Journal ArticleDOI
A new prediction model of battery and wind-solar output in hybrid power system
TLDR
Short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component and includes a feature selection filter and hybrid forecast engine based on neural network and an intelligent evolutionary algorithm.Abstract:
In this paper short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component. In this model, lead acid batteries used in proposed hybrid power system based on wind-solar power system. So, before the predicting of power output, a simple mathematical approach to simulate the lead–acid battery behaviors in stand-alone hybrid wind-solar power generation systems will be introduced. Then, the proposed forecast problem will be evaluated which is taken as constraint status through state of charge (SOC) of the batteries. The proposed forecast model includes a feature selection filter and hybrid forecast engine based on neural network (NN) and an intelligent evolutionary algorithm. This method not only could maintain the SOC of batteries in suitable range, but also could decrease the on-or-off switching number of wind turbines and PV modules. Effectiveness of the proposed method has been applied over real world engineering data. Obtained numerical analysis, demonstrate the validity of proposed method.read more
Citations
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Journal ArticleDOI
Robust optimization based optimal chiller loading under cooling demand uncertainty
TL;DR: This work proposes a robust optimization approach for uncertainty modeling of cooling demand in order to obtain robust chiller loading in the uncertain environment which cooling demand is supplied by multi-chiller system.
Journal ArticleDOI
Fuzzy-based heat and power hub models for cost-emission operation of an industrial consumer using compromise programming
TL;DR: A conflict bi-objective model for cost-emission based operation of industrial consumer in the presence of peak load management is proposed and fuzzy decision making approach is provided to select the trade-off solution from the Pareto solutions.
Journal ArticleDOI
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm
Melika Hamian,Ayda Darvishan,Mehdi Hosseinzadeh,Milad Janghorban Lariche,Noradin Ghadimi,Alireza Nouri +5 more
TL;DR: The proposed solution methodology uses linear programming along with Mixed Integer Genetic Algorithm (MIGA) to minimize the payment cost and different custom-designed functions have been added to the basic MIGA to decrease the solution time.
Journal ArticleDOI
A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting
TL;DR: A ridgelet transform is applied to a wind signal to decompose it into sub-signals and the output of ridgelettransform is considered as input of new feature selection to identify the best candidates to be used as the forecast engine input.
Journal ArticleDOI
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
TL;DR: This study combined support vector machine and improved dragonfly algorithm to forecast short-term wind power for a hybrid prediction model and has shown better prediction performance compared with the other models such as back propagation neural network and Gaussian process regression.
References
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Journal ArticleDOI
Energy storage devices for future hybrid electric vehicles
TL;DR: In this paper, the authors characterize the associated vehicle attributes and, in particular, the various levels of hybrid, and derive new requirements for the electrical storage system, including: shallow-cycle life, high dynamic charge acceptance particularly for regenerative braking and robust service life in sustained partial-state-of-charge usage.
Journal ArticleDOI
Electricity price forecasting in deregulated markets: A review and evaluation
TL;DR: The main methodologies used in electricity price forecasting have been reviewed in this paper and classification of various price-influencing factors used by different researchers has been done and put for reference.
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Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy
TL;DR: In this article, a comprehensive supervisor controller for a hybrid system that comprises wind and photovoltaic generation subsystems, a battery bank, and an ac load is developed, which aims to satisfy the load power demand and maintain the state of charge of the battery bank to prevent blackout and to extend the life of the batteries.
Journal ArticleDOI
Electricity load forecasting by an improved forecast engine for building level consumers
TL;DR: A new prediction model for small scale load prediction i.e., buildings or sites is outlined, based on improved version of empirical mode decomposition (EMD) which is called sliding window EMD (SWEMD), a new feature selection algorithm and hybrid forecast engine.
Journal ArticleDOI
Introduction to transfer and motion in fractal media: The geometry of kinetics
A. Le Mehaute,Gilles Crepy +1 more
TL;DR: In this paper, a generalization to the d-fractal geometry of the relation which controls the interfacial energy and mass exchange in the linear approximation of the TEISI model was proposed.