| The shortage of energy and the pressure of environmental protection have rapidly led to the development of distributed generation(DG)and microgrid(MG)technology.The integration of renewable energy source(RES)and MG into grid has a positive impact on improving the utilization of clean energy and environmental protection.However,the uncertainty of RES and the diversity of investors have led the challenges to the reliability and economic benefits of distribution network(DN).Based on it,the thesis conducts research from the following three aspects:(1)The output characteristics of DG and energy storage are analyzed in detail.Mathematical models of the output power of photovoltaic cell,wind turbine,and energy storage battery pack are established respectively as well.Given environmental factors,a unified method to solve the real-time output power of DG is proposed.The relevant factors affecting the output power and the computing method of life of energy storage are also explored,which lay the foundation for subsequent research on capacity planning of MG and DG.(2)In view of the grid-connected microgrid including wind turbine,photovoltaic and battery energy storage,a mixed integer linear optimization model is established.Based on the benefits of investors,this optimization model takes equipment costs and operating income as economic target,and the reliability constraint of MG during external fault is also considered.Then,an improved particle swarm algorithm is used to solve the model.The actual environmental data of a certain place is taken as a study case,and the validity of the proposed model and algorithm is verified.The configuration results of different economic patterns and operation modes are also compared comprehensively with the case study which shows that the obtained results are accurate.(3)According to the planning of DGs and MGs belonging to different operators accessing to DN,a multi-objective joint optimization configuration method is proposed that takes the benefits of multi-stakeholders into account.The target of DN operation is to improve the operation economy and ensure power quality of the system,and the economic benefits of DG operators and MG operators are used to build the joint optimization model.The installed capacities and access locations of distributed generations,and the interaction powers and configurations of microgrids are selected as the decision variables.A mathematical programming solver combined with the improved multi-objective particle swarm algorithm is used to solve the joint optimization model.The effectiveness of the model and algorithm in this thesis are verified by the case study. |