Optimization of the operation of a flywheel to support stability and reduce generation costs using a Multi-Contingency TSCOPF with nonlinear loads. (January 2019)

• Record Type: Journal Article
• Authors: Arredondo, Francisco; Ledesma, Pablo; Castronuovo, Edgardo Daniel
• Is Part Of: International journal of electrical power & energy systems. Volume 104(2019)
• Page Start: 69
• Page End: 77
• Publication Date: 2019-01
• Subjects: Energy storage -- Insular grid -- Nonlinear programming -- Optimal power flow -- Power system transient stability; 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.2018.06.042
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Integration of a model of a flywheel in a MC-TSCOPF. Assessment of the influence of the load model on the results of the TSCOPF. Calculation of the optimal response of the flywheel that ensures stability. Analysis of the effect of several flywheel control strategies on the generation cost. Application to the power system of the Spanish islands of Fuerteventura-Lanzarote. Abstract: Multi-Contingency Transient Stability Constrained Optimal Power Flow (MC-TSCOPF) models optimize the economic dispatch of power systems while ensuring their stability after a series of reference incidents. This paper proposes a MC-TSCOPF model that represents the power balance at each node of the system and at each sample time. The proposed model includes non-linear loads, synchronous generators, a windfarm, and a Flywheel Energy Storage system (FESS). The model is written on GAMS and solved using a standard Interior Point algorithm. This study focuses on the Fuerteventura-Lanzarote insular grid in Spain, where stability problems and load shedding cause high additional costs due to the low inertia of the system. A FESS has been recently installed in the system to improve its stability, taking advantage of its high-power capacity and rapid response. The proposed TSCOPF model has been applied to optimize the operation of the FESS to support stability in the event of a contingency. The results of the study show that 1) a proper model of non-linear loads is essential in TSCOPF studies; 2) the proposed MC-TSCOPF provides a tool for minimizing the generation costs while ensuring transient and frequency stability; and 3) it is possible to further reduce the generation costs by using the proposed model to calculate an optimal dynamic response of the FESS.