Capacity Optimization Strategy For New Energy Ship Hybrid Power System

In today’s development of new types of ships,new energy power generation technology in ship has quickly become the focus of attention in this field due to its advantages of pollution-free,renewable,and high use value.How to apply new energy technology to ships has become the top priority of research.However,in the new energy ship power system,the traditional terrestrial photovoltaic power generation system model cannot accurately get the total power generation of the shipboard photovoltaic panels,and the unreasonable power distribution in the hybrid energy storage system will cause problems such as low energy storage efficiency and reduced service life.Unreasonable system capacity allocation will cause severe fluctuations in the power grid,increased energy consumption,and increased electricity costs.Therefore,this thesis aims at the above-mentioned problems found in the research of new energy,ships,carries out related research and analysis according to the main line of "improvement of photovoltaic power generation system model—hybrid energy storage system power distribution strategy—new energy hybrid power system capacity optimization strategy".Compared with the terrestrial new energy power system,the new energy ship power system is not only intermittent and random,but the photovoltaic power generation system is also affected by the position change of the ship while it is sailing and the ship rolling.In order to obtain the power generation of solar panels more accurately,this thesis accurately corrects the three factors of the model of photovoltaic power generation system to suit for new energy ships,which is maximum power point tracking coefficient,solar irradiance,and the light-receiving area of-photovoltaic panels.Secondly,there is a contradiction between supply and demand between the photovoltaic power generation system and the load,and the ship load is special,because of it’s sudden changes.This thesis introduces the energy storage configuration of hybrid energy storage,constructs an equivalent circuit model,and selects the appropriate System architecture of ship energy storage.On the basis of considering the ship rolling,the hybrid energy storage system is adaptively modified,and the high-frequency filtering method is improved at the same time.The state of charge of the super capacitor is divided into three intervals,and modifies the reference value of power output.After comparison of simulation experiments,it is concluded that the improved the high-frequency filtering method can effectively and reasonably optimize the state of charge of supercapacitors,and improve the working efficiency and service life of hybrid energy storage.Finally,in order to ensure reasonable capacity allocation of the hull power system and safe driving,this thesis proposes an optimization strategy for a new energy ship hybrid power station system.The strategy uses a multi-objective and multi-constrained particle swarm optimization algorithm that incorporates the genetic algorithm’s cross process.Optimizing the output of the diesel engine and the capacity of the energy storage battery in the ship’s power system in consideration of the ship’s sway.At the same time of ensuring the operational efficiency of ships,the power system operating costs and fuel consumption are reduced.Taking an ocean tanker as an example,within a voyage,the optimized marine hybrid power station system satisfies the reliability of power consumption and reasonably allocates the output of each micro power source,which significantly improves the power cost of the power system.