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Research On Optimal Scheduling Of Grid-connected Multi-microgrid

Posted on:2021-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:H M WangFull Text:PDF
GTID:2392330611965411Subject:Electrical engineering
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With the development of microgrid technology,the interconnection of microgrids in neighboring areas will become an important direction for the development of microgrids in the future.Carrying out energy coordination and optimal scheduling research in the form of multi-microgrid has become the focus of current research.Different from the single microgrid optimal scheduling,the main body of each sub-microgrid in the multi-microgrid is different,and the operation targets of each sub-microgrid are different from those of the multi-microgrid operator.The short-term power and load forecast values deviate from the actual operating values.Therefore,the day-ahead optimal scheduling results based on the short-term forecast values deviate greatly from the actual operating conditions.In this context,the traditional microgrid optimal scheduling model that only considers single subject or single-time scale does not match energy development demand in the future.In order to take into account the interests of multiple parties in the grid-connected multi-microgrid system,and improve its operational feasibility and the enthusiasm of each participant,it is of great significance to study the multi-microgrid collaborative optimal scheduling method in the power market environment.In this regard,this paper has carried out research on the multi-time scale and double-layer collaborative optimal scheduling of grid-connected multi-microgrid,the main contents of which are as follows:1.Summarize the current research status of micro-grid optimal dispatching at home and abroad,and the research status of grid-connected multi-microgrid.2.Introduce and analyze the characteristics of the multi-microgrid and the "source-load-storage" unit in the multi-microgrid system.Describe the typical topology and communication architecture of the grid-connected multi-microgrid system,and introduce the basic components;the multi-microgrid is divided into three types: smart community type,industrial park type,and remote area type,and the characteristics of its power source and load are analyzed;further more a mathematical model of the "source-load-storage" unit in the multi-microgrid is established to describe its operating characteristics,constraints to be met,and the calculation method of scheduling cost,which laid the foundation for the establishment of a multi-microgrid collaborative optimization model in subsequent chapters.The involved “source-load-storage” units include wind turbine generation,photovoltaic power generation,electric vehicle charging and discharging systems,energy storage systems,micro gas turbines and power loads.3.The multi-microgrid multi-time scale collaborative optimization problem is analyzed,and the multi-time scale double-layer optimal scheduling model of the smart community multi-microgrid system is established: the previous double-layer joint optimization model includes the community multi-microgrid operator layer and autonomous region layer.The upper layer aims at maximizing the benefits and minimizing the environmental costs of multi-microgrid operator.By converting the sewage cost into an economic index and making weighted summation with other economic index of the smart community multi-microgrid operator,the multi-objective problem is transformed into a single-objective problem.The lower layer aims at minimizing the operating cost of the autonomous region,including the transaction cost with the community multi-microgrid operator and the scheduling cost of the controllable unit in the autonomous region.Next,the model solution algorithm and solution process are introduced,including the day-ahead optimal scheduling method based on the target cascade method and the intra-day rolling optimization solution method based on model predictive control.4.The target cascade method is used to solve the day-ahead double-layer joint optimization model,and the algorithm principle and solution process are introduced.For the intra-day autonomous region rolling optimization model,the algorithm principle and solution process of the model predictive control method are introduced.The target cascade method and model predictive control method are jointly used to solve the multi-time scale hierarchical collaborative optimization model of grid-connected multi-microgrid system,and a community multi-microgrid system is used as an example for simulation analysis.Finally,the optimal scheduling results are calculated by simulation,and the rationality of scheduling results and the convergence and effectiveness of the algorithm are verified.
Keywords/Search Tags:grid-connected multi-microgrid, multiple time scale, collaborative optimization, analysis target cascading method, model prediction control
PDF Full Text Request
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