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Optimal Generator Start-Up Strategy for Power System Restoration

机译:电力系统恢复的最佳发电机启动策略

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In an earlier EPRI project, the authors employed a knowledge-based system (KBS) to develop a tool to guide system operators to restart generators after a blackout. In this paper, the authors convert the KBS formulation into a Mixed Integer Quadratically Constrained Program (MIQCP) problem. Taking advantage of the quasiconcave property of the generation ramping curves, an algorithm to solve the generator start-up sequence problem is proposed. The solution method breaks the restoration horizon into intervals and develops the restoration plan by finding the status of each generator at each time interval. Optimality is achieved at each step. The algorithm was tested using the PECO data from the EPRI project.
机译:在早期的EPRI项目中,作者采用了基于知识的系统(KBS)来开发一种工具,以指导系统操作员在停电后重启发电机。在本文中,作者将KBS公式转换为混合整数二次约束程​​序(MIQCP)问题。利用发电斜坡曲线的拟凹特性,提出了一种解决发电机启动顺序问题的算法。该解决方案将恢复范围划分为多个间隔,并通过在每个时间间隔找到每个发电机的状态来制定恢复计划。在每个步骤都实现了最优性。使用来自EPRI项目的PECO数据对算法进行了测试。

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