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Operating a storage-augmented hybrid microgrid considering battery aging costs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Performance analysis of CCHP and CHP systems operating following the thermal and electric load
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Environmental Protection Agency (EPA)
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Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems
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Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies
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Combined cooling, heating and power: A review of performance improvement and optimization
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Overview of current development in electrical energy storage technologies and the application potential in power system operation
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Realistic lifetime prediction approach for Li-ion batteries
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Operating conditions of lead-acid batteries in the optimization of hybrid energy systems and microgrids
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A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids
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Microgrid sizing with combined evolutionary algorithm and MILP unit commitment
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Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling
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Cooperation in microgrids through power exchange: An optimal sizing and operation approach
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An MILP formulation for the optimal management of microgrids with task interruptions
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Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application
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Energy management for stationary electric energy storage systems: A systematic literature review
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Analysis of the integrated performance and redundant energy of CCHP systems under different operation strategies
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Overview on recent developments in energy storage: Mechanical, electrochemical and hydrogen technologies
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Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects
inferredcites →https://doi.org/10.1016/j.energy.2012.03.049openalex-snapshot
Optimal control of a residential microgrid
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Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)
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A control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries
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Multiobjective optimization using Mesh Adaptive Direct Search for power dispatch problem of microgrid
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Optimization of a battery energy storage system using particle swarm optimization for stand-alone microgrids
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inferredcites →https://doi.org/10.1016/j.jclepro.2014.09.088openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jclepro.2018.01.144openalex-snapshot
How much electrical energy storage do we need? A synthesis for the U.S., Europe, and Germany
inferredcites →https://doi.org/10.1016/j.jpowsour.2005.01.006openalex-snapshot
Ageing mechanisms in lithium-ion batteries
inferredcites →https://doi.org/10.1016/j.jpowsour.2007.08.057openalex-snapshot
Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.02.041openalex-snapshot
Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.09.143openalex-snapshot
Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries
inferredcites →https://doi.org/10.1016/j.jpowsour.2014.02.012openalex-snapshot
A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries
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inferredcites →https://doi.org/10.1016/j.jpowsour.2014.10.153openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jpowsour.2014.12.047openalex-snapshot
Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes
inferredcites →https://doi.org/10.1016/j.jpowsour.2015.01.003openalex-snapshot
Multi-stress factor model for cycle lifetime prediction of lithium ion batteries with shallow-depth discharge
inferredcites →https://doi.org/10.1016/j.renene.2006.04.013openalex-snapshot
Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage
inferredcites →https://doi.org/10.1016/j.renene.2014.08.080openalex-snapshot
Development of optimization algorithms for the Leaf Community microgrid
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inferredcites →https://doi.org/10.1016/j.rser.2008.09.028openalex-snapshot
Overview of current and future energy storage technologies for electric power applications
inferredcites →https://doi.org/10.1016/j.rser.2011.05.003openalex-snapshot
Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review
inferredcites →https://doi.org/10.1016/j.rser.2014.10.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rser.2015.01.059openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rser.2015.04.025openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rser.2016.01.023openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rser.2016.09.063openalex-snapshot
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
inferredcites →https://doi.org/10.1016/j.rser.2016.11.102openalex-snapshot
Classification and assessment of energy storage systems
inferredcites →https://doi.org/10.1049/iet-gtd.2014.0818openalex-snapshot
Piecewise‐linear approximations for a non‐linear transmission expansion planning problem
inferredcites →https://doi.org/10.1109/evs.2013.6914730openalex-snapshot
Validation of the methodology for lithium-ion batteries lifetime prognosis
inferredcites →https://doi.org/10.1109/pesw.2001.916872openalex-snapshot
2001 IEEE Power Engineering Society Winter Meeting
inferredcites →https://doi.org/10.1109/tia.2015.2405500openalex-snapshot
Lifetime Estimation of the Nanophosphate $\hbox{LiFePO}_{4}\hbox{/C}$ Battery Chemistry Used in Fully Electric Vehicles
inferredcites →https://doi.org/10.1109/tie.2015.2412524openalex-snapshot
Optimal Economical Schedule of Hydrogen-Based Microgrids With Hybrid Storage Using Model Predictive Control
inferredcites →https://doi.org/10.1109/tpwrs.2016.2626392openalex-snapshot
Model-Based Dispatch Strategies for Lithium-Ion Battery Energy Storage Applied to Pay-as-Bid Markets for Secondary Reserve
inferredcites →https://doi.org/10.1109/tsg.2017.2713947openalex-snapshot
A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid
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A new life estimation method for lithium-ion batteries in plug-in hybrid electric vehicles applications
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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