Research On Optimization Strategy Of Multi-energy Complementary Microgrid

In order to mitigate the extreme climate harm brought by global warming,more and more countries take carbon neutrality as an important part of their climate actions.In this context,the energy Internet featuring low-carbon transition,multi-energy complementary and information integration is an important technical means for carbon neutrality actions.The multi-energy complementary system involved in the energy Internet has the problem of absorption scheduling,in which the energy storage capacity will have a direct impact on the system planning and scheduling scheme within a unit cycle,and thus affect the system performance.In order to solve the system scheduling strategy and the influence of energy storage on the energy supply instability in the multi-energy complementary micro-grid system,a two-stage system operation optimization method is established,which takes energy storage optimization scheduling as the upper optimization model and maximizes the operation benefit of the multienergy complementary system as the lower model.The main work is as follows:(1)The structure and operation principle of multi-energy complementary system with different energy storage are analyzed,and the main equipment in the system is analyzed theoretically,and the corresponding modeling of each part is carried out.The running state of cogeneration unit is analyzed for the electric multienergy complementary system,and the process of additional heat sources including heat pump,electric boiler and thermal energy storage participating in the system optimization is studied in detail.In addition,the reliability evaluation theory is introduced,and the operation and fault state of energy storage equipment in the multi-energy complementary energy system are analyzed.The reliability evaluation method for energy storage is established,and the reliability characteristics of energy storage equipment are studied from multiple perspectives.(2)A two-layer optimization model for the multi-energy complementary system is established,and an improved chaotic niche particle swarm optimization algorithm is adopted to optimize the scheduling of the multi-energy system.The upper programming model is optimized to analyze the energy storage capacity and power allocation;Based on the optimization results of the upper layer,the lower layer optimization model determines the configuration of the multi-energy system with the goal of minimizing the total operation cost.The optimization results output the optimal configuration scheme of the output of each part of the system.The perturbation idea is added to the particle swarm optimization algorithm,and the local optimization problem in the process of multi-extremum optimization is avoided by using the niches and chaos theory.The effectiveness of the algorithm is analyzed by using the test function.The results show that the improved algorithm has higher optimization efficiency and optimization effect,and the method has stronger applicability to the optimization problem of multi-energy complementary systems.(3)Finally,the electrothermal multi-energy complementary system is used for example analysis to verify the optimization model,and the improved chaotic niche particle swarm optimization algorithm is used to solve it.The optimization simulation analysis is carried out for different energy storage configuration schemes and typical scenarios under different loads.The results show that the optimal configuration scheme has more reliability indicators,and considering the system energy storage configuration,energy storage plays an obvious role in regulating the wind absorption,and all micro sources in the multi-energy system are in stable running state,which shows the practicability of the optimization method,and has important significance for the gridconnected multi-energy system with heat storage.