A Novel Approach in Hybrid Energy Storage System for Maximizing Solar PV Energy Penetration in Microgrid

Amirthalakshmi, T. M.; Ramesh, S.; Prabu, R. Thandaiah; Ramkumar, G.; Sahoo, Satyajeet; Thomas, Prince; Jothiramalingam, R.; Al‐Lohedan, Hamad A.; Al-Dhayan, D. M.; Sureshkumar, Shanmugam

doi:10.1155/2022/3559837

Cited by 38 publications

(8 citation statements)

References 30 publications

(26 reference statements)

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“…Amirthalakshmi et al 52 had analyzed the energy storage system within the microgrid of the PV system. The topologies and configuration of storage systems in MGs were analyzed with an energy storage system, optimization of the renewable sources, control scheme, and power electronics interference.…”

Section: Energy Storage Systemsmentioning

confidence: 99%

Supply energy management methods for a direct current microgrid: A comprehensive review

Varshnry,

Lather,

Dahiya

2024

Energy Storage

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The revolution of microgrids (MGs) in the modern world has impacted the power systems to deal with the loads with optimal use of renewable energy resources (RERs). In the models consisting of energy management systems (EMS) and generation sources, there will be power fluctuations between the source and the load under certain conditions due to the unpredictable behavior of RERs. Therefore, a reliable scheme has to be implemented between the source and the load to ensure optimal performance of direct current (DC)‐MGs. This article has presented a review of the EMS models introduced by various researchers to enable optimal power supply and efficient operation of the DC‐MGs. A thorough illustration of the schemes adopted to provide efficient operations under grid‐connected and islanded mode of operations are provided. The effects and advantages of centralized and decentralized EMSs are discussed. The role of a battery energy storage system (BESS) in microgrid scheduling is presented and compared with a few other energy storage systems. The scheduling strategies implemented for optimal EMS using different algorithms and techniques are elaborated. In addition, the effects of battery degradation and the formulated solutions to improve the degraded models with improved battery life are also provided with cycle life and calendar life. Then, the lithium ion and lead acid BESS effect on microgrid EMS is presented. Finally, the energy management methods for DC‐MGs end with challenges, research gaps, and future direction.

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Section: Energy Storage Systemsmentioning

confidence: 99%

Supply energy management methods for a direct current microgrid: A comprehensive review

Varshnry,

Lather,

Dahiya

2024

Energy Storage

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“…The purpose of the installed ANN is to manage the SC DC/DC limit in addition to supporting Li-ion packs and increasing their lifetime. In comparison to battery-only ESSs, the simulations revealed a 64.8 percent increase in the lifetime of Li-ion batteries [11]. This presents a novel power strategic approach for HESSs based on ANN with low operating complexity, capable of managing the energy flow of all HESS components and extending the life of Li-ion battery systems by reducing dynamic strain and peak market requirements while consistently providing the stress only with demanded strength [12].…”

mentioning

confidence: 94%

Artificial Deep Neural Network in Hybrid PV System for Controlling the Power Management

Sahoo

Amirthalakshmi²,

Ramesh³

et al. 2022

International Journal of Photoenergy

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The analysis of different components of a grid-linked hybrid energy system (HES) comprising a photovoltaic (PV) system is presented in this work. Due to the increase of the population and industries, power consumption is increasing every day. Due to environmental issues, traditional power plants alone are insufficient to supply customer demand. In this case, the most important thing is to discover another approach to meet customer demands. Most wealthy countries are now concentrating their efforts on developing sustainable materials and investing considerable amounts of money in product development. Wind, solar, fuel cells, and hydro/water resources are among the most environmentally benign renewable sources. To control the variability of PV generation, this sort of application necessitates the usage of energy storage systems (ESSs). Lithium-ion (Li-ion) batteries are the most often used ESSs; however, they have a short lifespan due to the applied stress. Hybrid energy storage systems (HESSs) started to evolve as a way to decrease the pressure on Li-ion batteries and increase their lifetime. This study represents a great power management technique for a PV system with Li-ion batteries and supercapacitor (SC) HESS based on an artificial neural network. The effectiveness of the suggested power management technique is demonstrated and validated using a conventional PV system. Computational models with short-term and long-term durations were used to illustrate their effectiveness. The findings reveal that Li-ion battery dynamical stress and peak value are reduced, resulting in longer battery life.

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“…e battery life and daily operation cost is considered in this work which yields almost 99 percent saving in cost and giving income also with the application of hybrid FMINCON and GA algorithms. Various topology of hybrid energy storage system (HESS) is proposed in [10] having passive, semiactive, and active topologies. e analysis of various systems is carried out taking the parameters of cost, flexibility, efficiency, complexity, and controllability, and the results show that the system with power electronic interference has better performance, and it is sensitive to state of charge level.…”

Section: Introductionmentioning

confidence: 99%

Power-Sharing Analysis of Hybrid Microgrid Using Iterative Learning Controller (ILC) considering Source and Load Variation

Angalaeswari

Jamuna

Sundaram

et al. 2022

Mathematical Problems in Engineering

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In this study, a novel iterative learning controller is proposed to maintain power balance in hybrid microgrid considering source and load variation. A hybrid microgrid comprising of solar, battery, utility grid, and AC and DC loads are developed with ac and dc bus in MATLAB Simulink environment. The primary or local level control is implemented for solar and battery for maintaining stable dc bus voltage. The secondary or system level control is implemented by controlling the interlinking converter placed between ac and dc bus to supply stable voltage along with the smooth grid synchronization and ensuring the proper real power sharing between dc/ac buses. The simulation studies reveal that the proposed iterative controller has efficient and effective control over the voltage and power in hybrid microgrid under various modes of operation such as autonomous and grid connected modes.

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A Novel Approach in Hybrid Energy Storage System for Maximizing Solar PV Energy Penetration in Microgrid

Cited by 38 publications

References 30 publications

Supply energy management methods for a direct current microgrid: A comprehensive review

Supply energy management methods for a direct current microgrid: A comprehensive review

Artificial Deep Neural Network in Hybrid PV System for Controlling the Power Management

Power-Sharing Analysis of Hybrid Microgrid Using Iterative Learning Controller (ILC) considering Source and Load Variation

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