☆ 4.6 Article

A Novel Improved Crow Search Algorithm to alleviate congestion in power system transmission lines

ENERGY REPORTS (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

A Levy Flight motivated meta-heuristic approach for enhancing maximum loadability limit in practical power system

Debanjan Mukherjee et al.

Summary: Most practical engineering optimization problems are highly nonlinear and nonconvex, making it difficult for traditional optimization techniques to find optimal solutions. Population-based meta-heuristic techniques have gained popularity for their ability to handle the nature of these problems. A new Levy Flight based Adaptive Particle Swarm Optimization technique is proposed to overcome these challenges and is shown to outperform other PSO variants in various tests.

APPLIED SOFT COMPUTING (2022)

添加到收藏夹

Article Automation & Control Systems

Performance evolution of different controllers for frequency regulation of a hybrid energy power system employing chaotic crow search algorithm

Dipayan Guha et al.

Summary: This paper compares the performance of different optimized controllers in the frequency regulation of a hybrid energy distributed power system (HEDPS). The authors propose a crow search algorithm with chaotic mapping to fine-tune the controller settings. Through extensive analysis, they confirm the superiority of the CC-TID controller and demonstrate the tuning competence of the adopted algorithm.

ISA TRANSACTIONS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A comprehensive analysis of grid-based wind turbine layout using an efficient binary invasive weed optimization algorithm with levy flight

Ismail Koc

Summary: Wind energy has gained significant attention in recent years due to the growing demand for alternative energy sources. This study focuses on optimizing the layout of wind turbines in wind farms using a grid-based approach. The study proposes novel grid sizes and a repair operator to ensure feasibility of the solutions. Additionally, a levy flight-based IWO algorithm is developed for layout optimization. Experimental comparisons show that the proposed algorithm outperforms the traditional IWO algorithm in terms of solution quality, with the 19 x 19 grid achieving the best success rate.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Thermodynamics

Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources

Vijaykumar K. Prajapati et al.

Summary: This paper analyzes the impact of ESS capacity on power system reliability and congestion relief, optimizing the charging and discharging to mitigate uncertainties. The appropriate size of ESS is selected based on the trade-off between investment cost and changes in costs for various stakeholders in the power system.

ENERGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi objective dragonfly algorithm for congestion management in deregulated power systems

C. Saravanan et al.

Summary: The paper discusses the major bother of congestion in transmission corridors for deregulated power system operation, and proposes a multi-objective congestion management procedure that aims to improve/retain power system security and reduce congestion costs by rescheduling active power. The method combines the Multi Objective Dragonfly Algorithm (MODA) and fuzzy decision-making principle, proving to be effective in experiments for congestion alleviation in the New England 39 bus systems.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Chaotic darwinian particle swarm optimization for real-time hierarchical congestion management of power system integrated with renewable energy sources

Namilakonda Srilatha et al.

Summary: A new Real-Time Hierarchical Congestion Management (RHCM) technique is proposed to optimize demand response loads and conventional generators scheduling using Chaotic Darwinian Particle Swarm Optimization, in order to alleviate transmission congestion issues. Solar and wind energy sources are modelled using Rayleigh and Beta probability density functions, with Latin Hyper cube sampling adopted for sampling.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Congestion management of power systems by optimizing grid topology and using dynamic thermal rating

M. EL-Azab et al.

Summary: The study proposes a multi-objective based congestion management procedure using OTS strategies considering the maximization of system reliability and minimization of total generation cost, with the use of DTR technology to enhance system performance. Simulation results show that transmission system reconfiguration while considering the DTR can lead to reduced generation costs and improved system performance.

ELECTRIC POWER SYSTEMS RESEARCH (2021)

添加到收藏夹

Article Energy & Fuels

Utilization of energy storage systems in congestion management of transmission networks with incentive-based approach for investors

Nader Tarashandeh et al.

Summary: This study proposes a multi-objective optimization framework for relieving transmission congestion by using new lines and ESSs, considering both the viewpoints of system operators and ESSs owners, as well as incentive-based method. Implemented on the IEEE-RTS 24-bus system, the results demonstrate the effectiveness of the proposed approach.

JOURNAL OF ENERGY STORAGE (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Optimal Operation of Energy Hubs With Large-Scale Distributed Energy Resources for Distribution Network Congestion Management

Junjie Hu et al.

Summary: This study focuses on the complementarity of multiple energy resources in energy hubs to solve possible distribution network congestions. An optimal operation strategy of multiple energy hubs enables gas-to-electricity to provide local energy supply for EH during electricity peak periods, and consume renewable energy generation by the complementarity of electricity, heat and cooling. The proposed operation strategy explores EHs' operation flexibility to mitigate distribution network congestion when considering high renewable energy penetration.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2021)

添加到收藏夹

Article Computer Science, Information Systems

A Novel Crow Search Algorithm Auto-Drive PSO for Optimal Allocation and Sizing of Renewable Distributed Generation

Hassan M. H. Farh et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Chemistry, Multidisciplinary

Online Static Security Assessment of Power Systems Based on Lasso Algorithm

Yahui Li et al.

APPLIED SCIENCES-BASEL (2018)

添加到收藏夹

Article Energy & Fuels

A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem

Asma Meddeb et al.

ENERGIES (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal resonance-free third-order high-pass filters based on minimization of the total cost of the filters using Crow Search Algorithm

Shady H. E. Abdel Aleem et al.

ELECTRIC POWER SYSTEMS RESEARCH (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Differential evolution algorithm with ensemble of parameters and mutation strategies

R. Mallipeddi et al.

APPLIED SOFT COMPUTING (2011)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization

Sudipta Dutta et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2008)

添加到收藏夹

Article Operations Research & Management Science

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Dervis Karaboga et al.

JOURNAL OF GLOBAL OPTIMIZATION (2007)

添加到收藏夹

Article Engineering, Electrical & Electronic

Congestion management in open access based on relative electrical distances using voltage stability criteria

G. Yesuratnam et al.

ELECTRIC POWER SYSTEMS RESEARCH (2007)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.