Power system voltage instability riskmitigation via emergency demandresponse-based whale optimizationalgorithm

Mohammed Amroune; Tarek Bouktir; Ismail Musirin

doi:10.1186/s41601-019-0142-4

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Power system voltage instability riskmitigation via emergency demandresponse-based whale optimizationalgorithm

Contents | 更新时间：2025-12-19

- Power system voltage instability riskmitigation via emergency demandresponse-based whale optimizationalgorithm
- Protection and Control of Modern Power Systems Vol. 4, Issue 4, Pages: 1-14(2019)
- 作者机构：
  
  1. Department of Electrical Engineering, University of Ferhat,Setif,Algeria
  2. Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam,Malaysia
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-019-0142-4
  CLC：
- Published：2019
- 稿件说明：
移动端阅览
Mohammed Amroune, Tarek Bouktir, Ismail Musirin. Power system voltage instability riskmitigation via emergency demandresponse-based whale optimizationalgorithm[J]. Protection and Control of Modern Power Systems, 2019, 4(4): 1-14.
DOI：

Mohammed Amroune, Tarek Bouktir, Ismail Musirin. Power system voltage instability riskmitigation via emergency demandresponse-based whale optimizationalgorithm[J]. Protection and Control of Modern Power Systems, 2019, 4(4): 1-14. DOI： 10.1186/s41601-019-0142-4.

摘要

In recent years

due to the economic and environmental issues

modern power systems often operate proximately to the technical restraints enlarging the probable level of instability risks. Hence

efficient methods for voltage instability prevention are of great importance to power system companies to avoid the risk of large blackouts. In this paper

an event-driven emergency demand response (EEDR) strategy based on whale optimization algorithm (WOA) is proposed to effectively improve system voltage stability. The main objective of the proposed EEDR approach is to maintain voltage stability margin (VSM) in an acceptable range during emergency situations by driving the operating condition of the power system away from the insecure points. The optimal locations and amounts of load reductions have been determined using WOA algorithm. To test the feasibility and the efficiency of the proposed method

simulation studies are carried out on the IEEE 14-bus and real Algerian 114-bus power systems.

Abstract

In recent years

due to the economic and environmental issues

modern power systems often operate proximately to the technical restraints enlarging the probable level of instability risks. Hence

efficient methods for voltage instability prevention are of great importance to power system companies to avoid the risk of large blackouts. In this paper

simulation studies are carried out on the IEEE 14-bus and real Algerian 114-bus power systems.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Review of modeling and control strategy ofthermostatically controlled loads for virtualenergy storage system

Coordinated control of conventional powersources and PHEVs using jaya algorithmoptimized PID controller for frequencycontrol of a renewable penetrated powersystem

Real-Time Detection of Low-frequency Oscillations in Traction Power Supply Systems Based on Optimized Atomic Decomposition

Cyber-physical-transportation system based co-design of charging pricing and frequency regulation control for EVs in multi-market

Related Author

Yi Ding

Hongxun Hui

Kang Xie

Srikanth Nandiraju

Anil Annamraju

Haitao Hu

Jun Zhu

Zhaoyang Li

Related Institution

Electrical Engineering College of Zhejiang University

Department of Electrical Engineering, National Institute of Technology Warangal, Warangal, Telangana

School of Electrical and Control Engineering, Xi'an University of Science and Technology

Weihe Thermal Power Plant, Shaanxi Power Generation co., LTD.

Department of Communication Systems, INPT, Rabat, Madinat Al Irfane

AI问答

⁰