Optimal allocation and sizing of Distributed Generation in distribution system via Firefly Algorithm

2012 ◽  
Author(s):  
M. H. Sulaiman ◽  
M. W. Mustafa ◽  
A. Azmi ◽  
O. Aliman ◽  
S. R. Abdul Rahim
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Allocation

scholarly journals Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm

2018 ◽  
Vol 150 ◽  
pp. 01014
Author(s):  
Siti Rafidah Abdul Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Allocation ◽  
Load Factor ◽  
Load Model ◽  
Load Models ◽  
Voltage Dependent ◽  
Identification Technique

This paper presents the effect of load model prior to the distributed generation (DG) planning in distribution system. In achieving optimal allocation and placement of DG, a ranking identification technique was proposed in order to study the DG planning using pre-developed Embedded Meta Evolutionary Programming–Firefly Algorithm. The aim of this study is to analyze the effect of different type of DG in order to reduce the total losses considering load factor. To realize the effectiveness of the proposed technique, the IEEE 33 bus test systems was utilized as the test specimen. In this study, the proposed techniques were used to determine the DG sizing and the suitable location for DG planning. The results produced are utilized for the optimization process of DG for the benefit of power system operators and planners in the utility. The power system planner can choose the suitable size and location from the result obtained in this study with the appropriate company’s budget. The modeling of voltage dependent loads has been presented and the results show the voltage dependent load models have a significant effect on total losses of a distribution system for different DG type.

Analysis on Load Model for Cost Optimization Using Embedded Meta EP-Firefly Algorithm for DG Installation

2015 ◽  
Vol 793 ◽  
pp. 478-482
Author(s):  
S.R.A. Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Cost Optimization ◽  
Load Model ◽  
Load Models ◽  
Generation Planning ◽  
Voltage Dependent ◽  
The Cost

This paper presents the analysis on load models for cost optimization for distributed generation planning. The Embedded Meta EP – Firefly Algorithm technique is performed in order to identify the optimal distributed generation sizing. The result obtained show that the proposed technique has an acceptable performance to simulate the data and voltage dependent load models have a significant effect on total losses of a distribution system consequently will affect the cost of the system.

scholarly journals Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm

2019 ◽  
Vol 16 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Khuan ◽  
S. R. A. Rahim ◽  
M. H. Hussain ◽  
A. Azmi ◽  
S. A. Azmi
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Location ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Programming Software ◽  
Matlab Programming ◽  
Voltage Profile Improvement

<p>This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA).  In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.</p>

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