A Matlab toolbox for designing Multi-Objective Optimal Operations of water reservoir systems

Giuliani, Matteo; Li, Y.; Cominola, Andrea; Denaro, Simona; Mason, Emanuele; Castelletti, Andrea

doi:10.1016/j.envsoft.2016.08.015

Cited by 32 publications

(11 citation statements)

References 29 publications

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“…These techniques include stochastic programming [15, 20, 45-47, 49, 100, 109, 127, 200], dynamic programming including stochastic dynamic programming [14,53,58,60,77,78,83,156,162,167,182] and nonlinear programming [10]. Specialist software tools have also been developed, including a MATLAB toolbox [66].…”

Section: Climate Changementioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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Section: Climate Changementioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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“…The time frame was provisionally divided into 3 equal sequences to make independent forecasting. Thus, the range of valid values is formed, where the forecast value is determined by laws of the fuzzy logic [9].…”

Section: Forecasting and Optimization Resultsmentioning

confidence: 99%

Assessment of the Charging Policy in Energy Efficiency of the Enterprise

Shutov

Turukina

Anisimov

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The forecasting problem for energy facilities with a power exceeding 670 kW is currently one of the main. In connection with rules of the retail electricity market such customers also pay for actual energy consumption deviations from plan value. In compliance with the hierarchical stages of the electricity market a guaranteeing supplier is to respect the interests of distribution and generation companies that require load leveling. The answer to this question for industrial enterprise is possible only within technological process through implementation of energy-efficient processing chains with the adaptive function and forecasting tool. In such a circumstance the primary objective of a forecasting is reduce the energy consumption costs by taking account of the energy cost correlation for 24 hours for forming of pumping unit work schedule. The pumping unit virtual model with the variable frequency drive is considered. The forecasting tool and the optimizer are integrated into typical control circuit. Economic assessment of the optimization method was estimated.

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“…where h t + 1 is the level of water in the reservoir in [t, t + 1) and H is the height of the dam's wall from the foundation. In this study, the SDP algorithm presented in the M3O MATLAB toolbox 1 (Giuliani et al 2016) has been used to find the optimal policies. M3O is a flexible toolbox to design the Pareto Optimal operating policies of a water reservoir system.…”

Section: Optimal Reservoir Policiesmentioning

confidence: 99%

A Hybrid Model-Based Adaptive Framework for the Analysis of Climate Change Impact on Reservoir Performance

Biglarbeigi¹,

Strong²,

Finlay³

et al. 2020

Water Resour Manage

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Climate change and population growth have influenced social and physical water scarcity in many regions. Accordingly, the future performance of water storage reservoirs, as one of the fundamental elements in the water resource management, are anticipated to be affected by climate change. This study reports on a framework that can model Reliability-Resiliency-Vulnerability (RRV) measures of water reservoirs in the context of climate change. The framework first develops a hydrological model of a reservoir system using its historical data. The model is then optimised to minimise the water deficit and flooding around the catchment area of the reservoir. The resulting optimal policies are simulated back to the model considering the GCMs. Finally, RRV indices are calculated. RRV indices are effective measures for defining the performance of reservoir systems. Reliability is defined as the probability of the failure of the system, Resiliency is defined as the time needed for the system to go back to its satisfactory state once it entered the failure state, and Vulnerability is defined as the “magnitude of the failure” of a system. The proposed framework has been applied to a reservoir system located in the south-west of Iran on the Dez river. The results show climate change may increase the reliability and resiliency of the system under study while increasing its vulnerability. Therefore, the output of this framework can also provide supplementary information to authorities and decision-makers to inform future water management and planning policies.

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A Matlab toolbox for designing Multi-Objective Optimal Operations of water reservoir systems

Cited by 32 publications

References 29 publications

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Assessment of the Charging Policy in Energy Efficiency of the Enterprise

A Hybrid Model-Based Adaptive Framework for the Analysis of Climate Change Impact on Reservoir Performance

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