MIP Formulation Improvement for Large Scale Security Constrained Unit Commitment
نویسندگان
چکیده
As a part of the day-ahead market clearing process, Midcontinent Independent System Operator (MISO) solves one of the largest and most challenging Security Constrained Unit Commitment (SCUC) models. Better computational performance of SCUC models not only improves the market efficiency but also facilitates future market development. This paper introduces two developments on Mixed Integer Programming (MIP) SCUC formulation that results in significant performance improvement on existing MISO day-ahead SCUC: piecewise linear incremental energy curve (PWL) and aggregating variables (AGG). The two developments are also extend to configuration based combined cycle modeling. Other constraints for configuration based combined cycle modeling are also studied. To illustrate the effectiveness of the proposed methods in this paper, numerical results based on MISO system are presented. Index Terms – Combined cycle units, day-ahead electricity market, locally ideal formulation, mixed integer programming, security constrained unit commitment
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Microsoft Word - MIP Formulation Improvement for Large Scale Day-ahead Security Constrained Unit Commitment.docx
As part of the day-ahead market clearing process, MISO solves one of the most challenging Security Constrained Unit Commitment (SCUC) models. This paper introduces several developments on MIP SCUC formulation that result in significant performance improvement. Numerical results based on MISO data are presented. Index Terms – Electricity market, mixed integer programming, security constrained un...
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