In this paper, optimal generation expansion planning (GEP) is investigated considering purchase prices, profits of independent power producers (IPPs) and reliability criteria using a new method based on hybrid coded Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In this approach, optimal purchase price of each IPP is obtained by HCGA and reliability criteria are calculated by PSO...

As more renewables are integrated into the power system, capacity expansion planners need advanced long-term decision-making tools to properly model short-term stochastic production uncertainty and explore its effects on decisions. We develop a distributionally robust generation planning model, accounting for family of potential probability distributions wind forecast error uncertainty. Aiming ...

Nowadays, the transition from a conventional generation system to a renewable generation system is one of the most difficult challenges for system operators and companies. There are several reasons: the long-standing impact of investment decisions, the proper integration of renewable sources into the system, the present and future uncertainties, and the convenience to consider an integrated yea...