微电网的能量优化与协调控制研究
发布时间：2018-08-07 09:53
【摘要】：作为一种新型发电系统，微电网因其能源利用率高、馈线损耗少和供电可靠性高等优点被推广，发展和创新微电网技术也已被列为智能电网建设的重要部分。而微电网系统的能量管理与优化运行作为微电网技术的重要组成部分，对于提高微电网系统的安全、可靠、经济运行有着不可替代的重要作用，具有重要的研究意义。 面向可再生能源的微电网系统是一个典型的具有动态特性的混合发电系统，其能量管理与优化也是一个大规模、动态性、多约束和多时间尺度的复杂问题。本文主要针对自治运行的微电网系统的能量优化与协调控制策略进行了研究，从微电网系统中的分布式发电系统的运行特性出发，建立了每个分布式发电单元的能量输出模型，然后结合研究目标对能量管理系统进行了建模，在建立模型的基础上又深入研究了微电网的能量优化与调度方法，最后在JADE平台上对能量管理系统模型进行了初步验证。本文主要研究工作总结如下： （1）以风、光、柴、蓄构成的微电网系统为研究对象，，分析了它的结构体系与组成部分，分析了其中每个分布式发电单元如风光发电、光伏发电、柴油机、蓄电池的运行特性和重要参数，并建立了各单元输出功率的能量管理模型； （2）根据面向可再生能源的微电网系统的特点，提出基于Agent技术的建模方式为微电网的能量管理系统建模，建立了将机组节点映射为Agent的微观模型和具有自底向上组织的MAS体系的宏观模型； （3）针对自治运行的微电网系统，基于时间维和多级协调的思想，提出了一种由日前计划、修正计划和实时调度的组成的多时间尺度协调的优化与调度计划，然后分别制定了三个阶段的实施策略及优化模型，最后以某小区内一个自治运行的风光柴蓄微电网系统为算例，用遗传算法对调度计划中的优化模型进行了求解和验证。 （4）结合微电网的特性与第三章提出的MAS体系，在JADE中建立了微电网能量管理系统的MAS平台。遵循JADE中Agent的行为设计原则，对MAS中的Agent进行了行为的设计；以微电网在某时刻的实时运行情况为例，实现了Agent之间的交互，模拟了各Agent在运行中利用蓄电池Agent进行能量调度和协调控制的过程。 本文研究受国家自然科学基金项目---基于高频交流技术的分布式可再生能源技术研究(51177050)资助。
[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).
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM727
本文编号：2169654
[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).
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM727
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