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Cheng Chen, Chuanxiong Kang and Jinwen Wang
Reliability and vulnerability (RV) are two very important performance measures but, due to their stage-inseparable nature, they cannot be explicitly incorporated in stochastic dynamic programming (SDP), which is extensively used in reservoir operation. W...
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Cheng Chen, Chuanxiong Kang and Jinwen Wang
Reliability and vulnerability (RV) are two very important performance measures but, due to their stage-inseparable nature, they cannot be explicitly incorporated in stochastic dynamic programming (SDP), which is extensively used in reservoir operation. W...
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Martin N. Hjelmeland, Arild Helseth and Magnus Korpås
We propose a model for medium-term hydropower scheduling (MTHS) with variable head and uncertainty in inflow, reserve capacity, and energy price. With an increase of intermittent energy sources in the generation mix, it is expected that a flexible hydrop...
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Ilias G. Marneris, Pandelis N. Biskas and Anastasios G. Bakirtzis
The uncertain and variable nature of renewable energy sources in modern power systems raises significant challenges in achieving the dual objective of reliable and economically efficient system operation. To address these challenges, advanc...
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Tienan Li, Xueting Zeng, Cong Chen, Xiangmin Kong, Junlong Zhang, Ying Zhu, Fan Zhang and He Dong
In this study, an initial water-rights allocation (IWRA) model is proposed for adjusting the traditional initial water-rights empowerment model based on previous water intake permits, with the aim of improving the productivity of water resources under po...
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Xiaochen Chou and Enza Messina
Stochastic Programming is a powerful framework that addresses decision-making under uncertainties, which is a frequent occurrence in real-world problems. To effectively solve Stochastic Programming problems, scenario generation is one of the common pract...
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Juan J. Torres, Can Li, Robert M. Apap and Ignacio E. Grossmann
This paper presents a tutorial on the state-of-the-art software for the solution of two-stage (mixed-integer) linear stochastic programs and provides a list of software designed for this purpose. The methodologies are classified according to the decompos...
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Bruno Colonetti, Erlon Cristian Finardi and Welington de Oliveira
Independent System Operators (ISOs) worldwide face the ever-increasing challenge of coping with uncertainties, which requires sophisticated algorithms for solving unit-commitment (UC) problems of increasing complexity in less-and-less time. Hence, decomp...
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Abdel-Rahman Hedar, Amira A. Allam and Alaa Fahim
Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution algorithms are used to solve nonlinear continuous optimization problems that contain noise. One...
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Shaik Rehana, Chandra Rupa Rajulapati, Subimal Ghosh, Subhankar Karmakar and Pradeep Mujumdar
Regional water resource modelling is important for evaluating system performance by analyzing the reliability, resilience and vulnerability criteria of the system. In water resource systems modelling, several uncertainties abound, including data inadequa...
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Mahmood Hosseini Imani, Shaghayegh Zalzar, Amir Mosavi and Shahaboddin Shamshirband
Following restructuring of power industry, electricity supply to end-use customers has undergone fundamental changes. In the restructured power system, some of the responsibilities of the vertically integrated distribution companies have been assigned to...
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Jorge Chebeir, Aryan Geraili and Jose Romagnoli
The increasing demand of energy has turned the shale gas and shale oil into one of the most promising sources of energy in the United States. In this article, a model is proposed to address the long-term planning problem of the shale gas supply chain und...
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Ye Xu, Wei Li, Xiaowen Ding
Pág. 1 - 18
In this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and t...
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Ling Ji, Ping Sun, Qiang Ma, Na Jiang, Guo-He Huang, Yu-Lei Xie
Pág. 1 - 14
In this paper, an inexact two-stage stochastic programming model was developed for supporting regional water resource allocation management under uncertainties. The proposed model is an integrated framework of interval parameter programming and two-stage...
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Ling Ji, Ping Sun, Qiang Ma, Na Jiang, Guo-He Huang and Yu-Lei Xie
In this paper, an inexact two-stage stochastic programming model was developed for supporting regional water resource allocation management under uncertainties. The proposed model is an integrated framework of interval parameter programming and two-stage...
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Paulo Rotela Junior, Luiz Célio Souza Rocha, Giancarlo Aquila, Edson de Oliveira Pamplona, Pedro Paulo Balestrassi, Anderson Paulo de Paiva
Pág. 623 - 631
The objective of this paper is to present a proposal to form robust portfolios using a stochastic efficiency analysis of assets from companies in the Sao Paulo Stock Exchange, focusing on the worst market state. In order to do this, information about the...
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Nian Liu and Bin Guo
With the development of Microgrids (MG) in distribution networks, how to coordinate the reconfiguration of distribution networks with the energy sharing of Direct Current (DC)-linked multi-MG is an unsolved problem. In this paper, a multi-party optimizat...
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Eleni Bekri, Markus Disse and Panayotis Yannopoulos
The enactment of the Water Framework Directive, constituting the basis of the European water policy, introduced various challenges and complexities for water resources management. River basins are exposed to a plethora of environmental stresses, resultin...
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Eleni Bekri, Markus Disse and Panayotis Yannopoulos
Optimal water allocation within a river basin still remains a great modeling challenge for engineers due to various hydrosystem complexities, parameter uncertainties and their interactions. Conventional deterministic optimization approaches have given th...
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Ning Hao, Peixuan Sun, Wei He, Luze Yang, Yu Qiu, Yingzi Chen and Wenjin Zhao
Water scarcity has become a major impediment to economic development, and a scientifically sound water allocation plan is essential to alleviate water scarcity. An opportunity constraint approach is introduced to optimise the uncertainty of the minimum r...
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