Optimal Placement and Sizing of Photovoltaic Based Distributed Generation Considering Costs of Operation Planning of Monocrystalline and Thin-Film Technologies

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Aida Fazliana Abdul Kadir ◽  
Tamer Khatib ◽  
Loo Soon Lii ◽  
Elia Erwani Hassan
Keyword(s):  
Thin Film ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Placement ◽  
Operation Planning ◽  
Power Losses ◽  
Overall Efficiency ◽  
Gravitational Search

Distributed generation (DG) technology has been growing rapidly in industries as this technology can increase the overall efficiency to the power systems. Improper placement and sizing can lead to power losses and interrupt the voltage profile of distribution systems. Studies have been done to solve the DG placement and sizing problem considering several factors, and one of the common factor is minimizing the power losses. However, it is not adequate by only considering the power losses, whereas, the costs of the generation, investment, maintenance, and losses of the distribution system must be taken in consideration. In this research, DG chosen to study is photovoltaic (PV) type which is monocrystalline and thin-film. Costs of operation planning with respect to the power losses is considered which include the costs of investment, maintenance, power loss, and generation that are determined for optimal placement and sizing of DG. The proposed method improved gravitational search algorithm (IGSA) is used in the matlab environment to find the optimal placement and sizing of DG and is tested with the IEEE 34-bus system. The performance of IGSA is then compared with gravitational search algorithm (GSA) and particle swarm optimization (PSO) to find out which algorithm gives the best fitness value and convergence rate. The purpose of this research is to identify the operation planning cost based on the optimization results and improves the optimal placement and sizing of DG in future, to provide maximum economical, technical, environmental benefits, and increase the overall efficiency to the power system.

Optimal Placement and Sizing of Renewable Distributed Generation via Gravitational Search Algorithm

2015 ◽  
Vol 785 ◽  
pp. 556-560 ◽  
Author(s):  
Sa'adah Daud ◽  
Aida Fazliana Abdul Kadir ◽  
Chin Kim Gan ◽  
Abdul Rahim Abdullah ◽  
Mohamad Fani Sulaima ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Operating Cost ◽  
Heuristic Method ◽  
Harmonic Distortion ◽  
Optimal Placement ◽  
Voltage Deviation ◽  
Gravitational Search

The installation of distributed generation (DG) gives advantages to the environment such as, it contribute in the reduction of non-peak operating cost, diversification of energy resources, lower losses thus improving overall organization. These advantages might be rescinded if no proper location and sizing of DGs are considered before the DG’s installation. This paper offers an optimal location and sizing of multiple DGs using heuristic method called gravitational search algorithm (GSA). The suggested algorithm is tested on 13-bus radial distribution system. This method is being compared with particle swarm optimization (PSO) in terms of system power loss, voltage deviation and total voltage harmonic distortion (THDv). GSA shows the ability to locate and sized DG optimally with a better performance and more reliable than PSO.

scholarly journals Assessment of Deployment of DGs and D-STATCOMs in Distribution Network using Gravitational Search Algorithm

2020 ◽  
Vol 8 (5) ◽  
pp. 119-127 ◽  
Keyword(s):  
Energy Saving ◽  
Distributed Generation ◽  
Search Algorithm ◽  
Distribution Network ◽  
Gravitational Search Algorithm ◽  
Power Losses ◽  
Network Operator ◽  
Static Synchronous Compensator ◽  
Gravitational Search ◽  
Performance Of Algorithm

The assessment of distribution network (DN) for reduce the losses and improve power quality, obtaining precise allocation of distributed generation (DG) and distribution static synchronous compensator (D-STATCOM) is mandatory in DN. This paper shows DN analysis with allocation of DG and D-STATCOM for various cases. The nature inspired metaheuristic method, the Gravitational Search Algorithm (GSA) is proposed to obtain the precise allocation of DG and D-STATCOM individually and simultaneously in DN for power losses reduction and total annual energy saving for distribution network operator. To check the performance of algorithm, it is tested on IEEE 33 and IEEE 69 buses DN for various positions of DG and D-STATCOM in DN. The proposed algorithm's performance is compared by some existing algorithms. It is found that proposed technique is able to reduce losses and annual energy saving in distribution network.

AN OPTIMIZATION APPROACH FOR MINIMIZING ENERGY LOSSES OF DISTRIBUTION SYSTEMS BASED ON DISTRIBUTED GENERATION PLACEMENT

2017 ◽  
Vol 79 (4) ◽  
Author(s):  
Umbrin Sultana ◽  
Azhar Khairuddin ◽  
A. S. Mokhtar ◽  
Sajid Hussain Qazi ◽  
Beenish Sultana
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Environmental Benefits ◽  
Optimal Placement ◽  
Energy Losses ◽  
Grey Wolf Optimizer ◽  
Optimization Approach

The interest of electric utilities in distributed energy resources has increased in terms of maximising the latter’s technical, economic and  environmental benefits. This paper presents a Grey Wolf Optimizer (GWO) -based approach for optimal placement and sizing of multiple Distributed Generation (DG), aimed at reducing active and reactive energy losses in the distribution system. Power system constraints, such as voltage magnitude limits and current boundaries are also considered. Recently, a swarm intelligence technique, namely, GWO was introduced, which is inspired by grey wolves strategy and utilises four categories of grey wolves (alpha, beta, delta and omega) to simulate a leadership hierarchy. The GWO technique and two other popular methods Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) – are here tested on 15- and 33-bus radial distribution systems. The numerical results obtained using these methods are compared, with the best performance recorded via the proposed GWO method in terms of not only active and reactive energy loss but also voltage profile and convergence characteristics.

Gravitational Search Algorithm for Optimal Distributed Generation Operation in Autonomous Network

2014 ◽  
Vol 39 (10) ◽  
pp. 7183-7188 ◽  
Author(s):  
J. J. Jamian ◽  
M. W. Mustafa ◽  
H. Mokhlis ◽  
M. A. Baharudin ◽  
A. M. Abdilahi
Keyword(s):  
Distributed Generation ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Autonomous Network ◽  
Gravitational Search

Optimal Placement and Sizing of TCSC using Gravitational Search Algorithm

2012 ◽  
Vol 10 (5) ◽  
Author(s):  
Purwoharjono Purwoharjono ◽  
Muhammad Abdillah ◽  
Ontoseno Penangsang ◽  
Adi Soeprijanto
Keyword(s):  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Placement ◽  
Gravitational Search
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