Least-cost Expansion Planning Model for the Power System in Iran  Fulltext 

[ Alimorad Sharifi ] -
[ Tomas Larsson ] - Department of Economics, University of Goteborg, S- 41180 Goteborg SWEDEN Energy Systems Technology, Chalmers University of Technology, S-412 96 Goteborg SWEDEN
[ Lennart Hjalmarsson ] - Department of Economics, University of Goteborg, S- 41180 Goteborg SWEDEN Energy Systems Technology, Chalmers University of Technology, S-412 96 Goteborg SWEDEN

خلاصه مقاله:

This paper is concerned with the design of an expansion panning m I for the elec ic po r stem in Iran In order to drive the least - cost expansion model under different C02 constraints, a quasi dynamic linear programming model has been used The total discounted system costs have been
minimized as an objective of the model with respect 10 the generation and transmission capacity der deconstrains, peak demand and environmental constraints in or to termine the optimal level of -2033capacity, electricity production and investment over the time horizon 1993 For the simulation Of the mathematical model the regionalized version of MARKAL has been used Two features have binc the cur nt considered in this paper The first feature is transmission expansion modelling, see transmission network in Iran consists of two separate parts, an interconnected network and an isolated system We have considered integration bet~ these two regions in order to analyze the in the shadow prices (marginal costs) of electricity in different S,2 regions. As the numerical results show connecting these regions to each other causes a drastic change on the shadow prices in the course of time The second feature includes new energy technologies such as nuclear, wind, coal and solar power plants since the public policy favours introducing new energy conversion technologies in the electricity industry in the near future. The results suggest that considering the present situation of the Iranian electricity market, nuclear power plants accompanied by hydro electric sites can be chosen as a 4W w suitable alternative for base-load supply and another result is that coal technology is not a good pric a d count rate have also been The he fuel es nd is alternative for electricity generation ncertainty in that the feasible C02 analyzed in order to examine the sensitivity of the model Our findings indicate temission constraints must be 5%.

Dynamic linear programming, MARKAL, Transmission integration, Shadow prices, New energy technologies, Carbon emissions.