Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Probabilistic perspective of the optimal distributed generation integration on a distribution system
Publication

Publications

Probabilistic perspective of the optimal distributed generation integration on a distribution system

Title
Probabilistic perspective of the optimal distributed generation integration on a distribution system
Type
Article in International Scientific Journal
Year
2019
Authors
Juan M. Lujano-Rojas
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Rodolfo Dufo-López
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
José L. Bernal-Agustín
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
José A. Domínguez-Navarro
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 167
Pages: 9-20
ISSN: 0378-7796
Publisher: Elsevier
Other information
Authenticus ID: P-00P-S0M
Abstract (EN): The effects of optimal dimensioning and integration of distributed generation (DG) on an electricity distribution system (DS) from a probabilistic viewpoint is presented in this paper, as a new contribution to earlier studies. The proposed methodology pays special attention to preventing reverse power flow at substation as a consequence of excessive integration of renewable energy based DG. As the analysis of large amounts of data typically measured on an annual basis could be exhausting from a computational perspective, a methodology based on estimating the potential of wind and solar resources is applied; from this procedure, those months of highest renewable potential are selected so that indirectly those situations with probability of reverse power flow at substation are considered. After this, time series of load demand per node and phase are generated using typical profiles and the corresponding peak-load expected. Finally, all this information is introduced on an optimization algorithm based on a genetic algorithm in order to minimize the net present cost over the project lifetime, obtaining the type and number of photovoltaic (PV) panels and wind turbines (WTs) to be installed. This approach allows integrating detailed mathematical models of DG related to PV and wind generation, including specific factors frequently reported by the manufacturers such as temperature coefficients, nominal operating cell temperature, particular WT power curves, and variable efficiency of power converter, among other characteristics. The proposed method is illustrated by studying a DS supposed to be located in Zaragoza, Spain, with 35 nodes under unbalanced conditions, with residential as well as small, medium, and large commercial electricity demands. Focusing our attention on the month of February, due to its high renewable potential, the proposed technique was applied resulting in a system mainly based on wind energy of at least 40% of the substation capacity. This model could be used to perform the renewable energy integration analysis on DS, starting from typical load profiles, hourly estimations of solar and wind resources, and data frequently provided by PV panels and WT manufacturers.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 12
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities (2007)
Another Publication in an International Scientific Journal
João Peças Lopes; Hatziargyriou, N; Mutale, J; Djapic, P; Jenkins, N
Flexibility products and markets: Literature review (2018)
Another Publication in an International Scientific Journal
Villar, J; Bessa, R; Manuel Matos
Consumer-centric electricity markets: A comprehensive review on user preferences and key performance indicators (2022)
Another Publication in an International Scientific Journal
Oliveira, C; Botelho, DF; Soares, T; Faria, AS; Dias, BH; Manuel Matos; De Oliveira, LW
A survey of industrial applications of Demand Response (2016)
Another Publication in an International Scientific Journal
Shoreh, MH; Siano, P; Shafie khah, M; Loia, V; Catalao, JPS
Voltage control of critical and non-critical loads in distribution networks with electric spring (2019)
Article in International Scientific Journal
Mohammad Askarpour; Jamshid Aghaei; Mohammad Hassan Khooban; Miadreza Shafie-khah; João P. S. Catalão

See all (108)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-24 at 14:45:20 | Privacy Policy | Personal Data Protection Policy | Whistleblowing