Alejandro Garcés-Ruiz , Walter Gil-González , Oscar Danilo Montoya
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引用次数: 0
Abstract
This paper presents an optimization framework for solving the quasi-dynamic optimal power sharing problem in isolated DC microgrids. Said framework involves estimating the nodal-admittance matrix for a reduced model that includes nodes with inverter-based renewable resources. This estimation is not precise, so the uncertainty in the model is directly addressed in the optimization problem by incorporating robust constraints. Different properties of the estimation and optimization algorithms are mathematically studied, and the simulation results obtained in a test system are outlined, wherein the grid is represented by a full dynamic model and the optimization and control correspond to the proposed quasi-dynamic model. Both theoretical and simulation results demonstrate the high performance of the proposed framework.
期刊介绍：
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.
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