Wind farm macro-siting optimization with insightful bi-criteria identification and relocation mechanism in genetic algorithm

Liu, Feng; Ju, Xinglong; Wang, Ning; Wang, Li; Lee, Wei Jen

doi:10.1016/j.enconman.2020.112964

Cited by 38 publications

(14 citation statements)

References 46 publications

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“…The outcomes were supported by simulations and experiments. Future work on the subject may focus on accuracy improvement of the method and adoption of different artificial intelligence methods [22][23][24][25][26] to perform the task.…”

Section: Discussionmentioning

confidence: 99%

Output Voltage and Resistance Assessment of Load-Independent-Voltage-Output Frequency Operating Inductive Wireless Power Transfer Link Utilizing Input DC-Side Measurements Only

Trachtenberg

Kuperman

2021

Electronics

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The paper puts forward a method for predicting output voltage and resistance of a series-series (SS) compensated inductive wireless power transfer (IWPT) link operating at load-independent-voltage-output (LIVO) frequency. The link is a part of the static system (reported by the authors in earlier works), wirelessly delivering power into an enclosed compartment without any secondary-to-primary feedback. The proposed algorithm employs input DC-side quantities (which are slow-varying and nearly noise-free, thus measured utilizing low-cost, low-bandwidth sensors) only to monitor output DC-side quantities, required for protection and/or control. It is shown that high estimation accuracy is retained as long as system parameter values are known and the phasor-domain equivalent circuit is valid (i.e., upon continuous-conduction mode (CCM) of the diode rectifier, where the proposed methodology utilizes the recently revealed modified diode rectifier equivalent model for enhanced accuracy). Under light loading (i.e., in discontinuous conduction mode (DCM)), a nonlinear correction is combined with the proposed technique to retain accuracy. The proposed methodology is well-verified by application to a 400 V to 400 V, 1 kW static IWPT link by simulations and experiments.

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Section: Discussionmentioning

confidence: 99%

Output Voltage and Resistance Assessment of Load-Independent-Voltage-Output Frequency Operating Inductive Wireless Power Transfer Link Utilizing Input DC-Side Measurements Only

Trachtenberg

Kuperman

2021

Electronics

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“…This is because usually wind farm projects are set up in two separate stages: first, the macro-siting stage takes place, where a certain delimited area is granted by the public administrations, according to public interest reasons such as environmental, safety and sea usage criteria [14]. Only after that stage is over, the micro-siting (layout design) stage takes place [15,16], and the layout of the turbines is set by the wind farm managers (with or without WFLO). This causes that the initial available area is usually not set according to wind farm performance criteria.…”

Section: Introductionmentioning

confidence: 99%

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

Kirchner-Bossi

Porté‐Agel

2021

Energies

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In recent years, wind farm layout optimization (WFLO) has been extendedly developed to address the minimization of turbine wake effects in a wind farm. Considering that increasing the degrees of freedom in the decision space can lead to more efficient solutions in an optimization problem, in this work the WFLO problem that grants total freedom to the wind farm area shape is addressed for the first time. We apply multi-objective optimization with the power output (PO) and the electricity cable length (CL) as objective functions in Horns Rev I (Denmark) via 13 different genetic algorithms: a traditionally used algorithm, a newly developed algorithm, and 11 hybridizations resulted from the two. Turbine wakes and their interactions in the wind farm are computed through the in-house Gaussian wake model. Results show that several of the new algorithms outperform NSGA-II. Length-unconstrained layouts provide up to 5.9% PO improvements against the baseline. When limited to 20 km long, the obtained layouts provide up to 2.4% PO increase and 62% CL decrease. These improvements are respectively 10 and 3 times bigger than previous results obtained with the fixed area. When deriving a localized utility function, the cost of energy is reduced up to 2.7% against the baseline.

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“…Because multiple ellipsoids are learned in parallel in EMDO, an effective approach is designed to adaptively determine the number of synthetic samples to be generated in every ellipsoid. Similar ideas that design suitable algorithms to search for model parameters for specific applications are shown in [ 50 , 51 , 52 ].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification

Yao

Lin

2021

Sensors

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The number of sensing data are often imbalanced across data classes, for which oversampling on the minority class is an effective remedy. In this paper, an effective oversampling method called evolutionary Mahalanobis distance oversampling (EMDO) is proposed for multi-class imbalanced data classification. EMDO utilizes a set of ellipsoids to approximate the decision regions of the minority class. Furthermore, multi-objective particle swarm optimization (MOPSO) is integrated with the Gustafson–Kessel algorithm in EMDO to learn the size, center, and orientation of every ellipsoid. Synthetic minority samples are generated based on Mahalanobis distance within every ellipsoid. The number of synthetic minority samples generated by EMDO in every ellipsoid is determined based on the density of minority samples in every ellipsoid. The results of computer simulations conducted herein indicate that EMDO outperforms most of the widely used oversampling schemes.

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Wind farm macro-siting optimization with insightful bi-criteria identification and relocation mechanism in genetic algorithm

Cited by 38 publications

References 46 publications

Output Voltage and Resistance Assessment of Load-Independent-Voltage-Output Frequency Operating Inductive Wireless Power Transfer Link Utilizing Input DC-Side Measurements Only

Output Voltage and Resistance Assessment of Load-Independent-Voltage-Output Frequency Operating Inductive Wireless Power Transfer Link Utilizing Input DC-Side Measurements Only

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification

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