Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms

Author:

Hemeida Mahmoud G,Alkhalaf Salem,Senjyu Tomonobu,Ibrahim Abdalla,Ahmed Mahrous,Bahaa-Eldin Ayman M.

Funder

Taif University

Publisher

Elsevier BV

Subject

General Engineering

Reference70 articles.

1. Aly Nagat, Hemeida Ashraf M, Ibrahim AA. Moth-flame algorithm and loss sensitivity factor for optimal allocation of shunt capacitor banks in radial distribution systems. In: 2017 nineteenth international middle east power systems conference (MEPCON). IEEE; 2017. p. 851–6.

2. Energy management with capacitor placement for economics low carbon emissions using modified multi-objective grey wolf optimizer;Mohamed,2015

3. Transient stability enhancement using self-adjusting flexible variable series capacitor compensation;Sharaf;Electr Power Syst Res,1999

4. Improvement of voltage stability and critical clearing time for multi-machine power systems using static var compensator;Hemeida;ICGST-ACSE,2009

5. Saleh Ali Ayat, Mohamed Al-Attar Ali, Hemeida AM. Optimal allocation of distributed generations and capacitor using multi-objective different optimization techniques. In: 2019 international conference on innovative trends in computer engineering (ITCE). IEEE; 2019. p. 377–83.

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