Optimization of V-Trough photovoltaic concentrators through genetic algorithms with heuristics based on Weibull distributions

Arias-Rosales, Andrés; Mejía-Gutiérrez, Ricardo

doi:10.1016/j.apenergy.2017.11.106

Cited by 15 publications

(8 citation statements)

References 51 publications

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“…This study used the PSO-IW algorithm to optimize the HESS capacities, and the total number of iterations was set to 200. Simulations were conducted on a 64-bit workstation with [42] are presented in Fig. 12, where the total computational time of each algorithm is about 12 hours.…”

Section: ) Solution Methodsmentioning

confidence: 99%

Optimal Allocation of Hybrid Energy Storage Systems for Smoothing Photovoltaic Power Fluctuations Considering the Active Power Curtailment of Photovoltaic

Wang

et al. 2019

IEEE Access

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Hybrid energy storage systems (HESSs) have become an effective solution for smoothing the active power variations of photovoltaic (PV). In order to reduce the required capacities and costs of the HESS, a coordinated control scheme is developed to mitigate the power variations of a PV plant by using the HESS and the active power curtailment (APC) of PV. Furthermore, a multi-objective optimization model is established to dispatch the output power of batteries and supercapacitors, considering the overall losses and the state-of-charge (SOC) deviation of the supercapacitor. Based on the proposed smoothing strategy, an allocation model is developed to optimize the energy and power capacities of the HESS with the aim of maximizing the annual net income of the PV and HESS plant. The numerous simulations are carried out to verify the effectiveness of the proposed smoothing and allocation methods by using the real data of a PV plant. In addition, we also discuss the impacts of the different dispatching strategies of the HESS, grid requirements of power variations, and solution methods on the HESS allocation results. INDEX TERMS Hybrid energy storage system (HESS), photovoltaic (PV) power fluctuation, capacity allocation, active power curtailment.

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Section: ) Solution Methodsmentioning

confidence: 99%

Optimal Allocation of Hybrid Energy Storage Systems for Smoothing Photovoltaic Power Fluctuations Considering the Active Power Curtailment of Photovoltaic

Wang

et al. 2019

IEEE Access

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“…They have proved particularly useful where the search space is large, noisy, discontinuous or multimodal [29]. For concentrator optimisation, GAs have been employed for the optimisation of nonimaging Fresnel lenses [20,30,31], parabolic troughs [32] and V-toughs [33], yet not for 3D nonimaging static Low Concentration Photovoltaic (LCPV) concentrators.…”

Section: Global Optimisation Algorithmsmentioning

confidence: 99%

Design method of a compact static nonimaging concentrator for portable photovoltaics using parameterisation and numerical optimisation

et al. 2020

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Portable solar chargers are one of the technologies that can help to achieve universal access to electricity by 2030. However, the large number of solar photovoltaic devices required and their short life-span make achieving this goal a resource and energy intensive process. To reduce the embodied energy, the embodied carbon and the human and eco-toxicity potential of portable solar chargers, solar photovoltaic concentrators can be used. This paper proposes a new nonimaging solar photovoltaic concentrator design which has material efficiency, portability and off-grid use as its main feature. The main contribution of this paper is the design method of the new 3D nonimaging concentrator containing the parametric equation of the concentrator surfaces and the numeric optimisation of the design parameters. The developed optimisation program is based on genetic algorithms which parameters were determined experimentally in this paper. The concentrator design achieved with this method is 43% less material intensive than the most compact nonimaging solar concentrator available in literature. This design approach can be used to find concentrator designs with specific volumes, heights, concentration ratios, acceptance angles and optical efficiency. It is therefore a step towards more material efficient and more sustainable nonimaging concentrators and more sustainable portable solar photovoltaic systems.

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“…After statistical analysis, this model presented the most appropriate results for the solar radiation prediction model. However, this designed system lacked tractability, and the authors in [83] tackled this issue.…”

Section: Review Of Pv Power Forecasting Without Nnmentioning

confidence: 99%

“…Reference [83] proposed a new mechanism for enhancing the overall efficiency by using the tracking system designed by the V-trough technique. The formula for the calculation is given in Equation 22.…”

Section: Review Of Pv Power Forecasting Without Nnmentioning

confidence: 99%

Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review

et al. 2019

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Renewable energy sources (RESs) are the replacement of fast depleting, environment polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such as variable supply towards the load during different periods, and mostly they are available at distant locations from load centers. This paper inspects forecasting techniques, employed to predict the RESs availability during different periods and considers the dispatch mechanisms for the supply, extracted from these resources. Firstly, we analyze the application of stochastic distributions especially the Weibull distribution (WD), for forecasting both wind and PV power potential, with and without incorporating neural networks (NN). Secondly, a review of the optimal economic dispatch (OED) of RES using particle swarm optimization (PSO) is presented. The reviewed techniques will be of great significance for system operators that require to gauge and pre-plan flexibility competence for their power systems to ensure practical and economical operation under high penetration of RESs.

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Optimization of V-Trough photovoltaic concentrators through genetic algorithms with heuristics based on Weibull distributions

Cited by 15 publications

References 51 publications

Optimal Allocation of Hybrid Energy Storage Systems for Smoothing Photovoltaic Power Fluctuations Considering the Active Power Curtailment of Photovoltaic

Optimal Allocation of Hybrid Energy Storage Systems for Smoothing Photovoltaic Power Fluctuations Considering the Active Power Curtailment of Photovoltaic

Design method of a compact static nonimaging concentrator for portable photovoltaics using parameterisation and numerical optimisation

Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review

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