论文标题
在市场价格不确定性下，基准测试灵活的电力负载调度算法
Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty
论文作者
论文摘要
由于电力系统中的间歇性发电机和分布式发电机的量增加，因此已经制定了许多需求响应计划来安排灵活的能耗。但是，缺乏比较这些方法的适当基准，尤其是在根据反复更新的信息做出决定时。本文提出了一种新的基准测试工具，旨在弥合此差距。对灵活性计划算法进行分类的调查是定义基准标准的输入。该框架可用于不同的目标，以及在电力能源利益相关者面临的各种条件下，对灵活性调度算法感兴趣。它包括一个捕获外观演变的仿真环境 - 趋势信息，可以比较在线计划和调度算法。基准测试工具用于测试七种计划算法，以测量其在不确定的市场条件下的性能。结果表明，在线决策的重要性，数据质量对算法性能的影响，使用健壮和随机编程方法的好处以及值得信赖的基准测试的必要性。
Because of increasing amounts of intermittent and distributed generators in power systems, many demand response programs have been developed to schedule flexible energy consumption. However, proper benchmarks for comparing these methods are lacking, especially when decisions are made based on information which is repeatedly updated. This paper presents a new benchmarking tool designed to bridge this gap. Surveys that classify flexibility planning algorithms were an input to define the benchmarking standards. The framework can be used for different objectives and under diverse conditions faced by electricity energy stakeholders interested in flexibility scheduling algorithms. It includes a simulation environment that captures the evolution of look--ahead information, which enables comparing online planning and scheduling algorithms. The benchmarking tool is used to test seven planning algorithms measuring their performance under uncertain market conditions. The results show the importance of online decision making, the influence of data quality on the algorithm performance, the benefit of using robust and stochastic programming approaches, and the necessity of trustworthy benchmarking.
