An Efficient Holomorphic Based Available Transfer Capability Solution in Presence of Large Scale Wind Farms

Abstract

Available Transfer Capability (ATC) is a crucial issue in electricity market which its solution helps one to accrue higher profit by making an optimal bidding. In this paper, by integrating two methods of Newton-Raphson (NR) and Holomorphic embedding load flow (HELF), an efficient method for Dynamic ATC (DATC) calculation is proposed. The novel non-iterative based DATC calculation enforces an estimate of the potential energy boundary surface to further assess transient stability. The simulation results show that the developed model can handle real-world power system with high penetration of wind farms in a tractable way. The findings further reiterate that the proposed model procures computationally fast and accurate solution which allows its online application for practical and large-scale systems. The implementation of the novel algorithm on the West-Iran system with 848-bus containing a large wind farm proves its promising results.