Representing ZIP loads in convex relaxations of optimal power flow problems. (September 2019)

• Record Type: Journal Article
• Authors: Shen, Zhangliang; Wei, Zhinong; Sun, Guoqiang; Chen, Sheng
• Is Part Of: International journal of electrical power & energy systems. Volume 110(2019)
• Page Start: 372
• Page End: 385
• Publication Date: 2019-09
• Subjects: Optimal power flow -- Convex relaxation -- ZIP load model; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.03.011
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Showing the limitation of classical approaches. Proposed a geometry based convex ZIP load model gives fast and accurate solutions. Validated extensions to a variety of other relaxations are straightforward. Simulation studies are given to show the performance of the proposed model. Abstract: The ZIP load models consist of constant-impedance, constant-current, and constant-power loads, which is crucial to access the network performance. Generally, including the constant-impedance and constant-power load model in the optimal power flow (OPF) problem is typically straightforward in convex formulations. However, further inclusion of an exact constant-current load model results in non-convex terms and is computationally challenging. Hence, this paper proposes a new approach for extending convex relaxations of OPF problems to include representations of ZIP load models. Exploiting knowledge of the reference bus' phase angle, this approach uses geometric relationships to relax the voltage magnitude expressions in order to model the constant-current components, thus enabling convex representations of ZIP load models. The proposed approach is applied to semidefinite, second-order cone and quadratic convex programming relaxations of the OPF problem and demonstrated using several test cases.