Capacitor Allocation Study Accounting For Load and DistributedSolar Generation Uncertainty with the Use of 2PEM ProbabilisticLoad Flow

• Main Authors: Natanael Acencio Rijo, 林東
• Other Authors: Wei-Min Lin
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/24axyx

碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 103 === An implementation for probabilistic allocation of capacitors is introduced with the use of Two Point Estimate Probabilistic Load Flow, this technique allows to consider uncertainties that arise in the power system due to load variation and installed PV DG solar irradiance dependent output. This uncertainty is accounted for by combining Pattern Search optimization algorithm with Probabilistic Load Flow for the planning decision evaluation of where is best to allocate capacitor banks to minimize the system losses; this allows to obtain a solution that will result to be optimal in most of the cases that could probably occur depending on the system load and PV DG’s historical and expected behavior. The formulation is tested in a 34 bus power system with a defined probabilistic load profile and the solution obtained compared against those obtained based on peak load case studies. The robustness of each solution is tested with randomly generated cases that follow the expected system behavior. The probabilistic allocation method produces a solution that yields lower losses in the power system when uncertainty is present.