@thesis{thesis,
		author={ },
		title ={OPTIMASI BIAYA PEMBANGKITAN PADA SISTEM STANDAR IEEE 30 BUS MENGGUNAKAN METODE ADAPTIVE PARTICLE SWARM OPTIMIZATION},
		year={2019},
		url={http://eprints.umm.ac.id/47540/},
		abstract={In a power plant development system, fuel use is a matter that needs to be considered, because about 60% of the total operation is fuel. For installation operations, a precise and accurate scheduling system is needed, namely with each generating unit for optimal and economical operation and profit and loss from the transmission can be reduced which can be displayed in the power generation system. Analysis to complete generation costs is usually called Economic Dispatch (ED). This replaces operational financing reversals and also reduces power losses. This research will use three methods, namely conventional methods (Newthon Rapshon), Particle Swarm Optimization (PSO) methods, and Adaptive Particle Swarm Optimization (APSO) methods. The simulation results show that the APSO method can reduce power by 9.86% from the conventional method (Newthon Rapshon) and 2.65% from the PSO method, while the cost generation results are 8.04% from the conventional method (Newthon Rapshon) and 0.01% PSO method. From the results of APSO calculations more than one for power optimization from the conventional method (Newthon Rapshon) and the PSO method, while the best generation cost estimation is obtained by the PSO and APSO methods.}
		}