Determining Optimal SVC Location for Voltage Stability Using Multi-Criteria Decision Making Based Solution: Analytic Hierarchy Process (AHP) Approach

Abstract

Due to latest blackouts in the world, voltage instability and voltage collapse have become the main issues studied in electrical power systems. For this purpose, various Flexible AC Transmission Systems (FACTS) devices have been utilized for many years, increasing voltage stability while at the same time improving system performance, reliability, supply quality and providing environmental benefits. These devices location for enhancing voltage stability is a significant problem for actual power networks. When determining the best location of the controller, an optimal solution should be found to increase the loading margin and also reduce voltage deviation and power losses. In the literature, the weight coefficients of the criteria were chosen equally or approximate values were obtained by trial and error method and Multi-Criteria Decision Making (MCDM) techniques have never been used in finding the optimal location of FACTS devices. This article presents a novel technique for optimal location of Static Var Compensator (SVC) devices in power systems using MCDM. The simulation was conducted on Power System Analysis Toolbox (PSAT) in MATLAB. In the proposed approach, IEEE 14-bus, IEEE 30-bus and IEEE 118-bus test systems were used and the optimal location was found out with Analytic Hierarchy Process (AHP), an MCDM technique. The consistency of the results has been checked and the reliability has been increased, and the results of the application are promising. In addition, the optimal location of the SVC for different contingencies was found, and the effects of the overloaded lines and Phase-Shifting Transformer (PST) on the network were analyzed.

Improved multi objective particle swarm optimization based reactive power optimization for ensuring voltage security of power systems

“…This situation demands the inclusion of an objective function based on voltage stability indices. In this regard, the most utilized indices include static voltage stability margin [12,13], fast voltage stability index [14], line loading index [15] and line stability index [16].…”

“…The first approach is converting a multi objective problem to a single objective problem. The single objective is expressed as a weighted sum the individual objectives [13,14]. This approach poses a serious problem of weight assignment for each objective.…”

Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index

“…The determination of power electronics location such as static VAR compensator (SVC) to improve voltage stability has also been shown in Aydin and Gumus [15]. This study presents a multicriteria decision making technique based on the analytic hierarchy process (AHP) algorithm to determine the optimal location of SVC.…”

Continuation Power Flow Analysis of Power System Voltage Stability with Unified Power Flow Controller

“…Fei et al [8] presented a coordinated control strategy for multi-objective voltage stability of series FACTS devices. Aydin and Gumus [9] developed a locationbased algorithm to enhance the voltage stability of a power system using a shunt device.…”