Optimization based on tabu search algorithm for optimal sizing of hybrid PV/energy storage system: Effects of tabu search parameters

Yuelin, Xu; Huang, Sihao; Wang, Ziwei; Ren, Yiming; Xie, Zongping; Guo, Jialin; Zhu, Zhongkui

doi:10.1016/j.seta.2022.102662

Cited by 10 publications

(6 citation statements)

References 30 publications

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“…Enough works by foreign researchers are devoted to this topic. In these researches the characteristics of existing power plants for which it is possible to connect hydrogen storage systems are considered in detail [23]- [29]. Researchers have developed various algorithms that allow to create a project of the optimal structure of an energy facility, depending on the target indicators [30]- [32].…”

Section: Introductionmentioning

confidence: 99%

Energy management in hybrid complexes based on wind generation and hydrogen storage

Shklyarskiy,

Andreeva,

Sutikno

et al. 2024

Bulletin EEI

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This work is devoted to the analysis of scientific articles in the field of hybrid energy complexes based on hydrogen technologies and renewable energy sources. A special attention is given to wind generation. The review of the topics of scientific publications indexed in the Scopus database in the field of research is carried out, the most frequently encountered topics and the rarest ones are highlighted. Brief statistics about publications selected for detailed analysis are given. The most interesting direction for studying is development of control systems for hybrid energy complexes. Several traditional approaches, which are commonly used in research on this topic and methods are highlighted. The existing shortcomings and inaccuracies in the overviewed works are identified. Conclusions are drawn about the need to transform existing methods and specific proposals are made to improve management systems to increase the efficiency of decision-making and achieve greater economic benefits. Promising areas of research that also require special attention are formulated.

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Section: Introductionmentioning

confidence: 99%

Energy management in hybrid complexes based on wind generation and hydrogen storage

Shklyarskiy,

Andreeva,

Sutikno

et al. 2024

Bulletin EEI

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“…The above research mainly focuses on the control of the frequency regulation characteristics of the power subsystem after adding clean energy into the multi-energy microgrid, or the research on the coordinated and optimized scheduling control of the grid primary frequency regulation and multi-energy microgrid by adding energy storage devices. In order to meet the inertia demand of the multi-energy microgrid system and improve the frequency cooperative support capability of the system, it is necessary to analyze the influencing factors of the inertia demand of the multi-energy microgrid cluster, and to realize the inertia frequency stability of the system through the coordination of multi-energy [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Frequency stability control method for multi-energy system considering storage characteristics and transmission inertia of hot and gas pipeline network

Zuo,

Teng,

Chen

2024

Sci. Tech. Energ. Transition

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The grid-connected capacity of renewable energy generation in multi-energy microgrid is increasing. This leads to a decrease in the inertia level in the microgrid, which has a great impact on the frequency stabilization control. This article proposes an adaptive control method for frequency control of inertia in multi-energy microgrids. Firstly, the system frequency fluctuation problem is addressed. Analyze the response characteristics of virtual inertia and the influence of physical inertia of rotating equipment on system frequency dynamics in multi-energy microgrid. Secondly, study the energy transfer characteristics of electric, thermal and gas systems in multi-energy microgrids. The energy coupling model between the subsystems in the multi-energy microgrid is established. And according to the difference of energy transmission time inertia of electric, heat and gas subsystems, the microgrid inertia response time model of different energy systems is established. Then, according to the energy balance stability criterion of multi-energy microgrid, combined with the current operating state of the system and the state of the higher-level distribution network, the fast response adaptive over-compensation control of multi-energy microgrid cluster is carried out to realize the inertia allocation in multi-energy microgrids. Finally, the proposed advanced frequency control method of multi-energy microgrid considering inertia demand is verified by simulation.

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“…Simulated annealing algorithm is one of the most popular trajectory-based methods and has been used for stiffness optimization, with finite element analyses performed using the PyAnsys software under an MIT License and a domain with 16 Q8 elements representing a quarter of RVE [64]. Tabu search algorithm is another trajectory-based method that has been used in optimizing the optimal sizing of hybrid PV/energy storage systems [65][66][67][68][69]. Nature-inspired methods follow the laws of nature and have been used in predicting glass properties by using physicsand chemistry-informed machine learning models [30,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87].…”

Section: Introductionmentioning

confidence: 99%

Design a wing flange lever mechanism using Giza pyramid algorithm

Al-Shabi

Abouelazm

Nassif

et al. 2023

Sensors and Systems for Space Applications XVI

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In this work, a well-known mechanism that is referred to as piston lever mechanism is design to control the wing's flange. The design targets the mechanism components and their location while maintaining the minimum oil level required to lift the flanges from 0 to 45 degrees. The design is considered a multi-objective optimization problem; in which we propose the Giza Pyramid Algorithm (GPA) to optimize. GPA is a newly developed metaheuristic technique of type ancientinspired that was developed in 2021. The GPA shall obtain the best design while satisfying four constrains. The algorithm will be tested in Monte Carlo simulation to show its effectiveness in terms of stability and robustness. The performance is then compared to the particle swarm optimization. The proposed method shows a superior result compared to the PSO.

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Optimization based on tabu search algorithm for optimal sizing of hybrid PV/energy storage system: Effects of tabu search parameters

Cited by 10 publications

References 30 publications

Energy management in hybrid complexes based on wind generation and hydrogen storage

Energy management in hybrid complexes based on wind generation and hydrogen storage

Frequency stability control method for multi-energy system considering storage characteristics and transmission inertia of hot and gas pipeline network

Design a wing flange lever mechanism using Giza pyramid algorithm

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