14th IEEE PowerTech Conference - PowerTech 2021, Madrid (Spain) Online. 27 junio - 02 julio 2021
Summary:
Total Transfer Capability (TTC) is defined as the amount of electric power that can be transferred between two interconnected transmission networks under some established security system conditions such as maximum power flow through branches. It has important implications for both technical and economic analyses. The main technique used to calculate TTC is the Continuation Power Flow (CPF) technique. CPF computes progressive power flow solutions as the energy transferred increases from zero to full capability. CPF consists of two main steps, predictor and corrector. Tangent approximations generally work properly as predictor step. However, under certain conditions, power flows through branches present a highly nonlinear
behavior. This paper presents a novel predictor for TTC that solves this issue by using a parabolic predictor instead of a tangent approximation and demonstrates it on the IEEE 39 buses test network.
Spanish layman's summary:
La capacidad de transferencia (TTC) tiene importantes implicaciones en los sistemas de energía eléctrica. Para el cálculo del TTC se suelen usar técnicas de continuación. Este artículo presenta un predictor parabólico que mejora el rendimiento de las técnicas de continuación en el cálculo del TTC.
English layman's summary:
Total Transfer Capability (TTC) has important implications in electric power systems. Main technique in TTC computing is the Continuation Power Flow. This paper presents a novel parabolic predictor that improves performance of continuation techniques applied to TTC computation.
Keywords: continuation power flow; parabolic predictor; system security; total transfer capability.
DOI: 
10.1109/PowerTech46648.2021.9494806
Publication date: June 2021.
Citation:
Echavarren, F.M., Rouco, L., Urretavizcaya, M., Lumbreras, S., A parabolic predictor for more efficient calculation of total transfer capability, 14th IEEE PowerTech Conference - PowerTech 2021, Madrid (Spain) Online. 27 June - 02 July 2021.
IIT-21-045A
