Research On Optimal Dispatching Of Distributed Energy System Based On Harmony Search Algorithm

With the rapid development of the economy and society,people's energy consumption continues to increase.The traditional energy supply model consumes fossil energy and the energy utilization rate is low,resulting in an increasingly intensified energy crisis and environmental pollution problems.Due to the advantages of high clean energy utilization rate,flexible installation location,easy control,low carbon environmental protection and other advantages,distributed energy systems with combined heating,cooling and power supply as the core unit have become the trend of future energy technology development.In the distributed energy system,the access of energy storage equipment can improve the absorption capacity and utilization efficiency of clean energy,reduce the load peak and valley difference,improve the flexibility and economy of system scheduling,and hydrogen storage devices compared to conventional energy storage The equipment has the characteristics of large storage capacity,long service life,clean and environmental protection,and is an emerging energy storage device.At the same time,with the rapid rise of the power energy industry and the development of network information technology,the energy internet will become an important direction for future energy development,interconnecting multiple distributed energy systems within the same distribution area to form a distributed energy network system How to coordinate and optimize the distributed energy network system has become a hot issue in current research.By analyzing the research background and significance of the distributed energy system,this paper studies the optimal scheduling problem of the distributed energy system.The specific research work is as follows:First,the structure of the distributed energy system is established,and the relationship of multiple energy flows in the system is analyzed.Research and model the operating characteristics of the equipment in the system,and construct a mathematical model of major equipment such as photovoltaic cells,wind turbines,gas boilers,micro gas turbines,air conditioning units,absorption refrigeration units,storage batteries,and hydrogen storage devices.Subsequent work such as research on optimization scheduling and verification of optimization effects have laid a solid theoretical foundation.Second,with the lowest economic cost as the objective function,an optimized economic dispatch model for distributed energy systems containing hydrogen storage devices was established.The particle swarm optimization algorithm,harmony search algorithm and improved harmony search algorithm are used to solve the model,and the optimal output size and minimum economic cost of each micro-source and hydrogen storage device in the system are obtained,and compared with the traditional optimized economic dispatch model.The simulation example verifies the effectiveness of the proposed scheduling model.The simulation shows that the connection of the hydrogen storage device can significantly reduce the economic cost of the distributed energy system.By comparing and analyzing the convergence characteristic curves of the three algorithms,it is verified that the improved harmony search algorithm has better optimization performance.Finally,with the development of distributed energy system technology and the concept of global energy internet,it has become an inevitable development of distributed energy systems to gradually integrate multiple distributed energy systems in a certain distribution area to form a distributed energy network system.Therefore,multiple distributed energy systems are connected by a Y-connection of common connection points,and the coordinated optimal scheduling of distributed energy network systems is achieved by constraining the real-time balance of input and output electric power of the common points.On the basis of the lowest economic cost,the target of the lowest pollutant emission was added,and a multi-objective optimal dispatch model of the distributed energy network system was established.The multi-objective harmony search algorithm based on Pareto theory was used to solve the built model..The experimental simulation results show that the multi-objective optimal scheduling method of the distributed energy network system proposed in this paper can effectively reduce the total economic cost of the system,and can effectively take into account the environmental protection index of the system.