基于在线优化的用户侧微电网能量管理方法

发布时间：2018-06-22 20:37

本文选题：在线优化 + 微电网　；参考：《华北电力大学(北京)》2017年硕士论文

【摘要】：由于政策激励、峰谷电价以及环境污染等因素的影响,用户侧逐步实现了可再生能源发电设备与储能设备的规模化接入,形成了以综合开发需求侧资源为核心的用户侧微电网。然而目前相关的研究工作中对用户需求的关注度不够,且适用于用户侧微电网的在线能量管理研究仍存在不足。因此,研究用户侧微电网的在线能量管理方法具有重要意义。本文首先介绍了用户侧微电网能量管理与互联运行的国内外发展现状,并对现有研究工作的不足进行了简要总结。针对用户侧微电网的能量管理需求与应用特点,简要概述了在线优化的理论基础及其应用情况,并详细论述了李雅普诺夫优化的基本原理、应用特点、优化性能及适用范围。总结了在线优化算法的评价指标、关键特征与目前存在的难点问题。其次,针对单个用户侧微电网,提出了一种在线能量管理方法,以降低用户的用电成本。基于李雅普诺夫优化理论,构建可控负荷队列,将能量管理问题转化为每个时刻的线性规划问题。基于非预测机制,只需获取在线信息即可对可控负荷进行实时调控。采用事件触发机制触发在线算法执行,有效地减少了执行频率和计算量。仿真算例验证了该方法在保证微电网用户用电舒适度的同时,有效地提高了用电经济性,并分析了模型参数对优化性能的影响。最后,针对用户侧微电网群,提出了一种在线能量共享方法,以提高微电网群的自给自足能力,促进可再生能源的就地消纳。基于李雅普诺夫优化理论,构建虚拟储能队列,将能量共享问题转化为每个时刻的线性规划问题,只需获取当下时刻的信息即可对微电网之间的交换电量做出实时决策。仿真算例验证了该方法在满足微电网用户负荷需求的同时,有效地提高了可再生能源在用户侧微电网群中的消纳,并分析了微电网的配置参数对优化结果的影响。
[Abstract]:Due to the influence of policy incentives, peak and valley electricity prices and environmental pollution, the large-scale access of renewable energy generation equipment and energy storage equipment has been gradually realized on the user side, and a user-side microgrid with the core of comprehensive development of demand-side resources has been formed. However, the current research work has not paid enough attention to the user's needs, and the online energy management research for the user side microgrid is still insufficient. Therefore, it is of great significance to study on-line energy management of user-side microgrid. In this paper, the current situation of energy management and interconnected operation of user-side microgrid at home and abroad is introduced, and the shortcomings of existing research work are summarized briefly. In view of the energy management requirements and application characteristics of user-side microgrid, the theoretical basis and application of on-line optimization are briefly summarized, and the basic principle, application characteristics, optimization performance and application range of Lyapunov optimization are discussed in detail. The evaluation index, key features and existing difficulties of online optimization algorithm are summarized. Secondly, an online energy management method is proposed for single user side microgrid to reduce the cost of power consumption. Based on Lyapunov optimization theory, a controllable load queue is constructed, and the energy management problem is transformed into a linear programming problem at every moment. Based on the non-prediction mechanism, the controllable load can be adjusted in real time only by obtaining online information. The event triggering mechanism is used to trigger the online algorithm execution, which effectively reduces the execution frequency and computation cost. The simulation results show that the proposed method not only ensures the power consumption comfort of micro-grid users, but also effectively improves the power economy, and analyzes the influence of the model parameters on the optimal performance. Finally, an online energy sharing method is proposed to improve the self-sufficiency of the micro-grid group and promote the in-situ absorption of renewable energy. Based on Lyapunov optimization theory, a virtual energy storage queue is constructed, and the problem of energy sharing is transformed into a linear programming problem at every moment. The simulation results show that the proposed method not only meets the demand of microgrid users, but also effectively improves the absorption of renewable energy in the user side microgrid cluster. The influence of the configuration parameters of microgrid on the optimization results is analyzed.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM727

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