Multi-objective RIME algorithm-based techno economic analysis for security constraints load dispatch and power flow including uncertainties model of hybrid power systems

Energy Reports, Год журнала: 2024, Номер 11, С. 4423 - 4451

Опубликована: Апрель 18, 2024

In recent times, the landscape of power systems has undergone significant evolution, particularly with integration diverse renewable energy sources (RESs). This advancement presents an invaluable opportunity to enhance efficiency in modern grid, primarily by bolstering role stochastic RESs. The challenge lies optimal flow (OPF), a multifaceted and non-linear optimization that grows more complex inclusion RESs aims optimize allocation system resources minimize operational cost while maintaining stability security system. Addressing this, current study introduces innovative approach, Multi-Objective RIME (MORIME) algorithm. Drawing inspiration from physical phenomenon rime-ice, called RIME, MORIME seeks effectively tackle OPF issues. algorithm enhances solution accuracy smartly dividing non-dominated sorting crowding distance mechanism. proposed model incorporates three types RESs: solar photovoltaic, wind small-scale hydropower units. While uncertainties speed irradiation are managed through Monte Carlo simulations, small hydro unit is considered constant source. efficacy tested on IEEE 30 bus results indicate method identifies for multi-objective problem satisfying constraints, thereby proving its effectiveness superiority over MOWOA, MOGWO, MOALO, MOMRFO MOAGDE terms Hyper Volume (HV) reciprocal Pareto Sets Proximity (1/PSP) metrices. source code available at: https://github.com/kanak02/MORIME

Язык: Английский

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Mirage search optimization: Application to path planning and engineering design problems

Advances in Engineering Software, Год журнала: 2025, Номер 203, С. 103883 - 103883

Опубликована: Фев. 18, 2025

Язык: Английский

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A normalized deep neural network with self-attention mechanisms based multi-objective multi-verse optimization algorithm for economic dispatch

Applied Energy, Год журнала: 2025, Номер 383, С. 125414 - 125414

Опубликована: Янв. 24, 2025

Язык: Английский

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Designing an optimal hybrid microgrid system using a leader artificial rabbits optimization algorithm for domestic load in Guelmim city, Morocco

Renewable Energy, Год журнала: 2024, Номер 223, С. 120011 - 120011

Опубликована: Янв. 13, 2024

Язык: Английский

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A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems

Expert Systems with Applications, Год журнала: 2024, Номер 256, С. 124929 - 124929

Опубликована: Июль 30, 2024

Язык: Английский

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Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems

IEEE Internet of Things Journal, Год журнала: 2024, Номер 11(11), С. 20605 - 20618

Опубликована: Март 5, 2024

An innovative method to raise wireless communication systems' efficiency is use Reconfigurable Intelligent Surface (RIS). Unfortunately, determining the quantity and locations of RIS elements continues be difficult, requiring a clever optimization framework. Concerning practical overlap between related multi-RISs in systems, this paper attempts minimize number RISs while considering average possible data rate technological constraints. In regard, novel Enhanced Artificial Rabbits Algorithm (EARA) developed installed. The EARA inspired by natural survival strategies rabbits, including detour eating random concealment. A more effective exploring search space around best solution so far produced suggested combining an upgraded Collaborative Searching Operator (CSO) arrangement. Also, adaptive time function included increase effect exploitation tactic increasing iterations. simulation results show that highly efficient reaching maximum success producing smallest under various feasible threshold settings. When compared standard Optimizer (ARO), Growth (GO), Ecosystem (AEO), Particle Swarm Optimization (PSO), improved 5.32%, 6.7%, 16.73%, 20.06%, respectively. Furthermore, according data, outperforms AEO, GO, ARO, PSO terms at δ=1.4 6.66%, 45.43%, 99%,

Язык: Английский

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Optimizing engineering design problems using adaptive differential learning teaching-learning-based optimization: Novel approach

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126425 - 126425

Опубликована: Янв. 1, 2025

Язык: Английский

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Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system

Evolutionary Intelligence, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 9, 2025

Язык: Английский

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Enhanced growth optimizer algorithm with dynamic fitness-distance balance method for solution of security-constrained optimal power flow problem in the presence of stochastic wind and solar energy

Applied Energy, Год журнала: 2024, Номер 368, С. 123499 - 123499

Опубликована: Май 25, 2024

Язык: Английский

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A gazelle optimization expedition for key term separated fractional nonlinear systems with application to electrically stimulated muscle modeling

Chaos Solitons & Fractals, Год журнала: 2024, Номер 185, С. 115111 - 115111

Опубликована: Июнь 15, 2024

Язык: Английский

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