Power quality assessment of a solar PV and fuel cell-based distributed generation system using unified power quality conditioner
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
Authors: Samal, Sarita; Hota, Prakash Kumar; Barik, Prasanta Kumar
Abstract
This paper deals with power quality (PQ) analysis of distributed generation (DG) system using unified power quality conditioner (UPQC). Despite of the several benefits of DG like excellent energy supply, reducing expansion of power distribution system, environmental friendly and so on, there are several challenges existing due to the integration of DG with the grid or operating it in standalone mode. In order to provide improved PQ of energy supply, it is necessary to analyse the harmonics distortion of the system as well as the voltage sag and swell. This paper explores the detail of PQ impacts in a DG operates in stand-alone mode. The voltage sag compensation with current and voltage harmonics are estimated at varying load conditions with different control scheme like synchronous reference frame (SRF) and modified-SRF technique. The proposed model is developed in MATLAB/Simulink and the results obtained are compared to that of conventional technique.
Steady-state and dynamic simulation of a grinding mill using grind curves
MINERALS ENGINEERING
Authors: le Roux, Johan Derik; Steinboeck, Andreas; Kugi, Andreas; Craig, Ian Keith
Abstract
A dynamic non-linear model was fitted to the grind curve data of an industrial semi-autogenous grinding (SAG) mill by means of a step-wise procedure. Grind curves give the steady-state values of the performance variables throughput, power draw, and grind in terms of the mill filling and critical mill speed. The grind curves indicate the operable region of the grinding mill. An analysis and dynamic simulation of the model show that the model captures the main dynamics of the grinding mill. Further simulations demonstrate that the model represents the full range of steady-state conditions defined by the grind curves. In other words, the dynamic model is quantitatively accurate as it settles at the correct steady-state for the operable region of the grinding mill. Therefore, the model is suitable as a simulator to test and develop optimizing control strategies for global operating conditions rather than only for local operating conditions.