Research On Integrated Management Strategy Of Large Cruise Power System

The power system of large cruise ships mostly adopts integrated electric propulsion system,which as the heart of the whole cruise ship,requires the safe and stable operation of the system under different working conditions.Therefore,it puts forward higher requirements for the planning,design and operation control of multi parallel generator units in the power system.At the same time,the cruise ship as a passenger ship on the demand for operating economy,in order to meet the power based on the optimization of cruise ship navigation economy.In response to this requirement,this paper optimizes the unit scheduling rules and updates the management strategy based on the design of an integrated management strategy with sequential unit scheduling rules,using a particle swarm-gray wolf hybrid algorithm to achieve the purpose of reducing the power generation cost of the cruise ship power system.Firstly,the subsystems of the cruise ship power system are clearly divided,following the idea of object-oriented modeling,and according to the mathematical model of each object,the MATLAB/Simulink simulation platform is used to establish the model of the controlled objects in the system.Including: diesel generator set model,transformer model,inverter model,propulsion motor model.The accuracy of each model is checked,and the simulation model error does not exceed 6%,and the simulation error of generator end under sudden discharge load is 0.71%,which meets the accuracy requirement.Second,from the functional requirements of the integrated management strategy,the management strategy structure is determined and the integrated management strategy based on the unit sequential scheduling rules is designed.The management strategy model that can be used for the control object is established and fused with the controlled object to integrate into an offline simulation platform for cruise ship power system.On this basis,the offline simulation of the sequential rule management strategy is verified.For the diesel engine speed fluctuation caused by the parallel and uncoupling operation of the generator set,the maximum speed fluctuation does not exceed 2% and the maximum stabilization time does not exceed 4s;the propulsion motor speed fluctuation does not exceed 7% and the maximum stabilization time does not exceed 5s.Again,taking the optimization of cruise ship power system operation economy as the starting point,the particle swarm-gray wolf hybrid algorithm is developed for the unit scheduling priority problem,and the output power combination of generating units with the lowest power generation cost under different demand power ranges is obtained by the algorithm solution.Using the fuel consumption and start-up cost of prime mover and emission treatment cost as the measurement index,the power generation cost under different load rates is reduced by 3.9% on average.Based on the optimization results,the integration management strategy is designed and updated,and the operational control of the optimized strategy for each part of the system model is verified.During the validation process,the maximum fluctuation of diesel engine speed does not exceed 3%,the fluctuation of propulsion motor speed does not exceed 1%,and the maximum stabilization time does not exceed 5s.Finally,the real-time operation capability of the control strategy is verified in NI-Pharlap and Simpole real-time simulation environments in order to make the optimized strategy operation control closer to reality.In a real-time environment,the economy-optimal strategy can meet the power and economy requirements of cruise ship speed change conditions and sudden load discharge conditions.During the dynamic update of the unit operating on the network,the maximum fluctuation of the generator set voltage and frequency does not exceed0.1% and 0.2Hz,and the stabilization time does not exceed 5s;the maximum fluctuation of the generator set speed does not exceed 5%,and the fluctuation stabilization time does not exceed 1s.