Short-term scheduling of thermal power systems

2002 ◽  
Author(s):  
X. Guan ◽  
P.B. Luh ◽  
H. Yan ◽  
J.A. Amalfi
Keyword(s):  
Power Systems ◽  
Thermal Power ◽  
Short Term

Bi-Objective Short-Term Operation Model for Wind Power Penetrated System

2014 ◽  
Vol 953-954 ◽  
pp. 537-542
Author(s):  
Hai Feng Zhang ◽  
Zhao Jun Zhang ◽  
Jun Zhou ◽  
Yuan Chao Yang
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Pareto Front ◽  
Thermal Power ◽  
Random Variable ◽  
Operation Model ◽  
Short Term ◽  
Term Operation ◽  
Objective Model ◽  
Generic System

In view of the uncertainty and intermittency of wind power, this paper presents a bi-objective short-term operation model to manage wind-thermal power systems. This model takes into account both the offer cost and emission. Wind power is regarded as a random variable and is assumed to follow the beta distribution. The bi-objective particle swarm optimization (BOPSO) approach is applied to solve the bi-objective model and Pareto front is obtained. The model and the solution method are tested on a generic system. The validity of the model and the method has been approved.

Coordination of long- and short-term generation planning in thermal power systems

1995 ◽  
Vol 10 (2) ◽  
pp. 803-809 ◽  
Author(s):  
J. Handke ◽  
E. Handschin ◽  
K. Linke ◽  
H.-H. Sanders
Keyword(s):  
Power Systems ◽  
Thermal Power ◽  
Short Term ◽  
Generation Planning

Supercritical Carbon Dioxide Brayton Cycles Driven by Solar Thermal Power Tower System

2015 ◽  
Vol 1116 ◽  
pp. 94-129 ◽  
Author(s):  
Maimoon Atif ◽  
Fahad A. Al-Sulaiman
Keyword(s):  
Carbon Dioxide ◽  
Mathematical Model ◽  
Power Systems ◽  
Solar Power ◽  
Current Model ◽  
Thermal Power ◽  
Solar Thermal ◽  
Solar Thermal Power ◽  
Thermal Energy Storage Systems ◽  
Tower System

This chapter starts with a background about concentrating solar power systems and thermal energy storage systems and then a detailed literature review about concentrated solar power systems and supercritical Brayton carbon dioxide cycles. Next, a mathematical model was developed and presented which generates and optimizes a heliostat field effectively. This model was developed to demonstrate the optimization of a heliostat field using differential evolution, which is an evolutionary algorithm. The current model illustrates how to employ the developed model and its advantages. The optimization process calculates the optical performance parameters at every step of the optimization considering all the heliostats; thus yields accurate results as discussed in this chapter. On the other hand, complete mathematical model of supercritical CO2Brayton cycles when integrated with solar thermal power tower system was presented and discussed.

Significance of educational modeling during the COVID-19 coronavirus pandemic

2020 ◽  
pp. 57-64
Author(s):  
E.V. Karpovich
Keyword(s):  
Computer Simulation ◽  
Power Systems ◽  
Thermal Power ◽  
Educational Process ◽  
Quality Education ◽  
High Quality ◽  
High Quality Education ◽  
Distant Learning ◽  
Automation Systems ◽  
Detailed Presentation

The article shows computer simulation of the mechanical, thermal power systems and electronics and automation systems for the modern educational process organized remotely during the COVID-19 coronavirus pandemic. The article describes the computer models made by the author, analyzes and highlights the positive aspects of such simulation for conducting distant learning experiments, visual and detailed presentation of theoretical material and making conditions for obtaining high-quality education even under difficult pandemic conditions.

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