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Optimisation model for online generators when a new generator is about to get started during power system restoration process

机译:电力系统恢复过程中将要启动新发电机时的在线发电机优化模型

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摘要

Rapid restoration of power systems is vitally important following an outage; however, existing optimal objectives and models to start up all the generators may cause problems where by some generators are ramping while others are waiting shown in the calculation results. To address this problem considering the generator regulation characteristics, a variable-constrained maximum-value minimisation model is proposed in this study to describe the practical problem. By introducing the time variable t, the variable-constrained optimisation problem is converted to a constrained optimal power flow problem, which can be solved using common optimisation approaches. Applying the proposed model and method, the optimisation method is discussed considering the characteristics of generators during power system black start. Numerical results show that the algorithm is effective and can significantly reduce the restoration time. The algorithm described here is applied to the Guangdong power grid self-healing decision-making system.
机译:停电后,快速恢复电力系统至关重要。但是,启动所有发电机的现有最佳目标和模型可能会引起一些问题,其中有些发电机正在加速运行,而另一些正在等待计算结果中显示。为了考虑发电机调节特性解决此问题,本研究提出了一个变量约束的最大值最小化模型来描述实际问题。通过引入时间变量t,将变量约束优化问题转换为约束最优潮流问题,可以使用常见的优化方法来解决。应用提出的模型和方法,考虑了电力系统黑启动过程中发电机的特性,讨论了优化方法。数值结果表明,该算法是有效的,可以大大减少恢复时间。此处描述的算法适用于广东电网自愈决策系统。

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