Optimization model of ramp-capability reserve considering maximum fluctuation of load in short time-scale

The grid-integration of massive intermittent renewable energy resources has a great influence on the net load fluctuations in short time-scale, which is closely related to the requirements of ramp-capability reserve of controllable generation. In this paper, an optimization model of the ramp-capability reserve is proposed by taking the maximum fluctuation of load (MFL) in short time-scale into consideration. The shortterm load fluctuation is defined as the gap between the maximum load and the minimum load in a given time interval, and MFL is the maximum one within a dispatching cycle. In the proposed method, a random error model is utilized to describe the uncertainties of MFL, and then a probabilistic model is formulated to determine the ramp-capability reserve under the given confidence level. In the case study, it is shown that the proposed method mitigates the ramp-capability shortage by optimizing the ramp-capability reserve to maintain the reliable power system operation.