电网规划方案的适应性与风险评估

电力规划方案的适应性与风险评估,是电力规划工作中一项极其重要的内容。在市场环境下,电网规划方案所存在的风险及其对不确定因素的适应性,是评估工作面临的新挑战。鉴于电力系统以及电力市场中诸多不确定性因素的影响,基于电力市场模拟的原理,将蒙特卡罗模拟引入到电网规划方案的适应性与风险评估之中,并详细描述了在电力市场环境中对不确定性因素进行蒙特卡罗模拟并应用于市场模拟和生产模拟的基本思想、方法、流程。主要围绕负荷与电价这两个不确定性因素展开,将整体思路应用于江苏省电网规划方案的分析之中,结合华东区域电力市场运营规则,进行了2010年电网规划的评估。实际应用表明,所提出的评估方法能够很好地突出市场中的关键因素,模拟市场中的极端情况,为市场环境下电网规划方案的适应性与风险评估提供了一个切实可行的方法和思路,具有较大的实用价值。

BFA BASED NEURAL NETWORK FOR IMAGE COMPRESSION

A novel Bacterial Foraging Algorithm (BFA) based neural network is presented for image compression. To improve the quality of the decompressed images, the concepts of reproduction, elimination and dispersal in BFA are firstly introduced into neural network in the proposed algorithm. Extensive experiments are conducted on standard testing images and the results show that the pro- posed method can improve the quality of the reconstructed images significantly.