Optimal Design And Simulation On Multi-energy Complementary Power Generation System Of Wind-Solar-Micro Combustion Engine

In recent years,the development and utilization of wind energy and solar energy resources have become increasingly mature.However,wind energy and solar energy are largely constrained by the climate;they are random and intermittent,presenting great challenges to the economical,stable,and reliable operation of power generation systems.Therefore,a variety of multi-energy complementary power generation systems have emerged.In this paper,the optimization design and simulation modeling of multi-energy complementary power generation system of wind-solar-micro combustion engine is studied.A system configuration optimization scheme is proposed and simulation is carried out to reduce the full-cycle economic operation cost of multi-energy complementary power generation system and improve the system reliability.The results obtained can provide references for the promotion and application of multi-energy complementary power generation systems.The main work and results of this article are as follows:(1)Establish the evaluation index of reliability and economy with the objective of minimizing the full-period economic cost as the objective function.Under the condition of satisfying the user’s needs and system functions,the optimal configuration of the multi-energy complementary power generation system of wind-solar-micro combustion engine is sought.Adaptive particle swarm optimization algorithm is used to perform multi-constrained optimization of the objective function,and the optimization software is developed to realize the optimization design of the entire system.On this basis,an example analysis is performed to obtain the optimal configuration design of the system under different operating modes and different load requirements.(2)The Dymola software platform was used to complete the simulation model of the main equipment in multi-energy complementary power generation system,and the Dymola model library of the hybrid power generation system was completed,and the simulation model was verified and analyzed.The obtained results lay a foundation for further research on the simulation of the multi-energy complementary power generation system,which has great theoretical significance and practical engineering application value.(3)Apply the above model to an office park in Hangzhou and transfer the Dymola model.According to the multi-energy complementary power generation system of wind-solar-micro combustion engine,simulating the dynamic characteristics of summer and winter typical days,then comparing and analyzing the actual demand.In addition,simulating different configurations of power generation systems to verify the actual results of the optimized design.The results show that the optimally configured of Dymol multi-energy complementary power generation system model,which can better meet the actual electricity demand of the office park and operate economically and reliably.In this paper,the adaptive particle swarm optimization algorithm is used to complete the optimal design of the multi-energy complementary power generation system.The Dymola platform is used to complete the simulation of the above system,providing a new study for the optimization design and simulation of multi-energy complementary systems.The method has a good sense of innovation.Subsequent studies can improve the simulation results for different load requirements to better guide the actual operation of the system.