  Power System Resource Planning is the recurrent process of studying and
determining what facilities and procedures should be provided to satisfy and
promote appropriate future demands for electricity. The electric power system
as planned should meet or balance societal goals. These include availability of
electricity to all potential users at lowest possible cost, minimum
environmental damage, high levels of safety and reliability, etc. Plans should
be technically and financially feasible. Plans also should achieve the
objectives the entity doing the planning, including minimizing risk. The
emergence of meta-heuristics has given robustness to the non-analytical
methods, because of the rationale behind them. Besides, evolutionary algorithms
have provided a higher degree of confidence in a stochastic convergence to
optimum and have supported this confidence with a mathematical background
explaining not only how they achieve convergence but also how to improve the
convergence rate. The present work of analyses and implementation can be
divided into: i) Transmission Constrained Generation Expansion Planning (TC
GEP), ii) Composite Generation Expansion and Transmission Network Expansion
Planning (GEP TNEP), iii) Transmission Network Expansion (TNEP) Planning using
AC model, iv) Composite Transmission Network Expansion Planning (TNEP) and
Reactive Power Expansion Planning (RPP) and v) Transmission Network Planning
using Interior-Point Method (IP TNEP).
