A Graphical Probabilistic Representation for the Impact Assessment of Wind Power Plants in Power Systems
- PDF / 1,767,087 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 4 Downloads / 173 Views
ORIGINAL ARTICLE
A Graphical Probabilistic Representation for the Impact Assessment of Wind Power Plants in Power Systems Omar Beltran Valle1 · Rafael Peña Gallardo1 · Juan Segundo Ramirez1 · David Wenzhong2 · Eduard Muljadi3 Received: 2 July 2019 / Revised: 17 April 2020 / Accepted: 1 July 2020 © The Korean Institute of Electrical Engineers 2020
Abstract 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. Keywords Monte Carlo method · Multi-objective performance index · SVC device · Stochastic load flow · Wind power plants
1 Introduction In recent decades, many researchers have focused their work on the development of new alternatives to generate electricity [1, 2]. One of these alternatives is the use of renewable * Omar Beltran Valle [email protected] Rafael Peña Gallardo [email protected] Juan Segundo Ramirez [email protected] David Wenzhong [email protected] Eduard Muljadi [email protected] 1
Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, Manuel Nava #8, Zona Universitaria, San Luis Potosí 78290, México
2
Department of Electrical and Computer Engineering, University of Denver, Engineering and Computer Science Building, Room 269, 2155 E. Wesley Ave., Denver, CO, USA
3
University of Aurbun, Alabama 36849, USA
energy sources (RES), intending to reduce the global environmental impact and the dependence on fossil fuels [3]. Although RES brings new opportunities and benefits, new challenges result from their integration into the power systems [4, 5]. Because of this, it is necessary to develop methodologies that allow quantifying their impact in the system, mainly where there is a large-scale penetration of RES [6, 7]. PFS have been used for this purpose because they provide relevant information for the planning, analysis, and assessment of the steady-state operation of typical power systems [8]. However, these studies use specific values for the generation, loads, and configuration of the network [8]. Therefore, these are ineffective to face the challenges of modern power systems with uncertainties like variations of the
Data Loading...
