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提出一种适用于在线调度决策的极限传输容量(TTC)计算方法,同时计算出保守和乐观发电负荷增长模式下的TTC。算法采用连续潮流(CPF)技术并考虑了系统的静态安全约束和暂态稳定约束。采用基于潮流和暂态能量函数的灵敏度技术来确定TTC计算过程中的极端发电负荷增长模式,从而得到了保守和乐观情况下的TTC结果,形成保守和乐观TTC的区间。这种TTC区间可以帮助调度员正确把握系统关键断面的安全水平;另外,保守和乐观TTC结果对应的发电负荷增长模式的差异,为调度员进行合理的调度操作提供了有益的决策信息。测试系统和实际电网的应用效果证明了该算法的有效性和实用性。
This paper presents a method of calculating the ultimate transmission capacity (TTC) suitable for online scheduling decision-making, and simultaneously calculates the TTC under the conservative and optimistic load growth pattern. The algorithm uses continuous-flow (CPF) technology and considers the system’s static and transient stability constraints. Sensitivity techniques based on power flow and transient energy functions are used to determine the pattern of extreme power load growth during TTC calculations, resulting in conservative and optimistic TTC results that yield conservative and optimistic TTC intervals. This TTC interval can help the dispatcher to correctly grasp the safety level of the critical sections of the system. In addition, the difference of the power load growth modes corresponding to the conservative and optimistic TTC results provides useful information for the dispatcher to make reasonable dispatching operations. The application of the test system and the actual grid prove the effectiveness and practicability of the algorithm.