...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Energy >An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units
【24h】

An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units

机译：包含可再生能源转换单元的虚拟电厂的自适应负荷调度和预测策略

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The increasing awareness on the risky state of conventional energy sources in terms of future energy supply security and health of environment has promoted the research activities on alternative energy systems. However, due to the fact that the power production of main alternative sources such as wind and solar is directly related with meteorological conditions, these sources should be combined with dis-patchable energy sources in a hybrid combination in order to ensure security of demand supply. In this study, the evaluation of such a hybrid system consisting of wind, solar, hydrogen and thermal power systems in the concept of virtual power plant strategy is realized. An economic operation-based load dispatching strategy that can interactively adapt to the real measured wind and solar power production values is proposed. The adaptation of the load dispatching algorithm is provided by the update mechanism employed in the meteorological condition forecasting algorithms provided by the combination of Empirical Mode Decomposition, Cascade-Forward Neural Network and Linear Model through a fusion strategy. Thus, the effects of the stochastic nature of solar and wind energy systems are better overcome in order to participate in the electricity market with higher benefits.
机译：就未来能源供应安全和环境健康而言，对常规能源风险状态的认识日益提高，这促进了对替代能源系统的研究活动。但是，由于主要替代能源（例如风能和太阳能）的发电与气象条件直接相关，因此应将这些能源与可调度能源混合使用，以确保需求供应的安全。在这项研究中，在虚拟电厂策略的概念中，实现了对由风能，太阳能，氢能和火力发电系统组成的混合系统的评估。提出了一种基于经济运行的负荷分配策略，该策略可以交互地适应实际测得的风能和太阳能发电量。负荷分配算法的适应性是由气象模式预测算法中采用的更新机制提供的，该机制是通过融合策略将经验模式分解，级联神经网络和线性模型相结合而提供的。因此，更好地克服了太阳能和风能系统的随机性的影响，以便以更高的利益参与电力市场。

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