Bottleneck Engineering and Optimal Technical and Non-Technical Approaches in Power Grid's Congestion Management: A Real Case Study

Articles in Press

Document Type : Original Article

Authors

1 Zanjan Regional Electric Company (ZREC), Zanjan, Iran

2 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

3 Faculty of Electrical and Computer Engineering, Zanjan University, Zanjan, Iran

10.22109/jemt.2024.426665.1477

Abstract

The congestion phenomenon is one of the challenging problems during peak hours of power grids. With no management or scientific approach, it can cause severe and irreparable damage to the grid equipment and substantial financial losses to the network owners. Congestion management has been introduced as a critical solution to eliminate power transmission obstacles and prevent lines and transformers overloading and several grid damages. Some studies have been conducted with the aim of congestion management in recent years, which generally have a technical or non-technical approach using planning and optimizing methods on predetermined data. In this research, a 10-year analysis of monthly peak load snapshots of an actual power system using a powerful analyzer software, PowerFactory version 2022 (DIgSILENT), and recorded loads by the Supervisory Control and Data Acquisition (SCADA) system under different scenarios, including the impacts of distributed generations (renewable or non-renewable), large-scale centralized power plant (PP) and the proposed optimal allocation of flexible ac transmission systems (FACTS) devices such as static VAR compensator (SVC), phase shifting transformer (PST) to the power grid using GWO algorithm, expansion stages in the power lines, stations and increasing the capacity at the bottleneck points are simulated. The effectiveness of both technical and non-technical proposed optimal approaches for congestion management is confirmed in the result section.

Keywords

Main Subjects

Journal of Energy Management and Technology

Articles in Press, Accepted Manuscript
Available Online from 27 April 2024

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History

  • Receive Date: 25 November 2023
  • Revise Date: 09 April 2024
  • Accept Date: 27 April 2024

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