A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications

Tostado‐Véliz, Marcos; Arévalo, Paúl; Jurado, Francisco

doi:10.1016/j.enconman.2020.113726

Cited by 74 publications

(34 citation statements)

References 41 publications

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“…Smart grids contribute to modernization by improving the transmission of electricity, the distribution system, and the electricity infrastructure. Various research topics have emerged, including battery energy storage [ 3 ], electrical–gas–hydrogen interconnected networks [ 4 ], and advanced metering infrastructure (AMI) [ 5 ]. Particularly in AMI, the deployment of smart meters, which support the continuous collection of electricity data in apartments and buildings, has played a crucial role in developing smart grids.…”

Section: Introductionmentioning

confidence: 99%

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform

Chui

Gupta

Liu

et al. 2021

Sensors

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Global warming is a leading world issue driving the common social objective of reducing carbon emissions. People have witnessed the melting of ice and abrupt changes in climate. Reducing electricity usage is one possible method of slowing these changes. In recent decades, there have been massive worldwide rollouts of smart meters that automatically capture the total electricity usage of houses and buildings. Electricity load disaggregation (ELD) helps to break down total electricity usage into that of individual appliances. Studies have implemented ELD models based on various artificial intelligence techniques using a single ELD dataset. In this paper, a powerline noise transformation approach based on optimized complete ensemble empirical model decomposition and wavelet packet transform (OCEEMD–WPT) is proposed to merge the ELD datasets. The practical implications are that the method increases the size of training datasets and provides mutual benefits when utilizing datasets collected from other sources (especially from different countries). To reveal the effectiveness of the proposed method, it was compared with CEEMD–WPT (fixed controlled coefficients), standalone CEEMD, standalone WPT, and other existing works. The results show that the proposed approach improves the signal-to-noise ratio (SNR) significantly.

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Section: Introductionmentioning

confidence: 99%

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform

Chui

Gupta

Liu

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In such a case, the operator must ensure the supplying quality and reliability at minimum cost, in order to maximize the benefits obtained by the retailer. To this end, the operator can exploit public infrastructures such as charging stations [15,16], in order to complement the incomes obtained from energy supplying. Thereby, it is essential to operate the grid in an optimal way efficiently exploiting the different available resources and taking advantage of the flexibility provided by DR programs.…”

Section: Introductionmentioning

confidence: 99%

DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

et al. 2021

Self Cite

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With the development of electronic infrastructures and communication technologies and protocols, electric grids have evolved towards the concept of Smart Grids, which enable the communication of the different agents involved in their operation, thus notably increasing their efficiency. In this context, microgrids and nanogrids have emerged as invaluable frameworks for optimal integration of renewable sources, electric mobility, energy storage facilities and demand response programs. This paper discusses a DC isolated nanogrid layout for the integration of renewable generators, battery energy storage, demand response activities and electric vehicle charging infrastructures. Moreover, a stochastic optimal scheduling tool is developed for the studied nanogrid, suitable for operators integrated into local service entities along with the energy retailer. A stochastic model is developed for fast charging stations in particular. A case study serves to validate the developed tool and analyze the economical and operational implications of demand response programs and charging infrastructures. Results evidence the importance of demand response initiatives in the economic profit of the retailer.

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“…Recently, the multi-energy microgrids are growing prosperously. Different energy sources are incorporated into this multi-engergy microgrid [7,8]. It usually includes an electric system, natural gas, and hydrogen.…”

Section: Introductionmentioning

confidence: 99%

“…It usually includes an electric system, natural gas, and hydrogen. This multi-energy system has higher efficiency than the singe source as the different energy sources in the system can compensate each other [7]. Further, multi-energy systems with more than two different source are gaining more attention as well.…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution-Based Overcurrent Protection for DC Microgrids

Zhang

et al. 2021

Energies

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DC microgrids have advantages over AC microgrids in terms of system efficiency, cost, and system size. However, a well-designed overcurrent protection approach for DC microgrids remains a challenge. Recognizing this, this paper presents a novel differential evolution (DE) based protection framework for DC microgrids. First, a simplified DC microgrid model is adopted to provide the analytical basis of the DE algorithm. The simplified model does not sacrifice performance criterion in steady-state simulation, which is verified through extensive simulation studies. A DE-based novel overcurrent protection scheme is then proposed to protect the DC microgrid. This DE method provides an innovative way to calculate the maximum line current, which can be used for the overcurrent protection threshold setting and the relay coordination time setting. The detailed load condition and solar irradiance for each bus can be obtained by proposed DE-based method. Finally, extensive case studies involving faults at different locations are performed to validate the proposed strategy’s effectiveness. The expandability of the proposed DE-based overcurrent protection framework has been confirmed by further case studies in seven bus mesh systems.

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A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications

Cited by 74 publications

References 41 publications

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform

DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

Differential Evolution-Based Overcurrent Protection for DC Microgrids

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