Results 21 to 30 of about 159,833 (300)
Multidisciplinary design optimization framework for the pre design stage [PDF]
, 2010 Presented is a novel framework for performing flexible computational design studies at preliminary design stage. It incorporates a workflow management device (WMD) and a number of advanced numerical treatments, including multi-objective optimization ...
Balachandran, Libish Kalathil +11 more
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IEEE Access, 2022 A two-stage adaptive robust optimization is developed for pre-disturbance scheduling in microgrids (MGs) for handling uncertainties associated with electricity market prices, renewable generation, demand forecasts, and islanding events.
Milad Mansouri +4 more
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Robust Optimization for Combinatorial Optimization Problems [PDF]
, 2017 Many combinatorial optimization problems arising in real-world applications do not have accurate estimates of the problem parameters when the optimization decision is taken. Stochastic programming and robust optimization are two common approaches for the
WU, Wei, 呉, 偉
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IEEE Access, 2021 To deal with the issue of the distribution system (DS) resilience enhancement under extreme weather events, this paper presents a new methodological framework for enhancing the load restoration of DS during a hurricane. As distinct from existing studies,
Xi Zhu +3 more
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Nonlinear Optimization-Based Robust Control Approach for a Two-Stage Anaerobic Digestion Process
Journal of Chemistry, 2022 A two-stage anaerobic digestion (AD) process has been applied to improve the efficiency of methane production from various organic materials. However, the performance of traditional process controllers may be limited by differences in the rate of ...
Atthasit Tawai, Malinee Sriariyanun
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An adjustable Predictive&Prescriptive method for the RO-based optimal power flow problem
Heliyon, 2023 Traditionally before solving the optimal power flow considering uncertainty (OPF–U) problem, the predicted value of uncertainty parameters, such as wind power, e.g., is derived from data using a statistics approach or machine learning.
Liqin Zheng +5 more
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Two-Stage Robust Optimization of Water Treatment Network Design and Operations under Uncertainty [PDF]
, 2019 This paper presents a study of two-stage adaptive nonlinear robust optimization in dealing with uncertainty in the optimal design and operation of water treatment systems.
Zukui Li (2083144) +1 more
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Two-stage robust optimal operation of AC/DC distribution networks with power electronic transformers
Frontiers in Energy Research, 2023 Power electronic transformers (PET) are a new type of power electronic equipment with a multi-port flexible dispatch function, which can play the role of a power hub in a system composed of multiple AC-DC hybrid distribution grids for interactive sharing
Heling Dong, Zhong Tang, Minjie Wei
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Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation [PDF]
IEEE Transactions on Smart Grid, 2021 Adaptive robust optimization (ARO) is a well-known technique to deal with the parameter uncertainty in optimization problems. While the ARO framework can actually be borrowed to solve some special problems without uncertain parameters, such as the power flexibility aggregation problem studied in this paper.
Xin Chen 0036, Na Li 0002
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Computing Two-Stage Robust Optimization with Mixed Integer Structures
SSRN Electronic Journal, 2023 Mixed integer sets have a strong modeling capacity to describe practical systems. Nevertheless, incorporating a mixed integer set often renders an optimization formulation drastically more challenging to compute. In this paper, we study how to effectively solve two-stage robust mixed integer programs built upon decision-dependent uncertainty (DDU).
Wang, Wei, Zeng, Bo
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