Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis

被引:0
|
作者
Azhar, Noor Aliff Nazmi Bin Noor [1 ]
Mohamad, Hasmaini [2 ]
Salim, Nur Ashida [2 ]
Yasin, Zuhaila Mat [2 ]
机构
[1] Univ Teknol MARA, Coll Engn, Sch Elect Engn, Shah Alam 40450, Selangor, Malaysia
[2] Univ Teknol MARA, Coll Engn, Sch Elect Engn, Power Syst Planning & Operat Grp PoSPO, Shah Alam 40450, Selangor, Malaysia
关键词
optimization; evolutionary programming; power system reliability; average energy not supplied;
D O I
10.1109/SCOReD53546.2021.9652699
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.
引用
收藏
页码:174 / 179
页数:6
相关论文
共 50 条
  • [31] Optimal placement of energy hubs considering N-1 security criterion
    Lin Z.
    Liu Z.
    Wen F.
    Chen F.
    Zhang L.
    Xu C.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 39 (08): : 137 - 143and231
  • [32] A Novel Acceleration Strategy for N-1 Contingency Screening in Distribution System
    Liu, Pengxiang
    Wu, Zhi
    Gu, Wei
    Yu, Peng
    Du, Jinqiao
    Luo, Xiner
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [33] Performance Index Analysis (PIA) for N-1 Contingency Transmission in 150 kV Electricity System
    Putri, Mellynda Dwi Marda
    Afandi, Arif Nur
    2019 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND INFORMATION ENGINEERING (ICEEIE), 2019, : 48 - 52
  • [34] A Security Level Classification Method for Power Systems under N-1 Contingency
    Lu, Zhigang
    He, Liangce
    Zhang, Dan
    Zhao, Boxuan
    Zhang, Jiangfeng
    Zhao, Hao
    ENERGIES, 2017, 10 (12)
  • [35] Optimal placement of BESS in a power system network for frequency support during contingency
    Okafor, Chukwuemeka Emmanuel
    Folly, Komla Agbenyo
    ENERGY REPORTS, 2023, 10 : 3681 - 3695
  • [36] Stability Domain Analysis for Islanded Microgrid Considering N-1 Contingency
    Lasheen, Ahmed
    Sindi, Hatem F.
    Shaaban, Mostafa F.
    Zeineldin, Hatem H.
    Hamad, Basil
    Al-Durra, Ahmed
    IEEE ACCESS, 2023, 11 : 115986 - 115997
  • [37] N-1 Multi-contingency transient stability constrained AC optimal power flow with volt/var controllers
    Cruz, John W.
    Lopez, Juan Camilo
    Dotta, Daniel
    Rider, Marcos J.
    ELECTRIC POWER SYSTEMS RESEARCH, 2020, 188
  • [38] Optimal Protection Coordination for Inverter Dominated Islanded Microgrids Considering N-1 Contingency
    Sati, Talal Elemamali
    Azzouz, Maher A.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2022, 37 (03) : 2256 - 2267
  • [39] Reliability based PMU placement in a power system
    Bhonsle, Jyoti S.
    Junghare, Anjali S.
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS), 2019, : 628 - 630
  • [40] Optimal Sizing and Placement of Distributed Generation under N-1 Contingency Using Hybrid Crow Search-Particle Swarm Algorithm
    Hussein Farh, Hassan M.
    Al-Shamma'a, Abdullrahman A.
    Qamar, Affaq
    Saeed, Fahman
    Al-Shaalan, Abdullah M.
    SUSTAINABILITY, 2024, 16 (06)