational results for the Longyangxia reservoir system from 1990–2012. A comparison shows that the operating mode for Longyangxia reservoir (after 2006) achieved significant improvement versus before 2006, in making the reservoir run at a higher water level and increasing benefits. In addition, our study indicates that the model can be effectively used for multi-year regulating storage reservoir operation.

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