کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
761005 | 1462897 | 2013 | 9 صفحه PDF | دانلود رایگان |

In this paper, a new security-constrained self-scheduling framework incorporating the transmission flow limits in both steady state conditions and post-contingent states is presented to produce efficient bidding strategy for generation companies (GENCOs) in day-ahead electricity markets. Moreover, the proposed framework takes into account the uncertainty of the predicted market prices and models the risk and profit tradeoff of a GENCO based on an efficient multi-objective model. Furthermore, unit commitment and inter-temporal constraints of generators are considered in the suggested model converting it to a mixed-integer programming (MIP) optimization problem. Sensitivity of the proposed framework with respect to both the level of the market prices and adopted risk level is also evaluated in the paper. Simulation results are presented on the IEEE 30-bus and IEEE 118-bus test systems illustrating the performance of the proposed self-scheduling model.
► A security-constrained self-scheduling is presented.
► The proposed framework takes into account the uncertainty of the predicted market prices.
► We model the risk and profit tradeoff of a GENCO based on an efficient multi-objective model.
► Unit commitment and inter-temporal constraints of generators are considered in an MIP model.
► Simulation results are presented on the IEEE 30-bus and IEEE 118-bus test systems.
Journal: Energy Conversion and Management - Volume 65, January 2013, Pages 164–172