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

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.

2021 ◽  
Author(s):  
Matteo Contu ◽  
Roberto Gnudi ◽  
Flavio Allella ◽  
Antonio Pascucci ◽  
Enrico Maria Carlini ◽  
...  

2002 ◽  
Vol 26 (4) ◽  
pp. 241-255 ◽  
Author(s):  
J. K. Kaldellis

Stand-alone wind power systems provide a solution for the electrification of isolated families. However, optimal sizing is usually based on simplified cost analysis of the initial installation. In this paper, a complete long-term energy production cost investigation is developed. This considers the fixed and variable costs of maintenance, operation and financing, in addition to initial costs. The new model includes local economic parameters, technological improvements concerning the system components and the local wind characteristics. By using the proposed model, the requirements and costs of the appropriate stand-alone system are recalculated and then compared with those based only on the initial installation. According to the results obtained, the proposed configuration uses larger wind turbines and smaller batteries than that the installation-only scenario. Finally, the energy production values are compared to available operational data from autonomous thermal power plant on various small Greek islands.


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