Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm

Çetinbaş, İpek; Tamyürek, Bünyamin; Demirtaş, Mehmet

doi:10.1016/j.enconman.2021.114562

Cited by 56 publications

(19 citation statements)

References 50 publications

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“…High penetration of RER in MGs offers many challenges in operating MGs due to their variable and intermittent nature [11,12]. Moreover, the integration of dispatchable resources along with the RER, the use of BESSs, and the demand side management complicate the day-ahead (DA) scheduling problem [13]. The coordination of MMG also increases the dimension of the DA scheduling problem.…”

Section: Motivationmentioning

confidence: 99%

Energy management system for islanded multi‐microgrids using a two‐stage optimization scheme based on political optimizer

Mahmoud

Hasanien

Turky

et al. 2023

IET Renewable Power Gen

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An energy management system (EMS) is proposed in this paper to minimize the amount of load shedding in islanded multi‐microgrids (MMGs) systems in a cost‐effective manner. The suggested EMS adopts a two‐stage hierarchical optimization model. The first stage is called microgrid (MG) optimization, in which the load shedding in each MG is minimized. The day‐ahead schedule of the diesel generator, the charging/discharging power of the battery energy storage system (BESS), the reshaped load profile after applying the demand response programs (DRP), and the shortage/surplus power in each MG are determined in the first stage of optimization. The second stage is MMG optimization, in which the amount of energy shortage in the MMG system is further minimized by energy exchange between individual MGs. The remaining shortage can be reduced with the aid of the community MG resources. The proposed optimization model is formulated as a nonlinear complex optimization problem that can be handled more efficiently by the meta‐heuristic techniques compared with the conventional analytic methods. The political optimizer is used in this paper. To prove the effectiveness of this optimizer in handling the proposed model, we also solved the optimization problem using the particle swarm optimization algorithm, and results are compared.

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Section: Motivationmentioning

confidence: 99%

Energy management system for islanded multi‐microgrids using a two‐stage optimization scheme based on political optimizer

Mahmoud

Hasanien

Turky

et al. 2023

IET Renewable Power Gen

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“…Because no single energy source can provide cost‐effective, clean, and reliable power, combining several energy sources may be a viable technique for achieving a suitable solution. The most significant factor in global progress is energy 4 . During the preceding 45 years, people's dependency on electrical power infrastructure has increased substantially.…”

Section: Introductionmentioning

confidence: 99%

“…The most significant factor in global progress is energy. 4 During the preceding 45 years, people's dependency on electrical power infrastructure has increased substantially. The need for energy is rapidly rising, and conventional energy resources, due to their limits, are unable to meet it entirely.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of renewable integrated rural microgrid for sustainable energy supply

Kama¹,

Ashraf

Fernandez

2022

Energy Storage

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Renewable resources can help reduce carbon emissions, but their inconsistency causes inconsistent energy generation, mandating the introduction of a battery bank to overcome the demand‐supply gap. The integration of renewables for electrical supply systems in rural regions has received much attention, as has the hybrid energy system with storage for microgrids. This work presents an optimization technique for the design and operation of a standalone microgrid with load demand. The research framework is demonstrated by a case study in a remote rural location in Uttarakhand (India). This research proposes an integrated techno‐economic optimization and power management of a standalone integrated renewable energy system to meet the electrical energy demand. The levelized cost of energy (LCOE), the net present cost (NPC), and pollution emission are minimized using grey wolf optimization. Four alternative models are compared based on environmental considerations and economic research. According to the simulation findings, the optimal configuration has a 0.203 $/kWh LCOE and a 92% renewable portion. In addition, the optimization results have been presented and compared. Finally, a sensitivity analysis is performed to determine the impact of various factors on the system in question.

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“…12 introduced a two-objective two-level problem, finding the optimum planning of parallel interlinking converters to minimize the annualized investment cost and reliability index costs. Similarly, Çetinbas et al 13 presented the Harris Hawks Optimization algorithm to optimize and design the size of an AC microgrid. Furthermore, Hamed et al 14 integrated the power supply probability, total energy lost, and other values as a cost object function for the optimal sizing of hybrid renewable energy systems.…”

Section: Introductionmentioning

confidence: 99%

A bi-cyclic co-optimization method for sizing of electricity-hydrogen hybrid energy storage microgrid

Han

Chen

et al. 2022

Sustainable Energy Fuels

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Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm

Cited by 56 publications

References 50 publications

Energy management system for islanded multi‐microgrids using a two‐stage optimization scheme based on political optimizer

Energy management system for islanded multi‐microgrids using a two‐stage optimization scheme based on political optimizer

Optimal planning of renewable integrated rural microgrid for sustainable energy supply

A bi-cyclic co-optimization method for sizing of electricity-hydrogen hybrid energy storage microgrid

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