Zhang Xinsong

A novel annual wind power planning method of provincial power grid based on time sequential simulations

During these years, rapid developments and large-scale integrations to grids of wind power posed great challenges on power system annual planning and its operation. If only total energy predictions of annual wind power are considered, existing annual wind power plans will differ away real situations when some wind energies are curtailed and so that it is difficult to implement the existing wind power plan. In this paper, a novel annual wind power planning method based on time sequential simulation is proposed. In the model proposed here, both characteristics of wind power and load and capacities of peak-load regulation and transmission are also considered. This model is a large-scale mixed integer grogram problem, and GAMS solver is applied to solve this problem. For verifying the model, an actual provincial power system is selected as case system. The simulation results show that model of a 3-day rolling optimization is appropriate for the actual grid dispatching because of its high computational efficiency. Moreover, the wind power accommodation ability can be improved by using the model to provide a reference for annual planning and renewable energy policy making.

An optimized Vibe target detection algorithm based on gray distribution and Minkowski distance

Aiming at the ghost problem in Vibe algorithm, a fast optimization method based on gray histogram and Minkowski distance was proposed. Firstly, the pixels identified as foreground were labeled and the foreground blocks were connected by morphological processing. Then, the histogram of the current foreground block and the corresponding region of the specified frame were counted respectively. Finally, the similarity between the two gray-scale distributions was measured by Minkowski distance, and compared with the dynamic threshold to determine ghost area. In the target detection experiment, the algorithm could remove the ghosts in the Vibe, restrain the jitter disturbances in the background and reduce the false detection rate of the algorithm while preserving the fastness and real-time performance of the traditional Vibe algorithm, and the algorithm processing speed was between the original Vibe algorithm and mixed Gaussian method, the running time of each frame was 20ms. The experimental results show that this method is feasible for hardware system with real-time requirement.