An optimization approach to select portfolios of electricity generation projects with renewable energies

The traditional approach to electricity planning has been t he least cost methodology, which focus on finding the stand-a lone cost of each technology in order to minimize power system cost. However, the increasing liberalization path of electric ity markets as well as the growing inclusion of renewable energy sources in the power generation mix increased the complexity of the power system planning. To overcome these difficulties an alternative met hodology has been proposed in the literature: the mean-variance approach, which has the advantage of explicitly taking into account risk measures as well as the potential correlation between technologies and fuels in power system planning. In this work seven technologies for electricity generation are considered to study the P ortuguese case in 2009-2011. Five from these seven technologies are renewable ones. A multiobjective optimization approach is used to identify the optimal solutions, considering two conflicting objectives - risk and return. The computational results are obtained using the routine fgoalattain from the MATLAB optimization toolbox.