a salimamini
d nazarpour
a zare gholinejad

Day-ahead market is one of the methods that Generation companies (GENCOS) use it for planning electricity market bidding strategies for days ahead. In this paper calculations of costs and profits are dynamically and separately in different periods called segments. Some of features of this paper are: uncertainty of GENCO’s offering price for selling power of all GENCOS and fuel’s price, maximum profitability of suggesting amount of energy for selling by GENCOS in the critical situation of competitive electricity market, including emission penalty and it’s influence on the costs and using exact relation between output power and fuel price. Genetic algorithm is used in this paper for suggesting the best amount of power for selling in each segment in order to gain the maximum available profit. Normal distribution is used for modeling the uncertainty of offering power of other GENCOS and fuel cost. Objective of the critical situation of market is when the all other rival GENCOS are at their most profitability.

GENCO’S, profit, expense, electricity market, energy sale, day-ahead market