Hybrid imperialist competitive-sequential quadratic programming (HIC-SQP) algorithm for solving economic load dispatch with incorporating stochastic wind power: A comparative study on heuristic optimization techniques

2014 ◽  
Vol 84 ◽  
pp. 30-40 ◽  
Author(s):  
Mohammad Javad Morshed ◽  
Alireza Asgharpour
Keyword(s):  
Quadratic Programming ◽  
Comparative Study ◽  
Wind Power ◽  
Sequential Quadratic Programming ◽  
Optimization Techniques ◽  
Heuristic Optimization ◽  
Economic Load Dispatch ◽  
Sqp Algorithm

Co-Optimization of Output and Reserve with Significant Penetration of Renewables

2013 ◽  
Vol 427-429 ◽  
pp. 341-345
Author(s):  
Xue Fei Chang ◽  
Zhe Yong Piao ◽  
Xiang Yu Lv ◽  
De Xin Li
Keyword(s):  
Quadratic Programming ◽  
Wind Power ◽  
Sequential Quadratic Programming ◽  
Renewable Generation ◽  
Renewable Sources ◽  
Reliability Level ◽  
Maximum Benefit ◽  
Proposed Model ◽  
Programming Techniques

Co-optimization of output and reserve is necessary in order to provide maximum benefit to both consumers and producers. Once renewable generation sources like wind or solar begin to make up a large proportion of the generation mix, this co-optimization becomes much more difficult since the output of renewable sources is not well-known in advance. In this paper, a uniform reliability level is used as a constraint in the process of output and reserve. The proposed model is tested on the modified 5-bus PJM system. The co-optimization is performed by sequential quadratic programming techniques. The results show that the co-optimization results are strongly related to the uncertainties of wind power, the reliability level of the system, and the reliability of generators when wind makes up a significant portion of the generation mix.

Optimizing the Tilt Angle of Solar Panels by SQP Algorithm

2012 ◽  
Vol 253-255 ◽  
pp. 766-771 ◽  
Author(s):  
Maryam Khademi ◽  
Farzad Jafarkazemi ◽  
S. Ali Saadabadi ◽  
Ehsan Ghazi
Keyword(s):  
Solar Radiation ◽  
Quadratic Programming ◽  
Nonlinear Equations ◽  
Tilt Angle ◽  
Sequential Quadratic Programming ◽  
Measured Data ◽  
Anisotropic Model ◽  
Solar Panels ◽  
Sqp Algorithm ◽  
Tilted Surface

In present research we propose a nonlinear solving method to obtain the optimum tilt angle for solar panels. For this purpose, solar radiation on tilted panels are estimated by applying anisotropic model in Maple and the maximum is obtained by solving parametric nonlinear equations with Sequential Quadratic Programming (SQP) algorithm. Comparing its results with prevalent calculation proved this method faster and more efficient. The used model is validated by comparing results with measured data on a 45o-tilted surface in Tehran, Iran. Results showed solar radiation on a tilted surface increases 32% by monthly adjustments, in comparison with a fixed horizontal surface.

A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem

2015 ◽  
Vol 9 (3) ◽  
pp. 1031-1044 ◽  
Author(s):  
M. S. P. Subathra ◽  
S. Easter Selvan ◽  
T. Aruldoss Albert Victoire ◽  
A. Hepzibah Christinal ◽  
Umberto Amato
Keyword(s):  
Quadratic Programming ◽  
Sequential Quadratic Programming ◽  
Entropy Method ◽  
Cross Entropy ◽  
Economic Load Dispatch ◽  
Cross Entropy Method
Sign in / Sign up

Export Citation Format

Share Document