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Mathematical Models and Moderns Solution Techniques for the Planning of the Expansion and Operation of Electrical Energy Systems


The development of new mathematical programming models and modern solution techniques to solve the expansion and operation planning problems of the electric power system is of great importance for the different companies and organs of the national and international electric sector, due to the annual growth in demand and the need to meet consumers with quality energy supply, high reliability rates and competitive costs. Thus, new computational tools, developed from the use of optimization techniques, can lead to substantial cost reductions in expansion and operation planning of the electric power system. In this way, it is important for the planning departments of the companies to develop these computational tools for analysis and planning that contemplate the reliability and the quality of the electric power supply economically, taking into account the amount of investments to be applied in the projects of the electric power systems. This research project aims to develop new mathematical models of optimization and modern solution techniques to solve the transmission network expansion planning problem, the optimal active-reactive power flow problem and the Short-term hydroelectric scheduling planning problem. The new mathematical models will be written in the mathematical programming language AMPL and the solution will be obtained through the commercial solvers CPLEX. Modern solution techniques will be implemented in the Python programming language. (AU)

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Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALCAHUAMAN, HEVER; LOPEZ, JUAN CAMILO; DOTTA, DANIEL; RIDER, MARCOS J.; GHIOCEL, SCOTT. Optimized Reactive Power Capability of Wind Power Plants With Tap-Changing Transformers. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, v. 12, n. 4, p. 1935-1946, . (16/08645-9, 19/08200-5, 15/21972-6, 19/01906-0, 17/21752-1, 19/10033-0, 18/20104-9, 17/25425-5)
ARIAS, NATALY BANOL; LOPEZ, JUAN CAMILO; HASHEMI, SEYEDMOSTAFA; FRANCO, JOHN F.; RIDER, MARCOS J.. Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications. IEEE TRANSACTIONS ON SMART GRID, v. 12, n. 3, p. 2708-2721, . (18/23617-7, 15/21972-6, 17/21752-1)
CRUZ, JOHN W.; LOPEZ, JUAN CAMILO; DOTTA, DANIEL; RIDER, MARCOS J.. N-1 Multi-contingency transient stability constrained AC optimal power flow with volt/var controllers. Electric Power Systems Research, v. 188, . (19/01906-0, 15/21972-6, 17/21752-1)
SANTOS, CAIO DOS; RIDER, MARCOS J.; LYRA, CHRISTIANO. Optimized Integration of a Set of Small Renewable Sources Into a Bulk Power System. IEEE Transactions on Power Systems, v. 36, n. 1, p. 248-260, . (16/08645-9, 17/21752-1)
LOPEZ, JUAN CAMILO; TERADA, LUCAS ZENICHI; RIDER, MARCOS J.; WU, QIUWEI. Design and Simulation of a Centralized Self-Healing Scheme for Unbalanced Three-phase Electrical Distribution Systems. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, . (19/01906-0, 17/21752-1, 19/20926-1)
CONSTANTE F., SANTIAGO G.; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.. Optimal Reactive Power Dispatch With Discrete Controllers Using a Branch-and-Bound Algorithm: A Semidefinite Relaxation Approach. IEEE Transactions on Power Systems, v. 36, n. 5, p. 4539-4550, . (19/01906-0, 17/21752-1)
ALVAREZ, ERIK F.; PAREDES, MIGUEL; RIDER, MARCOS J.. Semidefinite relaxation and generalised benders decomposition to solve the transmission expansion network and reactive power planning. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 14, n. 11, p. 2160-2168, . (17/21752-1)

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