微電網(wǎng)的能量優(yōu)化與協(xié)調(diào)控制研究
[Abstract]:As a new generation system, microgrid has been popularized because of its high energy efficiency, low feeder loss and high power supply reliability. The development and innovation of microgrid technology has been listed as an important part of smart grid construction. As an important part of microgrid technology, the energy management and optimal operation of micro-grid system plays an irreplaceable role in improving the security, reliability and economic operation of micro-grid system. The micro-grid system for renewable energy is a typical hybrid power generation system with dynamic characteristics. Its energy management and optimization is also a large-scale, dynamic, multi-constraint and multi-time scale complex problem. In this paper, the energy optimization and coordinated control strategy of autonomous microgrid system is studied. Based on the characteristics of distributed generation system in microgrid system, the energy output model of each distributed generation unit is established. Then the energy management system is modeled based on the research objectives, and the energy optimization and dispatching methods of the microgrid are studied on the basis of the model. Finally, the energy management system model is preliminarily verified on the JADE platform. The main work of this paper is summarized as follows: (1) taking the micro-grid system composed of wind, light, firewood and storage as the research object, the structure and components of the system are analyzed, and each of the distributed generation units such as wind power generation is analyzed. The operating characteristics and important parameters of photovoltaic power generation, diesel engine and battery, and the energy management model of output power of each unit are established. (2) according to the characteristics of microgrid system for renewable energy, The modeling method based on Agent technology is proposed to model the energy management system of microgrid. The micro model of unit node mapping to Agent and the macro model of MAS system with bottom-up organization are established. (3) for autonomous microgrid system, based on the idea of time and multi-level coordination, a multi-time scale coordinated optimization and scheduling plan is proposed, which is composed of pre-day plan, modified plan and real-time scheduling. Then, the implementation strategy and optimization model of three stages are worked out respectively. Finally, an autonomous wind and firewood storage micro-grid system in a certain district is taken as an example. Genetic algorithm is used to solve and verify the optimization model in dispatching plan. (4) combining the characteristics of microgrid and the MAS architecture proposed in chapter 3, the MAS platform of the energy management system of microgrid is established in JADE. According to the behavior design principle of Agent in JADE, the behavior of Agent in MAS is designed, and the interaction between Agent is realized by taking the real-time operation of microgrid at a certain time as an example. The process of energy scheduling and coordinated control using battery Agent in operation of each Agent is simulated. This paper is supported by the National Natural Science Foundation of China-distributed Renewable Energy Technology based on High Frequency AC Technology (51177050).
【學(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM727
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