The development and utilization of renewable energy has a great of significance and value to the energy conservation and low-carbon green theme in the modern society. In the power system, the widely using of distributed generation technologies is just benefited by its extensive applying of natural resources and then generat clean power energy. Appearing of microgrid technology makes the advantages of distributed generation maximized. Microgrid is the future mainly development direction of the power grid. However, because of which contain various types of distributed energy, energy storage and loads, it has made the coordinatedlly and stability control among the various micro power energy become a difficult problem. To this end, this paper presents the study of coordinated switching control of multi-modal and energy management strategy based multi-agent in the microgrid, aimed at ensuring that the system is running in secure stability of the efficient and economical manner.Firstly, design the hierarchical control structure of microgrid based on the MAS, which are the upper coordinated layer and the lower executive layer respectively. In terms of coordinated control, detect the voltage and frequency index of microgrid bus real-time by using of wide area measurement system, and set the threshold value of operating security. The model of each agent in the executive layer is modeled by the Fuzzy Petri Net theory. The coordinated layer agent makes up multi-modal coordinated switching control commands based on the criterion of voltage security index, and through the communication technology of agent transport to the lower layer agent, then contact the trigger conditions of the various micro power source modes in the FPN models, switch the corresponding operating mode, in order to ensure uninterrupted power supply to the critical loads. In addition, design of the control method to track load power and the control variable of accessing to microgrid system for the agent of lower layer; then, taking into account the case of weak communication in the agent, the control commands can not be delivered to the appropriate unit, design of a switch mode method by using the grading voltage approach. On the ascept of energy management of energy storage unit, using fuzzy deductive reasoning mechanisms to updated the agent knowledge base for responding to environmental change; and finally, through MATLAB and JADE makes a simulation to a typical microgrid system which consists of a variety of distributed energy. To be improved the control strategy is effective and stable facing on the complex environment. |