...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage
【24h】

Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage

机译：由随机可再生生成和电能存储的受限网络中的定价电力

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

This paper studies the electricity price formation in a competitive market when introducing generation from variable renewable energy technologies with zero marginal cost and electric energy storage systems. A power system is analyzed with a stochastic optimization model combining multi-period optimal power flow with stochastic dynamic programming. The results illustrate how variable renewable energy, in this case solar photovoltaic generation, displaces some of the expensive thermal generation and reduces the price. Electric energy storage will reduce the price variations caused by the variable renewable generation and demand as the time with price cap and zero price is reduced. In systems with only variable renewable generation and energy storage, the price will be set by the probability of scarcity similar to the price formation in hydro power dominated systems. The price will indicated the future cost of scarcity as a stochastic expectation value. This paper assumes that the demand is inflexible. However, the resulting electricity prices will remunerate provision of flexibility, which in turn will contribute to securing the supply and reducing the price volatility.
机译：本文研究了竞争市场的电力价格形成，当从可变可再生能源技术引入具有零边缘成本和电能存储系统的可变可再生能源技术时。用随机动态规划结合多周期最优功率流的随机优化模型分析了电力系统。结果说明了可变可再生能源，在这种情况下，在这种情况下，太阳能光伏发电，取代了一些昂贵的热量生成并降低了价格。电能存储将降低由可变可再生于可再生生成和需求的价格变化，随着价格上限和零价的时间减少。在仅具有可变可再生生成和能量存储的系统中，价格将通过与水电主导系统中的价格形成相似的稀缺性概率来设置。价格将表示未来稀缺成本作为随机期望值。本文假设需求不灵活。但是，由此产生的电价将收回提供灵活性，这反过来有助于确保供应并降低价格波动。

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