Abstract
Aecurate load models are required Jör 'he computation OJ' load on Medium Voltage (MV) distribution net•.vovk.s_ Modern microprocessors in recent times have enabled researchers stunple and log domestic loads. The findings show that domestic loads are stochastic in nonwe and are best described bv u beta probability distribution [Herman et al. 1999]. The statistical evaluafion lhe consumer voltages requires description load currents al rhe lime e/ lhe system maximum demand. In this paper. an analytical 1001 computing voltage vegulation on MV distribution net-norks fi•eding statistical louds is presenled. To deal beta- distributed currents on MV distribution networks, new scaling factors are evaluated at each node. These new scaling are evaluated "•onr the distribution transformer turns ratio and the deterministic component Of the statistically distributed load currents treated as constant real power loads. The comparison between analytical and Monte Carlo simulation results compare verv well giving a maximum percenl difference voltage drop Of— O. 01530/0 for thc risk level of and 200/0 from the data.
Recommended Citation
Kundy, B. (2004). PROBABILISTIC LOAD FLOW FOR MV RADIAL DISTRIBUTION NETWORKS SUPPLYING STATISTICAL LOADS. Tanzania Journal of Engineering and Technology (TJET), 27(1), 74-84. https://doi.org/https://doi.org/10.52339/tjet.v27i1.346
Publisher Name
University of Dar es Salaam