...
首页> 外文期刊>Engineering Applications of Artificial Intelligence >Long-term joint scheduling of hydropower station group in the upper reaches of the Yangtze River using partition parameter adaptation differential evolution
【24h】

Long-term joint scheduling of hydropower station group in the upper reaches of the Yangtze River using partition parameter adaptation differential evolution

机译:使用分区参数适应差分演化,长江上游水电站组长期联合调度

获取原文
获取原文并翻译 | 示例
           

摘要

Hydropower as renewable, clean and cheap energy occupies a considerable share in power energy production. With more and more hydropower stations being established and involved in joint operation, long-term joint scheduling of hydropower station group (LJSHSG) has become a challenging constrained optimization problem, because of its characteristics of high dimension, nonlinearity and coupling. In order to deal with this problem effectively, the partition parameter adaptation differential evolution (PPADE) is put forward based on success-history based adaptive differential evolution (SHADE). PPADE uses a new mutation strategy "current-to-pbest/U-Ip", which is improved with relaxing the index restrained condition and linearly decreased region of control parameter p with large initial value based on "current-to-pbest/1" to prevent premature convergence. In addition, the partition parameter adaptation divides the population in descending order according to fitness and entry set into C partition so that each population partition corresponds to a partition of entry set for enhancing exploitation by faster and better boot parameter update in PPADE. Then numerical experiments of 10 benchmark functions in high dimension and low dimension have been done, it shows that PPADE with above improvement has stable convergence and high efficiency. With the PPADE compared with other improved DE algorithms in the LJSHSG problem of four completed hydropower stations, Xiluodu, Xiangjiaba, Three Gorges and Gezhouba, in the upper reaches of the Yangtze River, PPADE increases the power production compared to SHADE, EPSDE, CoDE and LSHADE in average best benefit by 9.06, 17.09, 35.69, 69.67 x 10(8) kWh in wet year. It demonstrates that PPADE has stable and efficient convergence to be a useful and reliable tool for LJSHSG problem. Then two hydropower stations under construction, Wudongde and Baihetan, are add into consideration to analysis compensation benefit of hydropower station group (HSG). The increments of the power production in the situation with Wudongde and Baihetan over without Wudongde and Baihetan on power production of four completed hydropower stations are 106.44 x 10(8) kWh, and decrements on deserted water of four completed hydropower stations are 14.22% in wet year. The result shows that joint operation of six hydropower stations and can significantly improve the power generation by reducing the spill water in four completed hydropower stations because of the increased regulation capacity from two hydropower stations under construction in the upper reaches of the Yangtze River.
机译:水电作为可再生,清洁和廉价的能量占据了电力能源生产的相当大的份额。利用越来越多的水电站建立并参与联合运行,水电站组(LJSHSG)的长期联合调度已成为一个具有挑战性的受限优化问题,因为它具有高尺寸,非线性和耦合的特性。为了有效地处理这个问题,基于基于成功历史的自适应差分演化(阴影),提出了分区参数适应差分演进(PPADE)。 PPADE使用新的突变策略“电流到PBEST / U-IP”,随着索引抑制条件和基于“当前到PBEST / 1”的初始值,控制参数P的线性减少区域具有线性减少的区域防止过早收敛。此外,分区参数适应将群体划分为降序按照CORED分区的步骤顺序,以便每个群体分区对应于参与者集的分区,用于通过PPADE更快地增强利用和更好的引导参数更新。然后,已经完成了高维和低维度的10个基准函数的数值实验,它表明,具有上述改进的PPADE具有稳定的收敛性和高效率。与PPADE相比,与其他改进的DE算法相比,在LJSHSG中的四个完整的水电站,Xiluodu,Xiangjiaba,三峡和葛洲坝,在长江的上游,PPADE与阴影,epsde,代码相比增加了电力生产。 LSHADE平均最佳福利于9.06,17.09,35.69,35.69,69.67 x 10(8)kwh在潮湿的年份。它表明,PPADE具有稳定和有效的融合,是LJSHSG问题的有用而可靠的工具。然后,在建设中,沃隆德和白申的两家水电站审议了水电站组(HSG)的分析补偿效益。在没有沃隆德和百晨坦的情况下,电力生产的增量与四个完整的水电站的电力生产的百隆德和白初级有关电力产量的百强是106.44 x 10(8)千瓦时,湿润的四个完整的水电站的荒漠水递减为14.22%年。结果表明,由于在长江上游的两个水电站的调节能力增加,六水电站的联合运行,并且可以通过减少四个完整的水电站中的溢水来显着改善发电。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号