| The globally rapid development of the smart grid has significantly enhanced the adoption of the various distributed energy sources as well as new types of loads such as electric vehicles (EVs). With the characteristics of supporting distributed energy sources, storages and loads, the micro grid (MG) has become an effective solution in improving the grid operation and revealing the trend of source-storage-load integration. Meanwhile, the massive adoption of the EVs, with their complex and stochastic operation characteristics as well as the concentrating electric energy demand, shall be of the nonnegligible impact to the operation of the micro grid as well as the smart grid. Considering the physical structure and system complexity of the micro grid with the massive adoption of the EVs, the effective modeling and simulation methodology to study its operation mechanism as well as the EVs'[ impact is desiderated. Therefore, this paper studies the agent-based modeling method and simulation system of the micro grid with the orientation of massive EVs' adoption, and the main innovating works are as follows:1. Considering the massive adoption of the EVs and the trend of source-storage-load integration in the micro grid, the complex system characteristics of the source-storage-load micro grid with the adoption of the EVs are comprehensively discussed, and the complex adaptive system theory is adopted to analyze them. Furthermore, this paper elaborates the feasibility of the complex adaptive system theory and agent-based modeling methodology in achieving the study of the EV and micro grid modeling as well as simulation in detail. The agent structure for the EV and micro grid is proposed and its method of construction is designed.2. Oriented at the challenges to the modeling precision and effectiveness brought by the massive EVs adoption, the EV agent model is constructed based on the complex adaptive system theory for reflecting the EV operation states and key properties variation while realizing the effective simulation of the massive EVs adoption in the grid, and the EV's impact to the grid, EV owner and service facility is studied.3. Focused on the present modeling methodologies' deficiencies in fidelity and flexibility, the control structure, energy model and the interaction mechanism for the source-storage-load micro grid is analyzed. The agent models of the micro grid distributed energy sources, storage devices, loads as well as control center are proposed based on the agent-based modeling methodology. Moreover, the source-storage-load micro grid agent model is constructed to study its operation mechanism as well as the control strategy in depth.4. In order to disco ver and comprehend the new problems and phenomenon with the joint operation of the EVs and micro grid, and to comprehensively analyze the operation mechanism of the EVs adoption in the micro grid, this paper constructs the EV-micro-grid joint operation simulation system based on the proposed EV and micro grid agent model. Meanwhile, based on the object-oriented programming method and the extendability of the agent model, the EV-micro-grid joint operation simulation system is developed with its multiple modules being implemented, providing support for the validation and study of the operation of the micro grid with the EVs.5. Aiming at the key problems related to the EV-micro-grid joint operation in multiple scales, the proposed agent model is adopted to construct the corresponding example scenes, and the proposed simulation system is utilized to carry out the simulation experiments. Moreover, the key scenes of the solar EV charging station, the impact of the EV to the micro grid as well as its scheduling methods' effects, and the greenhouse gas (GHG) emission reduction potential of the EV are constructed, simulated and thoroughly analyzed, verifying the proposed model and simulation system's effectiveness in multiple scale EV adopted micro grid assessment. |
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