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Renewable energy integration in zonal markets

机译:区域市场中的可再生能源整合

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In this paper we investigate the impact of zonal network management in the operation of power systems with significant levels of renewable energy integration. Our study is inspired by the current state of the European energy market, and we focus on a case study of the Central Western European (CWE) system. First, we present a hierarchy of models that account for unit commitment, the separation of energy and reserves, and the simplified representation of transmission constraints in a zonal market, in order to examine the impact of these factors on efficiency in a regime of large-scale renewable energy integration. Second, we simulate operations of the CWE system under the zonal market design using a detailed instance that consists of 656 thermal generators, 679 nodes and 1073 lines, with multiarea renewable energy production and 15-minute time resolution. Zonal market operations are compared against deterministic and stochastic unit commitment using high performance computing in order to tackle the scale of the resulting models. We find that market design can have an influence on cost efficiency which far exceeds the benefits of stochastic unit commitment relative to deterministic unit commitment. We conduct a detailed analysis of the numerical results in order to explain the relative performance of the different models.
机译:在本文中,我们研究了具有可再生能源集成水平的区域网络管理对电力系统运行的影响。我们的研究受到欧洲能源市场现状的启发,并且我们重点研究中西欧(CWE)系统的案例。首先,我们提出了一个模型层次结构,用于解释单位承诺,能源和储备的分离以及区域市场中输电约束的简化表示,以便研究这些因素在大型电力市场中对效率的影响。规模化可再生能源整合。其次,我们使用一个由656个热力发电机,679个节点和1073条线路组成的详细实例来模拟按区域市场设计的CWE系统的运行,并具有多区域可再生能源生产和15分钟的时间分辨率。使用高性能计算将区域市场运营与确定性和随机单位承诺进行比较,以解决生成模型的规模。我们发现,市场设计对成本效率的影响远远超过了随机单位承诺相对于确定性单位承诺的收益。我们对数值结果进行详细分析,以解释不同模型的相对性能。

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