A Graphical Probabilistic Representation for the Impact Assessment of Wind Power Plants in Power Systems
| Autor: | Omar Beltran Valle, Rafael Peña Gallardo, Juan Segundo Ramírez, Eduard Muljadi, David Wenzhong |
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| Rok vydání: | 2020 |
| Předmět: |
Wind power
Computer science Impact assessment business.industry 020209 energy 020208 electrical & electronic engineering Monte Carlo method Probabilistic logic Static VAR compensator Control engineering 02 engineering and technology Electric power system Ground-penetrating radar 0202 electrical engineering electronic engineering information engineering Point of common coupling Electrical and Electronic Engineering business |
| Zdroj: | Journal of Electrical Engineering & Technology. 15:2033-2043 |
| ISSN: | 2093-7423 1975-0102 |
| Popis: | Traditional methods used for the analysis and design of power systems, like power flow studies (PFS), do not consider any uncertainties. For example, when there is a high penetration of wind power plants (WPPs), whose raw material is intermittent. In this paper is proposed a graphical probabilistic representation (GPR) based on multi-objective performance index (MPI) to assess the impact of the WPPs penetration in power systems. This representation is applied to the southeastern network of Mexico, where there is increasing penetration of WPPs. Besides, a comparative study is presented, with and without a static var compensator (SVC) device connected to the mentioned network, to evaluate the effects of shunt compensation in the point of common coupling (PCC) with WPPs. The results of this comparison are discussed using the GPR proposed. The results show that GPR can be utilized as a useful tool to represent a considerable amount of information in a clear, compact, and single visual representation. |
| Databáze: | OpenAIRE |
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