This paper investigates the risk-oriented multi-area economic dispatch (MAED) problem with high penetration of wind farms (WFs) combined with compressed air energy storage (CAES). The main objective is to help system operators to minimize the operational cost of thermal units and CAES units with an appropriate level of security through optimized WF power generation curtailment strategy and CAES charging/discharging control. In the obtained MAED model, several WFs integrated with CAES units are considered in different generation zones, and the probability to meet demand by available spinning reserve during $N - 1$ security contingency is characterized as a risk function. Furthermore, the contribution of CAES units in providing the system spinning reserve is taken into account in the MAED model. The proposed framework is demonstrated by a case study using the modified IEEE 40-generator system. The numerical results reveal that the proposed method brings a significant advantage to the efficient scheduling of thermal units’ power generation, WF power curtailment, and CAES charging/discharging control in the power system.

中文翻译：

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高风险的风能发电和压缩空气储能系统面向风险的多区域经济调度解决方案

本文研究了风电场（WFs）的高普及率与压缩空气储能（CAES）相结合的风险导向的多区域经济调度（MAED）问题。主要目标是通过优化的WF发电削减策略和CAES充放电控制，帮助系统运营商以适当的安全级别将热力单元和CAES单元的运营成本降至最低。在获得的MAED模型中，在不同的发电区中考虑了几个与CAES单元集成的WF，并且在此期间通过可用纺丝储备满足需求的概率$ N-1 $安全意外事件的特征是风险功能。此外，在MAED模型中考虑了CAES单元在提供系统旋转储备方面的贡献。通过使用改进的IEEE 40发电机系统进行案例研究，证明了所提出的框架。数值结果表明，该方法为电力系统中火电机组的高效调度，WF功率削减和CAES充放电控制提供了显着优势。