Research On Optimal Control Strategy Of Micro Grid Based On Multi-objective

In recent years,the relationship between energy and the environment has become increasingly tense.Fossilized and non-renewable fossil fuels have gradually been replaced by pollution-free clean energy.With the development of economy and advancement of science and technology,traditional power generation methods can no longer meet human needs in production and life.Taking into account the requirements of economy and environmental protection,the micro-grid system uses a large amount of clean energy to greatly reduce environmental pollution.In order to operate the microgrid system under better conditions,the optimal control of each power unit in the microgrid has always been a research hotspot in the scientific community.This thesis will study the optimization control problems of each component in the system.Microgrid optimization scheduling is to adjust the distributed power supply operation status to make it work cooperatively and improve its economical efficiency and reliability.Therefore,research on optimization scheduling problem has high engineering value.This thesis introduces the mathematical model and operating characteristics of each output unit of the system in detail.In the control strategy of energy storage device,fuzzy control is adopted to maximize the energy storage device.The life expectancy proposed an objective function of maximizing environmental protection and economy,established specific constraints for different models,and formulated control strategies for the system under different modes.The main work of this thesis is as follows:1.Establish a microgrid model consisting of solar cells,wind motors,gas turbines,diesel generators,fuel cells,and energy storage cells.Explain the operation principle,mathematical model and operating characteristics of each power generation unit,and the power balance conditions that are satisfied during the operation of each unit.According to the operating characteristics of different units,the cost function of each unit is obtained.2.At the same time,establish a model of the energy storage unit and establish a fuzzy control strategy table.The real-time working status of the energy storage unit is related to the real-time operating status,the battery SOC index,the battery SOC index,and the power demand in the power grid.At the same time,each unit’s power generation cost is established.The fitness function of maximizing the overall cost of the environmental cost and the microgrid operation establishes the constraints of the power balance of the microgrid when it runs,the power constraints of the output of the distributed power generation unit,and the power exchange constraints of the microgrid and the large power grid.3.Three control strategies are proposed to consider the real-time electricity price situation and the power exchange between the system and the large grid.Chaos simulated annealing particle swarm optimization algorithm is used to optimize the output states of each unit combination,The verification results achieved by the control strategy 3 are better,observe the battery output situation and the convergence of the algorithm,and prove the feasibility of the control strategy and algorithm optimization.4.We use the autoregressive moving average model to describe the uncontrollable micro-power fluctuations.We use Latin hypercube sampling to generate the scenes.We use the Euclidean distance to reduce the uncertainty of each unit,and in the grid-connected model Simulate under the control strategy,It is concluded that the control strategy 3 is strong against random fluctuations.