Research On Energy System Operation Optimization Strategy Based On Energy Cloud Technology

With the development of energy Internet and smart energy system,its optimal configuration and operation research is the development trend of current research.In the process of optimization,in order to improve the efficiency of energy utilization,increase the proportion of renewable energy utilization and realize the energy complementarity and interconnection among regional energy systems,this paper will determine optimized operation strategy of energy system,considering economy and environment,which address the energy supply and demand between the energy system itself and the surrounding areas,integrate energy network with trading network and information network.The research shows that under the guidance of energy cloud theory,making full use of computer technology can promote the development of new energy systems and accelerat the development of smart cities.This paper mainly explores and analyses the theoretical development of energy cloud technology and the optimization of energy system operation.The main work is as follows:(1)The development status of energy Internet technology and optimization of energy system operation at home and abroad is elaborated,and the current academic research on optimization operation of energy system is summarized.(2)Under the background of energy cloud technology theory,the key roles of Internet of Things and big data technology in the development of energy cloud are further analyzed from the relationship of energy attributes.Secondly,the characteristics of energy system under the future energy cloud technology are summarized,and the optimal control framework of energy system is sorted out.Comparing the energy system under the energy cloud technology with the traditional way from two angles,the system operation optimization process from the collection layer,storage layer,analysis layer to application layer is proposed.In this paper,the concepts of "supply area" and "demand area" are given,and the theory of dynamic load calculation theories and equipment model are presented, which lay a theoretical foundation for solving the problem of objective optimization in the next step.(3)Aiming at the operation optimization of single-region energy system,i.e.one-to-one mode,taking the economic optimization goal as an example,introducing energy storage equipment,a single-objective operation optimization model is established,which can be used to formulate the operation optimization strategy of the "self-sufficient" energy system.Through the analysis of the actual energy system,which integrates multiple energy input and energy conversion equipment for energy output,the mixed integer linear programming algorithm is adopted to solve the operation strategy of dynamic load demand.The simulation optimization results show that the annual operating cost is 28.23% lower than the original scheme,which verifies the rationality of the model in the operation optimization of energy system in a single region,and it can flexibly adapt to the operation optimization of energy system with different energy forms and regional characteristics.(4)For multi-regional energy systems:(1)Firstly,taking economy and environmental protection as optimization objectives,the objective function and corresponding constraints are established,and two-stage multi-objective optimization method is adopted to coordinate and optimize the operation of multi-regional energy system.The first stage is the single-objective weighting method,which decouples the objective functions of "supply area" and the "demand area" to solve the corresponding operation optimization strategies and operation costs under different objectives,determing subjective weight with entropy weight method and objective weight with expert investigation method.In the second stage,the maximum operator method of the fuzzy set theory is used to formulate the coordinated optimal operation scheme under the comprehensive economic and environmental objectives.(2)Secondly,taking the actual project as an example,the operation optimization strategies under different objectives are simulated by MATLAB.The results of different optimization objectives are analyzed and discussed,which can provide theoretical and technical guidance for the operation optimization of regional energy system under limited conditions or other target requirements in the future.The grey relational projection evaluation method is used to verify the accuracy of the two-stage multi-objective optimization method.(3)Finally,the optimization and the traditional scheme are compared and analyzed from the aspects of economy and system-level source-side reliability.Through calculation,it is found that under the guidance of energy cloud theory and the system operation optimization algorithm proposed in this paper,the investment cost of regional energy system and the operation cost are decreased compared with the traditional scheme from the perspective of economy;the multi-energy complementary energy system is more reliable than the traditional single energy system from system-level source-side reliability.(5)Through the establishment of the system level reliability evaluation system,the evaluation index and calculation method are determined and applied to the practical example.This paper respectively in a single regional energy system,Multi-regional energy system as the research object,by collecting the user side demand information data,achieve the complementary advantages and interconnection of various grades and types of energy,maximize the overall interests of the region from the aspects of economy and environmental protection,and determine the supply-side energy allocation scheme under the optimization objective,so as to meet the energy demand of the demand-side.