Study On System Of Systems Architecture Model And Energy Cooperative Optimization Management Of Multi-microgrid Systems

As a large number of microgrids containing high-permeability renewable energy are connected to the power distribution network,multiple adjacent microgrid clusters in a certain area are bound to form a multi-microgrids system.The capacity of renewable energy consumption and management can be effectively improved by optimizing the operation of the sub-microgrid clusters in the multi-microgrids.However,the optimization problem of multi-microgrids is larger and more complicated than single microgrid.It is one of the difficult problems to effectively manage the operation of multi-microgrids in the research of multi-microgrids.System of systems method(SoS)is introduced to study the coordinated and optimized energy management of multi-microgrids in this thesis.This is a new idea for studying the energy management of multi-microgrids.First,the energy management model and contribution evaluation of multi-microgrids under the SoS architecture are proposed.These models can realize the effective management collaborative optimization of multi-microgrids.The feasibility of introducing the SoS to study the collaborative optimization operation of multi-microgrids is verified.Then,based on this,energy management model of multi-microgrids under the SoS dynamic framework is established.A method of dynamic link behavior analysis of multi-microgrids is proposed.The impact of day-ahead dynamic linking behaviors for different microgrid to multi-microgrids operation optimization can be quantitatively analyzed by this method.Finally,the impact of real-time dynamic linking behavior and fault events on the operation of multi-microgrids is considered.A multi-time scale adaptive optimization scheduling strategy of multi-microgrids based on the SoS dynamic architecture is proposed.This strategy realizes the adaptive adjustment of multi-microgrids through dispatching objectives to reduce the impact of real-time dynamic linking behavior and fault events on collaborative optimization operations.The main research contents of this thesis are as follows:Firstly,the SoS method is introduced into the research of energy management for multi-microgrids.Because the characteristics of SoS and the characteristics presented by the multi-microgrids are very suitable,the SoS architecture of multi-microgrids and a two-layer energy management model of the multi-microgrids considering uncertainty of the source-load are bulit.Contribution evaluation model of the emergence function is established.The two-layer energy management model is solved by combining the column and constraint generation(CC&G)algorithm.The sub-microgrid scheduling plan and the minimum operating cost of the multi-microgrids are obtained.The income of the emergence based on the minimum operating cost of multi-microgrids can be gained.Emerging revenue is distributed to each sub-microgrid by the shapely value method.Finally,the actual operating cost of each sub-microgrid and the contribution of each sub-microgrid to the emergence function are obtained.The analysis of a numerical example verifies that the model not only achieves the minimum overall operating cost of the multi-microgrids,but also ensures the independence and privacy protection of each sub-microgrid.The results of contribution evaluation can provide a reference for the operation manager to build a SoS architecture of multi-microgrids to achieve optimal operation.Secondly,the impact of the day-ahead dynamic linking behavior that the sub-microgrid access and exit from the multi-microgrids on the optimization of the operation of the multi-microgrids needs to be quantitatively analyzed.The SoS architecture of multi-microgrids is constructed and dynamic transaction link matrix is obtained on the basis of verifying the feasibility of SoS application to collaborative optimization of multi-microgrids.Based on this,energy management of multi-microgrids and contribution evaluation model considering dynamic link behavior are established.Analysis method of dynamic link behavior for multi-microgrids is proposed.This method can quantitatively analyze the impact of different dynamic linking behaviors on collaborative optimization of multi-microgrids.Finally,the alternating direction multiplier method and non-equilibrium Nash bargaining method are used to solve the model.Through the analysis of the example,the scheduling scheme with the largest and smallest impact on the collaborative optimization operation of multi-microgrids under requirements of different day-ahead dynamic linking behavior can be obtained.Operator of multi-microgrids can select the least influencing scheduling scheme as far as possible for different dynamic link behaviors,and avoid selecting the most influencing scheduling scheme.This can improve the overall economic benefits of multi-microgrids under day-ahead dynamic linking behavior.Finally,based on the quantitative analysis of the impact of the dynamic linking behavior on the optimal operation of multi-microgrids,the impact of the real-time dynamic linking behavior that sub-microgrids unplanned access to or exit from multi-microgrids or the operating conditions of power generation equipment or line failures of multi-microgrids is further analyzed.Combined with the model predictive control method,the adaptive scheduling strategy of multi-microgrids with multiple time scales based on the SoS architecture is proposed.The goal of the day-ahead scheduling model is minimum operating cost of multi-microgrids.The day-ahead output plan of energy storage and translatable load of each sub-microgrid can be obtained by this model.Real-time rolling optimization can track the day-ahead scheduling plan and realize real-time energy optimization of multi-microgrids,and adaptively adjust the scheduling goals to reduce the impact of real-time dynamic dynamic link behavior and fault events on multi-microgrids collaborative optimization.The alternating direction multiplier method and CPLEX are used to solve the model.The analysis results of numerical examples show that the proposed method can adaptively respond to real-time dynamic link behavior and fault events,and improve the system security and economic toughness of multi-microgrids.