计及随机性的微电网能量优化管理研究

发布时间：2018-02-25 04:11

本文关键词： 微电网随机性能量管理多时间尺度鲁棒优化　出处：《东南大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着全球经济发展,能源危机和环境问题日益凸显。微电网作为清洁可再生能源接入电网的有效形式,且凭借其在分布式电源和大电网之间的重要协调控制作用,受到了广泛关注。微电网能量优化管理是保证微电网在安全稳定运行的前提下实现系统运行经济性、环保性、能源利用率等目标最优的重要手段。目前微电网能量管理面临的最大问题即在于可再生能源出力受自然条件影响具有间歇性和波动性的特点,而目前的预测方法精度仍然较低,其随机性会对系统经济稳定运行带来不利影响。因此,本文针对计及随机性的微电网能量优化管理开展了以下研究工作：首先,建立了光伏发电、燃料电池、储能和负荷的能量管理模型,作为微电网系统能量管理模型的基础。接着,从可再生能源随机性对调度精度和系统鲁棒性的影响两方面考虑,提出了两种应对随机性的能量管理方法：一是改进多时间尺度能量管理方法。考虑到可再生能源预测精度随时间尺度减小而提高,且不同时间尺度能量管理间具有强耦合关系,在常规多时间尺度能量管理框架的基础上,提出了改进模型及其协调控制策略,通过一系列改进措施,实现对微电网能量管理的逐级细化、快速优化求解以及全局和局部优化特征的协调。并通过算例验证了该方法应对可再生能源随机性具有精度高、求解速度快、充分协调各时间尺度优化等特点。二是基于鲁棒优化的能量管理方法。为了弱化对可再生能源出力预测精度的依赖性,提高系统面对较大扰动时的鲁棒性,基于鲁棒优化理论建立了考虑可再生能源出力随机性的微电网两阶段自适应鲁棒优化模型,包括解的鲁棒性可控的不确定量描述方法和两阶段自适应鲁棒优化模型目标函数及约束条件,采用了column-and-constraint迭代方法进行求解,并通过算例分析了不同不确定预算情况下系统经济性的变化,验证了该方法应对可再生能源随机性相较于相同时间尺度的确定性优化具有更强的鲁棒性。最后,从能量管理系统功能、软件架构、数据词典等方面展开了能量管理系统设计研究,并针对含光伏发电、风力发电、混合储能及负荷的微电网试验系统,进行了各功能模块的开发应用,实现了微电网的实时运行监控和能量管理等功能。
[Abstract]:With the development of the global economy, the energy crisis and environmental problems are becoming more and more prominent. As an effective form of clean and renewable energy access to the grid, microgrid has important coordination and control role between distributed generation and large power grid. The optimization management of microgrid energy is to ensure the system operation economy and environmental protection under the premise of safe and stable operation. At present, the biggest problem of energy management in microgrid is that the renewable energy output is intermittent and fluctuating under the influence of natural conditions, but the accuracy of the current prediction method is still low. The randomness of the system will have a negative impact on the stable operation of the system economy. Therefore, the following research work has been carried out in this paper: firstly, the photovoltaic power generation, fuel cell, photovoltaic power generation and fuel cell are established. The energy management model of energy storage and load, as the basis of energy management model of microgrid system, is considered from two aspects: the impact of randomness of renewable energy on dispatching accuracy and system robustness. Two energy management methods to deal with randomness are proposed: one is to improve the multi-time scale energy management method, considering that the prediction accuracy of renewable energy increases with the decrease of time scale, and there is a strong coupling relationship between different time scale energy management. Based on the conventional multi-time scale energy management framework, the improved model and its coordinated control strategy are proposed. Through a series of improvement measures, the micro-grid energy management can be refined step by step. The fast optimization solution and the coordination of global and local optimization features are proved to be accurate and fast in dealing with the randomness of renewable energy. Secondly, the energy management method based on robust optimization. In order to reduce the dependence on the prediction accuracy of renewable energy sources and improve the robustness of the system in the face of large disturbances, Based on robust optimization theory, a two-stage adaptive robust optimization model for microgrid considering the randomness of renewable energy output is established. It includes the uncertainty description method with controllable robustness and the objective function and constraint conditions of the two-stage adaptive robust optimization model. The column-and-constraint iterative method is used to solve the problem. An example is given to analyze the change of system economy under different uncertain budget conditions. It is proved that the proposed method is more robust than deterministic optimization of the same time scale in dealing with the randomness of renewable energy. The design and research of energy management system are carried out from the aspects of energy management system function, software architecture, data dictionary and so on, and the microgrid test system including photovoltaic power generation, wind power generation, hybrid energy storage and load is designed. The function modules are developed and applied to realize the real-time operation monitoring and energy management of microgrid.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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