Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization

[1]  Francesco Grimaccia,et al.  Thermal and Performance Analysis of a Photovoltaic Module with an Integrated Energy Storage System , 2017 .

[2]  Z. Tan,et al.  A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power , 2017 .

[3]  Darren Jones,et al.  Coordination of Multiple Energy Storage Units in a Low-Voltage Distribution Network , 2015, IEEE Transactions on Smart Grid.

[4]  Ramezan Ali Naghizadeh,et al.  Multi-criteria optimal sizing of hybrid renewable energy systems including wind, photovoltaic, battery, and hydrogen storage with ɛ-constraint method , 2018 .

[5]  Laijun CHEN,et al.  Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system , 2016 .

[6]  Nanming Chen,et al.  The effect of pumped storage and battery energy storage systems on hydrothermal generation coordination , 1992 .

[7]  Yongliang Li,et al.  An economic feasibility assessment of decoupled energy storage in the UK: With liquid air energy storage as a case study , 2018, Applied Energy.

[8]  Seyed Naser Razavi,et al.  Empowering particle swarm optimization algorithm using multi agents' capability: A holonic approach , 2017, Knowl. Based Syst..

[9]  A Q Huang,et al.  The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet , 2011, Proceedings of the IEEE.

[10]  Saeed Lotfifard,et al.  Scalable Coordinated Control of Energy Storage Systems for Enhancing Power System Angle Stability , 2018, IEEE Transactions on Sustainable Energy.

[11]  Ahmad Ghasemi,et al.  Optimal energy management of a renewable-based isolated microgrid with pumped-storage unit and demand response , 2018, Renewable Energy.

[12]  Mauro Gamberi,et al.  State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs) , 2018, Frontiers in Energy.

[13]  Arindam Ghosh,et al.  Smart Coordination of Energy Storage Units (ESUs) for Voltage and Loading Management in Distribution Networks , 2013, IEEE Transactions on Power Systems.

[14]  Andreas Poullikkas,et al.  Overview of current and future energy storage technologies for electric power applications , 2009 .

[15]  Alberto Leon-Garcia,et al.  A Fog-Based Internet of Energy Architecture for Transactive Energy Management Systems , 2018, IEEE Internet of Things Journal.

[16]  Tomislav Dragicevic,et al.  Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid , 2018, Renewable and Sustainable Energy Reviews.

[17]  Dan Zhang,et al.  Internal Force Response of a Pile in an Inhomogeneous Temperature Field , 2017 .

[18]  Mauro Gamberi,et al.  Technical and economic design of photovoltaic and battery energy storage system , 2014 .

[19]  Mauro Gamberi,et al.  Economic and environmental bi-objective design of an off-grid photovoltaic–battery–diesel generator hybrid energy system , 2015 .

[20]  Abdelkader Abdessameud,et al.  Distributed output regulation of heterogeneous linear multi-agent systems with communication constraints , 2018, Autom..

[21]  Seiichi Shin,et al.  Self-organization of Decentralized Swarm Agents Based on Modified Particle Swarm Algorithm , 2006, J. Intell. Robotic Syst..

[22]  Yasunori Mitani,et al.  Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid , 2018 .

[23]  Francisco Jurado,et al.  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 .

[24]  Visa Koivunen,et al.  Optimal Energy Consumption Model for Smart Grid Households With Energy Storage , 2013, IEEE Journal of Selected Topics in Signal Processing.

[25]  B. Kang,et al.  Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home , 2018 .

[26]  S. M. Kannan,et al.  Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods , 2011, Appl. Soft Comput..

[27]  Chuangxin Guo,et al.  A multiagent-based particle swarm optimization approach for optimal reactive power dispatch , 2005 .

[28]  Helder Leite,et al.  Coordinating independent non-dispatchable generation and energy storage systems , 2014 .

[29]  Ricardo Nicolau Nassar Koury,et al.  Energy, exergy and economic analysis of a hybrid renewable energy with hydrogen storage system , 2018 .

[30]  Shivkumar Kalyanaraman.  Back to the Future: Lessons for Internet of Energy Networks , 2016, IEEE Internet Computing.

[31]  June-Seok Lee,et al.  Low-Voltage Ride-Through Control Strategy for a Grid-Connected Energy Storage System , 2018 .

[32]  Kehe Wu,et al.  A multi-agent-based energy-coordination control system for grid-connected large-scale wind–photovoltaic energy storage power-generation units , 2014 .

[33]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[34]  Nuno Silva,et al.  Coordination of multifunctional distributed energy storage systems in distribution networks , 2016 .

[35]  Bahadur Singh Pali,et al.  A novel pumped hydro-energy storage scheme with wind energy for power generation at constant voltage in rural areas , 2018, Renewable Energy.

[36]  Rikiya Abe,et al.  Digital Grid: Communicative Electrical Grids of the Future , 2011, IEEE Trans. Smart Grid.

[37]  Wooyoung Jeon,et al.  How Does Energy Storage Increase the Efficiency of an Electricity Market with Integrated Wind and Solar Power Generation?—A Case Study of Korea , 2017 .

[38]  Keith Robert Pullen,et al.  Development of a high-fidelity model for an electrically driven energy storage flywheel suitable for small scale residential applications , 2018 .

[39]  Ahmet Aktas,et al.  Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications , 2017 .

[40]  Josep M. Guerrero,et al.  Energy Management Strategy for Grid-Tied Microgrids Considering the Energy Storage Efficiency , 2018, IEEE Transactions on Industrial Electronics.

[41]  A. Shunmugalatha,et al.  Maximum Loadability Limit of a Power System Using Multiagent-based Hybrid Particle Swarm Optimization , 2008 .

[42]  S. M. Muyeen Muyeen,et al.  Communication, Control and Security for the Smart Grid , 2017 .

[43]  Ghassem Mokhtari,et al.  Optimal Cooperative Management of Energy Storage Systems to Deal with Over- and Under-Voltages , 2017 .

[44]  Irem Y. Tumer,et al.  Design of Complex Engineered Systems Using Multi-Agent Coordination , 2018, J. Comput. Inf. Sci. Eng..

[45]  Rajesh Kumar,et al.  A new hybrid multi-agent-based particle swarm optimisation technique , 2009, Int. J. Bio Inspired Comput..

[46]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[47]  Abhinav Sadu,et al.  A hybrid multi-agent based particle swarm optimization algorithm for economic power dispatch , 2011 .

[48]  Danny Pudjianto,et al.  Decentralized Coordination of Microgrids With Flexible Demand and Energy Storage , 2014, IEEE Transactions on Sustainable Energy.