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Annual Report 2011-2012

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<strong>Annual</strong> Research <strong>Report</strong> <strong>2011</strong>-<strong>2012</strong><br />

Project Title:<br />

Designing an optimal bidding software for Gilan regional<br />

electricity company in order to optimal contribution in<br />

electricity market<br />

Department: Electricity management and Economics<br />

Employer: Gilan regional electricity company (GREC)<br />

Project Manager: peyman mousavi<br />

Project Code:CMABG02<br />

Project Staff:F.Fallahi, S.Davari, V.Vahidinasab, N.Mahdavi, L.Khorsand<br />

Project Summary:<br />

In order to be a successful player in electricity market of Iran, GREC have to play with<br />

complete insight and knowledge about real cost of per Megawatt produced electricity,<br />

market opportunities and be aware of its units potentials to choose the best strategy in<br />

every time period so as to reach its targeted profit. This information includes the<br />

following costs:<br />

• Technical costs<br />

• fixed costs such as investment and capital costs<br />

• variable costs such as operation and maintenance costs (including fuel cost)<br />

These costs have been calculating in different time periods with respect to operation<br />

characteristics of system.<br />

The main goal of this project was to design professional software that to be able to<br />

process the production costs of each unit of GREC accurately based on attainable<br />

information. Moreover, with the aid of Neural Network algorithms, our software is able<br />

to run in both Web and Windows environment. Information is gathered from units<br />

(daily or weekly) and after some analysis and evaluation, is represented via managerial<br />

and expertise reports.<br />

The second target of this project was to promote and enhance the place of GREC in<br />

electricity market. So, with investigating the potential and performance of each unit and<br />

foreseeing the behavior of other competitors, our software is able to analyze the<br />

strategic behavior of others and to determine an optimal bidding for each hour of every<br />

unit of GREC.<br />

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