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Keywordsdistributed control; consensus protocol; multi-agent system; dynamic loads; frequency regulation; microgrid; wind turbine; remote; island; hybrid power system; battery; HOMER; feasibility study; microgrid; model predictive control; predictive power control; battery energy storage system (BESS); frequency control; hybrid generation system (HGS); reactive capability; reactive power assignment; power conversion system (PCS) control; voltage source converter (VSC); battery energy storage system (BESS); electric vehicles (EVs); optimal scheduling; energy storage system; super-capacitor; energy management; configuration; economic efficiency; voltage drop compensation; genetic algorithm; price arbitrage; battery energy storage system; optimal operation; hourly electricity prices; energy management; demand side management (DSM); distributed thermal storage; forecasting; water heater; energy storage; power management; optimization; stochastic loads; flywheel; RTG crane; energy storage system (ESS); supercapacitor; control strategy; train braking characteristics; traction substation; charge and discharge threshold; vehicle vibration; electric vehicle (EV); hybrid electric vehicle (HEV); Li-ion battery ageing; battery management system (BMS); power-saving; green cellular systems; multiple component carriers; battery storage; distributed control; electric vehicles; additive increase multiplicative decrease (AIMD); voltage control; smart grid; wireless power transfer; wireless power transfer grid; energy link; genetic algorithm; battery energy storage system (BESS); LiFePO4 battery; primary frequency control; demand side management; renewable energy systems; European power system; energy system modelling; wind energy; solar energy; energy storage system (ESS); frequency regulation (FR); optimal scheduling; state-of-charge (SOC); energy management; lithium-ion battery; battery management system; convective thermal model; cell model; state-of-charge; n/a
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