| With the development of society,the demand for energy is increasing.However,fossil fuels and other disposable energy sources are being depleted.For the deterioration of environment,in order to satisfy the needs of production and human life,to find and develop clean renewable energy have become a common topic in the world.At the present stage,the control of photovoltaic power generation technology is basically mature,but the photoelectric conversion efficiency of photovoltaic power generation is low,relatively,the energy utilization rate of solar thermal power generation is high.At present,the main factors that restricting the solar thermal power generation are high construction cost and huge initial investment cost,it could be solved by the multi-source interconnected power generation system which is based on photovoltaic power generation,solar thermal power generation,supercapacitor and heat storage devices to a certain extent.Microgrid is an important form of distributed generation.Because of the existence of the energy storage system,the anti-interference ability of the microgrid power generation system is strong,which greatly improves the power supply reliability of the power generation system.It is a hot issue to study the power generation system in the world.In this article,aiming at the multi-source interconnected micro grid generation system,the construction cost,the operation cost and the capacity of the system are opitmized by using large scale system correlation equilibrium method,the results show that the optimization results of the system can be further optimized by using the correlation balance method compared with the traditional multi-objective optimization method.First,for multi-source interconnection microgrid generation system,the system structure is discussed,and the functions and characteristics of each part of the system are introduced;the capacity model of photovoltaic generation system,solar thermal power generation system and energy storage system is established,and the power generation capacity of multi-source interconnection microgrid generation system is calculated;in view of the construction cost,operation cost and power generation capacity of the system,the reliability of the power supply is taken as the constraint condition of the system,and the objective function of multilevel multi-objective optimization is constructed.Secondly,the hierarchical theory of large scale system is introduced,and the principle of correlation equilibrium is expounded.By constructing local decision making units and coordinators,a multi-source interconnection equilibrium model of microgrid generation system is established.And while applying the association balance method,the optimization indexes of local decision maker and coordinator are optimized by Non-dominated Sorting Genetic Algorithm(NSGA-II)and Particle Swarm Optimization(PSO),and a simple performance comparison is made between NSGA-II and PSO.Finally,the results of multi target optimization of multi source interconnected microgrid power generation system are compared by using interaction balance method and traditional multi-objective optimization method.The construction cost,operation cost and generation capacity of the system are selected as the objective function of the system,and the power supply reliability is the constraint condition of the system,the optimization results of multi-source interconnection microgrid generation system at generating capacity of 4MW,6MW,8MW and 10 MW are obtained respectively.Through the analysis of the optimization results,it not only proved the advantages of the multi-source interconnected microgrid power system in the economic performance,but also proved that the multilevel multi-objective optimization results of the system using correlation equilibrium method is better than using the traditional multi-objective optimization algorithm.And on the whole,the application of NSGA-II algorithm to optimize the system is better than the application of PSO algorithm. |
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