Abstract
An Optimal Power Flow based on Improved Particle Swarm Optimization (OPF-IPSO) with Generator Capability Curve Constraint is used by NN-OPF as a reference to get pattern of generator scheduling. There are three stages in Designing NN-OPF. The first stage is design of OPF-IPSO with generator capability curve constraint. The second stage is clustering load to specific range and calculating its index. The third stage is training NN-OPF using constructive back propagation method. In training process total load and load index used as input, and pattern of generator scheduling used as output. Data used in this paper is power system of Java-Bali. Software used in this simulation is MATLAB.
| Original language | English |
|---|---|
| Pages (from-to) | 48-53 |
| Number of pages | 6 |
| Journal | World Academy of Science, Engineering and Technology |
| Volume | 72 |
| Publication status | Published - Dec 2010 |
Keywords
- Generator capability curve
- Improved particle swarm optimization
- Neural network
- Optimal power flow