Proposing a Mathematical Model to Expand Power Generation Capacity Considering Dispersed Generation Units to Decrease Carbon Dioxide

This study presents a mathematical model for the development of power plants capacity to control carbon dioxide. The objective function of the model is to minimize the costs of investing in new power plants, costs of fuels, costs of maintenance and social costs of carbon dioxide over the years from 2011 to 2025. The model has some constraints including demand, development of renewable power plants and development of dispersed generation sites. The proposed model has been solved and analyzed in different scenarios regarding approaches such as "economic and environmental", “economic” and “decreasing the costs of investment in renewable technologies”. It should be noted that having conducted the first scenario, the sensitivity of the mathematical model has been studied in relation to a number of parameters. These parameters include the efficiency of technologies, the social costs of carbon dioxide and the costs of maintaining power generation technologies. In the scenario with economic and environmental approach, combined cycle technologies, CHP, small wind and large wind; and in the economic approach, combined cycle technology, CHP and large wind have been justified. Moreover, in the scenario with the reduction of investment costs, variables related to renewable technologies, combined cycle technology, CHP, small wind, large wind and photovoltaic have been taken into account.