Summary of the panel session "Coordination Between Short-Term Operation Scheduling and Annual Resource Allocations"

1995 ◽  
Vol 10 (4) ◽  
pp. 1879-1889 ◽  
Author(s):  
J. Gardner ◽  
W. Hobbs ◽  
F.N. Lee ◽  
E. Leslie ◽  
D. Streiffert ◽  
...  
Keyword(s):  
Resource Allocations ◽  
Short Term ◽  
Term Operation ◽  
Panel Session ◽  
Operation Scheduling

Short-term operation scheduling of a hydropower plant in the day-ahead electricity market

2010 ◽  
Vol 80 (12) ◽  
pp. 1535-1542 ◽  
Author(s):  
Juan I. Pérez-Díaz ◽  
José R. Wilhelmi ◽  
José Ángel Sánchez-Fernández
Keyword(s):  
Electricity Market ◽  
Hydropower Plant ◽  
Short Term ◽  
Term Operation ◽  
Operation Scheduling

scholarly journals Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach

2014 ◽  
Vol 5 (1) ◽  
pp. 209-217 ◽  
Author(s):  
Binyan Zhao ◽  
Yi Shi ◽  
Xiaodai Dong ◽  
Wenpeng Luan ◽  
Jens Bornemann
Keyword(s):  
Short Term ◽  
Term Operation ◽  
Operation Scheduling

scholarly journals Monte Carlo simulation of district heating system short-term operation in electricity markets

Energetika ◽  
2017 ◽  
Vol 63 (3) ◽  
Author(s):  
Ilias Dimoulkas ◽  
Mikael Amelin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electricity Markets ◽  
Heat Storage ◽  
District Heating ◽  
Short Term ◽  
District Heating System ◽  
Term Operation ◽  
Operation Scheduling

Energy generation in district heating (DH) systems is usually done in combined heat and power (CHP) units which can efficiently produce both useful heat and electric power. There can also exist heat only boilers, electric heaters, heat pumps and heat storage tanks. The coupling of heat and power generation in the CHP units and the possibility to store heat for later use makes the short-term operation scheduling of such systems quite challenging. Furthermore, big DH systems produce power that is sold in the electricity markets. This makes the operation scheduling problem even more complex as the uncertainty of the electricity prices in the markets should be considered. To make optimal decisions under uncertainty, various mathematical optimization tools were developed, such as stochastic programming and robust optimization. In this paper, an approach based on a Monte Carlo simulation is followed. Initially, a model of DH system short-term operation and power trading is mathematically formulated. Then, this model is used to run a Monte Carlo simulation for a case study system where the values of stochastic parameters are simulated using autoregressive models. Results demonstrate that simulation is fast, taking 300–400 runs to converge. A comparison of two system configurations shows that the use of heat storage increases the daily expected profit by 11%. Finally, the electricity price volatility in this case study is such that mainly two CHP units are operating for most of the time.

Short-term operation planning on cogeneration systems: A survey

2008 ◽  
Vol 78 (5) ◽  
pp. 835-848 ◽  
Author(s):  
Fabricio Salgado ◽  
Pedro Pedrero
Keyword(s):  
Operation Planning ◽  
Short Term ◽  
Term Operation
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