Security Constrained Unit Commitment Considering Ramp Rate and Transmission Line Losses Using Binary Particle Swarm Optimization Based on IEEE 30 Bus System

Abstract

The amount of power generation every time changes according to load demand. In order to get the optimal amount of power generation, a unit commitment study is needed with the aim of obtaining a combination of generation that meets the demand at the cheapest cost. In the calculation of the Unit Commitment, there are constraints that must be considered, Those are the minimum up and down time, spinning reverse, ramp rate, power balance, start-up cost, and power balance. To get a combination of generators that meet the required limits, there are several artificial intelligence algorithms approach, one of the algorithms is Binary Particle Swarm Optimization (BPSO). In this paper, a unit commitment study will be implemented on IEEE 30 bus system by considering ramp rate and transmission line power losses using the Binary Particle Swarm Optimization (BPSO) algorithm to obtain the most optimal combination of generation with the lowest generation costs .