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Hybrid distributed generation system (HDGS) modelling for smart self-healing electric microgrids

机译：智能自愈式微电网的混合分布式发电系统（HDGS）建模

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摘要

Hybrid distributed generation systems (HDGSs) can be considered a future aspect of electric grids, and they are currently a rich field of research. There are numerous studies on renewable resources, mainly wind and PV. However, the amount of research on hybrid distributed generation systems (HDGSs) is not as abundant. There are multiple ways to model an HDGS depending on the method of the research, e.g., probabilistic or deterministic. The subsystems of an HDGS can be represented as states using Markov modelling, by simulation using the Monte Carlo technique, by mathematical equations, etc. In the present study, the subsystems of an HDGS will be modelled separately to achieve a highly accurate model for each by including the physical components of every subsystem.;This study proposes a new method of representing a HDGS in that it makes use of multiple techniques and simulations. An effective energy management technique with mathematical equations that govern the power exchange, locally and on the feeder, is also proposed, which gives the running of some energy sources priority over others to minimize the operational cost. Reliability block diagrams (RBDs) will be used to group every subsystem into a minimal number of components to reduce calculation time and complexity. The metrological data of the solar radiation (SR), wind speed (WS), and ambient temperature (TEMP) will be collected and used for forecasting future data. As this study is primarily focused on the operation of the HDGS, the forecast will be an hourly sequential forecast using the auto regressive moving average (ARMA) technique. Secondly, the power output of each distributed generator (DG) will be obtained by using the input-output relation of each subsystem. Monte Carlo simulations will be used to simulate the failures of every subsystem in addition to the equivalent failures seen by the load from the grid. All the subsystems, including the storage, will then be combined into one HDGS. The proposed mathematical equations that govern the energy exchange between the HDGS and the load will subsequently be applied, taking into account the Monte Carlo simulation of all failures and repairs. Thus, the energy supplied to the load at every hour will be obtained as well as the excess or lack of energy at every hour. The three following cases will be studied: one in which the HDGS will supply only the local load beside it, one in which the HDGS will supply the local load and the next load if possible, and one in which the HDGS will supply two loads depending on a provided priority list. Lastly, the reliability of the system will be studied, and additional case studies and analyses will be undertaken.
机译：可以将混合分布式发电系统（HDGS）视为电网的未来方面，并且它们目前是一个非常丰富的研究领域。关于可再生资源的研究很多，主要是风能和光伏。但是，关于混合分布式发电系统（HDGS）的研究数量并不丰富。根据研究方法，例如概率或确定性，可以采用多种方法对HDGS进行建模。 HDGS的子系统可以使用Markov建模，通过使用蒙特卡洛技术进行仿真，通过数学方程式等表示为状态。在本研究中，将分别对HDGS的子系统进行建模，以实现每个模型的高精度模型通过包括每个子系统的物理组件。本研究提出了一种表示HDGS的新方法，它利用了多种技术和仿真方法。还提出了一种具有数学方程式的有效能源管理技术，该数学式控制本地和馈电线上的电力交换，使某些能源的运行优先于其他能源，以最大程度地降低运营成本。可靠性框图（RBD）将用于将每个子系统分为最小数量的组件，以减少计算时间和复杂性。将收集太阳辐射（SR），风速（WS）和环境温度（TEMP）的计量数据，并将其用于预测未来数据。由于本研究主要关注HDGS的运行，因此该预测将是使用自动回归移动平均（ARMA）技术的每小时顺序预测。其次，将通过使用每个子系统的输入-输出关系来获得每个分布式发电机（DG）的功率输出。蒙特卡洛模拟将用于模拟每个子系统的故障，以及电网负载所看到的等效故障。然后，所有子系统（包括存储）都将合并为一个HDGS。考虑到所有故障和维修的蒙特卡洛模拟，随后将应用提出的控制HDGS与负载之间能量交换的数学方程式。因此，将获得每小时提供给负载的能量以及每小时过量或不足的能量。将研究以下三种情况：一种情况，HDGS将仅在其旁边提供本地负载；一种情况，HDGS将提供本地负载，如果可能的话提供下一个负载；另一种情况，HDGS将提供两个负载，具体取决于在提供的优先级列表上。最后，将研究系统的可靠性，并进行其他案例研究和分析。

著录项

  • 作者

    Abdellatif, Hussein.;

  • 作者单位

    King Fahd University of Petroleum and Minerals (Saudi Arabia).;

  • 授予单位 King Fahd University of Petroleum and Minerals (Saudi Arabia).;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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