| With the depletion of coal energy,expanding the development and utilization of renewable energy has become the only way to solve the energy shortage.At present,the development technology of wind energy and solar energy is relatively mature,but there are also some shortcomings.With its advantages of flexibility and strong integration ability,microgrid has opened up a new path for the development and utilization of renewable energy,and the application of energy storage technology has made great contributions to alleviating the problem of renewable energy.Since the service life of energy storage is shorter than that of other equipment,which greatly restricts the overall economy of microgrids,how to reasonably allocate the capacity of wind and solar storage is particularly important.In this paper,one-hundred-percent green energy is used as the power supply source of the microgrid,and the microgrid containing new energy distributed generation and energy storage is taken as the research object to carry out the analysis and research of microgrid capacity optimization configuration,the specific work is as follows:(1)The background and significance of the topic selection are expounded,and the microgrid including wind power generation system,solar panel power generation system and energy storage system is established,and the existing problems and research methods of microgrid and energy storage life estimation are introduced.In order to study the influence of different power combinations on the economy of microgrid,a nonlinear programming model of the whole life cycle microgrid with equal annual value cost as the objective function is constructed,the equipment constraints are set,and the energy dispatching strategy of wind-solar storage microgrid is clarified.Simulation proves the advantages of wind-solar complementarity and the importance of energy storage in microgrids.(2)Aiming at the problem of low solvency of artificial intelligence algorithm,this paper uses the adaptive butterfly optimization algorithm of infinite folding iterative chaotic mapping to solve the model,dynamically processes the switching probability p and perceived morphology c of the standard butterfly optimization algorithm to enhance the solution accuracy of the standard butterfly optimization algorithm,and finally simulates and compares the adaptive butterfly optimization algorithm with particle swarm optimization and standard butterfly algorithm by infinite folding iterative chaos mapping.The effectiveness and rationality of the adaptive butterfly optimization algorithm of infinite folded iterative chaotic mapping in solving nonlinear problems are verified.(3)Aiming at the problem that the actual service life of energy storage system is difficult to predict,this paper expounds the reasons for the life loss of energy storage system from three aspects:temperature,discharge rate and discharge depth,establishes a multi-factor aggregation energy storage life estimation model,and proposes a multi-scenario coordinated optimization method for microgrid considering multi-factor aggregation energy storage life.The life loss of the energy storage system is quantified through the investment replacement cost,and the energy storage charge and discharge control strategy is formulated,which takes into account the problems of investment construction,operation scheduling and equipment service life loss in the configuration of the microgrid.Finally,taking the equal annual value investment cost,operation and maintenance cost,power purchase cost and energy storage replacement cost as the objective function,a two-layer optimal configuration model of microgrid is established.The simulation shows that considering the energy storage life loss and charge and discharge control strategy can effectively reduce the economic cost of the system and reasonably extend the use time of energy storage. |
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