Dr Manzoor Davod, Hossein Rezaee,
Volume 2, Issue 6 (12-2011)
Abstract
This paper aims to determine the optimum price of electricity during restructuring process. We maximized social welfare function subject to market equilibrium, maximum production capacity of each group of power plants, maximum demand of each consumer type and the potential of electricity export and import. The model was run using 2007 monthly and annual data by means of GAMS optimization software. The calculated electricity shadow price for the year 2007 was 371.2 per KWh. To get more exact results we run the model for each month separately. The results show that the price of electricity in spring and summer is lower than fall and winter, for marginal cost of power provision in winter rises. This is due to substitution of gas by gasoil and other liquid fuels and also reduction of hydropower production. For both intervals the actual price has a significant deviation from optimum price in Iranian power market.
Siab Mami Pur, Maryam Rabiei, Kiomars Heydari,
Volume 7, Issue 23 (3-2016)
Abstract
The electricity industry that has been administrated with integrated vertical structure worldwide is now undergoing dramatic changes. Electricity industry is converting to a competitive industry in which market powers determine the price of electricity, there for it is important to identify market power. The Electricity Market of Iran and Iran Grid Management Company were established in 2003 and 2004, respectively. One of the most important objectives of the restructuring of Iran’s Electricity Market is to establish a competitive environment. The purpose of this study was to assess the level of competition among regional power companies in the electricity market in 2013. The method employed separates the strategic companies from marginal companies by market share index in the hours of peak consumption in summer, and then simulates the performance of the strategic companies using Cournot’s model. Each Cournot (strategic) company aims to maximize its profits, assuming its competitors keep a constant production. This goes on to reach equilibrium, as long as companies do not take advantage of changes in their production. The results of the simulation shows that firms with higher market share at the summer peak hours have been acting strategically in 2013. Another part of the study investigated the circumstances of the power plants of these companies. Lerner’s index was estimated and showed that all the power plants of Tehran’s Regional Electricity Company had an index of higher than 50 percent which is an indicator of their high market power.
