Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications

Aktaş, Ahmet; Erhan, Koray; Özdemir, Şule; Özdemir, Engin

doi:10.1016/j.epsr.2016.11.022

Cited by 119 publications

(50 citation statements)

References 41 publications

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“…To calculate SOC of the battery at any time (t), the SOC at (t − 1), the charging and discharging time and the current should be calculated in advance. The state of charge of the battery at any time (t) can be calculated using the following Equation [37]:…”

Section: Storage System and Converter Modelsmentioning

confidence: 99%

Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

2018

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Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.

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Section: Storage System and Converter Modelsmentioning

confidence: 99%

Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

2018

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“…They investigated theoretical analysis and numerical simulation using related software for these systems and in order to enhance the performance of the HESS systems, were presented an electric inductor. Aktas et al investigated smart energy management using renewable energy and based on an algorithm. In this study, moreover real various operation experiential and tests for HESS systems, effective strategies according to SEMA (smart energy management algorithm) and in order to support of the HESS (hybrid energy storage system) systems has been suggested.…”

Section: Introductionmentioning

confidence: 99%

Deployment of a stand‐alone hybrid renewable energy system in coastal areas as a reliable energy source

Kasaeian

Razmjoo

Shirmohammadi

et al. 2019

Env Prog and Sustain Energy

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Solar and wind can be considered as sustainable environmentally friendly and omnipresent renewable energy sources for generating a part of required electrical energy for inhabitants of the remote areas in different countries. Accordingly, this study investigates the techno-economic evaluation for two-hybrid renewable energy systems for Bandar Dayyer. The findings of this study shows that using the HOMER software, the total amount of electricity production by these systems are equal to 470,176 kW, of which 22,409 kW is provided by PV-generic system and 447,767 kW is supplied by PV-diesel-generic system. It should be mentioned that this area has an appropriate potential of wind speed and solar radiation; therefore, the area can be suitable for investing on a hybrid renewable energy site. K E Y W O R D SHOMER software, renewable energy system, solar energy, wind energy 1 | INTRODUCTION Adequate provision of energy has always been a crucial issue and is deemed as one of the best measures for estimating the economic growth and development of a country. In recent decades, increasing CO 2 emission into the atmosphere is considered as one of the main reasons for global warming with adverse environmental effects such as sea level rise, floods, droughts, and so forth. Reduction of fossil fuels consumption by energy efficiency, carbon capture, and storage, conversion of CO 2 to different products, application of renewable

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“…10,11 Subject to the Weibull circulation of wind speed and wind speed-to-power yield mapping, an ED issue is intended to limit abundance control and lessen the accessible air control.. 12 So as to adapt to the changeability of RES, the stochastic programming is likewise utilized. Single-time-possibilityrestricted ED issues for RES are analyzed in Aktas et al 13 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 14 For questionable supply, strong booking issues with punishment-based costs without DSM have been explored in Hermann et al 15 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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Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications

Cited by 119 publications

References 41 publications

Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Deployment of a stand‐alone hybrid renewable energy system in coastal areas as a reliable energy source

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

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