Multi-Objective Optimal Scheduling For Microgrid With High Proportion Clean Energy

With the change of global energy structure and the development of distributed power supply technology,the power generation system dominated by wind,solar and other clean energy takes an increasing proportion in microgrid.However,the high proportion of wind and photovoltaic power supply connected to the microgrid system introduces more uncertain factors,which brings challenges to the optimal scheduling of the power grid.How to optimize the output of each unit in the microgrid to improve the absorption rate of clean energy has become a key issue in the optimization operation of the microgrid.In the research of microgrid optimization,permeability and absorption rate have always been two important indicators of optimal scheduling.However,most of the existing researches are conducted solely on permeability or absorption rate,and few combine the two.In view of the close relationship and interaction between the permeability and absorption rate of clean energy,this paper conducted a comparative study on the day-ahead optimal scheduling strategies of micro-grid under different permeability and different capacity expansion modes,and deeply explored the operation strategies to improve the absorption level of landscape and the comprehensive benefits of micro-grid under the scenario of a high proportion of clean energy access.The main contents of this article include:Firstly,the working principle of wind turbines,photovoltaic and diesel engine is expounded,and the corresponding mathematical model is established according to their respective working characteristics.According to the technical principle of energy storage system,various existing energy storage devices are classified and introduced,and the charge and discharge model of energy storage is established.Based on the time-varying and fluctuating characteristics of load,the integrated time-varying model and time-varying characteristic model are used to model the load.Then,taking typical wind-wind-firewood storage microgrid as the research object,a high-proportion clean energy microgrid model is established considering the system economy,environmental performance and various constraints.A multi-objective optimal scheduling strategy was proposed to minimize the comprehensive operation efficiency of the system,and the corresponding scheduling program was compiled.The weight coefficient method was used to transform the multi-objective optimization problem into a single objective optimization problem,and the particle swarm optimization algorithm was used to solve the scheduling model to form a day-ahead scheduling scheme.The convergence reliability of the algorithm and the correctness and rationality of the scheduling scheme are verified by an example.Finally,based on different permeability scenarios,the influences of clean energy permeability on economic and technical characteristics and clean energy consumption rate of microgrid under different capacity expansion modes are compared.The research shows that it is important to determine the permeability threshold for microgrid operation,and increasing the permeability of clean energy within the critical value can effectively improve the comprehensive operation efficiency of microgrid.The wind-landscape joint capacity expansion mode can take into account economic and environmental objectives,improve the consumption level of clean energy,and realize the collaborative optimization of the penetration and consumption rate of clean energy.