OPTIMASI MULTIOBJEKTIF UNIT COMMITMENT DENGAN FUNGSI BIAYA MEMPERTIMBANGKAN RAMP-RATE CONSTRAINT MENGGUNAKAN METODE BINARY PARTICLE SWARM OPTIMIZATION (BPSO)

Unit Commitment (UC) is a matter of managing power plants. There are many restrictions on the delivery of generators to the power system, including minimum outages, minimum ignition, and minimum and maximum power that generators can produce. In addition to the existing restrictions, it is also necessary to consider the loss of power (power loss) of the power system during transmission. So in this study will solve two cases, namely the UC problem by considering and not the cost function and ramp-rate constraints on the generator. The Newton-Raphson method is used to find the amount of power lost in the system, and the binary particle optimization algorithm (BPSO) is used to solve the UC problem. The results obtained that the UC by considering ramp-rate constraints makes the cost of generation and ignition a better generator and makes the generator healthier and a longer generator life