论文标题
随机优化技术在单位承诺问题上的应用 - 审查
Application of Stochastic Optimization Techniques to the Unit Commitment Problem -- A Review
论文作者
论文摘要
由于既定的能源生产方法对气候危机的贡献，可再生能源是要取代大部分煤炭或核电站，以防止温室气体或有毒废物进入大气。能源生产的这种相对较快的转变，主要是通过日益增加的政治和经济压力来推动的，这需要能源提供者的巨大努力，以平衡生产波动。因此，在电网和微电网的随机单位承诺（UC）的关键领域进行了许多研究。单位承诺一词包括各种优化技术，在本文中，我们将回顾该领域的最新发展。首先，我们对不同的问题定义和随机优化程序进行概述，然后评估对该主题的最新贡献。因此，我们比较了几篇论文的建议和案例研究。
Due to the established energy production methods contribution to the climate crisis, renewable energy is to replace a substantial part of coal or nuclear plants to prevent greenhouse gases or toxic waste entering the atmosphere. This relatively quick shift in energy production, primarily pushed by increasing political and economical pressure, requires enormous effort on the part of the energy providers to balance out production fluctuations. Consequently, a lot of research is conducted in the key area of stochastic unit commitment (UC) on electrical grids and microgrids. The term unit commitment includes a large variety of optimization techniques, and in this paper we will review recent developments in this area. We start by giving an overview over different problem definitions and stochastic optimization procedures, to then assess recent contributions to this topic. We therefore compare the proposals and case studies of several papers.
