Mixed integer programming of security-constrained daily hydrothermal generation scheduling (SCDHGS)

This paper presents the application of mixed-integer programming (mip)approach for solving daily hydrothermal generation scheduling (dhgs). in restructuredpower systems, independent system operators (isos) execute security-constrained unitcommitment (scuc) program to plan a secure and economical hourly generation schedulefor daily/weekly-ahead market. dhgs is a highly dimensional mixed-integer optimizationproblem, which might be very dicult to solve when applied for realistic power system;therefore, we use mip. this approach allows precise modeling of hydro and thermal systemsthat are represented in high detail. it includes valve point loadings, prohibited operatingzones (pozs), dynamic ramp rate limits, non-linear start-up cost functions of thermalunits, variable fuel cost, operating services, fuel and emission limits of thermal units andvariable head water-to-power conversion function of hydro plants. to assess the approach,a study case based on an ieee 118 bus system is performed. the eectiveness of theproposed model is shown on dierent test systems.