Power: Planning for a brighter future: Modeling and simulation, load forecasting, frequency control, stability, security, and reliability are important factors

IEEE Spectrum ◽  
1977 ◽  
Vol 14 (3) ◽  
pp. 61-68 ◽  
Author(s):  
Gordon D. Friedlander
2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
J. P. Dada ◽  
J. C. Chedjou ◽  
S. Domngang

We show a technique for external direct current (DC) control of the amplitudes of limit cycles both in the Phase-shift and Twin-T oscillators. We have found that amplitudes of the oscillator output voltage depend on the DC control voltage. By varying the total impedance of each oscillator oscillatory network, frequencies of oscillations are controlled using potentiometers. The main advantage of the proposed circuits is that both the amplitude and frequency of the waveforms generated can be independently controlled. Analytical, numerical, and experimental methods are used to determine the boundaries of the states of the oscillators. Equilibrium points, stable limit cycles, and divergent states are found. Analytical results are compared with the numerical and experimental solutions, and a good agreement is obtained.


2014 ◽  
Vol 951 ◽  
pp. 76-79 ◽  
Author(s):  
Miao Cao ◽  
Peng Yin

This paper is based on MATLAB / SIMULINK software for induction motor slip frequency vector control system. Modeling and simulation results show that to get the motor torque ripple is small with this method, and the system meets the general electrical apparatus speed performance required by smooth speed. Effective control of induction motors can be achieved. With the simulation results, it can guide system debugging and installation and having a good application value.


Author(s):  
Gulshan Sharma

This article presents the plan to design model predictive control (MPC) built load frequency control (LFC) action for a multi-area interconnected control framework. The multi-area control framework comprises of plants with differing sources of vitality. The HVDC tie-lines are considered as an interconnection within the control framework. Further, the most of the past studies in this area was to evaluate the performance of LFC based on step load disturbance and these strategies does not speak to the genuine time circumstances of the control framework operation which may cause the over regulation of the control framework. To improve the execution of LFC, a short term load forecasting (STLF) founded LFC using artificial neural network (ANN) is proposed in this paper. Assist, the real load pattern data is collected on hourly basis and process with the help of ANN for LFC studies. The predicted hourly load is utilized to supply future load to the LFC framework by means of look-ahead control calculation on the premise of 10 miniature interim and MPC based LFC are design to alter the set point to zero in order to match the generation with real load pattern in a best possible manner. The comparison between real and forecasted load utilizing MPC is given through computer reenactments for LFC and the application results of real scenario is presented to show efficacy of the proposed work.


2020 ◽  
Vol 9 (3) ◽  
pp. 842
Author(s):  
Medhat Rostum ◽  
Amr Zamel ◽  
Hassan Moustafa ◽  
Ibrahim Ziedan

Electric load forecasting process plays an extensive role in forecasting future electric load demand and peak load by understanding the previous data. Several researchers proved that, the presence of load forecasting error leads to an increase in operating costs. Thus Accurate electric load forecast is needed for power system security and reliability. It also improves energy efficiency, revenues for the electrical companies and reliable operation of a power system.In recent times, there are significant proliferations in the implementation of forecasting techniques. This survey aids readers to summarize and compare the latest predominant researches on electric load forecasting. Besides, it presents the most relevant studies on load forecasting over the last decade and discusses the different methods that are used in load prediction as well as the future directions in this field.


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