An Optimization Technique Based on Profit of Investment and Market Clearing in Wind Power Systems

Maryam Ashkaboosi¹, Seyed Mehdi Nourani¹, Peyman Khazaei², Morteza Dabbaghjamanesh^3, and Amirhossein Moeini⁴

¹Department of Visual Communication Design in Art and Architecture, Islamic Azad University - Tehran Central Branch, Tehran, Iran

²Department of Electrical and Computer Engineering, Shiraz University of Technology, Shiraz, Iran

³Department of Electrical and Computer Engineering, Northern Illinoise University, DeKalb, IL

⁴Department of Electrical and Computer Engineering, University of Florida, Giansville, FL

Cite this paper

Maryam Ashkaboosi, Seyed Mehdi Nourani, Peyman Khazaei, Morteza Dabbaghjamanesh and Amirhossein Moeini. An Optimization Technique Based on Profit of Investment and Market Clearing in Wind Power Systems. American Journal of Electrical and Electronic Engineering. 2016; 4(3):85-91. doi: 10.12691/AJEEE-4-3-3

Abstract

Recently, renewable energies are widely used instead of the fuel energies due to their individual potentials such as its availability, low price and environmentally friendly. One of the most important renewable energies is wind power. As a result, investment in wind power is one of the most interesting research to maximize the profit of the investment and market clearing. In this paper, bi-level optimization technique is proposed to maximize the investment problem and market clearing for the wind power at the same time and in one single problem. Then, karush–kuhn–tucker (KKT) conditions and mathematical programming with equilibrium constraints (MPEC) are applied and tried to find one level optimization problem. Due to the nonlinearity of the optimization equation, the Fortuny-Amat & McCarl (FM) linearization technique is used to linearize the model. Finally, the proposed technique is applied to the IEEE 24 buses. The result proves that the optimization analysis is very easy, fast and accurate due to the linear characteristic of the system. All the simulation results are carried out in MATLAB and GAMS softwares.

Keywords

Optimization, renewable energies, wind power,karush–kuhn–tucker (KKT) conditions, mathematical programming Bi-level optimization

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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