2018
DOI: 10.1007/s40565-018-0439-8
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Accommodation of curtailed wind power by electric water heaters based on a new hybrid prediction approach

Abstract: Wind power curtailment is of great importance with the increase of large-scale wind power connected to the grid. A new concept of redundant wind power accommodated by dispatching electric water heaters (EWHs) is developed in the paper. Precise predictions of wind power and EWHs load power are the basis for this work. A hybrid multi-kernel prediction approach integrating an adaptive fruit fly optimization algorithm (AFOA) and multi-kernel relevance vector machine (MKRVM) is proposed to deal with the sample dist… Show more

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Cited by 8 publications
(3 citation statements)
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“…The method used in this research is the MFOA, which is a metaheuristic algorithm based on the olfactory search process inherent in fruit flies' foraging behavior. Fruit flies have much stronger senses of smell and vision than other insects, and this helps them find food sources [33], [34].…”
Section: Controller Designmentioning
confidence: 99%
“…The method used in this research is the MFOA, which is a metaheuristic algorithm based on the olfactory search process inherent in fruit flies' foraging behavior. Fruit flies have much stronger senses of smell and vision than other insects, and this helps them find food sources [33], [34].…”
Section: Controller Designmentioning
confidence: 99%
“…With the development of renewable energy, it is an important issue to enhance the absorption capacity of the power grid for intermittent renewable energy power generation represented by wind power generation and photovoltaic power generation [1,2]. In order to alleviate the current problems of low utilization efficiency and poor market competitiveness faced by renewable energy power generation and encourage environmentally friendly renewable energy power generation, the concepts of tradable green electricity certificates (hereinafter referred to as "green certificates") and carbon emission credits have been proposed internationally, and have been applied in some countries.…”
Section: Introductionmentioning
confidence: 99%
“…Relevance vector machine (RVM) is an efficient machine learning algorithm proposed by Tipping in 2000 [20]. is method ensures the sparsity of the model by introducing the Gaussian prior distribution of the zero mean value of the weight vector given by the hyperparameter [21,22]. e superparameter can be estimated by the maximum edge likelihood method [23].…”
Section: Introductionmentioning
confidence: 99%