Optimal placement of SPV based DG system for loss reduction in radial distribution network using heuristic search strategies

2011 ◽  
Author(s):  
Sheeraz Kirmani ◽  
Majid Jamil ◽  
M. Rizwan
Keyword(s):  
Radial Distribution ◽  
Heuristic Search ◽  
Distribution Network ◽  
Search Strategies ◽  
Optimal Placement ◽  
Loss Reduction

Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network

2018 ◽  
pp. 29-48 ◽  
Author(s):  
Mahesh Kumar ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Luqman Hakim Rahman
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Distribution Network ◽  
Stability Index ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Optimal Placement

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.

scholarly journals Multi-Objective Grey Wolf Optimization for Optimal Allocation of Distributed Generators in Distribution Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 664-670
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Real Power ◽  
Multi Objective ◽  
Distributed Generators

The power loss in the radial distribution network is appreciable as compared to transmission network. To reduce the power loss in distribution network which is radial in nature, the solution methodology adopted in this paper is optimal placement of distributed generators (DG). The optimization incorporated is Multi-objective Grey Wolf Optimization (MOGWO). The optimization is accomplished for three different cases. In each case two objective functions are simultaneously optimized to obtain non-dominated solutions using Multi-objective Grey Wolf Optimization. Case (1): To minimize the real power loss and maximize the savings obtained due to DG installation. Case (2): To minimize real power loss and maximum voltage deviation in the network. Case (3): To minimize real power loss and rating of DG installed. MOGWO method maintains an archive which contains pareto-optimal solutions. The archive mimics the behaviour of grey wolves. MOGWO method is verified on radial distribution networks. The effectiveness of the optimization method is proven by comparing the results with other optimization methods available in the literature.

scholarly journals Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques

2015 ◽  
Vol 5 (4) ◽  
pp. 788
Author(s):  
Su Mon Myint ◽  
Soe Win Naing
Keyword(s):  
Radial Distribution ◽  
Power Dissipation ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Network ◽  
Network Reconfiguration ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Losses ◽  
Voltage Profile Improvement

Nowadays, the electricity demand is increasing day by day and hence it is very important not only to extract electrical energy from all possible new power resources but also to reduce power losses to an acceptable minimum level in the existing distribution networks where a large amount of power dissipation occurred. In Myanmar, a lot of power is remarkably dissipated in distribution system.  Among methods in reducing power losses, network reconfiguration method is employed for loss minimization and exhaustive technique is also applied to achieve the minimal loss switching scheme. Network reconfiguration in distribution systems is performed by opening sectionalizing switches and closing tie switches of the network for loss reduction and voltage profile improvement. The distribution network for existing and reconfiguration conditions are modelled and simulated by Electrical Transient Analyzer Program (ETAP) 7.5 version software. The inputs are given based on the real time data collected from 33/11kV substations under Yangon Electricity Supply Board (YESB). The proposed method is tested on 110-Bus, overhead AC radial distribution network of Dagon Seikkan Township since it is long-length, overloaded lines and high level of power dissipation is occurred in this system. According to simulation results of load flow analysis, voltage profile enhancement and power loss reduction for proposed system are revealed in this paper.

scholarly journals Loss Minimization of Power Distribution Network using Different Types of Distributed Generation Unit

2015 ◽  
Vol 5 (5) ◽  
pp. 918
Author(s):  
Su Hlaing Win ◽  
Pyone Lai Swe
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Distribution Network ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Optimum Location ◽  
Power Losses

A Radial Distribution network is important in power system area because of its simple design and reduced cost. Reduction of system losses and improvement of voltage profile is one of the key aspects in power system operation. Distributed generators are beneficial in reducing losses effectively in distribution systems as compared to other methods of loss reduction. Sizing and location of DG sources places an important role in reducing losses in distribution network. Four types of DG are considered in this paper with one DG installed for minimize the total real and reactive power losses. The objective of this methodology is to calculate size and to identify the corresponding optimum location for DG placement for minimizing the total real and reactive power losses and to improve voltage profile   in primary distribution system. It can obtain maximum loss reduction for each of four types of optimally placed DGs. Optimal sizing of Distributed Generation can be calculated using exact loss formula and an efficient approach is used to determine the optimum location for Distributed Generation Placement.  To demonstrate the performance of the proposed approach 36-bus radial distribution system in Belin Substation in Myanmar was tested and validated with different sizes and the result was discussed.

scholarly journals A Novel Hybrid Approach for Optimal Placement of Non-Dispatchable Distributed Generations in Radial Distribution System

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3171
Author(s):  
Prem Prakash ◽  
Duli Chand Meena ◽  
Hasmat Malik ◽  
Majed A. Alotaibi ◽  
Irfan Ahmad Khan
Keyword(s):  
Radial Distribution ◽  
Distribution Network ◽  
Hybrid Approach ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Normal Distribution Function ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Distributed Generations ◽  
Point Estimate Method

The objective of the present paper is to study the optimum installation of Non-dispatchable Distributed Generations (NDG) in the distribution network of given sizes under the given scheme. The uncertainty of various random (uncertain) parameters like load, wind and solar operated DG besides uncertainty of fuel prices has been investigated by the three-point estimate method (3-PEM) and Monte Carlo Simulation (MCS) based methods. Nearly twenty percent of the total number of buses are selected as candidate buses for NDG placement on the basis of system voltage profile to limit the search space. Weibull probability density function (PDF) is considered to address uncertain characteristics of solar radiation and wind speed under different scenarios. Load uncertainty is described by Standard Normal Distribution Function (SNDF). To investigate the solution of optimal probabilistic load flow (OPLF) three-point PEM-based technique was applied. For optimization, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and GA-PSO hybrid-based Artificial Intelligent (AI) based optimization techniques are employed to achieve the optimum value of the multi-objectives function. The proposed multi-objective function comprises loss and different costs. The proposed methods have been applied to IEEE 33- bus radial distribution network. Simulation results obtained by these techniques are compared based on loss minimization capability, enhancement of system bus voltage profile and reduction of cost and fitness functions. The major findings of the present study are the PEM-based method which provides almost similar results as MCS based method with less computation time and as far as loss minimization capacity, voltage profile improvement etc. is concerned, the hybrid-based optimization methods are compared with GA and PSO based optimization techniques.

Sign in / Sign up

Export Citation Format

Share Document