Volume 18, Issue 1 (March 2022)                   IJEEE 2022, 18(1): 2079-2079 | Back to browse issues page


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Mansoori A, Sheikhi Fini A, Parsa Moghaddam M. Robust Operation Planning With Participation of Flexibility Resources Both on Generation and Demand Sides Under Uncertainty of Wind-based Generation Units. IJEEE. 2022; 18 (1) :2079-2079
URL: http://ijeee.iust.ac.ir/article-1-2079-en.html
Abstract:   (549 Views)
In recent years, the increasing of non-dispatchable resources has posed severe challenges to the operation planning of power systems. Since these resources are random in nature, the issue of flexibility to cover their uncertainty and variability has become an important research topic. Therefore, having flexible resources to cover changes in the generation of these resources during their operation can play an essential role in eliminating node imbalances, system reliability, providing the required flexible ramping capacity, and reducing system operating costs. Among flexibility resources, there are quick-act generation units such as gas units that can play an important role in covering net load changes. Also, on the demand side, the optimal design of demand response programs as responsive resources to price and incentive signals, by modifying the system load factor can prevent severe ramps at net load, especially during peak load hours, and as a result, increase system flexibility while decreasing operational cost of the power system. In this paper, unlike the existing literature, the effect of the mentioned flexibility resources (both on the generation side and the demand side) in day-ahead operation planning under high penetration of wind generation units has been studied on the IEEE RTS 24-bus test system. Also, for this scheduling, a mixed-integer, two-stage, and tri-level adaptive robust optimization have been used, which is solved by column-and-constraint generation decomposition-based algorithm to clear the energy and ramping capacity reserve jointly.
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  • Separating generation resources in form of quick and non-quick-act generation units, based on their speed response in order to make optimal use of their ramping capacity.
  • The optimal design of demand response programs in day-ahead scheduling as flexibility resources in demand side for enhancing system flexibility, including incentive and time-based programs.
  • Using two-stage and tri-level adaptive robust optimization based on the column-and-constraint generation (CCG) decomposition method for mentioned day-ahead scheduling problem, which, due to the existence of optimality primal cuts of the problem type, has a high convergence speed.

Type of Study: Research Paper | Subject: Fossil Plants
Received: 2021/01/23 | Revised: 2021/08/25 | Accepted: 2021/09/03

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Creative Commons License © 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.