Optimization of the Operation and Maintenance Schedule of Power Plants Using Particle Swarm Optimization

Abstract

The more rapid progress in the field of electronics needs for electricity is also increasing. So that the electricity provider must optimize production of electric power to keep supply of electrical energy. To keep continuity of electricity supply, various types of power plants that form interconnections within the transmission network must always operate to produce electricity. But on the other hand, each power plant must too have time to not operate. That is the time to maintenance of main equipment. The purpose of maintenance that is no fatal damage to main equipment that can result in not operating for a long time. With the lack of power plant from the system, it can disrupt the stability of electrical energy to consumers. Scheduling operation and maintenance of a power plant is a routine work must be done. The importance of determining operation and maintenance schedule of a power plant is to maintain the stability of electricity to consumers. Scheduling becomes a complicated job because scheduling problems are combinatorials that have boundaries that must be fulfilled. In this study, an automatic scheduling model for operation and maintenance of electricity generation based on the Particle Swarm Optimization (PSO) algorithm was designed.