Resumen de Multistage distribution system expansion planning considering distributed generation and reliability
This doctoral dissertation addresses the multistage expansion planning problem of distribution systems. Using a thesis-by-article format, the main findings of the research conducted by the candidate are presented as reported in four journal papers.
The first paper addresses the deterministic multistage expansion planning problem of a distribution system where investments in the distribution network and in distributed generation are jointly considered. Thus, the optimal expansion plan identifies the best alternative, location, and installation time for the candidate assets. The resulting optimization problem is cast as a mixed-integer linear program.
The second paper extends the work described in the first paper by incorporating both the uncertainty related to demand and renewable energy sources and the assessment of reliability. A novel algorithmic approach combining stochastic programming, mixed-integer linear programming, and simulation-based reliability assessment is presented.
The third paper provides a new non-simulation-based linear programming approach to compute the standard network-dependent reliability indices that are widely used in reliability-constrained distribution optimization models.
Finally, the fourth paper investigates the multistage expansion planning problem of a distribution network considering reliability, which is implemented through algebraic expressions based on the findings of the previous paper. The resulting optimization problem is cast as an instance of mixed-integer linear programming.
