An improved gravitational search algorithm for optimal placement and sizing of renewable distributed generation units in a distribution system for power quality enhancement

2014 ◽  
Vol 6 (3) ◽  
pp. 033112 ◽  
Author(s):  
Aida Fazliana Abdul Kadir ◽  
Azah Mohamed ◽  
Hussain Shareef ◽  
Ahmad Asrul Ibrahim ◽  
Tamer Khatib ◽  
...  
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Placement ◽  
Quality Enhancement ◽  
Renewable Distributed Generation ◽  
Gravitational Search

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 These advantages might be rescinded if no proper location and sizing of DGs are considered before the DG’s installation.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.

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.

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.

Application of Tabu Search for Optimal Placement and Sizing of Distributed Generation for Loss Reduction

2012 ◽  
Vol 433-440 ◽  
pp. 7190-7194 ◽  
Author(s):  
Nattachote Rugthaicharoencheep ◽  
Thong Lantharthong ◽  
Awiruth Ratreepruk ◽  
Jenwit Ratchatha
Keyword(s):  
Tabu Search ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Power Flow ◽  
Search Algorithm ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Placement Problem ◽  
Bus Voltage

This paper presents the optimal and sizing of distributed generation (DG) placement in a radial distribution system for loss reduction. The main emphasis of this paper is to identify proper locations for installing DGs in a distribution system to reduce active power loss and improve bus voltages. Nevertheless, proper placement and sizing of DG units are not straightforward to be identified as a number of their positions and capacities need to be determined. It is therefore proposed in this paper to solve a DG placement problem based on a Tabu search algorithm. The objective function of the problem is to minimize the system loss subject to power flow constraints, bus voltage limits, pre specified number of DGs, and their allowable total installed capacity, and only one distributed generator for one installation position. The effectiveness of the methodology is demonstrated by a practical sized distribution system consisting of 69 bus and 48 load points. The results show that the optimal DG placement and sizing can be identified to give the minimum power loss while respecting all the constraints.

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

A Novel FACTS Based (DDSC) Compensator for Power-Quality Enhancement of L.V. Distribution Feeder with a Dispersed Wind Generator

2006 ◽  
Vol 7 (3) ◽  
Author(s):  
Adel M Sharaf ◽  
Khaled Mohamed Abo-Al-Ez
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Transmission ◽  
Traditional Approach ◽  
Distribution Networks ◽  
System Capacity ◽  
Quality Enhancement ◽  
Wind Generator ◽  
Transmission And Distribution

In a deregulated electric service environment, an effective electric transmission and distribution networks are vital to the competitive environment of reliable electric service. Power quality (PQ) is an item of steadily increasing concern in power transmission and distribution. The traditional approach to overcoming capacity and quality limitations in power transmission and distribution in many cases is the addition of new transmission and/or generating capacity. This, however, may not be practicable or desirable in the real case, for many of reasons. From technical, economical and environmental points of view, there are two important - and most of the time combined - alternatives for building new transmission or distribution networks to enhance the transmission system capacity, and power quality: the Flexible alternating current transmission devices and controllers, and the distributed generation resources near the load centers. The connection of distributed generation to the distribution grid may influence the stability of the power system, i.e. angle, frequency and voltage stability. It might also have an impact on the protection selectivity, and the frequency and voltage control in the system. This paper presents a low cost FACTS based Dynamic Distribution System Compensator (DDSC) scheme for voltage stabilization and power transfer and quality enhancement of the distribution feeders connected to a dispersed wind generator, using MATLAB/ SimPower System simulation tool.

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