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Integrated expansion planning of electric energy generation, transmission, and storage for handling high shares of wind and solar power generation

机译：用于处理高份风和太阳能发电的电能发电，传输和存储的集成扩展规划

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In this paper, an integrated multi-period model for long term expansion planning of electric energy transmission grid, power generation technologies, and energy storage devices is introduced. The proposed method gives the type, size and location of generation, transmission and storage devices to supply the electric load demand over the planning horizon. The sitting and sizing of Battery Energy Storage (BES) devices as flexible options is addressed to cover the intermittency of Renewable Energy Sources (RESs), mitigate lines congestion, and postpone the need for new transmission lines and power plants installation. For efficient handling of RESs uncertainties, and operational flexibility, the upward and downward Flexible Ramp Spinning Reserve (FRSR) are modeled. Besides, the Low-Carbon Policy (LCP) is considered in the objective function of the proposed Transmission, Generation, and Storage Expansion Planning (TGSEP) model. A hierarchical clustering method that can preserve the chronology of input time series throughout the planning horizon periods is developed to capture the short-term uncertainties of load demand and RESs. The short-term operational flexibility requirements make the joint long-term transmission and generation planning a high computational problem. Therefore, the Mixed Integer Linear Programming (MILP) formulation of the model is solved using an accelerated Benders Dual Decomposition (BDD) method. The IEEE RTS test system is utilized to validate the effectiveness of the proposed joint expansion planning model.
机译：本文介绍了电能传输电网，发电技术和能量存储装置的长期扩展规划的集成多时期模型。该方法提供了生成，传输和存储设备的类型，大小和位置，以提供规划地平线上的电负载需求。电池储能（BES）器件的坐姿和尺寸作为灵活的选择，以涵盖可再生能源（RESS），减缓线条拥塞的间歇性，并推迟了新的传输线路和发电设备的需求。为了有效地处理RESS不确定性，以及操作灵活性，上下和向下的柔性斜坡旋转储备（FRSR）是建模的。此外，低碳政策（LCP）被认为是所提出的传输，发电和存储扩展规划（TGSEP）模型的目标函数。开发了一种分层聚类方法，可以在整个规划地平线期间维护输入时间序列的年代学，以捕获负载需求和ress的短期不确定性。短期操作灵活性要求使联合长期传输和生成规划高计算问题。因此，使用加速弯曲分解（BDD）方法来解决模型的混合整数线性编程（MILP）制剂。 IEEE RTS测试系统用于验证所提出的联合膨胀计划模型的有效性。

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