• Home
  • Introduction
  • Editorial Board
  • Articles
  • Call For Papers
  • Sponsor and Publisher
  • AEPS
  • >Contact Us

DOI:10.35833/MPCE.2020.000942
Enhanced Flexible Ramping Product Formulation for Alleviating Capacity Shortage in Look-ahead Commitment
Page view: 76        Net amount: 118
Author: Hyeongon Park1,Bing Huang2,Ross Baldick3

Author Affiliation: 1.the Department of Safety Engineering, Pukyong National University, Busan 48513, South Korea;2.the Midcontinent Independent System Operator, Carmel, IN 46032, USA;3.the Department of Electrical & Computer Engineering at The University of Texas at Austin, Austin, USA

Foundation:
This work was supported by a Research Grant of Pukyong National University (2020).
Abstract: The roll-out of a flexible ramping product provides independent system operators (ISOs) with the ability to address the issues of ramping capacity shortage. ISOs procure flexible ramping capability by committing more generating units or reserving a certain amount of headrooms of committed units. In this paper, we raise the concern of the possibility that the procured flexible ramping capability cannot be deployed in real-time operations due to the unit shut-down in a look-ahead commitment (LAC) procedure. As a solution to the issues of ramping capacity shortage, we provide a modified ramping product formulation designed to improve the reliability and reduce the expected operating cost. The trajectories of start-up and shut-down processes are also considered in determining the ramping capability. A new optimization problem is formulated using mixed integer linear programming (MILP) to be readily applied to the practical power system operation. The performance of this proposed method is verified through simulations using a small-scale system and IEEE 118-bus system. The simulation results demonstrate that the proposed method can improve the generation scheduling by alleviating the ramping capacity shortages.

Keywords:
Flexible ramping product ; look-ahead commitment (LAC) ; mixed integer linear programming (MILP) ; reliability
Received:December 23, 2020               Online Time:2022/07/15
View Full Text       Download reader