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Demand Variation Impact on Tightness of Convex Relaxation Approaches for the ACOPF Problem
- Source :
- 2020 52nd North American Power Symposium (NAPS).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- This paper investigates the impact of the changes in the demand of power systems on the quality of the solution procured by the convex relaxation methods for the AC optimal power flow (ACOPF) problem. This investigation needs various measures to evaluate the tightness of the solution procured by the convex relaxation approaches. Therefore, three tightness measures are leveraged to illustrate the performance of convex relaxation methods under different demand scenarios. The main issue of convex relaxation methods is recovering an optimal solution which is not necessarily feasible for the original non-convex problem in networks with cycles. Thus, a cycle measure is introduced to evaluate the performance of relaxation schemes. The presented case study investigates the merit of using various tightness measures to evaluate the performance of various relaxation methods under different circumstances.<br />6 Pages, 16 Figures, This paper is accepted for the 52nd North American Power Symposium
- Subjects :
- Mathematical optimization
Computer science
Convex relaxation
Relaxation (iterative method)
Systems and Control (eess.SY)
Variation (game tree)
Electrical Engineering and Systems Science - Systems and Control
Measure (mathematics)
Power flow
Electric power system
Optimization and Control (math.OC)
FOS: Mathematics
FOS: Electrical engineering, electronic engineering, information engineering
Mathematics - Optimization and Control
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 52nd North American Power Symposium (NAPS)
- Accession number :
- edsair.doi.dedup.....da4388330b78bd8ce739b2c4bf08c098
- Full Text :
- https://doi.org/10.1109/naps50074.2021.9449673