Loading...

A modified algorithm for allocating reserve power considering security constraints

Hosseini, S. A ; Sharif University of Technology | 2020

575 Viewed
  1. Type of Document: Article
  2. DOI: 10.1002/2050-7038.12425
  3. Publisher: John Wiley and Sons Ltd , 2020
  4. Abstract:
  5. This paper addresses a novel formulation and solution for the security constrained reserve management (SCRM) problem in both normal and N − 1 contingency conditions. Indeed, the SCRM problem is a modified version of the security constraint unit commitment problem which is updated with the operational reserve management and frequency stability constraints in both normal and N − 1 contingency conditions. The objective of this problem is to determine the optimal amounts of generation associated with different units and frequency regulation reserve (FRR) and allocate the FRR among the generation units. Therefore, the SCRM problem is a mixed integer nonlinear problem which is solved using the genetic algorithm in this paper. The powerful PLEXOS software is also utilized to solved and evaluate the results of the SCRM problem. To determine the effectiveness of the proposed method, some test systems, that is, IEEE 24-bus, IEEE 39-bus, and IEEE 118-bus test systems are considered. Results confirm the efficiency of the proposed algorithm. © 2020 John Wiley & Sons Ltd
  6. Keywords:
  7. Frequency stability ; Genetic algorithm (GA) ; Reserve constraints ; Security constrained reserve management (SCRM) ; Energy management ; Energy resources ; Frequency regulations ; Mixed integer nonlinear problems ; Modified algorithms ; Operational reserve ; Security constrained ; Security constraint ; Stability constraints ; Unit commitment problem ; Genetic algorithms
  8. Source: International Transactions on Electrical Energy Systems ; Volume 30, Issue 7 , 2020
  9. URL: https://onlinelibrary.wiley.com/doi/full/10.1002/2050-7038.12425