Representative Days for Expansion Decisions in Power Systems
| Autor: | Raquel García-Bertrand, Álvaro García-Cerezo, Luis Baringo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Control and Optimization Computer science Reliability (computer networking) Energy Engineering and Power Technology Electrical Engineering and Systems Science - Systems and Control lcsh:Technology storage Electric power system Production (economics) Electrical and Electronic Engineering Cluster analysis Representation (mathematics) Extreme value theory Engineering (miscellaneous) Mathematics - Optimization and Control Renewable Energy Sustainability and the Environment business.industry generation and transmission expansion planning lcsh:T Renewable energy Transmission (telecommunications) clustering method renewable production business Energy (miscellaneous) |
| Zdroj: | Energies; Volume 13; Issue 2; Pages: 335 Energies, Vol 13, Iss 2, p 335 (2020) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en13020335 |
| Popis: | Short-term uncertainty should be properly modeled when the expansion planning problem in a power system is analyzed. Since the use of all available historical data may lead to intractability, clustering algorithms should be applied in order to reduce computer workload without renouncing accuracy representation of historical data. In this paper, we propose a modified version of the traditional K-means method that seeks to attain the representation of maximum and minimum values of input data, namely, the electric load and the renewable production in several locations of an electric energy system. The crucial role of depicting extreme values of these parameters lies in the fact that they can have a great impact on the expansion and operation decisions taken. The proposed method is based on the traditional K-means algorithm that represents the correlation between electric load and wind-power production. Chronology of historical data, which influences the performance of some technologies, is characterized though representative days, each one composed of 24 operating conditions. A realistic case study based on the generation and transmission expansion planning of the IEEE 24-bus Reliability Test System is analyzed applying representative days and comparing the results obtained using the traditional K-means technique and the proposed method. Comment: 36 pages, 16 figures |
| Databáze: | OpenAIRE |
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