• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Generation, Transmission & Distribution, IET >Optimal investment strategies for distributed generation in distribution networks with real option analysis
【24h】

Optimal investment strategies for distributed generation in distribution networks with real option analysis

机译：带有实物期权分析的配电网络中分布式发电的最优投资策略

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

Efficient and well-timed investment in distributed generation (DG) in distribution networks in the electricity market environment presents a big challenge for distribution companies. In this study, a real option valuation framework is proposed to determine the optimal investment strategies for DG including the investment location, size, and timing. Within the proposed framework, the profit from investing in DG is modelled, where the benefits include the operation cost savings and capacity update deferral benefit compared with a no-DG-investment scenario over the study period. Future power demands and electricity prices are modelled as stochastic variables. The candidate DG investment plans are considered as multiple mutually exclusive options, and the corresponding managerial flexibility for seizing opportunities and mitigating risk of loss upon an unfavourable unfolding of future uncertainties is assessed with real option analysis using the extended least square Monte Carlo method. The distribution of future investment strategies and optimal initial investment threshold levels under various scenarios are analysed in a case study to demonstrate the characteristics of the proposed framework and methodology.
机译：在电力市场环境下，对配电网络中的分布式发电（DG）进行有效且及时的投资对配电公司提出了巨大的挑战。在这项研究中，提出了一种实物期权评估框架来确定DG的最佳投资策略，包括投资地点，规模和时机。在拟议的框架内，对在DG上的投资利润进行了建模，其中收益包括在研究期内与无DG投资的情况相比的运营成本节省和产能更新延期收益。未来的电力需求和电价被建模为随机变量。候选DG投资计划被认为是多个互斥的选择，并且通过使用扩展最小二乘蒙特卡洛方法进行的实物期权分析，评估了在抓住机遇并减轻未来不确定性的不利影响时减轻损失风险的相应管理灵活性。通过案例分析，分析了在各种情况下的未来投资策略和最佳初始投资门槛水平，以证明所提出框架和方法的特征。

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