Congestion Management by Applying Co-operative FACTS and DR program to Maximize Renewables

TL;DR

This paper introduces a novel two-stage market model integrating FACTS devices and demand response to effectively manage transmission congestion and maximize wind energy utilization.

Contribution

It presents a new incremental welfare consensus method combining FACTS and DR within a two-stage market clearing system to enhance renewable integration.

Findings

Reduces system congestion and improves flexibility.

Increases wind power penetration.

Optimally coordinates FACTS and DR resources.

Abstract

This research proposes an incremental welfare consensus method based on flexible alternating current transmission systems (FACTS) and demand response (DR) programs to control transmission network congestion in order to increase the penetration of wind power. The locational marginal prices are used as input by the suggested model to control the FACTS device and DR resources. In order to do this, a cutting-edge two-stage market clearing system is created. In the first stage, participants bid on the market with the intention of maximizing their profits, and the ISO clears the market with the goal of promoting societal welfare. The second step involves the execution of a generation re-dispatch issue in which incentive-based DR and FACTS device controllers are optimally coordinated to reduce the rescheduling expenses for generating firms. Here, a static synchronous compensator and a series capacitor operated by a thyristor are used as two different forms of FACTS devices. A case study on the modified IEEE one-area 24-bus RTS system is then completed. The simulation results show that the suggested interactive DR and FACTS model not only reduces system congestion but also makes the system more flexible so that it can capture as much wind energy as feasible.