Research On Coordinated Control Strategy Of Wind-solar-fuel-storage Microgrid Based On Improved Fruit Fly Algorithm

In order to alleviate the increasingly prominent energy shortage problem,microgrids based on clean energy have been widely researched and applied.The microgrid composed of a variety of distributed power sources has the characteristics of diversified power supply,diversified control and variable load.The PI parameters in closed-loop control are difficult to follow the changes of the system,which affects the output quality of the inverter.Therefore,it is of great significance to study the coordinated control strategy of multi-micro-source power grid to realize the economic,intelligent,safe and reliable operation of micro-grid.In this paper,by analyzing the mathematical models and operating characteristics of wind power generation,photovoltaic power generation,supercapacitors,fuel cells,and gas turbines,a coordinated control strategy for wind-solar-fuel-storage microgrids based on improved fruit fly algorithm is proposed.Verify the effectiveness of the strategy proposed in this paper.The main work of this paper includes the following aspects:(1)Design of coordinated control strategy for microgrid based on wind-solar fuel storage.By analyzing the requirements of the coordinated control of the microgrid,a two-layer coordinated control strategy model of wind-solar-fuel storage is established.In the dispatching layer,the optimal dispatching of the microgrid aiming at economy and environment is proposed,and in the control layer,the output quality of the inverter is proposed as the target control strategy.(2)Research on optimal droop control and PQ control strategies for multi-strategy adaptive Fruit Fly based population partitioning.In order to solve the problem of unbalanced inverter output caused by different PI parameters,an optimization mechanism of population partitioning is proposed.And a multi-strategy update mode is designed according to the characteristics of the partition: the local fine search in the I area ensures that the population does not degenerate,the II area adaptively adjusts the diversity and convergence of the algorithm according to the environment where the algorithm is located,and the III area guides the algorithm to accelerate the convergence.The adaptive adjustment method of population average individual increment is introduced to solve the problem that the inverter output cannot be improved when the algorithm stagnates.(3)Research on optimal scheduling strategy of microgrid based on multi-modal and multi-objective fruit fly optimization.In order to unify the decision space of unit output and the target space of economy and environment,a calculation method of special crowding distance is proposed.Combined with multi-dimensional evaluation indicators and an adaptive strategy based on the contribution of external libraries,the rapid convergence of the optimal scheduling model of microgrid is realized.The multi-dimensional evaluation index makes the economic and environmental goals of the microgrid evenly distributed on the Pareto frontier.(4)Microgrid experimental platform and application analysis.The wind-solar-fuel-storage microgrid coordinated control strategy based on the improved fruit fly algorithm optimization proposed in this paper is tested on the experimental platform.Through practical case analysis,the coordinated control strategy proposed in this paper has good applicability and can provide key technical support for the development of microgrid.The paper has 85 pictures,16 tables,and 91 references.