A complete representation of controllers for optimizing the operation of power systems and electricity markets via complementarity constraints

• Grant number: 09/17985-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2010
• End date: November 30, 2012
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Carlos Alberto de Castro Junior
• Grantee: Manfred Fritz Bedriñana Aronés
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 07/07404-9 - Development of computational tools for power systems planning and operation, AP.TEM

Abstract

The goal of this research work is the development of methodologies for analyzing optimization problems of the power systems operation using complete models of the controllers, which consider the loss of variables control and physical limits. These models are included within the optimization formulations via complementarity constraints, which have been used with great success in several engineering areas. This work permits to apply efficiently these models in operation problems (e.g. minimizing of electrical losses, maximizing of margin loading, among others) for solving large power systems. Thus, the convexity of the problem and the techniques of proximity to solution convergence region will be analyzed, also academic computational programs, as GAMS, will be used. The feasibility boundary and its relationship with the solutions will be studied. Exhaustive comparisons with methods what give the real sequence of control states of controllers, as optimal continuation power flow methods, will be realized. So, the proposed optimization tool is considered very useful in new operation problems due to treatment of complete model of controllers considering the feasibility boundary. The obtained program will be modified for the representation of electricity markets with perfect competition, considering the demand and utility models adopted to analyze the equilibrium market. The results help to identify the impact of controllers' model in the energy prices. Several publications in scientific journals are expected as a result of the innovative proposal and analysis. (AU)