Desenvolvimento de técnicas avançadas para construção de regiões de segurança estática

Abstract

This master’s thesis has as main goal to present the development of advanced techniques for the construction of Static Security Regions (SSRs), reviewing the methodologies available in the literature and presenting a computational tool for network analysis, implemented in Python language, focusing on the automated construction of SSRs. First, a detailed review is carried out regarding the main concepts necessary for the proper understanding of the scenario in which SSRs are inserted. In this review, topics such as power systems stability and the operating states to which a power system may be subject are addressed. The on-line Static and Dynamic Security Assessment (SDSA) is also introduced in the review section. A bibliographic review of works that have a direct or indirect connection with SSRs is also carried out. After reviewing and contextualizing the theme, the SSR construction process is presented, in which the developed network analysis tool is introduced. Such a tool was implemented with a focus on computational efficiency and even having the ability to build SSRs using parallel processing. The techniques developed to improve the resources available in an SSR are presented after detailing its construction process. The first technique includes the assessment of electrical losses in the construction process of an SSR, making it possible to observe the variation in the losses of a system, through a heat map, over a safe region. The second technique deals with the insertion of a new security limit, called the intermittent generation limit, to make it possible to evaluate the impact of wind generation through SSRs. To reduce the SSR’s construction time, taking into account its practical use, a new construction method, called Adaptive Method, is proposed. This method was based on the conventional SSR construction method and uses SSR’s information associated with previous operation points to accelerate the process of building an SSR at a new operating point. It is demonstrated that the Adaptive Method is capable of generating results with the same quality as the conventional method, but with a considerable reduction in computational time. In addition, the application of secondary voltage control combined with SSR is evaluated to increase the security margins of the system. Finally, the techniques proposed in this work are evaluated and validated through the results of simulations in test systems.