Generation expansion planning

Generation expansion planning (also known as GEP) is finding an optimal solution for the planning problem in which the installation of new generation units satisfies both technical and financial limits. GEP is a challenging problem because of the large scale, long-term and nonlinear nature of generation unit size. Due to lack of information, companies have to solve this problem in a risky environment because the competition between generation companies for maximizing their benefit make them to conceal their strategies. Under such an ambiguous condition, various nonlinear solutions have been proposed to solve this sophisticated problem. These solutions are based on different strategies including: game theory, two-level game model, multi-agent system, genetic algorithm, particle swarm optimization and so forth.
Software for generation expansion planning.
GAP (Generation Analysis and Planning)
Editor : Innovation Energie Développement 
Creation : 1990
Last Version : 4.1 (feb 2020)
At the heart of the GAP lies a simulation and stochastic model of generation scenarios, calculating the technical and economic results of different hypotheses of expansion of the generation park. Various scenarios can be studied and compared in order to identify, through these sensitivity studies, the most technically and financially optimized options.