Abstract
This paper suggests an automated control technique constructed on the Multi-Objective Particle Swarm Optimization to enhance the operation of a wind farm, a marine power plant and a photovoltaic array with a battery energy storing system. due to changes in PV / wind / tide, and to boost the efficiency of offshore wind farms and marine power stations connected to the battery-powered storage system, with a view to smoothing power production, the aim of projected automatic control strategy is to minimize power fluctuations and voltage variations. The battery energy storage network was used with an optimized demand response strategy based on the real-time pricing model to improve stability and power efficiency, reduce the power fluctuations and variations in bus voltage and address renewable energy generation instability. The multi-objective particle swarm optimization-based energy management programming model would be used to minimize running costs, pollutant emissions, increase the demand response benefits of micro grid operators and, at the same time, meet the load demand constraints from customers of all sorts, such as domestic, commercial and industrial users.
Highlights
Ocean energy covers numerous renewable sources, such as marine, tidal, solar, wave power, and offshore wind. marine-current plant and Offshore wind farm will be broadly built at different sites across the globe over the coming years, covering more than 70 % of the earth 's atmosphere [1] for power supply and has been implemented effectively in many developed nations, photovoltaic, wind and ocean power generated energy is well suited
The configuration of the ocean wave energy is generated by a Double Fed Induction Generator ( DFIG), while new underwater farm technologies are provided by a squirrelcage induction generator (SCIG)
This paper describes the control mechanism for a DCconnected hybrid power network utilizing three sources of power generation, PV system, offshore wind and marsh turbines
Summary
Ocean energy covers numerous renewable sources, such as marine, tidal, solar, wave power, and offshore wind. marine-current plant and Offshore wind farm will be broadly built at different sites across the globe over the coming years, covering more than 70 % of the earth 's atmosphere [1] for power supply and has been implemented effectively in many developed nations, photovoltaic, wind and ocean power generated energy is well suited. Through using the battery energy storage network or information systems with proper control methods, appropriate converter and variable speed induction generators function, improvement of vehicle reliability, minimization of power fluctuations and improvement of bus voltage. This project seeks to evaluate the optimum operation of the smart micro grid with the goal of reducing running costs and emissions and increasing the reliability of smart micro grid results. Where ref is approximate sea level and opt is the ideal ratio of tip rpm, a known quantity and based on turbine characteristics
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