A review of methodological approaches for the design and optimization of wind farms
This article presents a review of the state of the art of the Wind Farm Design and
Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning …
Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning …
Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions
The development of large scale wind farms that can compete with conventional energy
resources presents significant challenges to today's wind energy industry. A powerful …
resources presents significant challenges to today's wind energy industry. A powerful …
Design optimization of offshore wind farms with multiple types of wind turbines
Most studies on offshore wind farm design assume a uniform wind farm, which consists of an
identical type of wind turbines. In order to further reduce the cost of energy, we investigate …
identical type of wind turbines. In order to further reduce the cost of energy, we investigate …
Concurrent optimization of thermal and electric storage in commercial buildings to reduce operating cost and demand peaks under time-of-use tariffs
CJ Meinrenken, A Mehmani - Applied Energy, 2019 - Elsevier
Demand-side management (DSM) in response to market-based electricity tariffs can
potentially increase the efficiency and reliability of the electric power grid. This study …
potentially increase the efficiency and reliability of the electric power grid. This study …
Metaheuristics for (variable-size) mixed optimization problems: A unified taxonomy and survey
P Talbi - arXiv preprint arXiv:2401.03880, 2024 - arxiv.org
Many real world optimization problems are formulated as mixed-variable optimization
problems (MVOPs) which involve both continuous and discrete variables. MVOPs including …
problems (MVOPs) which involve both continuous and discrete variables. MVOPs including …
Wind farm layout optimization with a three-dimensional Gaussian wake model
S Tao, Q Xu, A Feijóo, G Zheng, J Zhou - Renewable Energy, 2020 - Elsevier
An accurate wake model is essential for the mathematical modeling of a wind farm (WF) and
the optimal positioning of wind turbines (WTs). In order to effectively solve the WF layout …
the optimal positioning of wind turbines (WTs). In order to effectively solve the WF layout …
Multidisciplinary dynamic optimization of horizontal axis wind turbine design
AP Deshmukh, JT Allison - Structural and Multidisciplinary Optimization, 2016 - Springer
The design of physical (plant) and control aspects of a dynamic system have traditionally
been treated as two separate problems, often solved in sequence. Optimizing plant and …
been treated as two separate problems, often solved in sequence. Optimizing plant and …
A new PSO-based algorithm for multi-objective optimization with continuous and discrete design variables
V Mokarram, MR Banan - Structural and Multidisciplinary Optimization, 2018 - Springer
This paper presents a new multi-objective optimization algorithm called FC-MOPSO for
optimal design of engineering problems with a small number of function evaluations. The …
optimal design of engineering problems with a small number of function evaluations. The …
Overview on binary optimization using swarm-inspired algorithms
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …
Smart grid resiliency improvement using a multi-objective optimization approach
The enhancement in temperature will increase energy consumption and reduce the power
grid's efficiency. Due to global warming, improving grid resilience under extreme heat is very …
grid's efficiency. Due to global warming, improving grid resilience under extreme heat is very …