Optimal Generation Expansion Planning Strategy with Carbon Trading
نویسندگان
چکیده
Fossil fuel-firing power plants dominate electric power generation in Taiwan, which are also the major contributor to Green House gases (GHG). CO2 is the most important greenhouse gas that cause global warming. This paper penetrates the relationship between carbon trading for GHG reduction and power generation expansion planning (GEP) problem for the electrical utility. The Particle Swarm Optimization (PSO) Algorithm is presented to deal with the generation expansion planning strategy of the utility with independent power providers (IPPs). The utility has to take both the IPPs’ participation and environment impact into account when a new generation unit is considering expanded from view of supply side. Keywords—Carbon Trading, CO2 Emission, Generation Expansion Planning (GEP), Green House gases (GHG), Particle Swarm Optimization (PSO).
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