Heuristic-based power management of a grid-connected hybrid energy system combined with hydrogen storage

Rouholamini, Mehdi; Mohammadian, Mohsen

doi:10.1016/j.renene.2016.04.085

Cited by 61 publications

(37 citation statements)

References 30 publications

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“…However, such solving techniques are generally complex to implement and quite time-demanding. Consequently, heuristic approaches have been also proposed, like genetic algorithms and particle swarm optimization, which achieve sub-optimal solutions but faster and with less computational efforts [56][57][58]. As a result, very complex and sophisticated cost functions can be considered, which can account for many system constraints and goals.…”

Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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This chapter addresses potentialities and advantages of a highly integrated hybrid energy storage system (HESS) for electric propulsion and smart grids. This configuration consists of a highly integrated battery-ultracapacitor system (HIBUC) and aims to benefit from the advantages of both passive and active HESS configurations. Particularly, the integration of the ultracapacitor module (UM) within the DC-link of the DC/AC multilevel converter enables the decoupling between DC-link voltage and energy content without the need for any additional DC/DC converter. As a result, HIBUC benefits from simplicity and energy flow management capabilities very similar to those achieved by passive and active HESS configurations, respectively. This is highlighted properly by a theoretical analysis, which also accounts for a comparison between HIBUC and both passive and active HESS configurations. Some HIBUC application examples are also reported, which highlight the flexibility and potentialities of HIBUC for both electric propulsion systems and smart grids.

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Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

View full text Add to dashboard Cite

show abstract

“…Human‐inspired metaheuristics are much simpler and more efficient than their counterparts, such as swarm intelligence and evolutionary techniques because they possess less tuning parameters, searching process is not guided by a single fittest solution, and they utilise entire search space information. ISA has been successfully implemented for large scale reservoirs system operation optimisation, economic dispatch, structural design problems, optimal power flow, and optimal energy management for a hybrid generation from wind, solar, fuel cell, and electrolyser connected to a grid . Although ISA has a strong searching process, it still suffers from premature convergence, which is usually prevalent in population‐based methods.…”

Section: Introductionmentioning

confidence: 99%

Parameter extraction of fuel cells using hybrid interior search algorithm

2019

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Summary Precise modelling of fuel cells is very important for understanding their functioning. In this work, an application of hybrid interior search algorithm (HISA) is proposed to extract the parameters of fuel cells for their electromechanical equations based on nonlinear current‐voltage characteristics. Proposed hybridised algorithm has been developed using evolutionary mutation and crossover operators so as to enhance the modelling capability of interior search algorithm (ISA). To assess the modelling performance of HISA, parameter extraction of two types of fuel cell models, namely, proton exchange membrane fuel cell (PEMFC) and solid oxide fuel cell (SOFC) have been considered. Modelling performance of HISA, assessed using mean squared error between computed and experimental data, is found to be superior to ISA and several other recently reported prominent optimisation methods. Based on the presented intensive simulation investigations, it is concluded that HISA improves the performance of the basic ISA in terms of fitter solutions, robustness, and convergence rate and therefore offers a promising optimisation technique for parameter extraction of fuel cells.

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“…MG works on grid coupled or island mode, organizing systems with private or business clients in rustic or urban territories. The regular designs of the MG system appeared in Figure and seen additionally in previous works . The DERs and the controllable loads are facilitated by the MG energy manager (MGEM).…”

Section: Introductionmentioning

confidence: 99%

“…Single‐time‐possibility‐restricted ED issues for RES are analyzed in Aktas et al and offer likelihood ensures that the load will be paid. So as to limit the general cost of power and flammable gas, a stochastic program is defined and thinking about the vulnerabilities of demand profiles and PV generation is investigated in Roberge et al For questionable supply, strong booking issues with punishment‐based costs without DSM have been explored in Hermann et al Late works investigate energy scheduling with DSM and RES utilizing just centralized algorithms …”

Section: Introductionmentioning

confidence: 99%

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

et al. 2019

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This paper proposes an efficient hybrid approach-based energy management strategy (EMS) for grid-connected microgrid (MG) system. The primary objective of the proposed technique is to reduce the operational electricity cost and enhanced power flow between the source side and load side subject to power flow constraints. The proposed control scheme is a consolidated execution of both the random forest (RF) and quasioppositional-chaotic symbiotic organisms search algorithm (QOCSOS), and it is named as QOCSOS-RF. Here, the QOCSOS can have the capacity to enhance the underlying irregular arrangements and joining to a superior point in the pursuit space. Likewise, the QOCSOS has prevalence in nonlinear frameworks due over the way that can insert and extrapolate the arbitrary information with high exactness. Here, the required load demand of the grid-connected MG system is continuously tracked by the RF technique.The QOCSOS optimized the perfect combination of the MG with the consideration of the predicted load demand. Furthermore, in order to reduce the influence of renewable energy forecasting errors, a two-strategy for energy management of the MG is employed. At that point, proposed model is executed in MATLAB/Simulink working platform, and the execution is assessed with the existing techniques. KEYWORDS energy management strategy, grid-connected MG, power flow constraints, random forest, quasioppositional-chaotic symbiotic organisms search algorithm How to cite this article: Chen J, Zhou Z, Karunakaran V, Zhao S. An efficient technique-based distributed energy management for hybrid MG system: A hybrid QOCSOS-RF technique. Wind Energy. 2020;23:575-592. https://doi.

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Heuristic-based power management of a grid-connected hybrid energy system combined with hydrogen storage

Cited by 61 publications

References 30 publications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Parameter extraction of fuel cells using hybrid interior search algorithm

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

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