Year: 2021
Type: preprint
Abstract: Distribution Load Estimation (DLE) is a key function of Distribution Management System (DMS). In this paper a novel method for presenting historical load data in the form of Representative Load Curves (RLC) is presented. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is used in this regard to estimate the RLC. Accurate RLCs provide better pseudo-measurements for real-time load estimation in distribution networks. The performance of the proposed method is demonstrated on an 11kV radial distribution network with the aid of the MATLAB software. The mean absolute percent error (MAPE) criterion is used to quantify the accuracy of the estimated RLC.
Source: arXiv (Cornell University)
Authors: Eyisi, Chiebuka, Lotfifard, Saeed
Institution: University of Central Florida
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2749797640