Optimal sizing and control of hybrid energy storage system for wind power using hybrid Parallel PSO-GA algorithm
出版年份 2018 全文链接
标题
Optimal sizing and control of hybrid energy storage system for wind power using hybrid Parallel PSO-GA algorithm
作者
关键词
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出版物
ENERGY EXPLORATION & EXPLOITATION
Volume -, Issue -, Pages 014459871878403
出版商
SAGE Publications
发表日期
2018-06-26
DOI
10.1177/0144598718784036
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators
- (2017) H.S. Ramadan et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm
- (2017) Tedjani Mesbahi et al. IEEE Transactions on Sustainable Energy
- Optimized operation combining costs, efficiency and lifetime of a hybrid renewable energy system with energy storage by battery and hydrogen in grid-connected applications
- (2016) Pablo García-Triviño et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Review of energy storage system for wind power integration support
- (2015) Haoran Zhao et al. APPLIED ENERGY
- The Ragone plots guided sizing of hybrid storage system for taming the wind power
- (2015) Yiming Zhang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A method for optimal sizing energy storage systems for microgrids
- (2015) Juan P. Fossati et al. RENEWABLE ENERGY
- Lifetime estimation tool of lead–acid batteries for hybrid power sources design
- (2015) Toufik Madani Layadi et al. SIMULATION MODELLING PRACTICE AND THEORY
- Control strategies to use the minimum energy storage requirement for PV power ramp-rate control
- (2015) I. de la Parra et al. SOLAR ENERGY
- Grid-scale energy storage applications in renewable energy integration: A survey
- (2014) Anya Castillo et al. ENERGY CONVERSION AND MANAGEMENT
- Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach
- (2014) Masoud Sharafi et al. RENEWABLE ENERGY
- Stochastic Performance Assessment and Sizing for a Hybrid Power System of Solar/Wind/Energy Storage
- (2014) Amirsaman Arabali et al. IEEE Transactions on Sustainable Energy
- Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems
- (2013) Rodolfo Dufo-López et al. APPLIED ENERGY
- Characterization of PV panel and global optimization of its model parameters using genetic algorithm
- (2013) M.S. Ismail et al. ENERGY CONVERSION AND MANAGEMENT
- Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm
- (2013) Bahman Bahmani-Firouzi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A survey on energy storage resources configurations in order to propose an optimum configuration for smoothing fluctuations of future large wind power plants
- (2013) M. Jannati et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage
- (2013) M. Khalid et al. RENEWABLE ENERGY
- Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning
- (2012) Vincent Roberge et al. IEEE Transactions on Industrial Informatics
- Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
- (2009) Hui Liu et al. APPLIED SOFT COMPUTING
- Influence of Battery/Ultracapacitor Energy-Storage Sizing on Battery Lifetime in a Fuel Cell Hybrid Electric Vehicle
- (2009) E. Schaltz et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Progress in electrical energy storage system: A critical review
- (2009) Haisheng Chen et al. Progress in Natural Science-Materials International
- Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example
- (2007) Dirk Uwe Sauer et al. JOURNAL OF POWER SOURCES
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